Flushing Out the Diagnosis

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Flushing out the diagnosis

A 42‐year‐old woman with a history of mild asthma presented to the emergency department (ED) following 1 week of headache. She had been in her usual state of good health until 1 week prior to her presentation, when she noticed intermittent frontal headaches without neck stiffness or other neurologic symptoms. She then developed diffuse myalgias, fatigue, subjective fevers, and rigors for the 24 hours prior to presentation. On the morning of presentation, chest tightness, palpitations, and shortness of breath occurred. She used her albuterol metered‐dose inhaler without relief and went to the hospital.

Many of these features can be explained by a viral syndrome exacerbating underlying asthma or by a psychiatric condition such as anxiety or depression, but they may also be a harbinger of a systemic process, including infection, malignancy, or autoimmunity. Because the onset of headache is temporally distant from the other symptoms, I am more inclined to believe that it represents a primary intracranial process than I would if it were coincident with the onset of the other acute symptoms. If the fevers and rigors are verified, infection would be the initial concern. Failure to respond to her inhalers may either signify a severe asthma exacerbation or a nonbronchospastic cause of dyspnea.

She reported mild nausea, but denied photophobia, vomiting, abdominal pain, diarrhea, melena, or hematochezia. She did not have recent ill contacts, animal bites, or travel. Her medical history included asthma, diverticulitis, chronic right ankle pain, and obesity. She reported an allergic rash to amoxicillin. Her medications were sulindac and fluticasone/salmeterol, and albuterol metered‐dose inhalers. She worked as a preschool teacher and was married with 2 children. She denied any tobacco use and seldom drank alcoholic beverages. On exam, temperature was 36.7C, pulse was 107 beats per minute, blood pressure was 129/91 mm Hg, respiratory rate was 19 breaths per minute, and oxygen saturation was 98% while breathing ambient air. Her face and anterior neck were flushed and diaphoretic, and her sclerae were icteric. There was no nuchal rigidity. Her cardiac rhythm was regular without murmurs, lungs were clear to auscultation, and the abdomen was mildly tender to palpation in the epigastrium and right upper quadrant. The white blood cell (WBC) count was 9200/L, with 84% neutrophils, 3% lymphocytes, 6% monocytes, and 7% eosinophils. The hemoglobin was 14.8 g/dL and the platelet count was 166,000/L. Total serum bilirubin was 4.6 mg/dL, aspartate aminotransferase (AST) was 459 U/L (normal range, 8‐31), alanine aminotransferase (ALT) was 667 U/L (normal range, 7‐31), and alkaline phosphatase was 146 U/L (normal range, 39‐117). Serum electrolytes, creatinine, lactate, lipase, thyrotropin, coagulation studies, and cardiac enzymes were all normal. Urinalysis showed trace leukocyte esterase and bilirubin, as well as 3 WBCs and 2 red cells per high‐power field. Chest radiography and an electrocardiogram demonstrated no abnormalities.

The major findingwhich is critical to focusing problem‐solving in the face of a broad range of symptomsis her hepatitis. The common etiologies for hepatitis of this degree include viruses (hepatitis A and cytomegalovirus [CMV] should be considered given her work in preschool), toxins, autoimmunity, and vascular events. Liver disease in association with flushing raises the possibility of carcinoid syndrome with liver metastases. The lack of wheezing makes the bronchospasm of asthma or carcinoid less suitable explanations for her shortness of breath. Her eosinophilia is mild but probably is not accounted for alone by well‐controlled asthma in a person with no history of atopic disease. I would also ask her about any alternative and over‐the‐counter remedies. The paucity of lymphocytes raises the possibility of human immunodeficiency virus (HIV), Hodgkin's disease, or systemic lupus erythematosus. Although she does not have a documented fever or leukocytosis, she reported fevers and chills and is diaphoretic and tachycardic, so exclusion of biliary obstruction and cholangitis is the highest priority.

An abdominal ultrasound demonstrated hepatomegaly with moderate fatty infiltration and a normal gallbladder without pericholecystic fluid. The intrahepatic and extrahepatic biliary ducts were normal and the hepatic and portal veins were patent. Computed tomography of the abdomen showed slight thickening of the sigmoid colon wall. Ciprofloxacin and metronidazole were administered for possible diverticulitis. Over the first 48 hours of hospitalization her symptoms improved markedly. Her flushing resolved and she had no recorded fevers in the hospital. Serologies were negative for hepatitis A immunoglobulin M (IgM), hepatitis B surface antibody, hepatitis B surface antigen, and hepatitis C antibody. A monospot test was negative and the erythrocyte sedimentation rate was 11 mm/hour. Blood and urine cultures were negative. On the second hospital day the absolute eosinophil count rose to 855/L (15% of 5700 WBCs). On the fourth hospital day, the absolute eosinophil count was 1092/L, the total bilirubin was 1.9 mg/dL, and the AST and ALT were 174 U/L and 476 U/L, respectively. Antibiotics were stopped and she was discharged home.

Her prompt improvement suggests either a self‐limited condition or a response to the antibiotics. The rapid but incomplete resolution of her hepatitis is in keeping with a withdrawal of a toxin, relief of biliary obstruction, or a transient vascular event, and is less consistent with a viral hepatitis or an infiltrative process. With normal biliary system imaging, sterile blood cultures, and the absence of fever or leukocytosis, cholangitis is unlikely. Likewise, there is no suggestion of a vascular event, either obstructive or hemodynamic, that is impairing the liver.

A common cause of eosinophilia in hospitalized patients is medications, so it would be useful to monitor that count after the new antibiotics. At this point, I also wonder if the eosinophils are a feature of the underlying illness, as they were present to a modest degree on admission before any new medications were administered. The overlap of eosinophilia and hepatitis brings to mind a medication reaction (eg, to sulindac) or a hepatobiliary parasite, such as ascaris or clonorchis, for which she lacks a known exposure. Many patients experience flushing in the setting of fever or stress, but sustained flushing may suggest a systemic illness characterized by the release of vasoactive mediators such as carcinoid syndrome or mastocytosis. The latter might be considered more strongly if the eosinophilia is deemed to be primary (rather than reactive) after a thorough evaluation.

After 2 days at home, the patient had recurrence of subjective fevers, with chest, back, and abdominal pain, fatigue, loose stools, and rigors. She returned to the ED, where she was noted to have facial erythema and injected sclerae, but the remainder of her physical exam was normal. The total serum bilirubin was 1.1 mg/dL, AST was 156 U/L, ALT was 214 U/L, and alkaline phosphatase was 240 U/L. Serum lipase was normal. WBC count was 14,000/L, with 94% neutrophils, 3% lymphocytes, 2% monocytes, and 1% eosinophils. She was again treated empirically with ciprofloxacin and metronidazole. Endoscopic ultrasound was normal, with no evidence of gallbladder sludge or microlithiasis. Stool cultures, assay for Clostridium difficile, and examination for ova and parasites were negative. The 24‐hour urine demonstrated no elevation in 5‐hydroxyindoleacetic acid. An adrenocorticotropic hormone (ACTH) stimulation test was normal. HIV antibody was negative. Her symptoms improved within 2 days. The eosinophil count rose and peaked at 1541/L by the third hospital day, while the transaminase elevations resolved. Antibiotics were discontinued. A liver biopsy showed mixed macrovesicular and microvesicular fatty metamorphosis and steatohepatitis with eosinophils (Figures 1 and 2). She was discharged home on the sixth hospital day.

Figure 1
Liver biopsy showing macrovesicular steatosis, as illustrated by arrow. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]
Figure 2
Liver biopsy showing low‐grade hepatitis, portal tract, and prominent eosinophilia. Arrows depict bile duct and eosinophil. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Her illness can now be characterized as relapsing inflammation, which given the frequency (over days) suggests either an indolent infectious focus that periodically causes systemic inflammation or reexposure to a toxic substance. The 2 most notable laboratory abnormalities, the hepatitis and the eosinophilia, persist but have differing trajectories. While the liver function tests have progressively normalized despite clinical relapses, the eosinophils have had a more fluctuating course characterized by increases during the hospitalization and higher levels during the second hospitalization. The absence of an infection, recurrent systemic inflammation, and eosinophilic hepatitis suggest a hypersensitivity reaction to a medication or other substance. She is most likely being reexposed at home, where her symptoms occur, and not in the hospital, where her symptoms resolve. Sulindac is a leading candidate, because nonsteroidal antiinflammatory drugs (NSAIDs) cause a number of hypersensitivity reactions and are frequently stopped when sick patients enter the hospital.

Seven days after discharge she developed acute onset of subjective fever, nausea, diffuse myalgias, and flushing, identical to the 2 prior episodes, and she again returned to the ED. Her temperature was 39.1C, heart rate was 120 beats per minute, blood pressure was 87/50 mm Hg, respiratory rate was 18 breaths per minute, and the oxygen saturation was 96% while breathing room air. She had diffuse flushing from her neck over her torso and was diaphoretic with injected sclera and conjunctiva. The WBC count was 11,400/L with 97% neutrophils and 3% lymphocytes. Total bilirubin was 0.8 mg/dL, AST was 134 U/L, ALT was 140 U/L, and alkaline phosphatase was 144 U/L. She was readmitted to the hospital. Following admission, she had no fevers, the flushing resolved, and AST and ALT levels decreased. The only treatment the patient received in the ED and during her hospital stay was acetaminophen as needed for pain or fever. The eosinophil count peaked at 1404/L by hospital day 4. Blood and urine cultures were negative. IgM antibodies to Epstein‐Barr virus were not detected, CMV DNA was not detected, and a rapid plasma reagin (RPR) test was nonreactive. Ferritin, ceruloplasmin, alpha‐1‐antitrypsin, and tryptase levels were normal. Antimitochondrial, antismooth muscle, antineutrophil cytoplasmic, and antinuclear antibodies were negative. There was no monoclonal band on serum protein electrophoresis. A blood smear for Borrelia detected no spirochetes.

A complete picture of the uncommon but classic flushing disorders, namely carcinoid, mastocytosis, and pheochromocytoma, has not emerged. The constellation of inflammation, mucosal and hepatic involvement, and eosinophilia are most consistent with a drug hypersensitivity reaction. Additionally, the recurrent inflammation is becoming more severe, as manifest by the fever and hemodynamic derangements, which suggests an increasing sensitization to the offending agent. I would review every drug she has received in the hospital, but given the recurrences after discharge her home medications are the most likely explanation. Of these, sulindac is the most likely culprit.

On further questioning, it was learned that the patient began taking sulindac 200 mg twice daily to treat her chronic ankle pain 6 weeks before the first admission. The medication had been stopped on each admission. She was instructed to discontinue sulindac. She has had no recurrences of symptoms and her hepatitis and eosinophilia have resolved.

DISCUSSION

This patient presented with recurrent skin findings, eosinophilia, hepatitis, and constitutional symptoms caused by hypersensitivity to sulindac. This drug‐induced hypersensitivity syndrome was originally described with anticonvulsant drugs (carbamazepine, phenytoin, and phenobarbitone) and named anticonvulsant hypersensitivity syndrome,1, 2 but has been observed with many other medications, including allopurinol, dapsone, minocycline, and nevirapine. The term drug rash with eosinophilia and systemic symptoms (DRESS) syndrome has been recently adopted to convey the cardinal features that characterize this disorder.3

DRESS syndrome is defined by rash, fever, and internal organ involvement.4 Also included in the diagnostic criteria are hematologic abnormalities (eosinophilia 1.5 109/mm3 or the presence of atypical lymphocytes) and lymphadenopathy.3 The multiorgan involvement distinguishes DRESS from other cutaneous drug eruptions. In a review of the French Pharmacovigilance Database for all cases of DRESS over a 15‐year period, 73% to 100% of patients were reported to have dermatologic abnormalities, most frequently a maculopapular rash or erythroderma. Less common skin findings include vesicles, bullae, pustules, erythroderma, and purpuric lesions. Liver abnormalities were observed in more than 60% of patients and were the most frequent systemic finding.5 Eosinophilia was the most common hematologic abnormality, present in more than 50% of cases. As this case underscores, DRESS syndrome typically begins 3 to 8 weeks after initiation of the drug because it is a delayed type IV hypersensitivity reaction.6 Fever can occur within hours on rechallenge because of the presence of memory T cells.

The main treatment for DRESS syndrome is withdrawal of the offending drug. Systemic corticosteroids have been recommended in cases with life‐threatening pulmonary or cardiac involvement, but have not been shown to be helpful in reversing renal or hepatic disease. Mortality, usually from end‐organ damage, occurs in about 10% of cases. The most common drugs are phenobarbital, carbamazepine, and phenytoin, with incidences of 1 in 5000 to 1 in 10,000. NSAIDs and antibiotics also have been implicated frequently. Human herpesvirus type 6 coinfection and genetically inherited slow acetylation have been associated with DRESS, although causal links have yet to be established.7, 8

The initial challenge in caring for a patient with multiple symptoms, exam findings, and test abnormalities is the coherent framing of the key clinical features that require explanation. This process, called problem representation, allows clinicians to search among a bounded list of possible diagnoses (or solutions) rather than invoking a differential diagnosis for every single abnormality. In searching for the proper diagnosis, this patient's clinical course required frequent reframing as more data became available.

Initially, the problem was framed as a 42‐year‐old woman with hepatitis. As the flushing and eosinophilia, which initially appeared to be transient and possibly nonspecific, became more prominent, the problem representation was revised to a 42‐year‐old woman with hepatitis, eosinophilia, and flushing. Since this triad did not immediately invoke a single diagnosis for the treating clinicians or the discussant, the differential diagnosis of hepatitis and eosinophilia and the differential diagnosis of flushing were considered in parallel.

Hepatitis and eosinophilia can occur coincidentally in the setting of parasitic infections, particularly helminths (ascaris, strongyloidiasis, and toxocaris) and liver flukes (opisthorchis and clonorchis), which invade the hepatobiliary system and induce a reactive eosinophilia. Some neoplasms, such as lymphomas and leukemias, and myeloproliferative disorders, including hypereosinophilic syndrome and mastocytosis, may have neoplastic cellular invasion of the liver and induce eosinophilia. Systemic drug hypersensitivity reactions are typically characterized by eosinophilia, transaminase elevations,9 and hepatitis on histology.10 As with this patient, liver biopsy in drug‐induced hepatitis shows a mixed microvesicular and macrovesicular steatosis, often with eosinophils.10

The flushing prompted a thorough but negative workup for the classic flushing disorders. The discussant's attempts to unify the flushing with the other clinical features illustrate how framing can affect our reasoning. Hepatitis, eosinophilia, and flushing defied an obvious single explanation and led the discussant down parallel diagnostic reasoning pathways. Although flushing is 1 of the well‐described dermatologic manifestations in drug‐hypersensitivity reactions, framing the central features as hepatitis, eosinophilia, and rash would have more readily suggested a drug reaction as a unifying diagnosis.11

The tempo and periodicity of this patient's illness provided the final formulation of a 42‐year‐old woman with hepatitis, eosinophilia, and flushing (or rash) that occurs every few days at home and resolves in the hospital. This formulation and the increasingly severe presentation, suggesting sensitization, were highly suggestive of an exogenous cause of her illness.

This case highlights how easily medication side effects can be overlooked during an extensive evaluation and how vigilant medication reconciliation coupled with an increased understanding of the spectrum of drug reactions can lead to early detection and prevention of potentially serious effects. In the case of DRESS, recognizing an association between a rash and organ involvement is central to making the diagnosis. Eosinophilia that accompanies a rash can further aid in narrowing the differential diagnosis.

The case also serves as a reminder of how framing with the slightest imprecision (eg, flushing instead of rash) can derail or delay the diagnostic process, yet is indispensable in tackling a complicated case. Finally, a time‐honored lesson in diagnosis is highlighted yet again: the diagnosis can usually be flushed out from the history.1214

Key Teaching Points

  • The constellation of skin findings, eosinophilia, organ involvement (particularly hepatitis), and constitutional symptoms should prompt consideration of DRESS syndrome and a hunt for a culprit drug.

  • Symptoms that resolve during hospitalization and repeatedly recur after discharge should prompt consideration of an exposure unique to the home, which may be environmental or pharmacologic.

  • Problem representation is critical in solving a complicated case, but adopting an inaccurate frame (representation) can derail or delay the diagnostic process.

The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient's case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.

References
  1. Shear NH,Spielberg SP.Anticonvulsant hypersensitivity syndrome. In vitro assessment of risk.J Clin Invest.1988;82:18261832.
  2. Knowles SR,Shapiro LE,Shear NH.Anticonvulsant hypersensitivity syndrome: incidence, prevention, and management.Drug Saf.1999;21:489501.
  3. Wolf R,Matz H,Marcos B,Orion E.Drug rash with eosinophilia and systemic symptoms vs toxic epidermal necrolysis: the dilemma of classification.Clin Dermatol.2005;23:311314.
  4. Tas S,Simonart T.Management of drug rash with eosinophilia and systemic symptoms (DRESS syndrome): an update.Dermatology.2003;206:353356.
  5. Peyriere H,Dereure O,Breton H,Demoly P,Cociglio M,Blayac J‐P; Network of the French Pharmacovigilance Centers. Variability in the clinical pattern of cutaneous side‐effects of drugs with systemic symptoms: does a DRESS syndrome really exist?Br J Dermatol.2006;155:422428.
  6. Lerch M,Pichler WJ.The immunological and clinical spectrum of delayed drug‐induced exanthems.Curr Opin Allergy Clin Immunol.2004;4:411419.
  7. Kano Y,Inaoka M,Shiohara T.Association between anticonvulsant hypersensitivity syndrome and human herpesvirus 6 reactivation and hypogammaglobulinemia.Arch Dermatol.2004;140:183188.
  8. Ghislain PD,Roujeau JC.Treatment of severe drug reactions: Stevens‐Johnson Syndrome, toxic epidermal necrolysis and hypersensitivity syndrome.Dermatol Online J.2002;8:5.
  9. Revuz J,Valeyrie‐Allanore L.Drug reactions. In: Bolognia JL, Jorizzo JL, Rapini RP, eds.Dermatology.2nd ed.Spain:Mosby Elsevier;2008:310311.
  10. Pathology Outlines. Liver and intrahepatic bile ducts—non tumor. Hepatitis (non‐infectious). Drug/toxin‐induced hepatitis. Available at: http://www.pathologyoutlines.com/liver.html#drugtoxin. Accessed August2009.
  11. Izikson L,English JC,Zirwas MJ.The flushing patient: differential diagnosis, workup and treatment.J Am Acad Dermatol.2006;55(2):193208.
  12. Hampton JR,Harrison MJ,Mitchell JR,Prichard JS,Seymour C.Relative contributions of history‐taking, physical examination, and laboratory investigation to diagnosis and management of medical outpatients.Br Med J.1975;2(5969):486489.
  13. Peterson MC,Holbrook JH,Von Hales D,Smith NL,Staker LV.Contributions to the history, physical examination, and laboratory investigation in making medical diagnosis.West J Med.1992;156(2):163165.
  14. Roshan M,Rao AP.A study on relative contributions of the history, physical examination and investigations in making medical diagnosis.J Assoc Physicians India.2000;48(8):771775.
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A 42‐year‐old woman with a history of mild asthma presented to the emergency department (ED) following 1 week of headache. She had been in her usual state of good health until 1 week prior to her presentation, when she noticed intermittent frontal headaches without neck stiffness or other neurologic symptoms. She then developed diffuse myalgias, fatigue, subjective fevers, and rigors for the 24 hours prior to presentation. On the morning of presentation, chest tightness, palpitations, and shortness of breath occurred. She used her albuterol metered‐dose inhaler without relief and went to the hospital.

Many of these features can be explained by a viral syndrome exacerbating underlying asthma or by a psychiatric condition such as anxiety or depression, but they may also be a harbinger of a systemic process, including infection, malignancy, or autoimmunity. Because the onset of headache is temporally distant from the other symptoms, I am more inclined to believe that it represents a primary intracranial process than I would if it were coincident with the onset of the other acute symptoms. If the fevers and rigors are verified, infection would be the initial concern. Failure to respond to her inhalers may either signify a severe asthma exacerbation or a nonbronchospastic cause of dyspnea.

She reported mild nausea, but denied photophobia, vomiting, abdominal pain, diarrhea, melena, or hematochezia. She did not have recent ill contacts, animal bites, or travel. Her medical history included asthma, diverticulitis, chronic right ankle pain, and obesity. She reported an allergic rash to amoxicillin. Her medications were sulindac and fluticasone/salmeterol, and albuterol metered‐dose inhalers. She worked as a preschool teacher and was married with 2 children. She denied any tobacco use and seldom drank alcoholic beverages. On exam, temperature was 36.7C, pulse was 107 beats per minute, blood pressure was 129/91 mm Hg, respiratory rate was 19 breaths per minute, and oxygen saturation was 98% while breathing ambient air. Her face and anterior neck were flushed and diaphoretic, and her sclerae were icteric. There was no nuchal rigidity. Her cardiac rhythm was regular without murmurs, lungs were clear to auscultation, and the abdomen was mildly tender to palpation in the epigastrium and right upper quadrant. The white blood cell (WBC) count was 9200/L, with 84% neutrophils, 3% lymphocytes, 6% monocytes, and 7% eosinophils. The hemoglobin was 14.8 g/dL and the platelet count was 166,000/L. Total serum bilirubin was 4.6 mg/dL, aspartate aminotransferase (AST) was 459 U/L (normal range, 8‐31), alanine aminotransferase (ALT) was 667 U/L (normal range, 7‐31), and alkaline phosphatase was 146 U/L (normal range, 39‐117). Serum electrolytes, creatinine, lactate, lipase, thyrotropin, coagulation studies, and cardiac enzymes were all normal. Urinalysis showed trace leukocyte esterase and bilirubin, as well as 3 WBCs and 2 red cells per high‐power field. Chest radiography and an electrocardiogram demonstrated no abnormalities.

The major findingwhich is critical to focusing problem‐solving in the face of a broad range of symptomsis her hepatitis. The common etiologies for hepatitis of this degree include viruses (hepatitis A and cytomegalovirus [CMV] should be considered given her work in preschool), toxins, autoimmunity, and vascular events. Liver disease in association with flushing raises the possibility of carcinoid syndrome with liver metastases. The lack of wheezing makes the bronchospasm of asthma or carcinoid less suitable explanations for her shortness of breath. Her eosinophilia is mild but probably is not accounted for alone by well‐controlled asthma in a person with no history of atopic disease. I would also ask her about any alternative and over‐the‐counter remedies. The paucity of lymphocytes raises the possibility of human immunodeficiency virus (HIV), Hodgkin's disease, or systemic lupus erythematosus. Although she does not have a documented fever or leukocytosis, she reported fevers and chills and is diaphoretic and tachycardic, so exclusion of biliary obstruction and cholangitis is the highest priority.

An abdominal ultrasound demonstrated hepatomegaly with moderate fatty infiltration and a normal gallbladder without pericholecystic fluid. The intrahepatic and extrahepatic biliary ducts were normal and the hepatic and portal veins were patent. Computed tomography of the abdomen showed slight thickening of the sigmoid colon wall. Ciprofloxacin and metronidazole were administered for possible diverticulitis. Over the first 48 hours of hospitalization her symptoms improved markedly. Her flushing resolved and she had no recorded fevers in the hospital. Serologies were negative for hepatitis A immunoglobulin M (IgM), hepatitis B surface antibody, hepatitis B surface antigen, and hepatitis C antibody. A monospot test was negative and the erythrocyte sedimentation rate was 11 mm/hour. Blood and urine cultures were negative. On the second hospital day the absolute eosinophil count rose to 855/L (15% of 5700 WBCs). On the fourth hospital day, the absolute eosinophil count was 1092/L, the total bilirubin was 1.9 mg/dL, and the AST and ALT were 174 U/L and 476 U/L, respectively. Antibiotics were stopped and she was discharged home.

Her prompt improvement suggests either a self‐limited condition or a response to the antibiotics. The rapid but incomplete resolution of her hepatitis is in keeping with a withdrawal of a toxin, relief of biliary obstruction, or a transient vascular event, and is less consistent with a viral hepatitis or an infiltrative process. With normal biliary system imaging, sterile blood cultures, and the absence of fever or leukocytosis, cholangitis is unlikely. Likewise, there is no suggestion of a vascular event, either obstructive or hemodynamic, that is impairing the liver.

A common cause of eosinophilia in hospitalized patients is medications, so it would be useful to monitor that count after the new antibiotics. At this point, I also wonder if the eosinophils are a feature of the underlying illness, as they were present to a modest degree on admission before any new medications were administered. The overlap of eosinophilia and hepatitis brings to mind a medication reaction (eg, to sulindac) or a hepatobiliary parasite, such as ascaris or clonorchis, for which she lacks a known exposure. Many patients experience flushing in the setting of fever or stress, but sustained flushing may suggest a systemic illness characterized by the release of vasoactive mediators such as carcinoid syndrome or mastocytosis. The latter might be considered more strongly if the eosinophilia is deemed to be primary (rather than reactive) after a thorough evaluation.

After 2 days at home, the patient had recurrence of subjective fevers, with chest, back, and abdominal pain, fatigue, loose stools, and rigors. She returned to the ED, where she was noted to have facial erythema and injected sclerae, but the remainder of her physical exam was normal. The total serum bilirubin was 1.1 mg/dL, AST was 156 U/L, ALT was 214 U/L, and alkaline phosphatase was 240 U/L. Serum lipase was normal. WBC count was 14,000/L, with 94% neutrophils, 3% lymphocytes, 2% monocytes, and 1% eosinophils. She was again treated empirically with ciprofloxacin and metronidazole. Endoscopic ultrasound was normal, with no evidence of gallbladder sludge or microlithiasis. Stool cultures, assay for Clostridium difficile, and examination for ova and parasites were negative. The 24‐hour urine demonstrated no elevation in 5‐hydroxyindoleacetic acid. An adrenocorticotropic hormone (ACTH) stimulation test was normal. HIV antibody was negative. Her symptoms improved within 2 days. The eosinophil count rose and peaked at 1541/L by the third hospital day, while the transaminase elevations resolved. Antibiotics were discontinued. A liver biopsy showed mixed macrovesicular and microvesicular fatty metamorphosis and steatohepatitis with eosinophils (Figures 1 and 2). She was discharged home on the sixth hospital day.

Figure 1
Liver biopsy showing macrovesicular steatosis, as illustrated by arrow. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]
Figure 2
Liver biopsy showing low‐grade hepatitis, portal tract, and prominent eosinophilia. Arrows depict bile duct and eosinophil. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Her illness can now be characterized as relapsing inflammation, which given the frequency (over days) suggests either an indolent infectious focus that periodically causes systemic inflammation or reexposure to a toxic substance. The 2 most notable laboratory abnormalities, the hepatitis and the eosinophilia, persist but have differing trajectories. While the liver function tests have progressively normalized despite clinical relapses, the eosinophils have had a more fluctuating course characterized by increases during the hospitalization and higher levels during the second hospitalization. The absence of an infection, recurrent systemic inflammation, and eosinophilic hepatitis suggest a hypersensitivity reaction to a medication or other substance. She is most likely being reexposed at home, where her symptoms occur, and not in the hospital, where her symptoms resolve. Sulindac is a leading candidate, because nonsteroidal antiinflammatory drugs (NSAIDs) cause a number of hypersensitivity reactions and are frequently stopped when sick patients enter the hospital.

Seven days after discharge she developed acute onset of subjective fever, nausea, diffuse myalgias, and flushing, identical to the 2 prior episodes, and she again returned to the ED. Her temperature was 39.1C, heart rate was 120 beats per minute, blood pressure was 87/50 mm Hg, respiratory rate was 18 breaths per minute, and the oxygen saturation was 96% while breathing room air. She had diffuse flushing from her neck over her torso and was diaphoretic with injected sclera and conjunctiva. The WBC count was 11,400/L with 97% neutrophils and 3% lymphocytes. Total bilirubin was 0.8 mg/dL, AST was 134 U/L, ALT was 140 U/L, and alkaline phosphatase was 144 U/L. She was readmitted to the hospital. Following admission, she had no fevers, the flushing resolved, and AST and ALT levels decreased. The only treatment the patient received in the ED and during her hospital stay was acetaminophen as needed for pain or fever. The eosinophil count peaked at 1404/L by hospital day 4. Blood and urine cultures were negative. IgM antibodies to Epstein‐Barr virus were not detected, CMV DNA was not detected, and a rapid plasma reagin (RPR) test was nonreactive. Ferritin, ceruloplasmin, alpha‐1‐antitrypsin, and tryptase levels were normal. Antimitochondrial, antismooth muscle, antineutrophil cytoplasmic, and antinuclear antibodies were negative. There was no monoclonal band on serum protein electrophoresis. A blood smear for Borrelia detected no spirochetes.

A complete picture of the uncommon but classic flushing disorders, namely carcinoid, mastocytosis, and pheochromocytoma, has not emerged. The constellation of inflammation, mucosal and hepatic involvement, and eosinophilia are most consistent with a drug hypersensitivity reaction. Additionally, the recurrent inflammation is becoming more severe, as manifest by the fever and hemodynamic derangements, which suggests an increasing sensitization to the offending agent. I would review every drug she has received in the hospital, but given the recurrences after discharge her home medications are the most likely explanation. Of these, sulindac is the most likely culprit.

On further questioning, it was learned that the patient began taking sulindac 200 mg twice daily to treat her chronic ankle pain 6 weeks before the first admission. The medication had been stopped on each admission. She was instructed to discontinue sulindac. She has had no recurrences of symptoms and her hepatitis and eosinophilia have resolved.

DISCUSSION

This patient presented with recurrent skin findings, eosinophilia, hepatitis, and constitutional symptoms caused by hypersensitivity to sulindac. This drug‐induced hypersensitivity syndrome was originally described with anticonvulsant drugs (carbamazepine, phenytoin, and phenobarbitone) and named anticonvulsant hypersensitivity syndrome,1, 2 but has been observed with many other medications, including allopurinol, dapsone, minocycline, and nevirapine. The term drug rash with eosinophilia and systemic symptoms (DRESS) syndrome has been recently adopted to convey the cardinal features that characterize this disorder.3

DRESS syndrome is defined by rash, fever, and internal organ involvement.4 Also included in the diagnostic criteria are hematologic abnormalities (eosinophilia 1.5 109/mm3 or the presence of atypical lymphocytes) and lymphadenopathy.3 The multiorgan involvement distinguishes DRESS from other cutaneous drug eruptions. In a review of the French Pharmacovigilance Database for all cases of DRESS over a 15‐year period, 73% to 100% of patients were reported to have dermatologic abnormalities, most frequently a maculopapular rash or erythroderma. Less common skin findings include vesicles, bullae, pustules, erythroderma, and purpuric lesions. Liver abnormalities were observed in more than 60% of patients and were the most frequent systemic finding.5 Eosinophilia was the most common hematologic abnormality, present in more than 50% of cases. As this case underscores, DRESS syndrome typically begins 3 to 8 weeks after initiation of the drug because it is a delayed type IV hypersensitivity reaction.6 Fever can occur within hours on rechallenge because of the presence of memory T cells.

The main treatment for DRESS syndrome is withdrawal of the offending drug. Systemic corticosteroids have been recommended in cases with life‐threatening pulmonary or cardiac involvement, but have not been shown to be helpful in reversing renal or hepatic disease. Mortality, usually from end‐organ damage, occurs in about 10% of cases. The most common drugs are phenobarbital, carbamazepine, and phenytoin, with incidences of 1 in 5000 to 1 in 10,000. NSAIDs and antibiotics also have been implicated frequently. Human herpesvirus type 6 coinfection and genetically inherited slow acetylation have been associated with DRESS, although causal links have yet to be established.7, 8

The initial challenge in caring for a patient with multiple symptoms, exam findings, and test abnormalities is the coherent framing of the key clinical features that require explanation. This process, called problem representation, allows clinicians to search among a bounded list of possible diagnoses (or solutions) rather than invoking a differential diagnosis for every single abnormality. In searching for the proper diagnosis, this patient's clinical course required frequent reframing as more data became available.

Initially, the problem was framed as a 42‐year‐old woman with hepatitis. As the flushing and eosinophilia, which initially appeared to be transient and possibly nonspecific, became more prominent, the problem representation was revised to a 42‐year‐old woman with hepatitis, eosinophilia, and flushing. Since this triad did not immediately invoke a single diagnosis for the treating clinicians or the discussant, the differential diagnosis of hepatitis and eosinophilia and the differential diagnosis of flushing were considered in parallel.

Hepatitis and eosinophilia can occur coincidentally in the setting of parasitic infections, particularly helminths (ascaris, strongyloidiasis, and toxocaris) and liver flukes (opisthorchis and clonorchis), which invade the hepatobiliary system and induce a reactive eosinophilia. Some neoplasms, such as lymphomas and leukemias, and myeloproliferative disorders, including hypereosinophilic syndrome and mastocytosis, may have neoplastic cellular invasion of the liver and induce eosinophilia. Systemic drug hypersensitivity reactions are typically characterized by eosinophilia, transaminase elevations,9 and hepatitis on histology.10 As with this patient, liver biopsy in drug‐induced hepatitis shows a mixed microvesicular and macrovesicular steatosis, often with eosinophils.10

The flushing prompted a thorough but negative workup for the classic flushing disorders. The discussant's attempts to unify the flushing with the other clinical features illustrate how framing can affect our reasoning. Hepatitis, eosinophilia, and flushing defied an obvious single explanation and led the discussant down parallel diagnostic reasoning pathways. Although flushing is 1 of the well‐described dermatologic manifestations in drug‐hypersensitivity reactions, framing the central features as hepatitis, eosinophilia, and rash would have more readily suggested a drug reaction as a unifying diagnosis.11

The tempo and periodicity of this patient's illness provided the final formulation of a 42‐year‐old woman with hepatitis, eosinophilia, and flushing (or rash) that occurs every few days at home and resolves in the hospital. This formulation and the increasingly severe presentation, suggesting sensitization, were highly suggestive of an exogenous cause of her illness.

This case highlights how easily medication side effects can be overlooked during an extensive evaluation and how vigilant medication reconciliation coupled with an increased understanding of the spectrum of drug reactions can lead to early detection and prevention of potentially serious effects. In the case of DRESS, recognizing an association between a rash and organ involvement is central to making the diagnosis. Eosinophilia that accompanies a rash can further aid in narrowing the differential diagnosis.

The case also serves as a reminder of how framing with the slightest imprecision (eg, flushing instead of rash) can derail or delay the diagnostic process, yet is indispensable in tackling a complicated case. Finally, a time‐honored lesson in diagnosis is highlighted yet again: the diagnosis can usually be flushed out from the history.1214

Key Teaching Points

  • The constellation of skin findings, eosinophilia, organ involvement (particularly hepatitis), and constitutional symptoms should prompt consideration of DRESS syndrome and a hunt for a culprit drug.

  • Symptoms that resolve during hospitalization and repeatedly recur after discharge should prompt consideration of an exposure unique to the home, which may be environmental or pharmacologic.

  • Problem representation is critical in solving a complicated case, but adopting an inaccurate frame (representation) can derail or delay the diagnostic process.

The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient's case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.

A 42‐year‐old woman with a history of mild asthma presented to the emergency department (ED) following 1 week of headache. She had been in her usual state of good health until 1 week prior to her presentation, when she noticed intermittent frontal headaches without neck stiffness or other neurologic symptoms. She then developed diffuse myalgias, fatigue, subjective fevers, and rigors for the 24 hours prior to presentation. On the morning of presentation, chest tightness, palpitations, and shortness of breath occurred. She used her albuterol metered‐dose inhaler without relief and went to the hospital.

Many of these features can be explained by a viral syndrome exacerbating underlying asthma or by a psychiatric condition such as anxiety or depression, but they may also be a harbinger of a systemic process, including infection, malignancy, or autoimmunity. Because the onset of headache is temporally distant from the other symptoms, I am more inclined to believe that it represents a primary intracranial process than I would if it were coincident with the onset of the other acute symptoms. If the fevers and rigors are verified, infection would be the initial concern. Failure to respond to her inhalers may either signify a severe asthma exacerbation or a nonbronchospastic cause of dyspnea.

She reported mild nausea, but denied photophobia, vomiting, abdominal pain, diarrhea, melena, or hematochezia. She did not have recent ill contacts, animal bites, or travel. Her medical history included asthma, diverticulitis, chronic right ankle pain, and obesity. She reported an allergic rash to amoxicillin. Her medications were sulindac and fluticasone/salmeterol, and albuterol metered‐dose inhalers. She worked as a preschool teacher and was married with 2 children. She denied any tobacco use and seldom drank alcoholic beverages. On exam, temperature was 36.7C, pulse was 107 beats per minute, blood pressure was 129/91 mm Hg, respiratory rate was 19 breaths per minute, and oxygen saturation was 98% while breathing ambient air. Her face and anterior neck were flushed and diaphoretic, and her sclerae were icteric. There was no nuchal rigidity. Her cardiac rhythm was regular without murmurs, lungs were clear to auscultation, and the abdomen was mildly tender to palpation in the epigastrium and right upper quadrant. The white blood cell (WBC) count was 9200/L, with 84% neutrophils, 3% lymphocytes, 6% monocytes, and 7% eosinophils. The hemoglobin was 14.8 g/dL and the platelet count was 166,000/L. Total serum bilirubin was 4.6 mg/dL, aspartate aminotransferase (AST) was 459 U/L (normal range, 8‐31), alanine aminotransferase (ALT) was 667 U/L (normal range, 7‐31), and alkaline phosphatase was 146 U/L (normal range, 39‐117). Serum electrolytes, creatinine, lactate, lipase, thyrotropin, coagulation studies, and cardiac enzymes were all normal. Urinalysis showed trace leukocyte esterase and bilirubin, as well as 3 WBCs and 2 red cells per high‐power field. Chest radiography and an electrocardiogram demonstrated no abnormalities.

The major findingwhich is critical to focusing problem‐solving in the face of a broad range of symptomsis her hepatitis. The common etiologies for hepatitis of this degree include viruses (hepatitis A and cytomegalovirus [CMV] should be considered given her work in preschool), toxins, autoimmunity, and vascular events. Liver disease in association with flushing raises the possibility of carcinoid syndrome with liver metastases. The lack of wheezing makes the bronchospasm of asthma or carcinoid less suitable explanations for her shortness of breath. Her eosinophilia is mild but probably is not accounted for alone by well‐controlled asthma in a person with no history of atopic disease. I would also ask her about any alternative and over‐the‐counter remedies. The paucity of lymphocytes raises the possibility of human immunodeficiency virus (HIV), Hodgkin's disease, or systemic lupus erythematosus. Although she does not have a documented fever or leukocytosis, she reported fevers and chills and is diaphoretic and tachycardic, so exclusion of biliary obstruction and cholangitis is the highest priority.

An abdominal ultrasound demonstrated hepatomegaly with moderate fatty infiltration and a normal gallbladder without pericholecystic fluid. The intrahepatic and extrahepatic biliary ducts were normal and the hepatic and portal veins were patent. Computed tomography of the abdomen showed slight thickening of the sigmoid colon wall. Ciprofloxacin and metronidazole were administered for possible diverticulitis. Over the first 48 hours of hospitalization her symptoms improved markedly. Her flushing resolved and she had no recorded fevers in the hospital. Serologies were negative for hepatitis A immunoglobulin M (IgM), hepatitis B surface antibody, hepatitis B surface antigen, and hepatitis C antibody. A monospot test was negative and the erythrocyte sedimentation rate was 11 mm/hour. Blood and urine cultures were negative. On the second hospital day the absolute eosinophil count rose to 855/L (15% of 5700 WBCs). On the fourth hospital day, the absolute eosinophil count was 1092/L, the total bilirubin was 1.9 mg/dL, and the AST and ALT were 174 U/L and 476 U/L, respectively. Antibiotics were stopped and she was discharged home.

Her prompt improvement suggests either a self‐limited condition or a response to the antibiotics. The rapid but incomplete resolution of her hepatitis is in keeping with a withdrawal of a toxin, relief of biliary obstruction, or a transient vascular event, and is less consistent with a viral hepatitis or an infiltrative process. With normal biliary system imaging, sterile blood cultures, and the absence of fever or leukocytosis, cholangitis is unlikely. Likewise, there is no suggestion of a vascular event, either obstructive or hemodynamic, that is impairing the liver.

A common cause of eosinophilia in hospitalized patients is medications, so it would be useful to monitor that count after the new antibiotics. At this point, I also wonder if the eosinophils are a feature of the underlying illness, as they were present to a modest degree on admission before any new medications were administered. The overlap of eosinophilia and hepatitis brings to mind a medication reaction (eg, to sulindac) or a hepatobiliary parasite, such as ascaris or clonorchis, for which she lacks a known exposure. Many patients experience flushing in the setting of fever or stress, but sustained flushing may suggest a systemic illness characterized by the release of vasoactive mediators such as carcinoid syndrome or mastocytosis. The latter might be considered more strongly if the eosinophilia is deemed to be primary (rather than reactive) after a thorough evaluation.

After 2 days at home, the patient had recurrence of subjective fevers, with chest, back, and abdominal pain, fatigue, loose stools, and rigors. She returned to the ED, where she was noted to have facial erythema and injected sclerae, but the remainder of her physical exam was normal. The total serum bilirubin was 1.1 mg/dL, AST was 156 U/L, ALT was 214 U/L, and alkaline phosphatase was 240 U/L. Serum lipase was normal. WBC count was 14,000/L, with 94% neutrophils, 3% lymphocytes, 2% monocytes, and 1% eosinophils. She was again treated empirically with ciprofloxacin and metronidazole. Endoscopic ultrasound was normal, with no evidence of gallbladder sludge or microlithiasis. Stool cultures, assay for Clostridium difficile, and examination for ova and parasites were negative. The 24‐hour urine demonstrated no elevation in 5‐hydroxyindoleacetic acid. An adrenocorticotropic hormone (ACTH) stimulation test was normal. HIV antibody was negative. Her symptoms improved within 2 days. The eosinophil count rose and peaked at 1541/L by the third hospital day, while the transaminase elevations resolved. Antibiotics were discontinued. A liver biopsy showed mixed macrovesicular and microvesicular fatty metamorphosis and steatohepatitis with eosinophils (Figures 1 and 2). She was discharged home on the sixth hospital day.

Figure 1
Liver biopsy showing macrovesicular steatosis, as illustrated by arrow. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]
Figure 2
Liver biopsy showing low‐grade hepatitis, portal tract, and prominent eosinophilia. Arrows depict bile duct and eosinophil. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Her illness can now be characterized as relapsing inflammation, which given the frequency (over days) suggests either an indolent infectious focus that periodically causes systemic inflammation or reexposure to a toxic substance. The 2 most notable laboratory abnormalities, the hepatitis and the eosinophilia, persist but have differing trajectories. While the liver function tests have progressively normalized despite clinical relapses, the eosinophils have had a more fluctuating course characterized by increases during the hospitalization and higher levels during the second hospitalization. The absence of an infection, recurrent systemic inflammation, and eosinophilic hepatitis suggest a hypersensitivity reaction to a medication or other substance. She is most likely being reexposed at home, where her symptoms occur, and not in the hospital, where her symptoms resolve. Sulindac is a leading candidate, because nonsteroidal antiinflammatory drugs (NSAIDs) cause a number of hypersensitivity reactions and are frequently stopped when sick patients enter the hospital.

Seven days after discharge she developed acute onset of subjective fever, nausea, diffuse myalgias, and flushing, identical to the 2 prior episodes, and she again returned to the ED. Her temperature was 39.1C, heart rate was 120 beats per minute, blood pressure was 87/50 mm Hg, respiratory rate was 18 breaths per minute, and the oxygen saturation was 96% while breathing room air. She had diffuse flushing from her neck over her torso and was diaphoretic with injected sclera and conjunctiva. The WBC count was 11,400/L with 97% neutrophils and 3% lymphocytes. Total bilirubin was 0.8 mg/dL, AST was 134 U/L, ALT was 140 U/L, and alkaline phosphatase was 144 U/L. She was readmitted to the hospital. Following admission, she had no fevers, the flushing resolved, and AST and ALT levels decreased. The only treatment the patient received in the ED and during her hospital stay was acetaminophen as needed for pain or fever. The eosinophil count peaked at 1404/L by hospital day 4. Blood and urine cultures were negative. IgM antibodies to Epstein‐Barr virus were not detected, CMV DNA was not detected, and a rapid plasma reagin (RPR) test was nonreactive. Ferritin, ceruloplasmin, alpha‐1‐antitrypsin, and tryptase levels were normal. Antimitochondrial, antismooth muscle, antineutrophil cytoplasmic, and antinuclear antibodies were negative. There was no monoclonal band on serum protein electrophoresis. A blood smear for Borrelia detected no spirochetes.

A complete picture of the uncommon but classic flushing disorders, namely carcinoid, mastocytosis, and pheochromocytoma, has not emerged. The constellation of inflammation, mucosal and hepatic involvement, and eosinophilia are most consistent with a drug hypersensitivity reaction. Additionally, the recurrent inflammation is becoming more severe, as manifest by the fever and hemodynamic derangements, which suggests an increasing sensitization to the offending agent. I would review every drug she has received in the hospital, but given the recurrences after discharge her home medications are the most likely explanation. Of these, sulindac is the most likely culprit.

On further questioning, it was learned that the patient began taking sulindac 200 mg twice daily to treat her chronic ankle pain 6 weeks before the first admission. The medication had been stopped on each admission. She was instructed to discontinue sulindac. She has had no recurrences of symptoms and her hepatitis and eosinophilia have resolved.

DISCUSSION

This patient presented with recurrent skin findings, eosinophilia, hepatitis, and constitutional symptoms caused by hypersensitivity to sulindac. This drug‐induced hypersensitivity syndrome was originally described with anticonvulsant drugs (carbamazepine, phenytoin, and phenobarbitone) and named anticonvulsant hypersensitivity syndrome,1, 2 but has been observed with many other medications, including allopurinol, dapsone, minocycline, and nevirapine. The term drug rash with eosinophilia and systemic symptoms (DRESS) syndrome has been recently adopted to convey the cardinal features that characterize this disorder.3

DRESS syndrome is defined by rash, fever, and internal organ involvement.4 Also included in the diagnostic criteria are hematologic abnormalities (eosinophilia 1.5 109/mm3 or the presence of atypical lymphocytes) and lymphadenopathy.3 The multiorgan involvement distinguishes DRESS from other cutaneous drug eruptions. In a review of the French Pharmacovigilance Database for all cases of DRESS over a 15‐year period, 73% to 100% of patients were reported to have dermatologic abnormalities, most frequently a maculopapular rash or erythroderma. Less common skin findings include vesicles, bullae, pustules, erythroderma, and purpuric lesions. Liver abnormalities were observed in more than 60% of patients and were the most frequent systemic finding.5 Eosinophilia was the most common hematologic abnormality, present in more than 50% of cases. As this case underscores, DRESS syndrome typically begins 3 to 8 weeks after initiation of the drug because it is a delayed type IV hypersensitivity reaction.6 Fever can occur within hours on rechallenge because of the presence of memory T cells.

The main treatment for DRESS syndrome is withdrawal of the offending drug. Systemic corticosteroids have been recommended in cases with life‐threatening pulmonary or cardiac involvement, but have not been shown to be helpful in reversing renal or hepatic disease. Mortality, usually from end‐organ damage, occurs in about 10% of cases. The most common drugs are phenobarbital, carbamazepine, and phenytoin, with incidences of 1 in 5000 to 1 in 10,000. NSAIDs and antibiotics also have been implicated frequently. Human herpesvirus type 6 coinfection and genetically inherited slow acetylation have been associated with DRESS, although causal links have yet to be established.7, 8

The initial challenge in caring for a patient with multiple symptoms, exam findings, and test abnormalities is the coherent framing of the key clinical features that require explanation. This process, called problem representation, allows clinicians to search among a bounded list of possible diagnoses (or solutions) rather than invoking a differential diagnosis for every single abnormality. In searching for the proper diagnosis, this patient's clinical course required frequent reframing as more data became available.

Initially, the problem was framed as a 42‐year‐old woman with hepatitis. As the flushing and eosinophilia, which initially appeared to be transient and possibly nonspecific, became more prominent, the problem representation was revised to a 42‐year‐old woman with hepatitis, eosinophilia, and flushing. Since this triad did not immediately invoke a single diagnosis for the treating clinicians or the discussant, the differential diagnosis of hepatitis and eosinophilia and the differential diagnosis of flushing were considered in parallel.

Hepatitis and eosinophilia can occur coincidentally in the setting of parasitic infections, particularly helminths (ascaris, strongyloidiasis, and toxocaris) and liver flukes (opisthorchis and clonorchis), which invade the hepatobiliary system and induce a reactive eosinophilia. Some neoplasms, such as lymphomas and leukemias, and myeloproliferative disorders, including hypereosinophilic syndrome and mastocytosis, may have neoplastic cellular invasion of the liver and induce eosinophilia. Systemic drug hypersensitivity reactions are typically characterized by eosinophilia, transaminase elevations,9 and hepatitis on histology.10 As with this patient, liver biopsy in drug‐induced hepatitis shows a mixed microvesicular and macrovesicular steatosis, often with eosinophils.10

The flushing prompted a thorough but negative workup for the classic flushing disorders. The discussant's attempts to unify the flushing with the other clinical features illustrate how framing can affect our reasoning. Hepatitis, eosinophilia, and flushing defied an obvious single explanation and led the discussant down parallel diagnostic reasoning pathways. Although flushing is 1 of the well‐described dermatologic manifestations in drug‐hypersensitivity reactions, framing the central features as hepatitis, eosinophilia, and rash would have more readily suggested a drug reaction as a unifying diagnosis.11

The tempo and periodicity of this patient's illness provided the final formulation of a 42‐year‐old woman with hepatitis, eosinophilia, and flushing (or rash) that occurs every few days at home and resolves in the hospital. This formulation and the increasingly severe presentation, suggesting sensitization, were highly suggestive of an exogenous cause of her illness.

This case highlights how easily medication side effects can be overlooked during an extensive evaluation and how vigilant medication reconciliation coupled with an increased understanding of the spectrum of drug reactions can lead to early detection and prevention of potentially serious effects. In the case of DRESS, recognizing an association between a rash and organ involvement is central to making the diagnosis. Eosinophilia that accompanies a rash can further aid in narrowing the differential diagnosis.

The case also serves as a reminder of how framing with the slightest imprecision (eg, flushing instead of rash) can derail or delay the diagnostic process, yet is indispensable in tackling a complicated case. Finally, a time‐honored lesson in diagnosis is highlighted yet again: the diagnosis can usually be flushed out from the history.1214

Key Teaching Points

  • The constellation of skin findings, eosinophilia, organ involvement (particularly hepatitis), and constitutional symptoms should prompt consideration of DRESS syndrome and a hunt for a culprit drug.

  • Symptoms that resolve during hospitalization and repeatedly recur after discharge should prompt consideration of an exposure unique to the home, which may be environmental or pharmacologic.

  • Problem representation is critical in solving a complicated case, but adopting an inaccurate frame (representation) can derail or delay the diagnostic process.

The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient's case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.

References
  1. Shear NH,Spielberg SP.Anticonvulsant hypersensitivity syndrome. In vitro assessment of risk.J Clin Invest.1988;82:18261832.
  2. Knowles SR,Shapiro LE,Shear NH.Anticonvulsant hypersensitivity syndrome: incidence, prevention, and management.Drug Saf.1999;21:489501.
  3. Wolf R,Matz H,Marcos B,Orion E.Drug rash with eosinophilia and systemic symptoms vs toxic epidermal necrolysis: the dilemma of classification.Clin Dermatol.2005;23:311314.
  4. Tas S,Simonart T.Management of drug rash with eosinophilia and systemic symptoms (DRESS syndrome): an update.Dermatology.2003;206:353356.
  5. Peyriere H,Dereure O,Breton H,Demoly P,Cociglio M,Blayac J‐P; Network of the French Pharmacovigilance Centers. Variability in the clinical pattern of cutaneous side‐effects of drugs with systemic symptoms: does a DRESS syndrome really exist?Br J Dermatol.2006;155:422428.
  6. Lerch M,Pichler WJ.The immunological and clinical spectrum of delayed drug‐induced exanthems.Curr Opin Allergy Clin Immunol.2004;4:411419.
  7. Kano Y,Inaoka M,Shiohara T.Association between anticonvulsant hypersensitivity syndrome and human herpesvirus 6 reactivation and hypogammaglobulinemia.Arch Dermatol.2004;140:183188.
  8. Ghislain PD,Roujeau JC.Treatment of severe drug reactions: Stevens‐Johnson Syndrome, toxic epidermal necrolysis and hypersensitivity syndrome.Dermatol Online J.2002;8:5.
  9. Revuz J,Valeyrie‐Allanore L.Drug reactions. In: Bolognia JL, Jorizzo JL, Rapini RP, eds.Dermatology.2nd ed.Spain:Mosby Elsevier;2008:310311.
  10. Pathology Outlines. Liver and intrahepatic bile ducts—non tumor. Hepatitis (non‐infectious). Drug/toxin‐induced hepatitis. Available at: http://www.pathologyoutlines.com/liver.html#drugtoxin. Accessed August2009.
  11. Izikson L,English JC,Zirwas MJ.The flushing patient: differential diagnosis, workup and treatment.J Am Acad Dermatol.2006;55(2):193208.
  12. Hampton JR,Harrison MJ,Mitchell JR,Prichard JS,Seymour C.Relative contributions of history‐taking, physical examination, and laboratory investigation to diagnosis and management of medical outpatients.Br Med J.1975;2(5969):486489.
  13. Peterson MC,Holbrook JH,Von Hales D,Smith NL,Staker LV.Contributions to the history, physical examination, and laboratory investigation in making medical diagnosis.West J Med.1992;156(2):163165.
  14. Roshan M,Rao AP.A study on relative contributions of the history, physical examination and investigations in making medical diagnosis.J Assoc Physicians India.2000;48(8):771775.
References
  1. Shear NH,Spielberg SP.Anticonvulsant hypersensitivity syndrome. In vitro assessment of risk.J Clin Invest.1988;82:18261832.
  2. Knowles SR,Shapiro LE,Shear NH.Anticonvulsant hypersensitivity syndrome: incidence, prevention, and management.Drug Saf.1999;21:489501.
  3. Wolf R,Matz H,Marcos B,Orion E.Drug rash with eosinophilia and systemic symptoms vs toxic epidermal necrolysis: the dilemma of classification.Clin Dermatol.2005;23:311314.
  4. Tas S,Simonart T.Management of drug rash with eosinophilia and systemic symptoms (DRESS syndrome): an update.Dermatology.2003;206:353356.
  5. Peyriere H,Dereure O,Breton H,Demoly P,Cociglio M,Blayac J‐P; Network of the French Pharmacovigilance Centers. Variability in the clinical pattern of cutaneous side‐effects of drugs with systemic symptoms: does a DRESS syndrome really exist?Br J Dermatol.2006;155:422428.
  6. Lerch M,Pichler WJ.The immunological and clinical spectrum of delayed drug‐induced exanthems.Curr Opin Allergy Clin Immunol.2004;4:411419.
  7. Kano Y,Inaoka M,Shiohara T.Association between anticonvulsant hypersensitivity syndrome and human herpesvirus 6 reactivation and hypogammaglobulinemia.Arch Dermatol.2004;140:183188.
  8. Ghislain PD,Roujeau JC.Treatment of severe drug reactions: Stevens‐Johnson Syndrome, toxic epidermal necrolysis and hypersensitivity syndrome.Dermatol Online J.2002;8:5.
  9. Revuz J,Valeyrie‐Allanore L.Drug reactions. In: Bolognia JL, Jorizzo JL, Rapini RP, eds.Dermatology.2nd ed.Spain:Mosby Elsevier;2008:310311.
  10. Pathology Outlines. Liver and intrahepatic bile ducts—non tumor. Hepatitis (non‐infectious). Drug/toxin‐induced hepatitis. Available at: http://www.pathologyoutlines.com/liver.html#drugtoxin. Accessed August2009.
  11. Izikson L,English JC,Zirwas MJ.The flushing patient: differential diagnosis, workup and treatment.J Am Acad Dermatol.2006;55(2):193208.
  12. Hampton JR,Harrison MJ,Mitchell JR,Prichard JS,Seymour C.Relative contributions of history‐taking, physical examination, and laboratory investigation to diagnosis and management of medical outpatients.Br Med J.1975;2(5969):486489.
  13. Peterson MC,Holbrook JH,Von Hales D,Smith NL,Staker LV.Contributions to the history, physical examination, and laboratory investigation in making medical diagnosis.West J Med.1992;156(2):163165.
  14. Roshan M,Rao AP.A study on relative contributions of the history, physical examination and investigations in making medical diagnosis.J Assoc Physicians India.2000;48(8):771775.
Issue
Journal of Hospital Medicine - 4(9)
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Journal of Hospital Medicine - 4(9)
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Flushing out the diagnosis
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Flushing out the diagnosis
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Bilateral Adrenal Hemorrhage Complication

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A life threatening complication of anticoagulation prophylaxis‐bilateral adrenal hemorrhage

A 52‐year‐old man presented to the emergency department (ED) from a skilled nursing facility with a complaint of bilateral upper‐quadrant abdominal pain of 48 hours' duration. The pain was sharp, nonradiating, constant, and was associated with nausea, vomiting, and constipation. The patient denied any fever, back pain, dysuria, melena, or hematochezia. In the rehabilitation facility the patient had been initially evaluated for this pain. He was given laxatives and stool softeners for presumed constipation but these measures had not been effective. A computed tomography (CT) scan of the abdomen had only showed stool in the colon and he was sent to the ED for further evaluation.

Apart from severe degenerative joint disease in both his knees he was in good health. He was in the skilled nursing facility (SNF) for rehabilitation for bilateral knee replacement surgery done 9 days prior to this presentation. His postoperative course was unremarkable. He had been maintained on prophylaxis for venous thromboembolism with enoxaparin since postoperative day 1 at a daily dose of 40 mg subcutaneously, and was transferred to the SNF on postoperative day 6 on the same dose. His was receiving oxycodone and Tylenol for pain. He was on no other medications.

Vital signs on presentation revealed a temperature of 97.5F, a heart rate of 100 beats per minute, a respiratory rate of 16 breaths per minute, and a blood pressure of 136/69 mmHg. He was alert and oriented and in mild distress from the abdominal pain. Examination was normal except for tenderness in the upper quadrants of the abdomen though no rigidity or rebound tenderness were noted. Routine chemistries were normal except for sodium of 134 mg/dL. His white count, hemoglobin, hematocrit, and platelet levels were noted to be at 17.5K/L, 10 g/dL, 30%, and 345K/L, respectively, and were stable with regard to his discharge laboratory values. His serum eosinophil level was normal. A complete workup for hypercoagulable state and bleeding disorders including assays for antibodies associated with heparin‐induced thrombocytopenia were negative. He was admitted for further evaluation and treatment.

The patient had another CT scan of the abdomen (Figure 1), which when compared to the one done at the SNF 2 days prior showed markedly enlarged bilateral adrenal glands suggestive of bilateral acute adrenal hemorrhage. The enoxaparin was discontinued and empiric steroid replacement therapy was begun. A random cortisol level was normal but a cosyntropin stimulation test showed an absolute increase in cortisol level of only 0.8 g/dL at both 30 and 60 minutes after administration of 250 g of cosyntropin. An investigation was undertaken to determine if the patient had any prior risk factors for bleeding. There was no evidence of infection and a comprehensive evaluation for bleeding, and coagulation disorders was normal. The bilateral adrenal hemorrhage was attributed to the use of enoxaparin in the postoperative setting. Unfortunately, the patient subsequently developed a deep venous thrombosis in his lower extremity and an inferior vena cava (IVC) filter was placed before discharge. He was doing well 6 months later, and is still continued on glucocorticoid and mineralocorticoid replacement therapy and follows up with endocrinology as an outpatient.

Figure 1
Bilateral adrenal hemorrhage on CT. Abbreviation: CT, computed tomography.

Discussion

Bilateral adrenal hemorrhage is usually associated with massive sepsis from Gram‐negative organisms such as Neisseria meningitides, Pseudomonas aeroginosa, Escherichia coli, and Bacteroides fragilis. Rupert Waterhouse, in 1911, was the first person to describe a patient with severe meningococcal sepsis resulting in acute adrenal hemorrhage and collapse. This was also later described independently by Carl Friderichsen in 1918, and is now referred to as the Waterhouse‐Friderichsen syndrome. Other causes include antiphospholipid antibody syndrome, heparin‐associated thrombocytopenia (HIT), and severe physical stress. Bilateral adrenal hemorrhage can also spontaneously occur in the postoperative period, especially after cardiothoracic or orthopedic surgery. This phenomenon may be related to the frequent use of prophylactic anticoagulants after these types of procedures.

The first case report of bilateral adrenal hemorrhage secondary to use of anticoagulants was described in 1947, and the first case report of successful resuscitation after corticosteroid administration in a patient with bilateral adrenal hemorrhage secondary to anticoagulant use was described by Thorn in 1956.1 A review of the literature demonstrates multiple case reports of adrenal hemorrhage reported in the postoperative period, particularly after joint arthroplasty, and especially after knee replacement surgeries. Most of the recent cases have been associated with use of prophylactic low‐dose heparin or low‐molecular‐weight heparin at the time of adrenal hemorrhage. In a study of 157 case reports of individuals with bilateral hemorrhage (including 22 autopsies), 48 cases were associated with administration of anticoagulants, although the dose and effect were not specified.2 Amador et al.1 showed that out of 4325 autopsies performed from 1949 to 1962 in their institution, 30 cases were found of bilateral hemorrhage, of which 10 were receiving heparin at presumably prophylactic doses; 5 of these patients were also receiving dicumarol.

Mayo Clinic investigators performed a retrospective review of all cases of adrenal hemorrhage over a period of 25 years at their hospital, and found 141 cases of adrenal hemorrhage, of which 78 were bilateral and 63 were unilateral,3 and in 67 patients the condition was diagnosed at autopsy. In this study 14 patients had adrenal hemorrhage in the postoperative period in the absence of lupus anticoagulant or HIT; there was no specific mention in this study of the use of postoperative anticoagulants. Finally, a multicenter case control study was undertaken by Kovacs et al.4 to assess putative risk factors for development of bilateral massive adrenal hemorrhage. In the multivariate analysis, thrombocytopenia, exposure to heparin, and sepsis were found to be strongly associated with risk of hemorrhage. Of 23 patients with bilateral, massive adrenal hemorrhage, 16 had been exposed to heparin, and at least 6 were on exclusively subcutaneous heparin. The authors concluded that heparin exposure was a much bigger risk factor than other coagulopathies, and those exposed to heparin of any route or type for 4 to 6 days and those exposed for more than 6 days were about 17 and 34 times, respectively, more likely to develop bilateral hemorrhage than those who had less than 4 days or no exposure.

The clinical presentation of adrenal insufficiency due to bilateral adrenal hemorrhage is often nonspecific. Symptoms may include abdominal pain, back pain, fever, nausea, vomiting, weakness, obtundation, confusion, and hypotensionall of which are also common postoperative symptoms and can be missed or ignored.5 Rao et al.6 profiled the clinical presentation of 64 cases of bilateral hemorrhage and found the following: abdominal, flank, back, or chest pain (86%); anorexia, nausea, or vomiting (47%); psychiatric symptoms (42%); fever (66%); hypotension recognized before shock episode (19%); and abdominal rigidity or rebound (22%). Adrenal insufficiency becomes clinically evident once 90% of the gland is destroyed. About 50% of patients do not manifest typical laboratory abnormalities, so a high degree of suspicion is necessary to diagnose the condition.3 Also, the laboratory diagnosis of adrenal insufficiency using random cortisol levels is unreliable, as reference ranges in patients experiencing stress (as in the postoperative period) have not been well studied or established. In patients with bilateral hemorrhage postoperatively on prophylactic anticoagulants, the coagulation profile is usually within normal limits and there is typically no evidence of spontaneous bleeding elsewhere. In later stages, the typical laboratory findings of abnormal adrenal function such as hypokalemia, hyponatremia, declining cortisol levels, and an inappropriate response to adrenocorticotropic hormone stimulation test may be seen. A significant drop in hemoglobin secondary to hemorrhage may also be encountered in some patients secondary to the bleed.

CT is the most reliable and extensively used imaging modality for making the diagnosis, although magnetic resonance imaging (MRI) or ultrasound may also be utilized. Early in the course of adrenal hemorrhage, CT findings may be negative, and repeated imaging is appropriate when clinical suspicion is high. The presence of bilateral adrenal enlargement with increased signal attenuation suggests bilateral adrenal hemorrhage. MRI can both characterize adrenal hematomas, and estimate their age.7, 8

Postoperative adrenal hemorrhage and insufficiency is easily treatable and has excellent outcomes; survivors will need lifelong corticosteroid replacement (and usually mineralocorticoid replacement as well). In the Mayo Clinic study, survival was 100% with treatment vs. 17% without treatment. In comparison, sepsis‐induced or stress‐induced adrenal insufficiency has poor outcomes despite adequate treatment (9% survival with treatment vs. 6% survival without treatment).3 Death can occur within hours to days of symptoms if untreated. Treatment includes timely initiation of adrenal hormone replacement and reversal of coagulopathies.

Postoperative venous thromboembolism (VTE) prophylaxis with anticoagulants is the appropriate care in many cases, but, along with the postoperative state itself, also appears to be a risk factor for this unusual condition. Postoperative bilateral adrenal hemorrhage is rare and potentially fatal. Early identification and prompt initiation of steroid replacement therapy and reversal of coagulopathies can prove to be lifesaving. Making this diagnosis can be very challenging, as the clinical presentation and laboratory findings of adrenal hemorrhage are vague and nonspecific and mimic many nonlife threatening postoperative complications. Radiological diagnosis by CT may initially be normal and thus further confound the diagnosis. Hence, providers should remain vigilant for associated complications even with low‐dose prophylactic heparin or low‐molecular‐weight heparin in postoperative patients, and prompt, presumptive treatment with corticosteroids should be started while awaiting confirmation by imaging and laboratory testing.

References
  1. Amador E.Adrenal hemorrhage during anticoagulant therapy. A clinical and pathological study of ten cases.Ann Intern Med.1965;63(4):559571.
  2. Xarli VP,Steele AA,Davis PJ,Buescher ES,Rios CN,Garcia‐Bunuel R.Adrenal hemorrhage in the adult.Medicine.1978;57(3):211221.
  3. Vella A,Nippoldt TB,Morris JC.Adrenal hemorrhage: a 25‐year experience at the Mayo Clinic.Mayo Clin Proc.2001;76(2):161168.
  4. Kovacs KA,Lam YM,Pater JL.Bilateral massive adrenal hemorrhage. Assessment of putative risk factors by the case‐control method.Medicine.2001;80(1):4553.
  5. Rao RH.Bilateral massive adrenal hemorrhage.Med Clin North Am.1995;79(1):107129.
  6. Rao RH,Vagnucci AH,Amico JA.Bilateral massive adrenal hemorrhage: early recognition and treatment.Ann Intern Med.1989;110(3):227235.
  7. Kawashima A,Sandler CM,Ernst RD, et al.Imaging of nontraumatic hemorrhage of the adrenal gland.Radiographics.1999;19(4):949963.
  8. Hoeffel C,Legmann P,Luton JP,Chapuis Y,Fayet‐Bonnin P.Spontaneous unilateral adrenal hemorrhage: computerized tomography and magnetic resonance imaging findings in 8 cases.J Urol.1995;154(5):16471651.
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A 52‐year‐old man presented to the emergency department (ED) from a skilled nursing facility with a complaint of bilateral upper‐quadrant abdominal pain of 48 hours' duration. The pain was sharp, nonradiating, constant, and was associated with nausea, vomiting, and constipation. The patient denied any fever, back pain, dysuria, melena, or hematochezia. In the rehabilitation facility the patient had been initially evaluated for this pain. He was given laxatives and stool softeners for presumed constipation but these measures had not been effective. A computed tomography (CT) scan of the abdomen had only showed stool in the colon and he was sent to the ED for further evaluation.

Apart from severe degenerative joint disease in both his knees he was in good health. He was in the skilled nursing facility (SNF) for rehabilitation for bilateral knee replacement surgery done 9 days prior to this presentation. His postoperative course was unremarkable. He had been maintained on prophylaxis for venous thromboembolism with enoxaparin since postoperative day 1 at a daily dose of 40 mg subcutaneously, and was transferred to the SNF on postoperative day 6 on the same dose. His was receiving oxycodone and Tylenol for pain. He was on no other medications.

Vital signs on presentation revealed a temperature of 97.5F, a heart rate of 100 beats per minute, a respiratory rate of 16 breaths per minute, and a blood pressure of 136/69 mmHg. He was alert and oriented and in mild distress from the abdominal pain. Examination was normal except for tenderness in the upper quadrants of the abdomen though no rigidity or rebound tenderness were noted. Routine chemistries were normal except for sodium of 134 mg/dL. His white count, hemoglobin, hematocrit, and platelet levels were noted to be at 17.5K/L, 10 g/dL, 30%, and 345K/L, respectively, and were stable with regard to his discharge laboratory values. His serum eosinophil level was normal. A complete workup for hypercoagulable state and bleeding disorders including assays for antibodies associated with heparin‐induced thrombocytopenia were negative. He was admitted for further evaluation and treatment.

The patient had another CT scan of the abdomen (Figure 1), which when compared to the one done at the SNF 2 days prior showed markedly enlarged bilateral adrenal glands suggestive of bilateral acute adrenal hemorrhage. The enoxaparin was discontinued and empiric steroid replacement therapy was begun. A random cortisol level was normal but a cosyntropin stimulation test showed an absolute increase in cortisol level of only 0.8 g/dL at both 30 and 60 minutes after administration of 250 g of cosyntropin. An investigation was undertaken to determine if the patient had any prior risk factors for bleeding. There was no evidence of infection and a comprehensive evaluation for bleeding, and coagulation disorders was normal. The bilateral adrenal hemorrhage was attributed to the use of enoxaparin in the postoperative setting. Unfortunately, the patient subsequently developed a deep venous thrombosis in his lower extremity and an inferior vena cava (IVC) filter was placed before discharge. He was doing well 6 months later, and is still continued on glucocorticoid and mineralocorticoid replacement therapy and follows up with endocrinology as an outpatient.

Figure 1
Bilateral adrenal hemorrhage on CT. Abbreviation: CT, computed tomography.

Discussion

Bilateral adrenal hemorrhage is usually associated with massive sepsis from Gram‐negative organisms such as Neisseria meningitides, Pseudomonas aeroginosa, Escherichia coli, and Bacteroides fragilis. Rupert Waterhouse, in 1911, was the first person to describe a patient with severe meningococcal sepsis resulting in acute adrenal hemorrhage and collapse. This was also later described independently by Carl Friderichsen in 1918, and is now referred to as the Waterhouse‐Friderichsen syndrome. Other causes include antiphospholipid antibody syndrome, heparin‐associated thrombocytopenia (HIT), and severe physical stress. Bilateral adrenal hemorrhage can also spontaneously occur in the postoperative period, especially after cardiothoracic or orthopedic surgery. This phenomenon may be related to the frequent use of prophylactic anticoagulants after these types of procedures.

The first case report of bilateral adrenal hemorrhage secondary to use of anticoagulants was described in 1947, and the first case report of successful resuscitation after corticosteroid administration in a patient with bilateral adrenal hemorrhage secondary to anticoagulant use was described by Thorn in 1956.1 A review of the literature demonstrates multiple case reports of adrenal hemorrhage reported in the postoperative period, particularly after joint arthroplasty, and especially after knee replacement surgeries. Most of the recent cases have been associated with use of prophylactic low‐dose heparin or low‐molecular‐weight heparin at the time of adrenal hemorrhage. In a study of 157 case reports of individuals with bilateral hemorrhage (including 22 autopsies), 48 cases were associated with administration of anticoagulants, although the dose and effect were not specified.2 Amador et al.1 showed that out of 4325 autopsies performed from 1949 to 1962 in their institution, 30 cases were found of bilateral hemorrhage, of which 10 were receiving heparin at presumably prophylactic doses; 5 of these patients were also receiving dicumarol.

Mayo Clinic investigators performed a retrospective review of all cases of adrenal hemorrhage over a period of 25 years at their hospital, and found 141 cases of adrenal hemorrhage, of which 78 were bilateral and 63 were unilateral,3 and in 67 patients the condition was diagnosed at autopsy. In this study 14 patients had adrenal hemorrhage in the postoperative period in the absence of lupus anticoagulant or HIT; there was no specific mention in this study of the use of postoperative anticoagulants. Finally, a multicenter case control study was undertaken by Kovacs et al.4 to assess putative risk factors for development of bilateral massive adrenal hemorrhage. In the multivariate analysis, thrombocytopenia, exposure to heparin, and sepsis were found to be strongly associated with risk of hemorrhage. Of 23 patients with bilateral, massive adrenal hemorrhage, 16 had been exposed to heparin, and at least 6 were on exclusively subcutaneous heparin. The authors concluded that heparin exposure was a much bigger risk factor than other coagulopathies, and those exposed to heparin of any route or type for 4 to 6 days and those exposed for more than 6 days were about 17 and 34 times, respectively, more likely to develop bilateral hemorrhage than those who had less than 4 days or no exposure.

The clinical presentation of adrenal insufficiency due to bilateral adrenal hemorrhage is often nonspecific. Symptoms may include abdominal pain, back pain, fever, nausea, vomiting, weakness, obtundation, confusion, and hypotensionall of which are also common postoperative symptoms and can be missed or ignored.5 Rao et al.6 profiled the clinical presentation of 64 cases of bilateral hemorrhage and found the following: abdominal, flank, back, or chest pain (86%); anorexia, nausea, or vomiting (47%); psychiatric symptoms (42%); fever (66%); hypotension recognized before shock episode (19%); and abdominal rigidity or rebound (22%). Adrenal insufficiency becomes clinically evident once 90% of the gland is destroyed. About 50% of patients do not manifest typical laboratory abnormalities, so a high degree of suspicion is necessary to diagnose the condition.3 Also, the laboratory diagnosis of adrenal insufficiency using random cortisol levels is unreliable, as reference ranges in patients experiencing stress (as in the postoperative period) have not been well studied or established. In patients with bilateral hemorrhage postoperatively on prophylactic anticoagulants, the coagulation profile is usually within normal limits and there is typically no evidence of spontaneous bleeding elsewhere. In later stages, the typical laboratory findings of abnormal adrenal function such as hypokalemia, hyponatremia, declining cortisol levels, and an inappropriate response to adrenocorticotropic hormone stimulation test may be seen. A significant drop in hemoglobin secondary to hemorrhage may also be encountered in some patients secondary to the bleed.

CT is the most reliable and extensively used imaging modality for making the diagnosis, although magnetic resonance imaging (MRI) or ultrasound may also be utilized. Early in the course of adrenal hemorrhage, CT findings may be negative, and repeated imaging is appropriate when clinical suspicion is high. The presence of bilateral adrenal enlargement with increased signal attenuation suggests bilateral adrenal hemorrhage. MRI can both characterize adrenal hematomas, and estimate their age.7, 8

Postoperative adrenal hemorrhage and insufficiency is easily treatable and has excellent outcomes; survivors will need lifelong corticosteroid replacement (and usually mineralocorticoid replacement as well). In the Mayo Clinic study, survival was 100% with treatment vs. 17% without treatment. In comparison, sepsis‐induced or stress‐induced adrenal insufficiency has poor outcomes despite adequate treatment (9% survival with treatment vs. 6% survival without treatment).3 Death can occur within hours to days of symptoms if untreated. Treatment includes timely initiation of adrenal hormone replacement and reversal of coagulopathies.

Postoperative venous thromboembolism (VTE) prophylaxis with anticoagulants is the appropriate care in many cases, but, along with the postoperative state itself, also appears to be a risk factor for this unusual condition. Postoperative bilateral adrenal hemorrhage is rare and potentially fatal. Early identification and prompt initiation of steroid replacement therapy and reversal of coagulopathies can prove to be lifesaving. Making this diagnosis can be very challenging, as the clinical presentation and laboratory findings of adrenal hemorrhage are vague and nonspecific and mimic many nonlife threatening postoperative complications. Radiological diagnosis by CT may initially be normal and thus further confound the diagnosis. Hence, providers should remain vigilant for associated complications even with low‐dose prophylactic heparin or low‐molecular‐weight heparin in postoperative patients, and prompt, presumptive treatment with corticosteroids should be started while awaiting confirmation by imaging and laboratory testing.

A 52‐year‐old man presented to the emergency department (ED) from a skilled nursing facility with a complaint of bilateral upper‐quadrant abdominal pain of 48 hours' duration. The pain was sharp, nonradiating, constant, and was associated with nausea, vomiting, and constipation. The patient denied any fever, back pain, dysuria, melena, or hematochezia. In the rehabilitation facility the patient had been initially evaluated for this pain. He was given laxatives and stool softeners for presumed constipation but these measures had not been effective. A computed tomography (CT) scan of the abdomen had only showed stool in the colon and he was sent to the ED for further evaluation.

Apart from severe degenerative joint disease in both his knees he was in good health. He was in the skilled nursing facility (SNF) for rehabilitation for bilateral knee replacement surgery done 9 days prior to this presentation. His postoperative course was unremarkable. He had been maintained on prophylaxis for venous thromboembolism with enoxaparin since postoperative day 1 at a daily dose of 40 mg subcutaneously, and was transferred to the SNF on postoperative day 6 on the same dose. His was receiving oxycodone and Tylenol for pain. He was on no other medications.

Vital signs on presentation revealed a temperature of 97.5F, a heart rate of 100 beats per minute, a respiratory rate of 16 breaths per minute, and a blood pressure of 136/69 mmHg. He was alert and oriented and in mild distress from the abdominal pain. Examination was normal except for tenderness in the upper quadrants of the abdomen though no rigidity or rebound tenderness were noted. Routine chemistries were normal except for sodium of 134 mg/dL. His white count, hemoglobin, hematocrit, and platelet levels were noted to be at 17.5K/L, 10 g/dL, 30%, and 345K/L, respectively, and were stable with regard to his discharge laboratory values. His serum eosinophil level was normal. A complete workup for hypercoagulable state and bleeding disorders including assays for antibodies associated with heparin‐induced thrombocytopenia were negative. He was admitted for further evaluation and treatment.

The patient had another CT scan of the abdomen (Figure 1), which when compared to the one done at the SNF 2 days prior showed markedly enlarged bilateral adrenal glands suggestive of bilateral acute adrenal hemorrhage. The enoxaparin was discontinued and empiric steroid replacement therapy was begun. A random cortisol level was normal but a cosyntropin stimulation test showed an absolute increase in cortisol level of only 0.8 g/dL at both 30 and 60 minutes after administration of 250 g of cosyntropin. An investigation was undertaken to determine if the patient had any prior risk factors for bleeding. There was no evidence of infection and a comprehensive evaluation for bleeding, and coagulation disorders was normal. The bilateral adrenal hemorrhage was attributed to the use of enoxaparin in the postoperative setting. Unfortunately, the patient subsequently developed a deep venous thrombosis in his lower extremity and an inferior vena cava (IVC) filter was placed before discharge. He was doing well 6 months later, and is still continued on glucocorticoid and mineralocorticoid replacement therapy and follows up with endocrinology as an outpatient.

Figure 1
Bilateral adrenal hemorrhage on CT. Abbreviation: CT, computed tomography.

Discussion

Bilateral adrenal hemorrhage is usually associated with massive sepsis from Gram‐negative organisms such as Neisseria meningitides, Pseudomonas aeroginosa, Escherichia coli, and Bacteroides fragilis. Rupert Waterhouse, in 1911, was the first person to describe a patient with severe meningococcal sepsis resulting in acute adrenal hemorrhage and collapse. This was also later described independently by Carl Friderichsen in 1918, and is now referred to as the Waterhouse‐Friderichsen syndrome. Other causes include antiphospholipid antibody syndrome, heparin‐associated thrombocytopenia (HIT), and severe physical stress. Bilateral adrenal hemorrhage can also spontaneously occur in the postoperative period, especially after cardiothoracic or orthopedic surgery. This phenomenon may be related to the frequent use of prophylactic anticoagulants after these types of procedures.

The first case report of bilateral adrenal hemorrhage secondary to use of anticoagulants was described in 1947, and the first case report of successful resuscitation after corticosteroid administration in a patient with bilateral adrenal hemorrhage secondary to anticoagulant use was described by Thorn in 1956.1 A review of the literature demonstrates multiple case reports of adrenal hemorrhage reported in the postoperative period, particularly after joint arthroplasty, and especially after knee replacement surgeries. Most of the recent cases have been associated with use of prophylactic low‐dose heparin or low‐molecular‐weight heparin at the time of adrenal hemorrhage. In a study of 157 case reports of individuals with bilateral hemorrhage (including 22 autopsies), 48 cases were associated with administration of anticoagulants, although the dose and effect were not specified.2 Amador et al.1 showed that out of 4325 autopsies performed from 1949 to 1962 in their institution, 30 cases were found of bilateral hemorrhage, of which 10 were receiving heparin at presumably prophylactic doses; 5 of these patients were also receiving dicumarol.

Mayo Clinic investigators performed a retrospective review of all cases of adrenal hemorrhage over a period of 25 years at their hospital, and found 141 cases of adrenal hemorrhage, of which 78 were bilateral and 63 were unilateral,3 and in 67 patients the condition was diagnosed at autopsy. In this study 14 patients had adrenal hemorrhage in the postoperative period in the absence of lupus anticoagulant or HIT; there was no specific mention in this study of the use of postoperative anticoagulants. Finally, a multicenter case control study was undertaken by Kovacs et al.4 to assess putative risk factors for development of bilateral massive adrenal hemorrhage. In the multivariate analysis, thrombocytopenia, exposure to heparin, and sepsis were found to be strongly associated with risk of hemorrhage. Of 23 patients with bilateral, massive adrenal hemorrhage, 16 had been exposed to heparin, and at least 6 were on exclusively subcutaneous heparin. The authors concluded that heparin exposure was a much bigger risk factor than other coagulopathies, and those exposed to heparin of any route or type for 4 to 6 days and those exposed for more than 6 days were about 17 and 34 times, respectively, more likely to develop bilateral hemorrhage than those who had less than 4 days or no exposure.

The clinical presentation of adrenal insufficiency due to bilateral adrenal hemorrhage is often nonspecific. Symptoms may include abdominal pain, back pain, fever, nausea, vomiting, weakness, obtundation, confusion, and hypotensionall of which are also common postoperative symptoms and can be missed or ignored.5 Rao et al.6 profiled the clinical presentation of 64 cases of bilateral hemorrhage and found the following: abdominal, flank, back, or chest pain (86%); anorexia, nausea, or vomiting (47%); psychiatric symptoms (42%); fever (66%); hypotension recognized before shock episode (19%); and abdominal rigidity or rebound (22%). Adrenal insufficiency becomes clinically evident once 90% of the gland is destroyed. About 50% of patients do not manifest typical laboratory abnormalities, so a high degree of suspicion is necessary to diagnose the condition.3 Also, the laboratory diagnosis of adrenal insufficiency using random cortisol levels is unreliable, as reference ranges in patients experiencing stress (as in the postoperative period) have not been well studied or established. In patients with bilateral hemorrhage postoperatively on prophylactic anticoagulants, the coagulation profile is usually within normal limits and there is typically no evidence of spontaneous bleeding elsewhere. In later stages, the typical laboratory findings of abnormal adrenal function such as hypokalemia, hyponatremia, declining cortisol levels, and an inappropriate response to adrenocorticotropic hormone stimulation test may be seen. A significant drop in hemoglobin secondary to hemorrhage may also be encountered in some patients secondary to the bleed.

CT is the most reliable and extensively used imaging modality for making the diagnosis, although magnetic resonance imaging (MRI) or ultrasound may also be utilized. Early in the course of adrenal hemorrhage, CT findings may be negative, and repeated imaging is appropriate when clinical suspicion is high. The presence of bilateral adrenal enlargement with increased signal attenuation suggests bilateral adrenal hemorrhage. MRI can both characterize adrenal hematomas, and estimate their age.7, 8

Postoperative adrenal hemorrhage and insufficiency is easily treatable and has excellent outcomes; survivors will need lifelong corticosteroid replacement (and usually mineralocorticoid replacement as well). In the Mayo Clinic study, survival was 100% with treatment vs. 17% without treatment. In comparison, sepsis‐induced or stress‐induced adrenal insufficiency has poor outcomes despite adequate treatment (9% survival with treatment vs. 6% survival without treatment).3 Death can occur within hours to days of symptoms if untreated. Treatment includes timely initiation of adrenal hormone replacement and reversal of coagulopathies.

Postoperative venous thromboembolism (VTE) prophylaxis with anticoagulants is the appropriate care in many cases, but, along with the postoperative state itself, also appears to be a risk factor for this unusual condition. Postoperative bilateral adrenal hemorrhage is rare and potentially fatal. Early identification and prompt initiation of steroid replacement therapy and reversal of coagulopathies can prove to be lifesaving. Making this diagnosis can be very challenging, as the clinical presentation and laboratory findings of adrenal hemorrhage are vague and nonspecific and mimic many nonlife threatening postoperative complications. Radiological diagnosis by CT may initially be normal and thus further confound the diagnosis. Hence, providers should remain vigilant for associated complications even with low‐dose prophylactic heparin or low‐molecular‐weight heparin in postoperative patients, and prompt, presumptive treatment with corticosteroids should be started while awaiting confirmation by imaging and laboratory testing.

References
  1. Amador E.Adrenal hemorrhage during anticoagulant therapy. A clinical and pathological study of ten cases.Ann Intern Med.1965;63(4):559571.
  2. Xarli VP,Steele AA,Davis PJ,Buescher ES,Rios CN,Garcia‐Bunuel R.Adrenal hemorrhage in the adult.Medicine.1978;57(3):211221.
  3. Vella A,Nippoldt TB,Morris JC.Adrenal hemorrhage: a 25‐year experience at the Mayo Clinic.Mayo Clin Proc.2001;76(2):161168.
  4. Kovacs KA,Lam YM,Pater JL.Bilateral massive adrenal hemorrhage. Assessment of putative risk factors by the case‐control method.Medicine.2001;80(1):4553.
  5. Rao RH.Bilateral massive adrenal hemorrhage.Med Clin North Am.1995;79(1):107129.
  6. Rao RH,Vagnucci AH,Amico JA.Bilateral massive adrenal hemorrhage: early recognition and treatment.Ann Intern Med.1989;110(3):227235.
  7. Kawashima A,Sandler CM,Ernst RD, et al.Imaging of nontraumatic hemorrhage of the adrenal gland.Radiographics.1999;19(4):949963.
  8. Hoeffel C,Legmann P,Luton JP,Chapuis Y,Fayet‐Bonnin P.Spontaneous unilateral adrenal hemorrhage: computerized tomography and magnetic resonance imaging findings in 8 cases.J Urol.1995;154(5):16471651.
References
  1. Amador E.Adrenal hemorrhage during anticoagulant therapy. A clinical and pathological study of ten cases.Ann Intern Med.1965;63(4):559571.
  2. Xarli VP,Steele AA,Davis PJ,Buescher ES,Rios CN,Garcia‐Bunuel R.Adrenal hemorrhage in the adult.Medicine.1978;57(3):211221.
  3. Vella A,Nippoldt TB,Morris JC.Adrenal hemorrhage: a 25‐year experience at the Mayo Clinic.Mayo Clin Proc.2001;76(2):161168.
  4. Kovacs KA,Lam YM,Pater JL.Bilateral massive adrenal hemorrhage. Assessment of putative risk factors by the case‐control method.Medicine.2001;80(1):4553.
  5. Rao RH.Bilateral massive adrenal hemorrhage.Med Clin North Am.1995;79(1):107129.
  6. Rao RH,Vagnucci AH,Amico JA.Bilateral massive adrenal hemorrhage: early recognition and treatment.Ann Intern Med.1989;110(3):227235.
  7. Kawashima A,Sandler CM,Ernst RD, et al.Imaging of nontraumatic hemorrhage of the adrenal gland.Radiographics.1999;19(4):949963.
  8. Hoeffel C,Legmann P,Luton JP,Chapuis Y,Fayet‐Bonnin P.Spontaneous unilateral adrenal hemorrhage: computerized tomography and magnetic resonance imaging findings in 8 cases.J Urol.1995;154(5):16471651.
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A life threatening complication of anticoagulation prophylaxis‐bilateral adrenal hemorrhage
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Metastatic Lobular Breast Carcinoma

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Gastric outlet obstruction as the presenting manifestation of metastatic lobular breast carcinoma

Gastric outlet obstruction (GOO) is frequently a diagnostic dilemma as malignancies have surpassed benign diseases as etiologies of GOO.1, 2 A case is presented of a previously healthy patient with persistent vomiting who was sequentially diagnosed with peptic ulcer disease (PUD), pancreatitis, and cholecystitis. Unfortunately, the diagnostic workup was less straightforward than initially suspected, as she was eventually diagnosed with a malignant GOO.

To the best of our knowledge, this is the second case in which GOO was the presenting manifestation of a previously undiagnosed metastatic lobular breast carcinoma.1 Although gastrointestinal involvement may be a late manifestation of metastatic breast carcinoma that almost always follows after spread to other sites, this case illustrates GOO as a presenting manifestation.3 Perhaps the most salient teaching point, consistent with recent literature, is that endoscopic biopsies in the workup of malignant GOO are often misleading and delay diagnosis.4

Case Report

A 44‐year‐old female with a history of fibrocystic breast disease presented with 1 month of right upper quadrant abdominal pain and nonbilious emesis of undigested food occurring several hours postprandially. Gallstones were demonstrated on an abdominal sonogram, and esophagogastroduodenoscopy revealed a normal proximal esophagus, distal esophagitis, and a Schatzki ring. An 8‐mm duodenal bulb ulcer was biopsied with benign results, but no duodenal obstruction or narrowing was visualized. Therapy for presumptive Helicobacter pylori infection and PUD was initiated, but she was hospitalized shortly later with persistent vomiting and acute renal failure. An abdominal computed tomography (CT) scan showed evidence of pancreatitis but a normal biliary system and normal small and large bowels. There was no clinical jaundice, and hepatic function tests were normal. After medical therapy, an open cholecystectomy was performed because of dense adhesions of the large and small bowels to the liver and gallbladder. No gross abnormalities of the common bile duct or intestines were described.

With the persistence of intractable vomiting, abdominal and pelvic CT scans were repeated and revealed duodenal thickening and luminal narrowing. Follow‐up abdominal magnetic resonance imaging (Figure 1) demonstrated an infiltrating duodenal mass with a resultant high‐grade GOO. Histological examination from repeat endoscopic biopsies of the duodenal mass revealed signet ring cells infiltrating the lamina propria with positive estrogen and progesterone receptors. Upon presentation to the surgical service, a physical examination revealed a right breast mass, and a subsequent breast biopsy diagnosed lobular breast carcinoma with 10% estrogen receptor and 5% progesterone receptor and histology identical to that of the duodenal mass. Immunohistochemical assays confirmed primary breast carcinoma with duodenal metastasis. A lumpectomy was performed, and docetaxel was initiated for stage IV invasive lobular breast carcinoma. A gastrostomy and duodenal stents were placed for the GOO with resolution of the vomiting, and she received hospice and palliative care.

Figure 1
Coronal T2 fat saturation magnetic resonance image. Arrows show the infiltrating gastric pylorus and duodenal bulb mass causing gastric outlet obstruction with the dilated stomach.

Discussion

Prior to the advent of histamine blockers, PUD was the most common cause of GOO.1 Currently, malignancy accounts for 60% of cases of GOO.13 To the best of our knowledge, this patient's presentation represents the second case in which the initial manifestation of an undiagnosed metastatic breast disease was GOO.1 The diagnosis was both challenging and unusual because of the patient's other organic diseases (gallbladder disease, pancreatic disease, and PUD), which distracted from the underlying diagnosis of malignant GOO.

GOO is a clinical syndrome of diverse etiologies and pathogenesis that is characterized by mechanical impediment of gastric emptying. GOO is divided into 2 well‐defined groups: benign and malignant causes.14 Benign causes include: PUD, gastric polyps, pyloric stenosis, congenital duodenal webs, gallstone obstruction, pancreatic pseudocysts, and bezoars. Gastric cancer is the most common malignant cause and is followed by duodenal carcinoma, pancreatic carcinoma, cholangiocarcinoma, and metastatic disease of the gastric outlet.

Because of the stomach's significant capacity to distend, malignant GOO is often undetected clinically until a high‐grade obstruction develops.13 In patients with a previous diagnosis of carcinoma, nausea and vomiting can be mistakenly attributed to radiation or chemotherapy. Characteristic symptoms include nonbilious emesis of undigested food, early satiety, epigastric fullness, and abdominal pain.13

This case presentation is consistent with recent literature, which reports a surprising lack of reliability in diagnosing malignant GOO by endoscopy.4 In 1 study, endoscopic biopsy for detection of malignant GOO was associated with poor sensitivity (37%) in comparison with surgical biopsy.4 The authors recommended that patients who have a high clinical suspicion of malignant GOO (older patients and those without PUD) and who have initially benign biopsies be considered for surgical exploration prior to medical therapy or undergo repeat endoscopy with jumbo biopsies.4

Alternatively, endoscopic ultrasound has been advocated for detecting early mucosal gastric or duodenal cancer in patients without ulcerous changes on endoscopy. Radiographic features associated with submucosal tumor infiltration include irregular narrowing and budding signs.5 As conventional CT is considered suboptimal for the detection of gastric or intestinal carcinomas, multidetector‐row CT with multiplanar reconstruction has enhanced the overall ability to detect early gastric cancer and advanced gastric cancers with a sensitivity of 96.2%.6

Conclusion

The preceding case demonstrates valuable teaching points encountered in diagnosing malignant GOO. In patients with intractable vomiting severe enough to produce renal failure, other organic causes should be considered before one proceeds directly to cholecystectomy. This case further confirms that endoscopic biopsy is often alarmingly inadequate for diagnosing malignant GOO.46 Thus, if worrisome symptoms persist, the provider should not be comforted by normal endoscopy and should escalate investigations accordingly. More clinical trials should evaluate the roles of endoscopic ultrasound and multidetector‐row CT in the early detection of gastric and duodenal carcinoma in patients with normal endoscopic biopsies, which may have led to a more timely diagnosis in this patient.5, 6

References
  1. Weber CA,Decker RA,Puggioni A, et al.Previously undiagnosed infiltrating lobular carcinoma of the breast presenting as a gastric outlet obstruction.Am J Gastroenterol.2001;12:34753477.
  2. Walker Q,Bious M,Tiver KW, et al.Breast cancer masquerading as primary gastric carcinoma.Aust N Z J Surg.1986;56:398399.
  3. Taal BG,Hartog FC,Steinmetz R, et al.The spectrum of gastrointestinal metastases of breast carcinoma: stomach.Gastrointest Endosc.1992;38:130135.
  4. Awan A,Johnston DE,Jamal MM.Gastric outlet obstruction with benign endoscopic biopsy should be further explored for malignancy.Gastrointest Endosc.1998;48:497502.
  5. Kwee RM,Kwee TC.The accuracy of endoscopic ultrasonography in differentiating mucosal from deeper gastric cancer.Am J Gastroenterol.2008;103:18011809.
  6. Shimizu K,Ito K,Matsunaga N, et al.Diagnosis of gastric cancer with MDCT using the water filling method and multiplanar reconstruction: CT histologic correlation.Am J Roentgenol.2005;185:11521158.
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Issue
Journal of Hospital Medicine - 4(9)
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E23-E24
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acute abdominal emergencies, complications of cancer, diagnostic decision making
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Gastric outlet obstruction (GOO) is frequently a diagnostic dilemma as malignancies have surpassed benign diseases as etiologies of GOO.1, 2 A case is presented of a previously healthy patient with persistent vomiting who was sequentially diagnosed with peptic ulcer disease (PUD), pancreatitis, and cholecystitis. Unfortunately, the diagnostic workup was less straightforward than initially suspected, as she was eventually diagnosed with a malignant GOO.

To the best of our knowledge, this is the second case in which GOO was the presenting manifestation of a previously undiagnosed metastatic lobular breast carcinoma.1 Although gastrointestinal involvement may be a late manifestation of metastatic breast carcinoma that almost always follows after spread to other sites, this case illustrates GOO as a presenting manifestation.3 Perhaps the most salient teaching point, consistent with recent literature, is that endoscopic biopsies in the workup of malignant GOO are often misleading and delay diagnosis.4

Case Report

A 44‐year‐old female with a history of fibrocystic breast disease presented with 1 month of right upper quadrant abdominal pain and nonbilious emesis of undigested food occurring several hours postprandially. Gallstones were demonstrated on an abdominal sonogram, and esophagogastroduodenoscopy revealed a normal proximal esophagus, distal esophagitis, and a Schatzki ring. An 8‐mm duodenal bulb ulcer was biopsied with benign results, but no duodenal obstruction or narrowing was visualized. Therapy for presumptive Helicobacter pylori infection and PUD was initiated, but she was hospitalized shortly later with persistent vomiting and acute renal failure. An abdominal computed tomography (CT) scan showed evidence of pancreatitis but a normal biliary system and normal small and large bowels. There was no clinical jaundice, and hepatic function tests were normal. After medical therapy, an open cholecystectomy was performed because of dense adhesions of the large and small bowels to the liver and gallbladder. No gross abnormalities of the common bile duct or intestines were described.

With the persistence of intractable vomiting, abdominal and pelvic CT scans were repeated and revealed duodenal thickening and luminal narrowing. Follow‐up abdominal magnetic resonance imaging (Figure 1) demonstrated an infiltrating duodenal mass with a resultant high‐grade GOO. Histological examination from repeat endoscopic biopsies of the duodenal mass revealed signet ring cells infiltrating the lamina propria with positive estrogen and progesterone receptors. Upon presentation to the surgical service, a physical examination revealed a right breast mass, and a subsequent breast biopsy diagnosed lobular breast carcinoma with 10% estrogen receptor and 5% progesterone receptor and histology identical to that of the duodenal mass. Immunohistochemical assays confirmed primary breast carcinoma with duodenal metastasis. A lumpectomy was performed, and docetaxel was initiated for stage IV invasive lobular breast carcinoma. A gastrostomy and duodenal stents were placed for the GOO with resolution of the vomiting, and she received hospice and palliative care.

Figure 1
Coronal T2 fat saturation magnetic resonance image. Arrows show the infiltrating gastric pylorus and duodenal bulb mass causing gastric outlet obstruction with the dilated stomach.

Discussion

Prior to the advent of histamine blockers, PUD was the most common cause of GOO.1 Currently, malignancy accounts for 60% of cases of GOO.13 To the best of our knowledge, this patient's presentation represents the second case in which the initial manifestation of an undiagnosed metastatic breast disease was GOO.1 The diagnosis was both challenging and unusual because of the patient's other organic diseases (gallbladder disease, pancreatic disease, and PUD), which distracted from the underlying diagnosis of malignant GOO.

GOO is a clinical syndrome of diverse etiologies and pathogenesis that is characterized by mechanical impediment of gastric emptying. GOO is divided into 2 well‐defined groups: benign and malignant causes.14 Benign causes include: PUD, gastric polyps, pyloric stenosis, congenital duodenal webs, gallstone obstruction, pancreatic pseudocysts, and bezoars. Gastric cancer is the most common malignant cause and is followed by duodenal carcinoma, pancreatic carcinoma, cholangiocarcinoma, and metastatic disease of the gastric outlet.

Because of the stomach's significant capacity to distend, malignant GOO is often undetected clinically until a high‐grade obstruction develops.13 In patients with a previous diagnosis of carcinoma, nausea and vomiting can be mistakenly attributed to radiation or chemotherapy. Characteristic symptoms include nonbilious emesis of undigested food, early satiety, epigastric fullness, and abdominal pain.13

This case presentation is consistent with recent literature, which reports a surprising lack of reliability in diagnosing malignant GOO by endoscopy.4 In 1 study, endoscopic biopsy for detection of malignant GOO was associated with poor sensitivity (37%) in comparison with surgical biopsy.4 The authors recommended that patients who have a high clinical suspicion of malignant GOO (older patients and those without PUD) and who have initially benign biopsies be considered for surgical exploration prior to medical therapy or undergo repeat endoscopy with jumbo biopsies.4

Alternatively, endoscopic ultrasound has been advocated for detecting early mucosal gastric or duodenal cancer in patients without ulcerous changes on endoscopy. Radiographic features associated with submucosal tumor infiltration include irregular narrowing and budding signs.5 As conventional CT is considered suboptimal for the detection of gastric or intestinal carcinomas, multidetector‐row CT with multiplanar reconstruction has enhanced the overall ability to detect early gastric cancer and advanced gastric cancers with a sensitivity of 96.2%.6

Conclusion

The preceding case demonstrates valuable teaching points encountered in diagnosing malignant GOO. In patients with intractable vomiting severe enough to produce renal failure, other organic causes should be considered before one proceeds directly to cholecystectomy. This case further confirms that endoscopic biopsy is often alarmingly inadequate for diagnosing malignant GOO.46 Thus, if worrisome symptoms persist, the provider should not be comforted by normal endoscopy and should escalate investigations accordingly. More clinical trials should evaluate the roles of endoscopic ultrasound and multidetector‐row CT in the early detection of gastric and duodenal carcinoma in patients with normal endoscopic biopsies, which may have led to a more timely diagnosis in this patient.5, 6

Gastric outlet obstruction (GOO) is frequently a diagnostic dilemma as malignancies have surpassed benign diseases as etiologies of GOO.1, 2 A case is presented of a previously healthy patient with persistent vomiting who was sequentially diagnosed with peptic ulcer disease (PUD), pancreatitis, and cholecystitis. Unfortunately, the diagnostic workup was less straightforward than initially suspected, as she was eventually diagnosed with a malignant GOO.

To the best of our knowledge, this is the second case in which GOO was the presenting manifestation of a previously undiagnosed metastatic lobular breast carcinoma.1 Although gastrointestinal involvement may be a late manifestation of metastatic breast carcinoma that almost always follows after spread to other sites, this case illustrates GOO as a presenting manifestation.3 Perhaps the most salient teaching point, consistent with recent literature, is that endoscopic biopsies in the workup of malignant GOO are often misleading and delay diagnosis.4

Case Report

A 44‐year‐old female with a history of fibrocystic breast disease presented with 1 month of right upper quadrant abdominal pain and nonbilious emesis of undigested food occurring several hours postprandially. Gallstones were demonstrated on an abdominal sonogram, and esophagogastroduodenoscopy revealed a normal proximal esophagus, distal esophagitis, and a Schatzki ring. An 8‐mm duodenal bulb ulcer was biopsied with benign results, but no duodenal obstruction or narrowing was visualized. Therapy for presumptive Helicobacter pylori infection and PUD was initiated, but she was hospitalized shortly later with persistent vomiting and acute renal failure. An abdominal computed tomography (CT) scan showed evidence of pancreatitis but a normal biliary system and normal small and large bowels. There was no clinical jaundice, and hepatic function tests were normal. After medical therapy, an open cholecystectomy was performed because of dense adhesions of the large and small bowels to the liver and gallbladder. No gross abnormalities of the common bile duct or intestines were described.

With the persistence of intractable vomiting, abdominal and pelvic CT scans were repeated and revealed duodenal thickening and luminal narrowing. Follow‐up abdominal magnetic resonance imaging (Figure 1) demonstrated an infiltrating duodenal mass with a resultant high‐grade GOO. Histological examination from repeat endoscopic biopsies of the duodenal mass revealed signet ring cells infiltrating the lamina propria with positive estrogen and progesterone receptors. Upon presentation to the surgical service, a physical examination revealed a right breast mass, and a subsequent breast biopsy diagnosed lobular breast carcinoma with 10% estrogen receptor and 5% progesterone receptor and histology identical to that of the duodenal mass. Immunohistochemical assays confirmed primary breast carcinoma with duodenal metastasis. A lumpectomy was performed, and docetaxel was initiated for stage IV invasive lobular breast carcinoma. A gastrostomy and duodenal stents were placed for the GOO with resolution of the vomiting, and she received hospice and palliative care.

Figure 1
Coronal T2 fat saturation magnetic resonance image. Arrows show the infiltrating gastric pylorus and duodenal bulb mass causing gastric outlet obstruction with the dilated stomach.

Discussion

Prior to the advent of histamine blockers, PUD was the most common cause of GOO.1 Currently, malignancy accounts for 60% of cases of GOO.13 To the best of our knowledge, this patient's presentation represents the second case in which the initial manifestation of an undiagnosed metastatic breast disease was GOO.1 The diagnosis was both challenging and unusual because of the patient's other organic diseases (gallbladder disease, pancreatic disease, and PUD), which distracted from the underlying diagnosis of malignant GOO.

GOO is a clinical syndrome of diverse etiologies and pathogenesis that is characterized by mechanical impediment of gastric emptying. GOO is divided into 2 well‐defined groups: benign and malignant causes.14 Benign causes include: PUD, gastric polyps, pyloric stenosis, congenital duodenal webs, gallstone obstruction, pancreatic pseudocysts, and bezoars. Gastric cancer is the most common malignant cause and is followed by duodenal carcinoma, pancreatic carcinoma, cholangiocarcinoma, and metastatic disease of the gastric outlet.

Because of the stomach's significant capacity to distend, malignant GOO is often undetected clinically until a high‐grade obstruction develops.13 In patients with a previous diagnosis of carcinoma, nausea and vomiting can be mistakenly attributed to radiation or chemotherapy. Characteristic symptoms include nonbilious emesis of undigested food, early satiety, epigastric fullness, and abdominal pain.13

This case presentation is consistent with recent literature, which reports a surprising lack of reliability in diagnosing malignant GOO by endoscopy.4 In 1 study, endoscopic biopsy for detection of malignant GOO was associated with poor sensitivity (37%) in comparison with surgical biopsy.4 The authors recommended that patients who have a high clinical suspicion of malignant GOO (older patients and those without PUD) and who have initially benign biopsies be considered for surgical exploration prior to medical therapy or undergo repeat endoscopy with jumbo biopsies.4

Alternatively, endoscopic ultrasound has been advocated for detecting early mucosal gastric or duodenal cancer in patients without ulcerous changes on endoscopy. Radiographic features associated with submucosal tumor infiltration include irregular narrowing and budding signs.5 As conventional CT is considered suboptimal for the detection of gastric or intestinal carcinomas, multidetector‐row CT with multiplanar reconstruction has enhanced the overall ability to detect early gastric cancer and advanced gastric cancers with a sensitivity of 96.2%.6

Conclusion

The preceding case demonstrates valuable teaching points encountered in diagnosing malignant GOO. In patients with intractable vomiting severe enough to produce renal failure, other organic causes should be considered before one proceeds directly to cholecystectomy. This case further confirms that endoscopic biopsy is often alarmingly inadequate for diagnosing malignant GOO.46 Thus, if worrisome symptoms persist, the provider should not be comforted by normal endoscopy and should escalate investigations accordingly. More clinical trials should evaluate the roles of endoscopic ultrasound and multidetector‐row CT in the early detection of gastric and duodenal carcinoma in patients with normal endoscopic biopsies, which may have led to a more timely diagnosis in this patient.5, 6

References
  1. Weber CA,Decker RA,Puggioni A, et al.Previously undiagnosed infiltrating lobular carcinoma of the breast presenting as a gastric outlet obstruction.Am J Gastroenterol.2001;12:34753477.
  2. Walker Q,Bious M,Tiver KW, et al.Breast cancer masquerading as primary gastric carcinoma.Aust N Z J Surg.1986;56:398399.
  3. Taal BG,Hartog FC,Steinmetz R, et al.The spectrum of gastrointestinal metastases of breast carcinoma: stomach.Gastrointest Endosc.1992;38:130135.
  4. Awan A,Johnston DE,Jamal MM.Gastric outlet obstruction with benign endoscopic biopsy should be further explored for malignancy.Gastrointest Endosc.1998;48:497502.
  5. Kwee RM,Kwee TC.The accuracy of endoscopic ultrasonography in differentiating mucosal from deeper gastric cancer.Am J Gastroenterol.2008;103:18011809.
  6. Shimizu K,Ito K,Matsunaga N, et al.Diagnosis of gastric cancer with MDCT using the water filling method and multiplanar reconstruction: CT histologic correlation.Am J Roentgenol.2005;185:11521158.
References
  1. Weber CA,Decker RA,Puggioni A, et al.Previously undiagnosed infiltrating lobular carcinoma of the breast presenting as a gastric outlet obstruction.Am J Gastroenterol.2001;12:34753477.
  2. Walker Q,Bious M,Tiver KW, et al.Breast cancer masquerading as primary gastric carcinoma.Aust N Z J Surg.1986;56:398399.
  3. Taal BG,Hartog FC,Steinmetz R, et al.The spectrum of gastrointestinal metastases of breast carcinoma: stomach.Gastrointest Endosc.1992;38:130135.
  4. Awan A,Johnston DE,Jamal MM.Gastric outlet obstruction with benign endoscopic biopsy should be further explored for malignancy.Gastrointest Endosc.1998;48:497502.
  5. Kwee RM,Kwee TC.The accuracy of endoscopic ultrasonography in differentiating mucosal from deeper gastric cancer.Am J Gastroenterol.2008;103:18011809.
  6. Shimizu K,Ito K,Matsunaga N, et al.Diagnosis of gastric cancer with MDCT using the water filling method and multiplanar reconstruction: CT histologic correlation.Am J Roentgenol.2005;185:11521158.
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Gastric outlet obstruction as the presenting manifestation of metastatic lobular breast carcinoma
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Patient Satisfaction—Hospitalists

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Cognitive interview techniques reveal specific behaviors and issues that could affect patient satisfaction relative to hospitalists

Patient satisfaction is an important issue for hospitals, as it may affect the decision to seek care at one institution over another, but it may soon have direct implications for hospital reimbursement with the recent proposals for Value Based Purchasing (VBP) models by the Centers for Medicare and Medicaid Services (CMS). Up to 5% of inpatient Medicare reimbursement would be linked to performance measures, 40% of which could come from percentile outcomes on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) alone.1 HCAHPS scores are now available for individual hospitals at the Hospital Compare website maintained by CMS (http://www.hospitalcompare.hhs.gov). Hospitalists will likely be held accountable by administrators for poor performance on the survey.

While the information garnered from the HCAHPS provides an external perception of hospital quality, the questions are broad and do not identify specific reasons for reduced satisfaction. Many have suggested that the incorporation of surveys already administered at hospitals may be required for successful HCAHPS administration in order to overcome the limitations inherent in its design.2

In order to identify explanatory factors for low HCAHPS scores, we decided to incorporate a technique known as a cognitive interview (CI). The CI is widely used as an evaluative tool for survey questions because of its ability to allow the interviewer to discern the processes that lead to responses.3 Up to this point, the focus of this CI method has been on the ability of the subject to comprehend and answer the questions.4 However, when a CI subject is answering a question, there is a large amount of information presented to the interviewer about the topic that is typically regarded as supplementary because of the focus on these specific issues.5 This study reports the supplemental information that may provide insight as to why patients answered as they did. Our goal was to gain further understanding of factors that may underlie HCAHPS responses.

Materials and Methods

Overview

The premise behind every step in the development and implementation of the interview process was to increase the comfort level of the patients with the process as well as take as much of the cognitive burden off of the patients as possible while maintaining the integrity of the questioning.

The study was developed and conducted in May and June 2008. The duration of the study and number of participants were based on time constraints on personnel and limited funding for the study.

Development of the Interview

We used the HCAHPS questions as a starting point to launch the development of our interview. Because the purpose of this study was to generate hypotheses regarding issues affecting patient satisfaction, we used a loose approach to questioning that gave the interview subject a greater degree of freedom with their answers than in a measurement study. This freedom of response eliminated the need to take minor comprehension issues into account, which would have been cause for concern using a standard survey.5

We focused on what the patients thought or felt in order to avoid making them feel overburdened for factual recall. There were some questions for which this was not possible (eg, the questions about medication). After the questions were reworded, their comprehension level was confirmed to be appropriate for the local community (grade 3‐6) using the Flesch Reading Ease and Flesch‐Kincaid grade level equations (data not shown).

The questions were then grouped from least cognitively intense to most cognitively intense surrounding any particular issue, which was generally least specific to most specific. This process of ordering questions has been shown to increase the accuracy of self reports,6 which is advantageous in our situation because it increases the amount of potentially useful information the patients include in their perception analysis. Every major section change started with at least 1 general question without specific aim in order to facilitate free response (full interview is included as Appendix 1).

For classic quantitative analysis, the 4 HCAHPS categories (always, usually, sometimes, never) were presented for most of the questions. They are reported in this work as Top Box, (ie, always), or Not Top Box (any other response). Top Box responses are the ratings most widely reported in HCAHPS surveys, and this dichotomy makes it easier to code and review answers. However, when we felt that quantitatively we wanted a more superficial inquiry, a 2‐category yes/no system was used. The interviews were also designed to be less than 1 hour in length, which has been shown to be appropriate in other kinds of cognitive studies in the medical field.7

The questions in the About You section of the HCAHPS were largely excluded with the exception of the education demographic question (for a full HCAHPS survey see Goldstein et al.).2 The community that we studied is quite homogeneously Caucasian and non‐Hispanic. Education level is the only remaining HCAHPS demographic variable, and our subjects had education levels comparable to those reported in HCAHPS for this hospital. Our data are primarily qualitative and were not weighted as the HCAHPS data were.8

Conducting the Interviews

The interviews were conducted by the principal researcher (A.B.) (the use of a single interviewer eliminates potential bias between interviewers on interview delivery) on medical and surgical inpatients in general inpatient and intensive care units who were at least 18 years old, not suffering significant discomfort, and able to comprehend questions and provide meaningful answers. The nurse managers on the inpatient units were asked to identify patients who fit these criteria. Of the 50 patients typically present on medical/surgical services, about 10 would be suitable for interview. The researcher would then select up to 5 patients each weekday from those actually present in their rooms, explain that he was doing research for the hospital, and ask if the patient would participate. The range of the number of selected patients depended upon the willingness of the available patients to participate and the amount of time it took to conduct the interviews. If the patient accepted, the researcher then emphasized that participation was completely optional and would have no effect on the medical care the patient would receive, that the identity of the patient would never be shared, and that the information provided would be used internally and possibly for anonymous external reporting. The researcher then asked if the patient would still like to continue. This protocol was approved by the hospital Institutional Review Board.

The patients were then instructed to think aloud as they answered questions and given Think Aloud Training using established methods.9 There were 4 instructions or questions in the training that were used sequentially, as follows: (1) Try to picture the place where you live, and think about how many windows there are in that place. As you count up the windows, tell me what you are seeing and thinking about;9 (2) I want you to think about the last school you personally went to and studied at. Think about yourself walking into the main building. Tell me what you are seeing and thinking about as you walk through the doors; (3) Now I want you to think about your favorite food. Can you tell me about it? and (4) I want you to think about a pot of flowers. Tell me about what you think and see as you walk up and smell the flowers. While the patients were thinking, the interviewer followed up with spontaneous general verbal probes (eg, Can you tell me what you are thinking?). After the patients were responding adequately to the training instructions, we proceeded to the interview.

The interviews were conducted by asking the patients the designed questions using a Think Aloud CI technique and spontaneous verbal probing in the instance of a seeming lack of information, inconsistency in information offered by the patient, indicative body language (eg, seeming uncomfortable), hesitation indicating the patient was not rendering all of the information that he or she was thinking, or if a common specific issue had been previously identified. Because we were looking for issues adversely affecting patient satisfaction, we decided to optimize our effort by focusing on questions to which patients responded negatively or hesitantly. However, as time permitted we also gave attention to questions patients answered immediately and positively.

Data Collection

Data were collected on interview sheets containing the questions asked to the patients with the Top Box/Not Top Box coding method described above, as well as a section for qualitative data gleaned from the cognitive elements of the interview. Recordings and full transcriptions were not performed to avoid raising patient concerns, which held the potential to negatively impact participation. All records of participant names were kept solely by the principal investigator to avoid duplicate interviews and were destroyed at the conclusion of the interview process.

Analysis

The data was collected from the interview sheets and then compiled into a spreadsheet. The classic quantitative data was compiled into raw totals and percentages. The qualitative data from the cognitive portion was then considered both separately, based on the question, and as a group. Both authors reviewed the data and identified significant items in both the qualitative and quantitative data, based on their ability to provide useful hypotheses regarding higher or lower levels of satisfaction. Also, because of the nature of the CI, useful information can come from as few as 1 respondent,9 so potentially useful individual comments were pulled out of the qualitative data as well.

It is important to note that this study is not a means of measuring patient satisfaction, but rather a means of determining elements and specific issues affecting patient satisfaction. Answers in this study cannot be considered equivalent to answers on the HCAHPS or any other patient satisfaction survey.

Results

Response Rate

There were 57 eligible patients who were asked to participate in this study. Availability of the patients identified as eligible limited the number of participants. Of the 57, 50 accepted. Of the 50 who accepted, 1 was rejected because the patient had only been at the hospital for a few hours and had not seen a physician yet, and 5 more opted to stop before the interview was completed. The 1 that was rejected was not included in the analysis, but the 5 that were left incomplete were included for the questions that had been answered.

Responsiveness to Questions

Patients were asked Did you get all of your questions answered? (Table 1). The responsiveness to questions by our staff was largely satisfactory, but the qualitative data yielded an interesting finding in that 3 of the 6 patients who rendered Not Top Box answers cited problems with question delivery. One patient said, The doctor was just in and out, and I didn't have time to ask questions. Another said, I think of questions 20 minutes after the doctor leaves. In other parts of the interview, 2 more patients mentioned not having questions ready when their attending physician was there, and then not being able to ask them, 1 of them saying, It was my own fault (when I did not get information I wanted) because I didn't ask all of the questions.

Standardized Responses to Questions
Questions Asked of PatientsResponsesNumberQualitative Subtheme
  • NOTE: These are the responses to the questions based on the preestablished coding categories and with qualitative subthemes. There are also examples given with each of the qualitative subthemes. There was no qualitative subtheme or example given for the question Did anyone tell you what [the new medication] was before they gave it to you? because none could be gathered from the data.

Did you get all of your questions answered?Always41Difficulty with question delivery: (eg, I think of questions 20 minutes after the doctor leaves.)
 Never, sometimes, usually6 
 Total47 
Did anyone tell you what [the new medicine] was before they gave it to you?Yes29 
 No2 
 Total31 
Did anyone tell you about any side effects of the medicine?Yes17Lack of communication regarding medicines with few major side effects: (eg, Tylenol or Advil)
 No13 
 Total31 
Do you feel the doctors spend enough time with you?Yes37For example: (My doctor) didn't consult me and he didn't inform me.
 No8 
 Total45 
Do you feel the doctors know you as a person?Yes29Physician behaviors may influence: (eg, He treats me as a person.)
 No16 
 Total45 
Do you feel the doctors treat you with respect?Always40Physician behaviors may influence: (eg, I feel talked down too, like I can't handle the answers.)
 Never, sometimes, usually6 
 Total46 
Do you think the doctors listen carefully to you?Always33For example: He had so much on his mind.
 Never, sometimes, usually13 
 Total46 

Communication Regarding Medication

There are 2 important questions regarding this issue. Patients who reported taking new medication during their current hospital stay were asked, Did anyone tell you what [the new medication] was for before they gave it to you? and then, Did anyone tell you about any side effects of the medicine? (Table 1). From this we can see that, generally, patients are informed about new medications, but there seems to be a lack of informing the patients regarding side effects of new medications. Interestingly, 8 of the patients who reported that they were not told about side effects raised concerns about medications that have few major side effects. It is important to note that this issue was not initially known and the kind of medication the patients were given was seldom freely offered. We began specifically probing for it after a patient offered the information without prompting, so the actual number of these instances could be much higher.

Perception of Time Spent

We asked our subjects Do you feel the doctors spend enough time with you? (Table 1). The sensitivity of the quantitative data was decreased by using a 2‐category approach, but frequency estimation about an issue of time seemed an unnecessarily awkward approach considering that the more valuable information comes from the qualitative section of the interview.

The perception of enough time spent by physicians was not felt by all of the subjects. Three of the patients who answered No had mentioned a specific need that was not met, all 3 of which were issues with information and communication. The hospitalist changed all of my medicationshe didn't consult me, and he didn't inform me, said 1 patient. Another said, I don't really know who my doctor is, in reference to his attending hospitalist. There was another patient who answered No who felt that the physicians were just mechanically trying to treat his condition and discharge him as soon as possible. I think the hospital is getting the doctors to push people outthey need the beds. Also, 2 patients who answered Yes acknowledged that the doctors spent all the time they needed to for the patients' situations, and 1 patient who answered Yes mentioned a specific personal accommodation the physician made, specifically that the physician prays with the patient.

Personal Connections

This question was, Do you feel the doctors know you as a person? and was included to attempt to probe into the depth of the personal connections formed by our physicians. The standard quantitative data (Table 1) shows there were a significant number of patients who did not feel their physicians knew them as a person. Six of the patients who answered No said they felt the physicians were just doing their job. What else are you besides a body and a diagnosis? 1 patient asked. They are doing their job, said another. Six patients who answered Yes cited how their physicians acted toward them as the reason. One patient responded, One doctor carries on extra conversation with me. He knows me as a person. Another patient plainly said, He treats me as a person. Yet another said, They seem to respect my situation and my need for their services.

Nonclinical Competency

Two questions elicited significant information relevant to hospitalists on this issue, the first being Do you feel the doctors treat you with respect? and the second being Do you think the doctors listen carefully to you? (Table 1).

The standard quantitative data for the first question shows that, generally, our patients felt as though the doctors were treating them with respect. Interestingly, the qualitative portion of the study shows that all 6 patients who rendered Not Top Box answers mentioned either being talked down to or not being responded to by their physicians. The hospitalist treated me as I expected, as [a generic 50‐year‐old], remarked 1 patient about her hospitalist, by whom she felt ignored. I feel talked down too, like I can't handle the answers. I feel like I don't always get the full truth, said another patient regarding her physician telling her about her medical condition. It seems like the doctor put me off, said a third patient regarding his physician's willingness to treat him.

The quantitative data for the second question shows much weaker performance with regard to the perception of the doctors listening to the patients. The qualitative portion of the study shows that 3 patients mentioned how much their physicians had on their minds. One patient said, He was thinking so many things at the same time, and another plainly said, He had so much on his mind. Four patients mentioned not feeling responded to by their physicians. A patient commented, I would say something (to the doctor), and then my dad would [sic] re‐say it, and the doctor would respond when my dad said it, but not when I did. Another patient responded, I would ask (the doctors) to do something, and they wouldn't do it.

Discussion

Because of the limitations inherent in typical survey measures of investigation, we employed a CI technique. The objective was to generate hypotheses as to why patients may report reduced satisfaction with various aspects of hospitalization. The data set gleaned from this study was sizable, and held information pertinent to all parts of the hospital. The results reported in this article are focused on hospitalists.

The quantity of time hospitalists spend with patients may not be as important to the patients as the quality of interaction. Other studies have shown similar results, illustrating that the key factor in a patients' opinion of a visit with a physician was the perception of being taken seriously.10 The perception of being talked down to (as noted by Levy11) and the perception of not being responded to or focused on are the key negative factors for patients. By interacting with patients in a way that makes them feel valued, focused on, and responded to, physicians may improve patient satisfaction without requiring increased amounts of time spent with them.

Patient complaints that physicians do not respond to them may partially reflect inability to ask all of their questions. Hospitals may wish to consider methods to improve the ability of the patients to ask questions in the small amount of time available for physicians to talk with them (eg, placing notebooks by patients' bedsides and repeatedly encouraging them to write their questions down). This concept has also been endorsed as a means of improving the quality of care and reducing medical mistakes.12

Hospitalists and other physicians may positively impact the communication about medication issues by establishing a protocol for communicating major as well as minor side effects or even the lack of side effects of medication to patients. The challenge lies in determining the level of incidence that is significant enough (eg, 10%, 5%, or 1%) to warrant explaining minor side effects.

The findings of this study are limited by its small size, qualitative nature, nonrepresentative population, and loose approach to questioning. The patient responses were transcribed manually by the interviewer, leaving the possibility that some responses were not accurately recorded. Our survey instrument is not validated, and the results may not generalize to other settings. Instead of taking these findings as conclusive, we present them as suggestions for improvement that may be validated by further research.

Acknowledgements

The authors Tom Quinn and Toni Murdough for their contributions in developing the survey instrument.

Appendix

Appendix 1. Interview questions in the order they were presented to the patients

Background Questions

 

  • What is your name?

  • About how many hospital visits have you had in the last 6 months?

  • What is the highest grade or level of school that you have completed?

 

General Hospital Questions

 

  • What are the most important things you want in a hospital?

  • What do you think about the reputation of the hospital?

  • How has your stay here at the hospital been?

  • While you've been here, have you had any pain? Were you given any pain medicine? How well was your pain controlled? (The first two questions were for screening, the last question was for coding)

  • During this hospital stay, were you given any medicine that you had not taken before? Did anyone tell you what it was for before they gave it to you? Did anyone tell you about any side effects of the medicine? (First question for screening, last two for coding)

  • Do you think your room and bathroom are clean? Has it been that way the whole time you've been here?

  • Do you think this hospital has all the equipment needed for your treatment?

  • Do you feel you've been able to rest while you've been here?

  • Have you ever pressed the call button? How fast did the help come? Did it come as soon as you wanted it? (The first question was for screening, the second for insight, the third for coding)

  • While you were here at the hospital, did you ever need help getting to the bathroom or using a bedpan? How fast did you get help? Did help come as soon as you wanted it? (The first question was for screening, the second for insight, the third for coding)

  • Do you feel the staff paid attention to you?

  • Did you get all of your questions answered?

  • Have you had any problems here at the hospital? Did anybody help you with it? (The first question was for screening, the second for coding)

 

Nursing Staff Questions

 

  • What do you think about your nurses?

  • Do you feel the nurses treat you with respect?

  • Do you think the nurses listen carefully to you?

  • Did the nurses explain things in a way you could understand?

  • Did you get all the information you wanted from the nurses about your tests or treatments?

  • Do the nurses make you feel calm and safe while you are here at the hospital?

  • Do you feel the nurses know you as a person?

  • Do the nurses seem interested in doing things for you?

  • Do you feel the nurses spend enough time with you?

  • Have you ever had a change of nurses while you were here? Do you feel like the new nurse knew what the other nurse knew about you? Did the new nurse seem to know your situation? (The first question is for screening, the next two for coding)

  • What do you feel about the skill of your nurses here at the hospital?

 

Physician Staff Questions

 

  • What do you think about your doctors?

  • Do you feel the doctors treat you with respect?

  • Do you think the doctors listen carefully to you?

  • Did the doctors explain things in a way you could understand?

  • Did you get all the information you wanted from the doctors about your tests or treatments?

  • Do the doctors make you feel calm and safe while you are here at the hospital?

  • Do you feel the doctors know you as a person?

  • Did the doctors seem interested in doing things for you?

  • Do you feel the doctors spend enough time with you?

  • Have you ever been switched between doctors here at the hospital? Do you feel like the new doctor knew what the other doctor knew about you? Did the new doctor seem to know your situation? (The first question was for screening, the next two for coding)

  • Were you ever switched from your primary doctor to a doctor here at the hospital? Do you feel like the new doctor knew what your primary doctor knew about your medical situation? (The first question was for screening, the second question for coding)

  • What do you feel about the skill of your doctors here at the hospital?

 

Cumulative Hospital Questions

 

  • Did you see any hospital staff disagree with each other about your medical treatment?

  • On a scale of 1‐10, how would you rate the hospital?

  • Is there anything that we haven't talked about that would keep you from rating us a 10?

  • Would you recommend this hospital to your friends and family?

  • What can we do to make this the best hospital around?

 

Article PDF
Issue
Journal of Hospital Medicine - 4(9)
Page Number
E1-E6
Legacy Keywords
cognitive interview, HCAHPS, hospitalist, patient satisfaction, pay for performance, quality improvement, value‐based purchasing
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Article PDF
Article PDF

Patient satisfaction is an important issue for hospitals, as it may affect the decision to seek care at one institution over another, but it may soon have direct implications for hospital reimbursement with the recent proposals for Value Based Purchasing (VBP) models by the Centers for Medicare and Medicaid Services (CMS). Up to 5% of inpatient Medicare reimbursement would be linked to performance measures, 40% of which could come from percentile outcomes on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) alone.1 HCAHPS scores are now available for individual hospitals at the Hospital Compare website maintained by CMS (http://www.hospitalcompare.hhs.gov). Hospitalists will likely be held accountable by administrators for poor performance on the survey.

While the information garnered from the HCAHPS provides an external perception of hospital quality, the questions are broad and do not identify specific reasons for reduced satisfaction. Many have suggested that the incorporation of surveys already administered at hospitals may be required for successful HCAHPS administration in order to overcome the limitations inherent in its design.2

In order to identify explanatory factors for low HCAHPS scores, we decided to incorporate a technique known as a cognitive interview (CI). The CI is widely used as an evaluative tool for survey questions because of its ability to allow the interviewer to discern the processes that lead to responses.3 Up to this point, the focus of this CI method has been on the ability of the subject to comprehend and answer the questions.4 However, when a CI subject is answering a question, there is a large amount of information presented to the interviewer about the topic that is typically regarded as supplementary because of the focus on these specific issues.5 This study reports the supplemental information that may provide insight as to why patients answered as they did. Our goal was to gain further understanding of factors that may underlie HCAHPS responses.

Materials and Methods

Overview

The premise behind every step in the development and implementation of the interview process was to increase the comfort level of the patients with the process as well as take as much of the cognitive burden off of the patients as possible while maintaining the integrity of the questioning.

The study was developed and conducted in May and June 2008. The duration of the study and number of participants were based on time constraints on personnel and limited funding for the study.

Development of the Interview

We used the HCAHPS questions as a starting point to launch the development of our interview. Because the purpose of this study was to generate hypotheses regarding issues affecting patient satisfaction, we used a loose approach to questioning that gave the interview subject a greater degree of freedom with their answers than in a measurement study. This freedom of response eliminated the need to take minor comprehension issues into account, which would have been cause for concern using a standard survey.5

We focused on what the patients thought or felt in order to avoid making them feel overburdened for factual recall. There were some questions for which this was not possible (eg, the questions about medication). After the questions were reworded, their comprehension level was confirmed to be appropriate for the local community (grade 3‐6) using the Flesch Reading Ease and Flesch‐Kincaid grade level equations (data not shown).

The questions were then grouped from least cognitively intense to most cognitively intense surrounding any particular issue, which was generally least specific to most specific. This process of ordering questions has been shown to increase the accuracy of self reports,6 which is advantageous in our situation because it increases the amount of potentially useful information the patients include in their perception analysis. Every major section change started with at least 1 general question without specific aim in order to facilitate free response (full interview is included as Appendix 1).

For classic quantitative analysis, the 4 HCAHPS categories (always, usually, sometimes, never) were presented for most of the questions. They are reported in this work as Top Box, (ie, always), or Not Top Box (any other response). Top Box responses are the ratings most widely reported in HCAHPS surveys, and this dichotomy makes it easier to code and review answers. However, when we felt that quantitatively we wanted a more superficial inquiry, a 2‐category yes/no system was used. The interviews were also designed to be less than 1 hour in length, which has been shown to be appropriate in other kinds of cognitive studies in the medical field.7

The questions in the About You section of the HCAHPS were largely excluded with the exception of the education demographic question (for a full HCAHPS survey see Goldstein et al.).2 The community that we studied is quite homogeneously Caucasian and non‐Hispanic. Education level is the only remaining HCAHPS demographic variable, and our subjects had education levels comparable to those reported in HCAHPS for this hospital. Our data are primarily qualitative and were not weighted as the HCAHPS data were.8

Conducting the Interviews

The interviews were conducted by the principal researcher (A.B.) (the use of a single interviewer eliminates potential bias between interviewers on interview delivery) on medical and surgical inpatients in general inpatient and intensive care units who were at least 18 years old, not suffering significant discomfort, and able to comprehend questions and provide meaningful answers. The nurse managers on the inpatient units were asked to identify patients who fit these criteria. Of the 50 patients typically present on medical/surgical services, about 10 would be suitable for interview. The researcher would then select up to 5 patients each weekday from those actually present in their rooms, explain that he was doing research for the hospital, and ask if the patient would participate. The range of the number of selected patients depended upon the willingness of the available patients to participate and the amount of time it took to conduct the interviews. If the patient accepted, the researcher then emphasized that participation was completely optional and would have no effect on the medical care the patient would receive, that the identity of the patient would never be shared, and that the information provided would be used internally and possibly for anonymous external reporting. The researcher then asked if the patient would still like to continue. This protocol was approved by the hospital Institutional Review Board.

The patients were then instructed to think aloud as they answered questions and given Think Aloud Training using established methods.9 There were 4 instructions or questions in the training that were used sequentially, as follows: (1) Try to picture the place where you live, and think about how many windows there are in that place. As you count up the windows, tell me what you are seeing and thinking about;9 (2) I want you to think about the last school you personally went to and studied at. Think about yourself walking into the main building. Tell me what you are seeing and thinking about as you walk through the doors; (3) Now I want you to think about your favorite food. Can you tell me about it? and (4) I want you to think about a pot of flowers. Tell me about what you think and see as you walk up and smell the flowers. While the patients were thinking, the interviewer followed up with spontaneous general verbal probes (eg, Can you tell me what you are thinking?). After the patients were responding adequately to the training instructions, we proceeded to the interview.

The interviews were conducted by asking the patients the designed questions using a Think Aloud CI technique and spontaneous verbal probing in the instance of a seeming lack of information, inconsistency in information offered by the patient, indicative body language (eg, seeming uncomfortable), hesitation indicating the patient was not rendering all of the information that he or she was thinking, or if a common specific issue had been previously identified. Because we were looking for issues adversely affecting patient satisfaction, we decided to optimize our effort by focusing on questions to which patients responded negatively or hesitantly. However, as time permitted we also gave attention to questions patients answered immediately and positively.

Data Collection

Data were collected on interview sheets containing the questions asked to the patients with the Top Box/Not Top Box coding method described above, as well as a section for qualitative data gleaned from the cognitive elements of the interview. Recordings and full transcriptions were not performed to avoid raising patient concerns, which held the potential to negatively impact participation. All records of participant names were kept solely by the principal investigator to avoid duplicate interviews and were destroyed at the conclusion of the interview process.

Analysis

The data was collected from the interview sheets and then compiled into a spreadsheet. The classic quantitative data was compiled into raw totals and percentages. The qualitative data from the cognitive portion was then considered both separately, based on the question, and as a group. Both authors reviewed the data and identified significant items in both the qualitative and quantitative data, based on their ability to provide useful hypotheses regarding higher or lower levels of satisfaction. Also, because of the nature of the CI, useful information can come from as few as 1 respondent,9 so potentially useful individual comments were pulled out of the qualitative data as well.

It is important to note that this study is not a means of measuring patient satisfaction, but rather a means of determining elements and specific issues affecting patient satisfaction. Answers in this study cannot be considered equivalent to answers on the HCAHPS or any other patient satisfaction survey.

Results

Response Rate

There were 57 eligible patients who were asked to participate in this study. Availability of the patients identified as eligible limited the number of participants. Of the 57, 50 accepted. Of the 50 who accepted, 1 was rejected because the patient had only been at the hospital for a few hours and had not seen a physician yet, and 5 more opted to stop before the interview was completed. The 1 that was rejected was not included in the analysis, but the 5 that were left incomplete were included for the questions that had been answered.

Responsiveness to Questions

Patients were asked Did you get all of your questions answered? (Table 1). The responsiveness to questions by our staff was largely satisfactory, but the qualitative data yielded an interesting finding in that 3 of the 6 patients who rendered Not Top Box answers cited problems with question delivery. One patient said, The doctor was just in and out, and I didn't have time to ask questions. Another said, I think of questions 20 minutes after the doctor leaves. In other parts of the interview, 2 more patients mentioned not having questions ready when their attending physician was there, and then not being able to ask them, 1 of them saying, It was my own fault (when I did not get information I wanted) because I didn't ask all of the questions.

Standardized Responses to Questions
Questions Asked of PatientsResponsesNumberQualitative Subtheme
  • NOTE: These are the responses to the questions based on the preestablished coding categories and with qualitative subthemes. There are also examples given with each of the qualitative subthemes. There was no qualitative subtheme or example given for the question Did anyone tell you what [the new medication] was before they gave it to you? because none could be gathered from the data.

Did you get all of your questions answered?Always41Difficulty with question delivery: (eg, I think of questions 20 minutes after the doctor leaves.)
 Never, sometimes, usually6 
 Total47 
Did anyone tell you what [the new medicine] was before they gave it to you?Yes29 
 No2 
 Total31 
Did anyone tell you about any side effects of the medicine?Yes17Lack of communication regarding medicines with few major side effects: (eg, Tylenol or Advil)
 No13 
 Total31 
Do you feel the doctors spend enough time with you?Yes37For example: (My doctor) didn't consult me and he didn't inform me.
 No8 
 Total45 
Do you feel the doctors know you as a person?Yes29Physician behaviors may influence: (eg, He treats me as a person.)
 No16 
 Total45 
Do you feel the doctors treat you with respect?Always40Physician behaviors may influence: (eg, I feel talked down too, like I can't handle the answers.)
 Never, sometimes, usually6 
 Total46 
Do you think the doctors listen carefully to you?Always33For example: He had so much on his mind.
 Never, sometimes, usually13 
 Total46 

Communication Regarding Medication

There are 2 important questions regarding this issue. Patients who reported taking new medication during their current hospital stay were asked, Did anyone tell you what [the new medication] was for before they gave it to you? and then, Did anyone tell you about any side effects of the medicine? (Table 1). From this we can see that, generally, patients are informed about new medications, but there seems to be a lack of informing the patients regarding side effects of new medications. Interestingly, 8 of the patients who reported that they were not told about side effects raised concerns about medications that have few major side effects. It is important to note that this issue was not initially known and the kind of medication the patients were given was seldom freely offered. We began specifically probing for it after a patient offered the information without prompting, so the actual number of these instances could be much higher.

Perception of Time Spent

We asked our subjects Do you feel the doctors spend enough time with you? (Table 1). The sensitivity of the quantitative data was decreased by using a 2‐category approach, but frequency estimation about an issue of time seemed an unnecessarily awkward approach considering that the more valuable information comes from the qualitative section of the interview.

The perception of enough time spent by physicians was not felt by all of the subjects. Three of the patients who answered No had mentioned a specific need that was not met, all 3 of which were issues with information and communication. The hospitalist changed all of my medicationshe didn't consult me, and he didn't inform me, said 1 patient. Another said, I don't really know who my doctor is, in reference to his attending hospitalist. There was another patient who answered No who felt that the physicians were just mechanically trying to treat his condition and discharge him as soon as possible. I think the hospital is getting the doctors to push people outthey need the beds. Also, 2 patients who answered Yes acknowledged that the doctors spent all the time they needed to for the patients' situations, and 1 patient who answered Yes mentioned a specific personal accommodation the physician made, specifically that the physician prays with the patient.

Personal Connections

This question was, Do you feel the doctors know you as a person? and was included to attempt to probe into the depth of the personal connections formed by our physicians. The standard quantitative data (Table 1) shows there were a significant number of patients who did not feel their physicians knew them as a person. Six of the patients who answered No said they felt the physicians were just doing their job. What else are you besides a body and a diagnosis? 1 patient asked. They are doing their job, said another. Six patients who answered Yes cited how their physicians acted toward them as the reason. One patient responded, One doctor carries on extra conversation with me. He knows me as a person. Another patient plainly said, He treats me as a person. Yet another said, They seem to respect my situation and my need for their services.

Nonclinical Competency

Two questions elicited significant information relevant to hospitalists on this issue, the first being Do you feel the doctors treat you with respect? and the second being Do you think the doctors listen carefully to you? (Table 1).

The standard quantitative data for the first question shows that, generally, our patients felt as though the doctors were treating them with respect. Interestingly, the qualitative portion of the study shows that all 6 patients who rendered Not Top Box answers mentioned either being talked down to or not being responded to by their physicians. The hospitalist treated me as I expected, as [a generic 50‐year‐old], remarked 1 patient about her hospitalist, by whom she felt ignored. I feel talked down too, like I can't handle the answers. I feel like I don't always get the full truth, said another patient regarding her physician telling her about her medical condition. It seems like the doctor put me off, said a third patient regarding his physician's willingness to treat him.

The quantitative data for the second question shows much weaker performance with regard to the perception of the doctors listening to the patients. The qualitative portion of the study shows that 3 patients mentioned how much their physicians had on their minds. One patient said, He was thinking so many things at the same time, and another plainly said, He had so much on his mind. Four patients mentioned not feeling responded to by their physicians. A patient commented, I would say something (to the doctor), and then my dad would [sic] re‐say it, and the doctor would respond when my dad said it, but not when I did. Another patient responded, I would ask (the doctors) to do something, and they wouldn't do it.

Discussion

Because of the limitations inherent in typical survey measures of investigation, we employed a CI technique. The objective was to generate hypotheses as to why patients may report reduced satisfaction with various aspects of hospitalization. The data set gleaned from this study was sizable, and held information pertinent to all parts of the hospital. The results reported in this article are focused on hospitalists.

The quantity of time hospitalists spend with patients may not be as important to the patients as the quality of interaction. Other studies have shown similar results, illustrating that the key factor in a patients' opinion of a visit with a physician was the perception of being taken seriously.10 The perception of being talked down to (as noted by Levy11) and the perception of not being responded to or focused on are the key negative factors for patients. By interacting with patients in a way that makes them feel valued, focused on, and responded to, physicians may improve patient satisfaction without requiring increased amounts of time spent with them.

Patient complaints that physicians do not respond to them may partially reflect inability to ask all of their questions. Hospitals may wish to consider methods to improve the ability of the patients to ask questions in the small amount of time available for physicians to talk with them (eg, placing notebooks by patients' bedsides and repeatedly encouraging them to write their questions down). This concept has also been endorsed as a means of improving the quality of care and reducing medical mistakes.12

Hospitalists and other physicians may positively impact the communication about medication issues by establishing a protocol for communicating major as well as minor side effects or even the lack of side effects of medication to patients. The challenge lies in determining the level of incidence that is significant enough (eg, 10%, 5%, or 1%) to warrant explaining minor side effects.

The findings of this study are limited by its small size, qualitative nature, nonrepresentative population, and loose approach to questioning. The patient responses were transcribed manually by the interviewer, leaving the possibility that some responses were not accurately recorded. Our survey instrument is not validated, and the results may not generalize to other settings. Instead of taking these findings as conclusive, we present them as suggestions for improvement that may be validated by further research.

Acknowledgements

The authors Tom Quinn and Toni Murdough for their contributions in developing the survey instrument.

Appendix

Appendix 1. Interview questions in the order they were presented to the patients

Background Questions

 

  • What is your name?

  • About how many hospital visits have you had in the last 6 months?

  • What is the highest grade or level of school that you have completed?

 

General Hospital Questions

 

  • What are the most important things you want in a hospital?

  • What do you think about the reputation of the hospital?

  • How has your stay here at the hospital been?

  • While you've been here, have you had any pain? Were you given any pain medicine? How well was your pain controlled? (The first two questions were for screening, the last question was for coding)

  • During this hospital stay, were you given any medicine that you had not taken before? Did anyone tell you what it was for before they gave it to you? Did anyone tell you about any side effects of the medicine? (First question for screening, last two for coding)

  • Do you think your room and bathroom are clean? Has it been that way the whole time you've been here?

  • Do you think this hospital has all the equipment needed for your treatment?

  • Do you feel you've been able to rest while you've been here?

  • Have you ever pressed the call button? How fast did the help come? Did it come as soon as you wanted it? (The first question was for screening, the second for insight, the third for coding)

  • While you were here at the hospital, did you ever need help getting to the bathroom or using a bedpan? How fast did you get help? Did help come as soon as you wanted it? (The first question was for screening, the second for insight, the third for coding)

  • Do you feel the staff paid attention to you?

  • Did you get all of your questions answered?

  • Have you had any problems here at the hospital? Did anybody help you with it? (The first question was for screening, the second for coding)

 

Nursing Staff Questions

 

  • What do you think about your nurses?

  • Do you feel the nurses treat you with respect?

  • Do you think the nurses listen carefully to you?

  • Did the nurses explain things in a way you could understand?

  • Did you get all the information you wanted from the nurses about your tests or treatments?

  • Do the nurses make you feel calm and safe while you are here at the hospital?

  • Do you feel the nurses know you as a person?

  • Do the nurses seem interested in doing things for you?

  • Do you feel the nurses spend enough time with you?

  • Have you ever had a change of nurses while you were here? Do you feel like the new nurse knew what the other nurse knew about you? Did the new nurse seem to know your situation? (The first question is for screening, the next two for coding)

  • What do you feel about the skill of your nurses here at the hospital?

 

Physician Staff Questions

 

  • What do you think about your doctors?

  • Do you feel the doctors treat you with respect?

  • Do you think the doctors listen carefully to you?

  • Did the doctors explain things in a way you could understand?

  • Did you get all the information you wanted from the doctors about your tests or treatments?

  • Do the doctors make you feel calm and safe while you are here at the hospital?

  • Do you feel the doctors know you as a person?

  • Did the doctors seem interested in doing things for you?

  • Do you feel the doctors spend enough time with you?

  • Have you ever been switched between doctors here at the hospital? Do you feel like the new doctor knew what the other doctor knew about you? Did the new doctor seem to know your situation? (The first question was for screening, the next two for coding)

  • Were you ever switched from your primary doctor to a doctor here at the hospital? Do you feel like the new doctor knew what your primary doctor knew about your medical situation? (The first question was for screening, the second question for coding)

  • What do you feel about the skill of your doctors here at the hospital?

 

Cumulative Hospital Questions

 

  • Did you see any hospital staff disagree with each other about your medical treatment?

  • On a scale of 1‐10, how would you rate the hospital?

  • Is there anything that we haven't talked about that would keep you from rating us a 10?

  • Would you recommend this hospital to your friends and family?

  • What can we do to make this the best hospital around?

 

Patient satisfaction is an important issue for hospitals, as it may affect the decision to seek care at one institution over another, but it may soon have direct implications for hospital reimbursement with the recent proposals for Value Based Purchasing (VBP) models by the Centers for Medicare and Medicaid Services (CMS). Up to 5% of inpatient Medicare reimbursement would be linked to performance measures, 40% of which could come from percentile outcomes on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) alone.1 HCAHPS scores are now available for individual hospitals at the Hospital Compare website maintained by CMS (http://www.hospitalcompare.hhs.gov). Hospitalists will likely be held accountable by administrators for poor performance on the survey.

While the information garnered from the HCAHPS provides an external perception of hospital quality, the questions are broad and do not identify specific reasons for reduced satisfaction. Many have suggested that the incorporation of surveys already administered at hospitals may be required for successful HCAHPS administration in order to overcome the limitations inherent in its design.2

In order to identify explanatory factors for low HCAHPS scores, we decided to incorporate a technique known as a cognitive interview (CI). The CI is widely used as an evaluative tool for survey questions because of its ability to allow the interviewer to discern the processes that lead to responses.3 Up to this point, the focus of this CI method has been on the ability of the subject to comprehend and answer the questions.4 However, when a CI subject is answering a question, there is a large amount of information presented to the interviewer about the topic that is typically regarded as supplementary because of the focus on these specific issues.5 This study reports the supplemental information that may provide insight as to why patients answered as they did. Our goal was to gain further understanding of factors that may underlie HCAHPS responses.

Materials and Methods

Overview

The premise behind every step in the development and implementation of the interview process was to increase the comfort level of the patients with the process as well as take as much of the cognitive burden off of the patients as possible while maintaining the integrity of the questioning.

The study was developed and conducted in May and June 2008. The duration of the study and number of participants were based on time constraints on personnel and limited funding for the study.

Development of the Interview

We used the HCAHPS questions as a starting point to launch the development of our interview. Because the purpose of this study was to generate hypotheses regarding issues affecting patient satisfaction, we used a loose approach to questioning that gave the interview subject a greater degree of freedom with their answers than in a measurement study. This freedom of response eliminated the need to take minor comprehension issues into account, which would have been cause for concern using a standard survey.5

We focused on what the patients thought or felt in order to avoid making them feel overburdened for factual recall. There were some questions for which this was not possible (eg, the questions about medication). After the questions were reworded, their comprehension level was confirmed to be appropriate for the local community (grade 3‐6) using the Flesch Reading Ease and Flesch‐Kincaid grade level equations (data not shown).

The questions were then grouped from least cognitively intense to most cognitively intense surrounding any particular issue, which was generally least specific to most specific. This process of ordering questions has been shown to increase the accuracy of self reports,6 which is advantageous in our situation because it increases the amount of potentially useful information the patients include in their perception analysis. Every major section change started with at least 1 general question without specific aim in order to facilitate free response (full interview is included as Appendix 1).

For classic quantitative analysis, the 4 HCAHPS categories (always, usually, sometimes, never) were presented for most of the questions. They are reported in this work as Top Box, (ie, always), or Not Top Box (any other response). Top Box responses are the ratings most widely reported in HCAHPS surveys, and this dichotomy makes it easier to code and review answers. However, when we felt that quantitatively we wanted a more superficial inquiry, a 2‐category yes/no system was used. The interviews were also designed to be less than 1 hour in length, which has been shown to be appropriate in other kinds of cognitive studies in the medical field.7

The questions in the About You section of the HCAHPS were largely excluded with the exception of the education demographic question (for a full HCAHPS survey see Goldstein et al.).2 The community that we studied is quite homogeneously Caucasian and non‐Hispanic. Education level is the only remaining HCAHPS demographic variable, and our subjects had education levels comparable to those reported in HCAHPS for this hospital. Our data are primarily qualitative and were not weighted as the HCAHPS data were.8

Conducting the Interviews

The interviews were conducted by the principal researcher (A.B.) (the use of a single interviewer eliminates potential bias between interviewers on interview delivery) on medical and surgical inpatients in general inpatient and intensive care units who were at least 18 years old, not suffering significant discomfort, and able to comprehend questions and provide meaningful answers. The nurse managers on the inpatient units were asked to identify patients who fit these criteria. Of the 50 patients typically present on medical/surgical services, about 10 would be suitable for interview. The researcher would then select up to 5 patients each weekday from those actually present in their rooms, explain that he was doing research for the hospital, and ask if the patient would participate. The range of the number of selected patients depended upon the willingness of the available patients to participate and the amount of time it took to conduct the interviews. If the patient accepted, the researcher then emphasized that participation was completely optional and would have no effect on the medical care the patient would receive, that the identity of the patient would never be shared, and that the information provided would be used internally and possibly for anonymous external reporting. The researcher then asked if the patient would still like to continue. This protocol was approved by the hospital Institutional Review Board.

The patients were then instructed to think aloud as they answered questions and given Think Aloud Training using established methods.9 There were 4 instructions or questions in the training that were used sequentially, as follows: (1) Try to picture the place where you live, and think about how many windows there are in that place. As you count up the windows, tell me what you are seeing and thinking about;9 (2) I want you to think about the last school you personally went to and studied at. Think about yourself walking into the main building. Tell me what you are seeing and thinking about as you walk through the doors; (3) Now I want you to think about your favorite food. Can you tell me about it? and (4) I want you to think about a pot of flowers. Tell me about what you think and see as you walk up and smell the flowers. While the patients were thinking, the interviewer followed up with spontaneous general verbal probes (eg, Can you tell me what you are thinking?). After the patients were responding adequately to the training instructions, we proceeded to the interview.

The interviews were conducted by asking the patients the designed questions using a Think Aloud CI technique and spontaneous verbal probing in the instance of a seeming lack of information, inconsistency in information offered by the patient, indicative body language (eg, seeming uncomfortable), hesitation indicating the patient was not rendering all of the information that he or she was thinking, or if a common specific issue had been previously identified. Because we were looking for issues adversely affecting patient satisfaction, we decided to optimize our effort by focusing on questions to which patients responded negatively or hesitantly. However, as time permitted we also gave attention to questions patients answered immediately and positively.

Data Collection

Data were collected on interview sheets containing the questions asked to the patients with the Top Box/Not Top Box coding method described above, as well as a section for qualitative data gleaned from the cognitive elements of the interview. Recordings and full transcriptions were not performed to avoid raising patient concerns, which held the potential to negatively impact participation. All records of participant names were kept solely by the principal investigator to avoid duplicate interviews and were destroyed at the conclusion of the interview process.

Analysis

The data was collected from the interview sheets and then compiled into a spreadsheet. The classic quantitative data was compiled into raw totals and percentages. The qualitative data from the cognitive portion was then considered both separately, based on the question, and as a group. Both authors reviewed the data and identified significant items in both the qualitative and quantitative data, based on their ability to provide useful hypotheses regarding higher or lower levels of satisfaction. Also, because of the nature of the CI, useful information can come from as few as 1 respondent,9 so potentially useful individual comments were pulled out of the qualitative data as well.

It is important to note that this study is not a means of measuring patient satisfaction, but rather a means of determining elements and specific issues affecting patient satisfaction. Answers in this study cannot be considered equivalent to answers on the HCAHPS or any other patient satisfaction survey.

Results

Response Rate

There were 57 eligible patients who were asked to participate in this study. Availability of the patients identified as eligible limited the number of participants. Of the 57, 50 accepted. Of the 50 who accepted, 1 was rejected because the patient had only been at the hospital for a few hours and had not seen a physician yet, and 5 more opted to stop before the interview was completed. The 1 that was rejected was not included in the analysis, but the 5 that were left incomplete were included for the questions that had been answered.

Responsiveness to Questions

Patients were asked Did you get all of your questions answered? (Table 1). The responsiveness to questions by our staff was largely satisfactory, but the qualitative data yielded an interesting finding in that 3 of the 6 patients who rendered Not Top Box answers cited problems with question delivery. One patient said, The doctor was just in and out, and I didn't have time to ask questions. Another said, I think of questions 20 minutes after the doctor leaves. In other parts of the interview, 2 more patients mentioned not having questions ready when their attending physician was there, and then not being able to ask them, 1 of them saying, It was my own fault (when I did not get information I wanted) because I didn't ask all of the questions.

Standardized Responses to Questions
Questions Asked of PatientsResponsesNumberQualitative Subtheme
  • NOTE: These are the responses to the questions based on the preestablished coding categories and with qualitative subthemes. There are also examples given with each of the qualitative subthemes. There was no qualitative subtheme or example given for the question Did anyone tell you what [the new medication] was before they gave it to you? because none could be gathered from the data.

Did you get all of your questions answered?Always41Difficulty with question delivery: (eg, I think of questions 20 minutes after the doctor leaves.)
 Never, sometimes, usually6 
 Total47 
Did anyone tell you what [the new medicine] was before they gave it to you?Yes29 
 No2 
 Total31 
Did anyone tell you about any side effects of the medicine?Yes17Lack of communication regarding medicines with few major side effects: (eg, Tylenol or Advil)
 No13 
 Total31 
Do you feel the doctors spend enough time with you?Yes37For example: (My doctor) didn't consult me and he didn't inform me.
 No8 
 Total45 
Do you feel the doctors know you as a person?Yes29Physician behaviors may influence: (eg, He treats me as a person.)
 No16 
 Total45 
Do you feel the doctors treat you with respect?Always40Physician behaviors may influence: (eg, I feel talked down too, like I can't handle the answers.)
 Never, sometimes, usually6 
 Total46 
Do you think the doctors listen carefully to you?Always33For example: He had so much on his mind.
 Never, sometimes, usually13 
 Total46 

Communication Regarding Medication

There are 2 important questions regarding this issue. Patients who reported taking new medication during their current hospital stay were asked, Did anyone tell you what [the new medication] was for before they gave it to you? and then, Did anyone tell you about any side effects of the medicine? (Table 1). From this we can see that, generally, patients are informed about new medications, but there seems to be a lack of informing the patients regarding side effects of new medications. Interestingly, 8 of the patients who reported that they were not told about side effects raised concerns about medications that have few major side effects. It is important to note that this issue was not initially known and the kind of medication the patients were given was seldom freely offered. We began specifically probing for it after a patient offered the information without prompting, so the actual number of these instances could be much higher.

Perception of Time Spent

We asked our subjects Do you feel the doctors spend enough time with you? (Table 1). The sensitivity of the quantitative data was decreased by using a 2‐category approach, but frequency estimation about an issue of time seemed an unnecessarily awkward approach considering that the more valuable information comes from the qualitative section of the interview.

The perception of enough time spent by physicians was not felt by all of the subjects. Three of the patients who answered No had mentioned a specific need that was not met, all 3 of which were issues with information and communication. The hospitalist changed all of my medicationshe didn't consult me, and he didn't inform me, said 1 patient. Another said, I don't really know who my doctor is, in reference to his attending hospitalist. There was another patient who answered No who felt that the physicians were just mechanically trying to treat his condition and discharge him as soon as possible. I think the hospital is getting the doctors to push people outthey need the beds. Also, 2 patients who answered Yes acknowledged that the doctors spent all the time they needed to for the patients' situations, and 1 patient who answered Yes mentioned a specific personal accommodation the physician made, specifically that the physician prays with the patient.

Personal Connections

This question was, Do you feel the doctors know you as a person? and was included to attempt to probe into the depth of the personal connections formed by our physicians. The standard quantitative data (Table 1) shows there were a significant number of patients who did not feel their physicians knew them as a person. Six of the patients who answered No said they felt the physicians were just doing their job. What else are you besides a body and a diagnosis? 1 patient asked. They are doing their job, said another. Six patients who answered Yes cited how their physicians acted toward them as the reason. One patient responded, One doctor carries on extra conversation with me. He knows me as a person. Another patient plainly said, He treats me as a person. Yet another said, They seem to respect my situation and my need for their services.

Nonclinical Competency

Two questions elicited significant information relevant to hospitalists on this issue, the first being Do you feel the doctors treat you with respect? and the second being Do you think the doctors listen carefully to you? (Table 1).

The standard quantitative data for the first question shows that, generally, our patients felt as though the doctors were treating them with respect. Interestingly, the qualitative portion of the study shows that all 6 patients who rendered Not Top Box answers mentioned either being talked down to or not being responded to by their physicians. The hospitalist treated me as I expected, as [a generic 50‐year‐old], remarked 1 patient about her hospitalist, by whom she felt ignored. I feel talked down too, like I can't handle the answers. I feel like I don't always get the full truth, said another patient regarding her physician telling her about her medical condition. It seems like the doctor put me off, said a third patient regarding his physician's willingness to treat him.

The quantitative data for the second question shows much weaker performance with regard to the perception of the doctors listening to the patients. The qualitative portion of the study shows that 3 patients mentioned how much their physicians had on their minds. One patient said, He was thinking so many things at the same time, and another plainly said, He had so much on his mind. Four patients mentioned not feeling responded to by their physicians. A patient commented, I would say something (to the doctor), and then my dad would [sic] re‐say it, and the doctor would respond when my dad said it, but not when I did. Another patient responded, I would ask (the doctors) to do something, and they wouldn't do it.

Discussion

Because of the limitations inherent in typical survey measures of investigation, we employed a CI technique. The objective was to generate hypotheses as to why patients may report reduced satisfaction with various aspects of hospitalization. The data set gleaned from this study was sizable, and held information pertinent to all parts of the hospital. The results reported in this article are focused on hospitalists.

The quantity of time hospitalists spend with patients may not be as important to the patients as the quality of interaction. Other studies have shown similar results, illustrating that the key factor in a patients' opinion of a visit with a physician was the perception of being taken seriously.10 The perception of being talked down to (as noted by Levy11) and the perception of not being responded to or focused on are the key negative factors for patients. By interacting with patients in a way that makes them feel valued, focused on, and responded to, physicians may improve patient satisfaction without requiring increased amounts of time spent with them.

Patient complaints that physicians do not respond to them may partially reflect inability to ask all of their questions. Hospitals may wish to consider methods to improve the ability of the patients to ask questions in the small amount of time available for physicians to talk with them (eg, placing notebooks by patients' bedsides and repeatedly encouraging them to write their questions down). This concept has also been endorsed as a means of improving the quality of care and reducing medical mistakes.12

Hospitalists and other physicians may positively impact the communication about medication issues by establishing a protocol for communicating major as well as minor side effects or even the lack of side effects of medication to patients. The challenge lies in determining the level of incidence that is significant enough (eg, 10%, 5%, or 1%) to warrant explaining minor side effects.

The findings of this study are limited by its small size, qualitative nature, nonrepresentative population, and loose approach to questioning. The patient responses were transcribed manually by the interviewer, leaving the possibility that some responses were not accurately recorded. Our survey instrument is not validated, and the results may not generalize to other settings. Instead of taking these findings as conclusive, we present them as suggestions for improvement that may be validated by further research.

Acknowledgements

The authors Tom Quinn and Toni Murdough for their contributions in developing the survey instrument.

Appendix

Appendix 1. Interview questions in the order they were presented to the patients

Background Questions

 

  • What is your name?

  • About how many hospital visits have you had in the last 6 months?

  • What is the highest grade or level of school that you have completed?

 

General Hospital Questions

 

  • What are the most important things you want in a hospital?

  • What do you think about the reputation of the hospital?

  • How has your stay here at the hospital been?

  • While you've been here, have you had any pain? Were you given any pain medicine? How well was your pain controlled? (The first two questions were for screening, the last question was for coding)

  • During this hospital stay, were you given any medicine that you had not taken before? Did anyone tell you what it was for before they gave it to you? Did anyone tell you about any side effects of the medicine? (First question for screening, last two for coding)

  • Do you think your room and bathroom are clean? Has it been that way the whole time you've been here?

  • Do you think this hospital has all the equipment needed for your treatment?

  • Do you feel you've been able to rest while you've been here?

  • Have you ever pressed the call button? How fast did the help come? Did it come as soon as you wanted it? (The first question was for screening, the second for insight, the third for coding)

  • While you were here at the hospital, did you ever need help getting to the bathroom or using a bedpan? How fast did you get help? Did help come as soon as you wanted it? (The first question was for screening, the second for insight, the third for coding)

  • Do you feel the staff paid attention to you?

  • Did you get all of your questions answered?

  • Have you had any problems here at the hospital? Did anybody help you with it? (The first question was for screening, the second for coding)

 

Nursing Staff Questions

 

  • What do you think about your nurses?

  • Do you feel the nurses treat you with respect?

  • Do you think the nurses listen carefully to you?

  • Did the nurses explain things in a way you could understand?

  • Did you get all the information you wanted from the nurses about your tests or treatments?

  • Do the nurses make you feel calm and safe while you are here at the hospital?

  • Do you feel the nurses know you as a person?

  • Do the nurses seem interested in doing things for you?

  • Do you feel the nurses spend enough time with you?

  • Have you ever had a change of nurses while you were here? Do you feel like the new nurse knew what the other nurse knew about you? Did the new nurse seem to know your situation? (The first question is for screening, the next two for coding)

  • What do you feel about the skill of your nurses here at the hospital?

 

Physician Staff Questions

 

  • What do you think about your doctors?

  • Do you feel the doctors treat you with respect?

  • Do you think the doctors listen carefully to you?

  • Did the doctors explain things in a way you could understand?

  • Did you get all the information you wanted from the doctors about your tests or treatments?

  • Do the doctors make you feel calm and safe while you are here at the hospital?

  • Do you feel the doctors know you as a person?

  • Did the doctors seem interested in doing things for you?

  • Do you feel the doctors spend enough time with you?

  • Have you ever been switched between doctors here at the hospital? Do you feel like the new doctor knew what the other doctor knew about you? Did the new doctor seem to know your situation? (The first question was for screening, the next two for coding)

  • Were you ever switched from your primary doctor to a doctor here at the hospital? Do you feel like the new doctor knew what your primary doctor knew about your medical situation? (The first question was for screening, the second question for coding)

  • What do you feel about the skill of your doctors here at the hospital?

 

Cumulative Hospital Questions

 

  • Did you see any hospital staff disagree with each other about your medical treatment?

  • On a scale of 1‐10, how would you rate the hospital?

  • Is there anything that we haven't talked about that would keep you from rating us a 10?

  • Would you recommend this hospital to your friends and family?

  • What can we do to make this the best hospital around?

 

Issue
Journal of Hospital Medicine - 4(9)
Issue
Journal of Hospital Medicine - 4(9)
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E1-E6
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E1-E6
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Cognitive interview techniques reveal specific behaviors and issues that could affect patient satisfaction relative to hospitalists
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Cognitive interview techniques reveal specific behaviors and issues that could affect patient satisfaction relative to hospitalists
Legacy Keywords
cognitive interview, HCAHPS, hospitalist, patient satisfaction, pay for performance, quality improvement, value‐based purchasing
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cognitive interview, HCAHPS, hospitalist, patient satisfaction, pay for performance, quality improvement, value‐based purchasing
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Continuing Medical Education Program in

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Continuing Medical Education program in the Journal of Hospital Medicine

If you wish to receive credit for this activity, which beginson the next page, please refer to the website: www.blackwellpublishing.com/cme.

Accreditation and Designation Statement

Blackwell Futura Media Services designates this educational activity for a 1 AMA PRA Category 1 Credit. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Blackwell Futura Media Services is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Educational Objectives

Continuous participation in the Journal of Hospital Medicine CME program will enable learners to be better able to:

  • Interpret clinical guidelines and their applications for higher quality and more efficient care for all hospitalized patients.

  • Describe the standard of care for common illnesses and conditions treated in the hospital; such as pneumonia, COPD exacerbation, acute coronary syndrome, HF exacerbation, glycemic control, venous thromboembolic disease, stroke, etc.

  • Discuss evidence‐based recommendations involving transitions of care, including the hospital discharge process.

  • Gain insights into the roles of hospitalists as medical educators, researchers, medical ethicists, palliative care providers, and hospital‐based geriatricians.

  • Incorporate best practices for hospitalist administration, including quality improvement, patient safety, practice management, leadership, and demonstrating hospitalist value.

  • Identify evidence‐based best practices and trends for both adult and pediatric hospital medicine.

Instructions on Receiving Credit

For information on applicability and acceptance of continuing medical education credit for this activity, please consult your professional licensing board.

This activity is designed to be completed within the time designated on the title page; physicians should claim only those credits that reflect the time actually spent in the activity. To successfully earn credit, participants must complete the activity during the valid credit period that is noted on the title page.

Follow these steps to earn credit:

  • Log on to www.blackwellpublishing.com/cme.

  • Read the target audience, learning objectives, and author disclosures.

  • Read the article in print or online format.

  • Reflect on the article.

  • Access the CME Exam, and choose the best answer to each question.

  • Complete the required evaluation component of the activity.

Article PDF
Issue
Journal of Hospital Medicine - 4(9)
Page Number
550-550
Sections
Article PDF
Article PDF

If you wish to receive credit for this activity, which beginson the next page, please refer to the website: www.blackwellpublishing.com/cme.

Accreditation and Designation Statement

Blackwell Futura Media Services designates this educational activity for a 1 AMA PRA Category 1 Credit. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Blackwell Futura Media Services is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Educational Objectives

Continuous participation in the Journal of Hospital Medicine CME program will enable learners to be better able to:

  • Interpret clinical guidelines and their applications for higher quality and more efficient care for all hospitalized patients.

  • Describe the standard of care for common illnesses and conditions treated in the hospital; such as pneumonia, COPD exacerbation, acute coronary syndrome, HF exacerbation, glycemic control, venous thromboembolic disease, stroke, etc.

  • Discuss evidence‐based recommendations involving transitions of care, including the hospital discharge process.

  • Gain insights into the roles of hospitalists as medical educators, researchers, medical ethicists, palliative care providers, and hospital‐based geriatricians.

  • Incorporate best practices for hospitalist administration, including quality improvement, patient safety, practice management, leadership, and demonstrating hospitalist value.

  • Identify evidence‐based best practices and trends for both adult and pediatric hospital medicine.

Instructions on Receiving Credit

For information on applicability and acceptance of continuing medical education credit for this activity, please consult your professional licensing board.

This activity is designed to be completed within the time designated on the title page; physicians should claim only those credits that reflect the time actually spent in the activity. To successfully earn credit, participants must complete the activity during the valid credit period that is noted on the title page.

Follow these steps to earn credit:

  • Log on to www.blackwellpublishing.com/cme.

  • Read the target audience, learning objectives, and author disclosures.

  • Read the article in print or online format.

  • Reflect on the article.

  • Access the CME Exam, and choose the best answer to each question.

  • Complete the required evaluation component of the activity.

If you wish to receive credit for this activity, which beginson the next page, please refer to the website: www.blackwellpublishing.com/cme.

Accreditation and Designation Statement

Blackwell Futura Media Services designates this educational activity for a 1 AMA PRA Category 1 Credit. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Blackwell Futura Media Services is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Educational Objectives

Continuous participation in the Journal of Hospital Medicine CME program will enable learners to be better able to:

  • Interpret clinical guidelines and their applications for higher quality and more efficient care for all hospitalized patients.

  • Describe the standard of care for common illnesses and conditions treated in the hospital; such as pneumonia, COPD exacerbation, acute coronary syndrome, HF exacerbation, glycemic control, venous thromboembolic disease, stroke, etc.

  • Discuss evidence‐based recommendations involving transitions of care, including the hospital discharge process.

  • Gain insights into the roles of hospitalists as medical educators, researchers, medical ethicists, palliative care providers, and hospital‐based geriatricians.

  • Incorporate best practices for hospitalist administration, including quality improvement, patient safety, practice management, leadership, and demonstrating hospitalist value.

  • Identify evidence‐based best practices and trends for both adult and pediatric hospital medicine.

Instructions on Receiving Credit

For information on applicability and acceptance of continuing medical education credit for this activity, please consult your professional licensing board.

This activity is designed to be completed within the time designated on the title page; physicians should claim only those credits that reflect the time actually spent in the activity. To successfully earn credit, participants must complete the activity during the valid credit period that is noted on the title page.

Follow these steps to earn credit:

  • Log on to www.blackwellpublishing.com/cme.

  • Read the target audience, learning objectives, and author disclosures.

  • Read the article in print or online format.

  • Reflect on the article.

  • Access the CME Exam, and choose the best answer to each question.

  • Complete the required evaluation component of the activity.

Issue
Journal of Hospital Medicine - 4(9)
Issue
Journal of Hospital Medicine - 4(9)
Page Number
550-550
Page Number
550-550
Article Type
Display Headline
Continuing Medical Education program in the Journal of Hospital Medicine
Display Headline
Continuing Medical Education program in the Journal of Hospital Medicine
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Periprocedural Antithrombotic Management

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Periprocedural antithrombotic management: A review of the literature and practical approach for the hospitalist physician

The management of patients on long‐term antithrombotic therapy (vitamin K antagonists [VKA] or antiplatelet agents) who may require temporary disruption for an invasive procedure is challenging. Management is controversial due to methodologically limited prospective data and varied consensus opinions. Yet periprocedural anticoagulation management is a commonly encountered clinical problem. It is estimated that there are 2.5 million patients on long‐term VKA therapy in North America1 and 41% of the U.S. population over age 40 years is on antiplatelet therapy.2 Further, the need for temporary disruption of these therapies for an invasive procedure is frequent. As an example, in 1 European study, approximately 15% of patients on long‐term VKA required a major surgical procedure in 4 years of follow‐up.3 The role of the hospitalist physician in managing these patients is increasing as hospitalists care for an increasing number of surgical patients and provide periprocedural consultation both in and out of the hospital. Therefore, it is imperative for the hospitalist physician to be proficient in making thoughtful and individualized recommendations on the appropriate management of periprocedural anticoagulants, drawing from the available literature and evidence‐based practice guidelines. Importantly, the Society of Hospital Medicine has cited perioperative management as an important core competency.4

The hospitalist physician is likely to encounter numerous periprocedural scenarios, including the management of antiplatelet agents, identifying low bleeding risk procedures wherein interruption of anticoagulants is unnecessary, and recognizing patients with a low short‐term thromboembolic risk where anticoagulants can be disrupted without the need for heparin or low molecular weight heparin (LMWH) in the periprocedural period (defined as bridging therapy). Further, all other clinical scenarios require both a careful individualized assessment of the patient's risk of periprocedural bleeding and thromboembolism and a thoughtful discussion with all involved parties. This discussion may involve the person performing the procedure, the anesthesiologist, and the patient. The purpose of this work is to explore these relevant areas through a review of the literature with a particular focus on the recently published 2008 American College of Chest Physicians (ACCP) evidence‐based clinical practice guidelines.

We reviewed medical literature from 1990 through May 2008 with the following key words: bridging, anticoagulation, perioperative, antiplatelet, heparin, and low molecular weight heparin. Individual studies were then independently reviewed by the authors. Studies that were felt relevant to a hospitalist physician were retrieved and reviewed. If there was uncertainty regarding applicability to a hospitalist setting, a second author's opinion was rendered. Additionally, we reviewed 1 author's personal reference list of articles relating to periprocedural anticoagulation that has been compiled over the past 10 years. This list and the reference lists of retrieved articles were also reviewed. Data were summarized to answer 4 clinically relevant questions:

  • What is the optimal management of antiplatelet therapy in the periprocedural period?

  • Are there very low‐bleeding risk procedures that do not require interruption of oral anticoagulation?

  • Are there low thromboembolic risk populations who do not require periprocedural bridging?

  • How do you manage patients who must discontinue anticoagulants but are at an increased thrombotic risk?

Clinical Question #1: What Is the Optimal Management of Antiplatelet Therapy in the Periprocedural Period?

The optimal management of oral antiplatelet therapy in the periprocedural period is not well studied. Most reviews, expert recommendations, and consensus statements either do not comment on periprocedural antiplatelet management or recommend the routine discontinuation of therapy at least 7 days prior to surgery.3, 5, 6 However, as the 2008 ACCP guidelines highlight, the recommendation to routinely discontinue antiplatelet therapy 7 days prior to the procedure is an oversimplification.1 In the era of both bare metal cardiac stents and drug‐eluting stents, the optimal management of these patients requires that 2 primary questions be asked: (1) Is this a low‐bleeding risk procedure whereby antiplatelet therapy can be continued? (2) Does the patient have a coronary stent whereby the continuation of antiplatelet therapy or delay of the intervention is necessary?

In the context of ongoing aspirin therapy, certain procedures have a low risk of significant hemorrhagic complications. These low bleeding risk procedures include cataract surgery, cutaneous surgery, oral surgery, and endoscopic procedures, including those with mucosal biopsies.710 Patients undergoing these procedures may safely continue low dose aspirin therapy, especially if they have a high‐risk indication for their aspirin such as recent myocardial infarction, stroke, or the presence of a coronary stent.5, 710 Whether these procedures can be safely performed in the setting of a thienopyridine or combination antiplatelet therapy is uncertain.

In the past several decades, the management of obstructive coronary artery disease has undergone a major evolution. Placement of coronary stents has become commonplace, and there are now several million patients with drug‐eluting stents.11 The major complication of these devices is stent thrombosis, which results in death or myocardial infarction in up to 64% of patients.12 Fortunately, dual antiplatelet therapy (aspirin and a thienopyridine such as clopidogrel) markedly reduces this risk.13 Current guidelines recommend using combination antiplatelet therapy for at least 4 to 6 weeks and ideally up to 12 months after placement of a bare metal stent and at least 12 months after placement of either a sirolimus‐ or paclitaxel‐eluting stent.1, 14 During this period of dual antiplatelet therapy, the premature discontinuation of the thienopyridine may be catastrophic. To guide clinicians in managing these patients in the periprocedural period, recent consensus guidelines recommend the following:1, 12

  • In patients who are expected to need an invasive surgical procedure in the next 12 months, consideration should be given to avoiding drug‐eluting stents.

  • Elective procedures which have an increased risk of bleeding should be deferred for at least 6 weeks after bare metal stent implantation and 12 months after drug‐eluting stent implantation.

  • For patients undergoing a surgical procedure within 6 weeks of bare metal stent implantation and 12 months of drug‐eluting stent implantation, continuation of aspirin and clopidogrel is recommended. If bleeding risk prohibits this, then a cardiologist should be consulted.

  • In patients with a drug‐eluting stent who need to undergo a procedure whereby the thienopyridine needs to be discontinued, aspirin should be continued if at all possible, and the thienopyridine should be resumed as soon as possible after the procedure. It may be reasonable to consider a loading dose of clopidogrel, up to 600 mg, in this setting, although prospective supportive data is lacking.1

It is important to recognize that delayed stent thrombosis is now reported well beyond 1 year after drug‐eluting stent implantation, and that there may not be a diminution in risk after the initial 12 months.1517 Until additional data is available, it seems prudent, if possible, to at least continue aspirin in the periprocedural period in these patients. If bleeding concerns obviate this, then antiplatelet therapy should be discontinued and resumed as soon as possible.

For patients on chronic antiplatelet therapy who do not have a cardiac stent and who are not undergoing a low‐bleeding‐risk procedure, the risks and benefits of the continuation or discontinuation of antiplatelet therapy in the periprocedural period are uncertain as absolute risks in the periprocedural period have not been well studied. Relative risks/benefits, however, can be estimated from prior studies. Aspirin leads to an approximate 25% relative risk reduction in cardiac or thrombotic event rates compared to placebo.14, 18 Although important, the absolute benefit of 1 week of therapy (vs. no therapy during the periprocedural period) is estimated to be small. The small absolute benefit of continued aspirin therapy may be offset by an increase in significant bleeding events. Although, not well studied, continued aspirin increases significant bleeding by 50% with absolute event rates varying by type of procedure.8 In some procedures, such as intracranial surgery or transurethral prostatectomy, this bleeding risk is prohibitive. For others, the risk may be modest and the decision to continue vs. discontinue aspirin therapy may be at the discretion of the person performing the procedure. In general, for most patients who do not have a coronary stent and have not had a recent (past 3 months) myocardial infarction or stroke, discontinuation of antiplatelet therapy 7 to 10 days prior to the procedure seems prudent. The primary exceptions are patients who are undergoing percutaneous coronary intervention or coronary artery bypass grafting. For these procedures continuing aspirin is recommended.1 Figure 1 outlines a proposed management strategy based upon available evidence and guidelines.

Figure 1
A management algorithm of antiplatelet therapy in the periprocedural period. The optimal management of antiplatelet agents in the periprocedural period is not well studied. This algorithm draws from available evidence and is consistent with recent practice guidelines by the American College of Chest Physicians1 and the American Heart Association.14 *Low–bleeding‐risk procedures include cutaneous, endoscopic, and oral surgery. ⁁High‐risk indications for antiplatelet therapy include a recent cardiac event or stroke (past 3 months) or the need for percutaneous coronary intervention or coronary artery bypass surgery.

Clinical Question #2: Are There Very‐Low‐Bleeding‐Risk Procedures That Do Not Require Interruption of Oral Anticoagulation?

Some procedures are associated with a low‐enough risk of bleeding that it is safe to proceed without interrupting VKA anticoagulation. This approach spares the risk and cost that occur with the holding of oral anticoagulants and institution of bridging therapy. When considering this strategy, it is important that the specialist performing the procedure is included in the discussion. Dental, dermatologic, and cataract procedures are common outpatient procedures that are associated with low bleeding risk. The relative safety of these procedures in patients who are anticoagulated is discussed thoroughly in the ACCP guidelines.1 Other low‐bleeding‐risk procedures for which a hospitalist may be consulted include certain endoscopic procedures, paracentesis, central venous catheter placement, and arthrocentesis.

The American Society for Gastrointestinal Endoscopy has published guidelines recommending that anticoagulation can be safely continued in patients undergoing the following endoscopic procedures with a low bleeding risk: esophagogastroduodenoscopy (EGD), flexible sigmoidoscopy, and colonoscopy, all with or without mucosal biopsy; enteroscopy, biliary/pancreatic stent placement, endoscopic ultrasound without biopsy, and endoscopic retrograde cholangiopancreatography (ERCP) without sphincterotomy.19 Conversely, high‐risk procedures for which interruption of anticoagulation is recommended include polypectomy, biliary sphincterotomy, variceal treatment, percutaneous endoscopic gastrostomy (PEG) placement, dilation of strictures, and endoscopic ultrasound‐guided fine‐needle aspiration.

Limited data suggest that paracentesis, central venous catheter placement, and arthrocentesis may be safe to perform in the setting of anticoagulation. For patients undergoing paracentesis there is little evidence in anticoagulated patients; however, it is probably safe to continue anticoagulation as studies have demonstrated the safety of this procedure in patients with significant thrombocytopenia and coagulopathy.20, 21 Limited data also supports that central venous catheter placement may be safely performed in the setting of abnormal coagulation tests, although some recommend avoiding the subclavian site due to the risk of hemothorax and the inability to apply adequate compression.2226 With regard to arthrocentesis, multiple authors have endorsed the idea that joint and soft‐tissue aspirations and injections present a low risk of serious bleeding even with anticoagulation.2729 This is supported by limited data.30, 31

Other procedures such as lumbar puncture, thoracentesis, and cardiac catheterization are somewhat more controversial in the anticoagulated patient. Anticoagulation should generally be interrupted for lumbar puncture,29, 32 as 1 study involving patients who were started on heparin immediately after the procedure had a 2% incidence of spinal hematoma and 6.7% major complication rate.33 With regard to thoracentesis, evidence is very limited, but experts generally accept that it may be safely performed in patients with mild coagulopathy.34, 35 One frequently‐cited study found no bleeding complications in 57 patients with mild elevation in prothrombin time, which correlated to an International Normalized Ratio of approximately 2.2 or less.36 A recent report also revealed no serious bleeding complications in 33 thoracenteses performed on patients receiving full anticoagulation with warfarin, heparin, and/or low molecular weight heparin.37

Therapeutic anticoagulation has traditionally been felt to be a relative contraindication to cardiac catheterization.38, 39 In spite of this, several observational studies have suggested it may be safely performed using a standard approach,40 using vascular closure devices,41 or using a radial artery approach instead of the more commonly used femoral site.4244 The small size of these observational reports, the diagnostic rather than therapeutic nature of most cases, the limited use of other antithrombotic and antiplatelet medications, and the experience required to use the transradial approach are all major limitations preventing widespread acceptance of cardiac catheterization in therapeutically anticoagulated patients.

In summary, there are numerous procedures that may be safely pursued in the setting of therapeutic anticoagulation. However, for most of these procedures the data is somewhat limited. As such, it is paramount for the hospitalist physician to recognize these clinical scenarios and to discuss management options with the patient and the person performing the procedure, if applicable.

Clinical Question #3: Are There LowThromboembolic‐Risk Populations Who Do Not Require Periprocedural Bridging?

Although it has previously been noted that there is a wide variation of opinion on when and how to perform periprocedural bridging, it is generally agreed that in the following conditions the risk of thrombosis is low enough that bridging with full dose heparin or LMWH is not necessary:1, 5, 4549

  • Atrial fibrillation without previous stroke or transient ischemic attack (TIA) and no more than 2 additional thrombotic risk factors on the CHADS2 scoring system (Table 1).

  • A single venous thromboembolic event that occurred greater than 12 months ago with no ongoing risk factors such as active malignancy, high risk thrombophilia, or the antiphospholipid antibody syndrome.

  • Bileaflet aortic valve without the presence of additional risk factors (ie, patients <75 years of age with the absence of atrial fibrillation, prior stroke or transient ischemic attack, hypertension, diabetes, or congestive heart failure).

CHADS2 Scoring System
CHADS2 Score* Annual Risk of Stroke (%)
  • NOTE: CHADS2 scoring system is a validated risk assessment tool for evaluating the annual stroke risk in patients with atrial fibrillation.69

  • 1 point each for: congestive heart failure, hypertension, age 75 years, and diabetes mellitus; 2 points for stroke/TIA.

  • Abbreviations: CHADS2, congestive heart failurehypertensionage 75 yearsdiabetes mellitusstroke/TIA; TIA, transient ischemic attack.

0 1.9
1 2.8
2 4.0
3 5.9
4 8.5
5 12.5
6 18.2

Clinical Question #4: How Do You Manage Patients Who Must Discontinue Anticoagulants But Are at an Increased Thrombotic Risk?

When anticoagulation must be held and the patient does not have a very low thromboembolic risk, a decision of whether or not to use bridging anticoagulation must be made. The current ACCP guideline gives grade 1C and 2C recommendations (evidence from observational studies, case series, or controlled trials with serious flaws) regarding for whom and how to implement bridging.1 The grade C designation is due to a lack of high‐quality randomized clinical trials. As such, the clinician must carefully consider an individual patient's estimated thromboembolic risk, procedurally‐related bleeding risk, patient‐related bleeding risk factors, and the patient's values regarding concerns of thromboembolism or bleeding. In these situations it is also imperative that the person performing the procedure is involved in the risk‐to‐benefit discussion.

When evaluating an individual patient's risk of thromboembolism, clinicians sometimes estimate the perioperative risk by prorating the annual incidence of thromboembolic complications to the few days that anticoagulation is withheld.67 Making this extrapolation discounts the effect of a potential increase in thromboembolic risk induced by surgery. As an example, an average patient with atrial fibrillation who has a 5% predicted annual stroke rate would be estimated to have a stroke risk of 0.05% if they are not anticoagulated for 4 days. However, studies have shown that the actual rate of perioperative thromboembolism is approximately 1%.1 With these limitations and uncertainties in mind, and until there is better prospective outcomes data, we must consider relative risks in the context of absolute event rate estimates when deciding a perioperative anticoagulant management plan. The estimated annual incidence of thrombosis without anticoagulation for various indications and the current guideline recommendations are presented in Table 2.

Summary of Guidelines on Bridging Therapy
Practice Guideline Preferred Management Recommendations
Indication for chronic anticoagulation Estimated Annual Thrombotic Risk Without Anticoagulation ACCP*1 ACC/AHA45, 46 British Haematologic Society70
  • Abbreviations: ACC, American College of Cardiology; ACCP, American College of Chest Physicians; A‐fib, atrial fibrillation; AHA, American Heart Association; CHADS2, CHFHtnage 75 yearsDMstroke/TIA (see Table 1); CHF, congestive heart failure; CVA, cerebrovascular accident; DM, diabetes mellitus; Htn, hypertension; N/A, not applicable; TIA, transient ischemic attack; VTE, venous thromboembolism.

  • ACCP recommends withholding full‐dose anticoagulation for 48‐72 hours postprocedure in patients at high risk of postoperative bleeding.

  • Extrapolated from the British Committee for Standards in Haemotology.

  • Risk factors: A‐fib, prior stroke or TIA, Htn, DM, CHF, age >75 years.

Dual prosthetic or older‐generation valve >10% Bridge Bridge Bridge
VTE within 3 months or severe thrombophilias Bridge N/A Bridge
Pregnancy with prosthetic valve Bridge Bridge N/A
Bileaflet valve in the mitral position Bridge Bridge Prophylaxis
Valve with acute embolism <6 months Bridge N/A Bridge
A‐fib valvular or CHADS2 score 5‐6 Bridge Consider bridging N/A
Recurrent venous thromboembolism 4‐10% Bridge N/A N/A
VTE within 3‐12 months or active cancer Bridge N/A Prophylaxis
Bileaflet aortic valve with additional risk factors Bridge Bridge Prophylaxis
A‐fib CHADS2 score 3‐4 Bridge Consider bridging N/A
Bileaflet aortic valve without additional risk factors <4% Prophylaxis or no bridging No bridging Prophylaxis
VTE >12 months Prophylaxis or no bridging N/A Prophylaxis
A‐fib CHADS2 score 0‐2 and no previous CVA/TIA Prophylaxis or no bridging No bridging N/A

In addition to thromboembolic risk, we must also consider the bleeding risk associated with the procedure/surgery. Importantly, therapeutic heparin started early in the postoperative period is associated with major bleeding event rates as high as 10% to 20%.1, 50 Once a major bleeding event occurs, this will often lead to an extended interruption of anticoagulant therapy, placing the patient at a more prolonged risk of an associated thromboembolic event. For this reason, the resumption of full‐dose anticoagulation with LMWH/heparin should be delayed for at least 48 hours in most patients undergoing a surgery or procedure associated with an increased risk of bleeding. Examples of these higher‐bleeding‐risk procedures include major thoracic surgery, intracranial or spinal surgery, major vascular surgery, major orthopedic surgery, urologic surgery involving the bladder or prostrate, major oncologic surgery, reconstructive plastic surgery, colonoscopy with associated polypectomy, renal or prostate biopsies, and placement of a cardiac pacemaker/defibrillator.1, 5157

Taken together, these uncertainties surrounding thromboembolic and bleeding risk estimates imply that there are multiple options for periprocedural management. Several studies, many of which included patients with mechanical heart valves, have shown similar safety and efficacy between LMWH and intravenous (IV) unfractionated heparin.5864 Table 3 summarizes these studies. The ACCP recommends bridging with LMWH over IV unfractionated heparin due to equal efficacy and cost savings with LMWH.1 When bridging is used, careful attention must be given to the timing and dose of anticoagulation in both the preoperative and postoperative periods. Table 4 lists dosing of commonly used LMWHs in North America. When using LMWHs in the preprocedural setting it is important to note that unacceptably high levels of anticoagulation remain present when a patient is given a full once‐daily LMWH dose the morning prior to the procedure or when a full‐dose, twice‐daily LMWH dose is given the evening prior to the procedure.65, 66 For this reason, the ACCP recommends administering the last preoperative dose 24 hours before surgery and if full‐dose once‐daily LMWH is used, the dose should be decreased by one‐half on the day before the surgery in order to ensure that no residual anticoagulant effect remains at the time of surgery.

Summary of Key Bridging Studies
AuthorReference/Study Type Number of Patients Patient Population Type of Procedure Bridging Strategy Major Bleeds Minor Bleeds TE Rate
  • NOTE: Studies included are prospective cohort studies with at least 150 patients and registries with greater than 500 patients in which consecutive patients were followed for postintervention outcome assessment.

  • Abbreviations: AC, anticoagulation; a‐fib, atrial fibrillation; bid, twice daily; DVT, deep venous thrombosis; IU, anti‐Xa activity in International Units; LMWH, low molecular weight heparin; POD, postoperative day; TE, thromboembolism; UFH, unfractionated heparin; VTE, venous thromboembolism.

Turpie and Douketis63/single arm cohort 174 66% aortic valve; 34% mitral or dual prosthetic valve Not specified Enoxaparin 1 mg/kg twice daily 2.3% Not specified None
Kovacs et al.61/single arm cohort 224 Prosthetic heart valves or a‐fib plus 1 major risk factor 67 surgical; 157 nonsurgical Preoperative bridging with dalteparin 200 IU/kg daily; dose reduced to 100 IU/kg on preoperative day 1; restarted at 100 IU/kg on POD 1; dose reduced to 5000 IU daily if high risk for bleeding 6.7%; 8/15 occurred intraoperatively or <6 hours postoperatively; 2/15 occurred after 4 weeks Not specified 3.6%; 6/8 episodes occurred after warfarin held secondary to bleeding; 2/8 thrombotic episodes judged to be due to cardioembolism
Douketis et al.59/prospective registry 650 A‐fib 58%; mechanical heart valve 33% 251 surgical; 399 nonsurgical Dalteparin 100 IU/kg twice daily; held after high bleeding risk procedure and patients with poor hemostasis 0.92% 5.9% 0.6%
Spyropolous et al.62/prospective registry; 14 centers in United States and Canada 901 UFH: 40% mechanical valves, 33% a‐fib; LMWH: 24% mechanical valve, 40% a‐fib 394 surgical; 507 nonsurgical LMWH mostly given twice daily 80%; UFH 20% 5.5% UFH; 3.3% LMWH 9.1% UFH; 12.0% LMWH 2.4% UFH; 0.9% LMWH
Dunn et al.66/prospective cohort 260 A‐fib 68% or prior DVT 37% (excluding prosthetic heart valves) 105 surgical; 145 nonsurgical Enoxaparin 1.5 mg/kg daily 3.5% overall; minor surgery/procedures 0.9%; major surgery 28% 42% 1.9%; 1/5 events occurred after bleeding led to withdrawal of AC
Omran et al.77/prospective registry 779 Various indications Major and minor procedures All patients bridged with enoxaparin; moderate TE risk 1 mg/kg daily; high TE risk 1 mg/kg twice daily 0.5%; all in high‐risk group 5.9% 0
Garcia et al.71/prospective, observational cohort of 101 sites in United States 1024 patients with 1293 interruptions of AC A‐fib 53%; VTE 14%; prosthetic valve 13% Outpatient procedures only At discretion of provider. Bridging performed in 8.3% of interruptions; 3% a‐fib, 10% VTE, and 29% mechanical valves 0.6%; 4/6 patients with major bleed received bridging 1.7%;10/17 patients with minor bleed received bridging 0.7%; no events in patients who were bridged
Wysokinski et al.64/prospective cohort 345 consecutive patients undergoing 386 procedures 100% nonvalvular a‐fib Major and minor surgeries/procedures Individualized in AC clinic; 52% of patients bridged 2.7%; no difference whether patient received bridging or not 3.0%; 10/11 occurred in bridged patients 1.1%; no difference in bridged vs. nonbridged patients
Low Molecular Weight Heparin Dosing Regimens Evaluated in Periprocedural Management Studies
Low Molecular Weight Heparin Subcutaneous Dose
  • Abbreviation: IU, anti‐Xa activity in International Units.

Dalteparin
Low dose (prophylaxis dose) 5,000 IU once daily
Full dose 100 IU/kg twice daily or 200 IU/kg once daily
Enoxaparin
Low dose (prophylaxis dose) 30 mg twice daily or 40mg daily
Full dose 1 mg/kg twice daily or 1.5 mg/kg once daily
Tinzaparin (full dose) 175 IU/kg once daily

In the postprocedural setting, timing and dose of anticoagulant is important, as major bleeding with the use of therapeutic anticoagulation can occur in up to 10% to 20% of cases. When restarting anticoagulation after the procedure, it is important to evaluate intraoperative hemostasis and to consider patient‐related factors that may further increase bleeding risk. These include advanced age, concomitant antiplatelet or nonsteroidal antiinflammatory medications, renal insufficiency, placement of spinal/epidural catheter, worsening liver disease, or the presence of other comorbid illnesses such as cancer.30, 67, 68 The ACCP recommends withholding full‐dose anticoagulation for at least 48 to 72 hours in patients who are felt to be at a high risk for postoperative bleeding.1 Figure 2 is a proposed management approach to the use of bridging anticoagulants that is consistent with the 2008 ACCP recommendations.

Figure 2
A 5‐step approach to the periprocedural evaluation and management of patients receiving chronic vitamin K antagonist (VKA) therapy.

CONCLUSION

The evaluation and management of patients on long‐term antiplatelet or VKA therapy who require an invasive procedure or surgery is a common, complicated, and controversial area. Importantly, it is an area in which the hospitalist physician must be adept. Although there remain many unanswered clinical questions, an evolving literature base and recent practice guidelines can help guide management decisions.

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Article PDF
Issue
Journal of Hospital Medicine - 4(9)
Page Number
551-559
Legacy Keywords
anticoagulants, antiplatelet, bridging therapy, major hemorrhage, periprocedural, thrombosis
Sections
Article PDF
Article PDF

The management of patients on long‐term antithrombotic therapy (vitamin K antagonists [VKA] or antiplatelet agents) who may require temporary disruption for an invasive procedure is challenging. Management is controversial due to methodologically limited prospective data and varied consensus opinions. Yet periprocedural anticoagulation management is a commonly encountered clinical problem. It is estimated that there are 2.5 million patients on long‐term VKA therapy in North America1 and 41% of the U.S. population over age 40 years is on antiplatelet therapy.2 Further, the need for temporary disruption of these therapies for an invasive procedure is frequent. As an example, in 1 European study, approximately 15% of patients on long‐term VKA required a major surgical procedure in 4 years of follow‐up.3 The role of the hospitalist physician in managing these patients is increasing as hospitalists care for an increasing number of surgical patients and provide periprocedural consultation both in and out of the hospital. Therefore, it is imperative for the hospitalist physician to be proficient in making thoughtful and individualized recommendations on the appropriate management of periprocedural anticoagulants, drawing from the available literature and evidence‐based practice guidelines. Importantly, the Society of Hospital Medicine has cited perioperative management as an important core competency.4

The hospitalist physician is likely to encounter numerous periprocedural scenarios, including the management of antiplatelet agents, identifying low bleeding risk procedures wherein interruption of anticoagulants is unnecessary, and recognizing patients with a low short‐term thromboembolic risk where anticoagulants can be disrupted without the need for heparin or low molecular weight heparin (LMWH) in the periprocedural period (defined as bridging therapy). Further, all other clinical scenarios require both a careful individualized assessment of the patient's risk of periprocedural bleeding and thromboembolism and a thoughtful discussion with all involved parties. This discussion may involve the person performing the procedure, the anesthesiologist, and the patient. The purpose of this work is to explore these relevant areas through a review of the literature with a particular focus on the recently published 2008 American College of Chest Physicians (ACCP) evidence‐based clinical practice guidelines.

We reviewed medical literature from 1990 through May 2008 with the following key words: bridging, anticoagulation, perioperative, antiplatelet, heparin, and low molecular weight heparin. Individual studies were then independently reviewed by the authors. Studies that were felt relevant to a hospitalist physician were retrieved and reviewed. If there was uncertainty regarding applicability to a hospitalist setting, a second author's opinion was rendered. Additionally, we reviewed 1 author's personal reference list of articles relating to periprocedural anticoagulation that has been compiled over the past 10 years. This list and the reference lists of retrieved articles were also reviewed. Data were summarized to answer 4 clinically relevant questions:

  • What is the optimal management of antiplatelet therapy in the periprocedural period?

  • Are there very low‐bleeding risk procedures that do not require interruption of oral anticoagulation?

  • Are there low thromboembolic risk populations who do not require periprocedural bridging?

  • How do you manage patients who must discontinue anticoagulants but are at an increased thrombotic risk?

Clinical Question #1: What Is the Optimal Management of Antiplatelet Therapy in the Periprocedural Period?

The optimal management of oral antiplatelet therapy in the periprocedural period is not well studied. Most reviews, expert recommendations, and consensus statements either do not comment on periprocedural antiplatelet management or recommend the routine discontinuation of therapy at least 7 days prior to surgery.3, 5, 6 However, as the 2008 ACCP guidelines highlight, the recommendation to routinely discontinue antiplatelet therapy 7 days prior to the procedure is an oversimplification.1 In the era of both bare metal cardiac stents and drug‐eluting stents, the optimal management of these patients requires that 2 primary questions be asked: (1) Is this a low‐bleeding risk procedure whereby antiplatelet therapy can be continued? (2) Does the patient have a coronary stent whereby the continuation of antiplatelet therapy or delay of the intervention is necessary?

In the context of ongoing aspirin therapy, certain procedures have a low risk of significant hemorrhagic complications. These low bleeding risk procedures include cataract surgery, cutaneous surgery, oral surgery, and endoscopic procedures, including those with mucosal biopsies.710 Patients undergoing these procedures may safely continue low dose aspirin therapy, especially if they have a high‐risk indication for their aspirin such as recent myocardial infarction, stroke, or the presence of a coronary stent.5, 710 Whether these procedures can be safely performed in the setting of a thienopyridine or combination antiplatelet therapy is uncertain.

In the past several decades, the management of obstructive coronary artery disease has undergone a major evolution. Placement of coronary stents has become commonplace, and there are now several million patients with drug‐eluting stents.11 The major complication of these devices is stent thrombosis, which results in death or myocardial infarction in up to 64% of patients.12 Fortunately, dual antiplatelet therapy (aspirin and a thienopyridine such as clopidogrel) markedly reduces this risk.13 Current guidelines recommend using combination antiplatelet therapy for at least 4 to 6 weeks and ideally up to 12 months after placement of a bare metal stent and at least 12 months after placement of either a sirolimus‐ or paclitaxel‐eluting stent.1, 14 During this period of dual antiplatelet therapy, the premature discontinuation of the thienopyridine may be catastrophic. To guide clinicians in managing these patients in the periprocedural period, recent consensus guidelines recommend the following:1, 12

  • In patients who are expected to need an invasive surgical procedure in the next 12 months, consideration should be given to avoiding drug‐eluting stents.

  • Elective procedures which have an increased risk of bleeding should be deferred for at least 6 weeks after bare metal stent implantation and 12 months after drug‐eluting stent implantation.

  • For patients undergoing a surgical procedure within 6 weeks of bare metal stent implantation and 12 months of drug‐eluting stent implantation, continuation of aspirin and clopidogrel is recommended. If bleeding risk prohibits this, then a cardiologist should be consulted.

  • In patients with a drug‐eluting stent who need to undergo a procedure whereby the thienopyridine needs to be discontinued, aspirin should be continued if at all possible, and the thienopyridine should be resumed as soon as possible after the procedure. It may be reasonable to consider a loading dose of clopidogrel, up to 600 mg, in this setting, although prospective supportive data is lacking.1

It is important to recognize that delayed stent thrombosis is now reported well beyond 1 year after drug‐eluting stent implantation, and that there may not be a diminution in risk after the initial 12 months.1517 Until additional data is available, it seems prudent, if possible, to at least continue aspirin in the periprocedural period in these patients. If bleeding concerns obviate this, then antiplatelet therapy should be discontinued and resumed as soon as possible.

For patients on chronic antiplatelet therapy who do not have a cardiac stent and who are not undergoing a low‐bleeding‐risk procedure, the risks and benefits of the continuation or discontinuation of antiplatelet therapy in the periprocedural period are uncertain as absolute risks in the periprocedural period have not been well studied. Relative risks/benefits, however, can be estimated from prior studies. Aspirin leads to an approximate 25% relative risk reduction in cardiac or thrombotic event rates compared to placebo.14, 18 Although important, the absolute benefit of 1 week of therapy (vs. no therapy during the periprocedural period) is estimated to be small. The small absolute benefit of continued aspirin therapy may be offset by an increase in significant bleeding events. Although, not well studied, continued aspirin increases significant bleeding by 50% with absolute event rates varying by type of procedure.8 In some procedures, such as intracranial surgery or transurethral prostatectomy, this bleeding risk is prohibitive. For others, the risk may be modest and the decision to continue vs. discontinue aspirin therapy may be at the discretion of the person performing the procedure. In general, for most patients who do not have a coronary stent and have not had a recent (past 3 months) myocardial infarction or stroke, discontinuation of antiplatelet therapy 7 to 10 days prior to the procedure seems prudent. The primary exceptions are patients who are undergoing percutaneous coronary intervention or coronary artery bypass grafting. For these procedures continuing aspirin is recommended.1 Figure 1 outlines a proposed management strategy based upon available evidence and guidelines.

Figure 1
A management algorithm of antiplatelet therapy in the periprocedural period. The optimal management of antiplatelet agents in the periprocedural period is not well studied. This algorithm draws from available evidence and is consistent with recent practice guidelines by the American College of Chest Physicians1 and the American Heart Association.14 *Low–bleeding‐risk procedures include cutaneous, endoscopic, and oral surgery. ⁁High‐risk indications for antiplatelet therapy include a recent cardiac event or stroke (past 3 months) or the need for percutaneous coronary intervention or coronary artery bypass surgery.

Clinical Question #2: Are There Very‐Low‐Bleeding‐Risk Procedures That Do Not Require Interruption of Oral Anticoagulation?

Some procedures are associated with a low‐enough risk of bleeding that it is safe to proceed without interrupting VKA anticoagulation. This approach spares the risk and cost that occur with the holding of oral anticoagulants and institution of bridging therapy. When considering this strategy, it is important that the specialist performing the procedure is included in the discussion. Dental, dermatologic, and cataract procedures are common outpatient procedures that are associated with low bleeding risk. The relative safety of these procedures in patients who are anticoagulated is discussed thoroughly in the ACCP guidelines.1 Other low‐bleeding‐risk procedures for which a hospitalist may be consulted include certain endoscopic procedures, paracentesis, central venous catheter placement, and arthrocentesis.

The American Society for Gastrointestinal Endoscopy has published guidelines recommending that anticoagulation can be safely continued in patients undergoing the following endoscopic procedures with a low bleeding risk: esophagogastroduodenoscopy (EGD), flexible sigmoidoscopy, and colonoscopy, all with or without mucosal biopsy; enteroscopy, biliary/pancreatic stent placement, endoscopic ultrasound without biopsy, and endoscopic retrograde cholangiopancreatography (ERCP) without sphincterotomy.19 Conversely, high‐risk procedures for which interruption of anticoagulation is recommended include polypectomy, biliary sphincterotomy, variceal treatment, percutaneous endoscopic gastrostomy (PEG) placement, dilation of strictures, and endoscopic ultrasound‐guided fine‐needle aspiration.

Limited data suggest that paracentesis, central venous catheter placement, and arthrocentesis may be safe to perform in the setting of anticoagulation. For patients undergoing paracentesis there is little evidence in anticoagulated patients; however, it is probably safe to continue anticoagulation as studies have demonstrated the safety of this procedure in patients with significant thrombocytopenia and coagulopathy.20, 21 Limited data also supports that central venous catheter placement may be safely performed in the setting of abnormal coagulation tests, although some recommend avoiding the subclavian site due to the risk of hemothorax and the inability to apply adequate compression.2226 With regard to arthrocentesis, multiple authors have endorsed the idea that joint and soft‐tissue aspirations and injections present a low risk of serious bleeding even with anticoagulation.2729 This is supported by limited data.30, 31

Other procedures such as lumbar puncture, thoracentesis, and cardiac catheterization are somewhat more controversial in the anticoagulated patient. Anticoagulation should generally be interrupted for lumbar puncture,29, 32 as 1 study involving patients who were started on heparin immediately after the procedure had a 2% incidence of spinal hematoma and 6.7% major complication rate.33 With regard to thoracentesis, evidence is very limited, but experts generally accept that it may be safely performed in patients with mild coagulopathy.34, 35 One frequently‐cited study found no bleeding complications in 57 patients with mild elevation in prothrombin time, which correlated to an International Normalized Ratio of approximately 2.2 or less.36 A recent report also revealed no serious bleeding complications in 33 thoracenteses performed on patients receiving full anticoagulation with warfarin, heparin, and/or low molecular weight heparin.37

Therapeutic anticoagulation has traditionally been felt to be a relative contraindication to cardiac catheterization.38, 39 In spite of this, several observational studies have suggested it may be safely performed using a standard approach,40 using vascular closure devices,41 or using a radial artery approach instead of the more commonly used femoral site.4244 The small size of these observational reports, the diagnostic rather than therapeutic nature of most cases, the limited use of other antithrombotic and antiplatelet medications, and the experience required to use the transradial approach are all major limitations preventing widespread acceptance of cardiac catheterization in therapeutically anticoagulated patients.

In summary, there are numerous procedures that may be safely pursued in the setting of therapeutic anticoagulation. However, for most of these procedures the data is somewhat limited. As such, it is paramount for the hospitalist physician to recognize these clinical scenarios and to discuss management options with the patient and the person performing the procedure, if applicable.

Clinical Question #3: Are There LowThromboembolic‐Risk Populations Who Do Not Require Periprocedural Bridging?

Although it has previously been noted that there is a wide variation of opinion on when and how to perform periprocedural bridging, it is generally agreed that in the following conditions the risk of thrombosis is low enough that bridging with full dose heparin or LMWH is not necessary:1, 5, 4549

  • Atrial fibrillation without previous stroke or transient ischemic attack (TIA) and no more than 2 additional thrombotic risk factors on the CHADS2 scoring system (Table 1).

  • A single venous thromboembolic event that occurred greater than 12 months ago with no ongoing risk factors such as active malignancy, high risk thrombophilia, or the antiphospholipid antibody syndrome.

  • Bileaflet aortic valve without the presence of additional risk factors (ie, patients <75 years of age with the absence of atrial fibrillation, prior stroke or transient ischemic attack, hypertension, diabetes, or congestive heart failure).

CHADS2 Scoring System
CHADS2 Score* Annual Risk of Stroke (%)
  • NOTE: CHADS2 scoring system is a validated risk assessment tool for evaluating the annual stroke risk in patients with atrial fibrillation.69

  • 1 point each for: congestive heart failure, hypertension, age 75 years, and diabetes mellitus; 2 points for stroke/TIA.

  • Abbreviations: CHADS2, congestive heart failurehypertensionage 75 yearsdiabetes mellitusstroke/TIA; TIA, transient ischemic attack.

0 1.9
1 2.8
2 4.0
3 5.9
4 8.5
5 12.5
6 18.2

Clinical Question #4: How Do You Manage Patients Who Must Discontinue Anticoagulants But Are at an Increased Thrombotic Risk?

When anticoagulation must be held and the patient does not have a very low thromboembolic risk, a decision of whether or not to use bridging anticoagulation must be made. The current ACCP guideline gives grade 1C and 2C recommendations (evidence from observational studies, case series, or controlled trials with serious flaws) regarding for whom and how to implement bridging.1 The grade C designation is due to a lack of high‐quality randomized clinical trials. As such, the clinician must carefully consider an individual patient's estimated thromboembolic risk, procedurally‐related bleeding risk, patient‐related bleeding risk factors, and the patient's values regarding concerns of thromboembolism or bleeding. In these situations it is also imperative that the person performing the procedure is involved in the risk‐to‐benefit discussion.

When evaluating an individual patient's risk of thromboembolism, clinicians sometimes estimate the perioperative risk by prorating the annual incidence of thromboembolic complications to the few days that anticoagulation is withheld.67 Making this extrapolation discounts the effect of a potential increase in thromboembolic risk induced by surgery. As an example, an average patient with atrial fibrillation who has a 5% predicted annual stroke rate would be estimated to have a stroke risk of 0.05% if they are not anticoagulated for 4 days. However, studies have shown that the actual rate of perioperative thromboembolism is approximately 1%.1 With these limitations and uncertainties in mind, and until there is better prospective outcomes data, we must consider relative risks in the context of absolute event rate estimates when deciding a perioperative anticoagulant management plan. The estimated annual incidence of thrombosis without anticoagulation for various indications and the current guideline recommendations are presented in Table 2.

Summary of Guidelines on Bridging Therapy
Practice Guideline Preferred Management Recommendations
Indication for chronic anticoagulation Estimated Annual Thrombotic Risk Without Anticoagulation ACCP*1 ACC/AHA45, 46 British Haematologic Society70
  • Abbreviations: ACC, American College of Cardiology; ACCP, American College of Chest Physicians; A‐fib, atrial fibrillation; AHA, American Heart Association; CHADS2, CHFHtnage 75 yearsDMstroke/TIA (see Table 1); CHF, congestive heart failure; CVA, cerebrovascular accident; DM, diabetes mellitus; Htn, hypertension; N/A, not applicable; TIA, transient ischemic attack; VTE, venous thromboembolism.

  • ACCP recommends withholding full‐dose anticoagulation for 48‐72 hours postprocedure in patients at high risk of postoperative bleeding.

  • Extrapolated from the British Committee for Standards in Haemotology.

  • Risk factors: A‐fib, prior stroke or TIA, Htn, DM, CHF, age >75 years.

Dual prosthetic or older‐generation valve >10% Bridge Bridge Bridge
VTE within 3 months or severe thrombophilias Bridge N/A Bridge
Pregnancy with prosthetic valve Bridge Bridge N/A
Bileaflet valve in the mitral position Bridge Bridge Prophylaxis
Valve with acute embolism <6 months Bridge N/A Bridge
A‐fib valvular or CHADS2 score 5‐6 Bridge Consider bridging N/A
Recurrent venous thromboembolism 4‐10% Bridge N/A N/A
VTE within 3‐12 months or active cancer Bridge N/A Prophylaxis
Bileaflet aortic valve with additional risk factors Bridge Bridge Prophylaxis
A‐fib CHADS2 score 3‐4 Bridge Consider bridging N/A
Bileaflet aortic valve without additional risk factors <4% Prophylaxis or no bridging No bridging Prophylaxis
VTE >12 months Prophylaxis or no bridging N/A Prophylaxis
A‐fib CHADS2 score 0‐2 and no previous CVA/TIA Prophylaxis or no bridging No bridging N/A

In addition to thromboembolic risk, we must also consider the bleeding risk associated with the procedure/surgery. Importantly, therapeutic heparin started early in the postoperative period is associated with major bleeding event rates as high as 10% to 20%.1, 50 Once a major bleeding event occurs, this will often lead to an extended interruption of anticoagulant therapy, placing the patient at a more prolonged risk of an associated thromboembolic event. For this reason, the resumption of full‐dose anticoagulation with LMWH/heparin should be delayed for at least 48 hours in most patients undergoing a surgery or procedure associated with an increased risk of bleeding. Examples of these higher‐bleeding‐risk procedures include major thoracic surgery, intracranial or spinal surgery, major vascular surgery, major orthopedic surgery, urologic surgery involving the bladder or prostrate, major oncologic surgery, reconstructive plastic surgery, colonoscopy with associated polypectomy, renal or prostate biopsies, and placement of a cardiac pacemaker/defibrillator.1, 5157

Taken together, these uncertainties surrounding thromboembolic and bleeding risk estimates imply that there are multiple options for periprocedural management. Several studies, many of which included patients with mechanical heart valves, have shown similar safety and efficacy between LMWH and intravenous (IV) unfractionated heparin.5864 Table 3 summarizes these studies. The ACCP recommends bridging with LMWH over IV unfractionated heparin due to equal efficacy and cost savings with LMWH.1 When bridging is used, careful attention must be given to the timing and dose of anticoagulation in both the preoperative and postoperative periods. Table 4 lists dosing of commonly used LMWHs in North America. When using LMWHs in the preprocedural setting it is important to note that unacceptably high levels of anticoagulation remain present when a patient is given a full once‐daily LMWH dose the morning prior to the procedure or when a full‐dose, twice‐daily LMWH dose is given the evening prior to the procedure.65, 66 For this reason, the ACCP recommends administering the last preoperative dose 24 hours before surgery and if full‐dose once‐daily LMWH is used, the dose should be decreased by one‐half on the day before the surgery in order to ensure that no residual anticoagulant effect remains at the time of surgery.

Summary of Key Bridging Studies
AuthorReference/Study Type Number of Patients Patient Population Type of Procedure Bridging Strategy Major Bleeds Minor Bleeds TE Rate
  • NOTE: Studies included are prospective cohort studies with at least 150 patients and registries with greater than 500 patients in which consecutive patients were followed for postintervention outcome assessment.

  • Abbreviations: AC, anticoagulation; a‐fib, atrial fibrillation; bid, twice daily; DVT, deep venous thrombosis; IU, anti‐Xa activity in International Units; LMWH, low molecular weight heparin; POD, postoperative day; TE, thromboembolism; UFH, unfractionated heparin; VTE, venous thromboembolism.

Turpie and Douketis63/single arm cohort 174 66% aortic valve; 34% mitral or dual prosthetic valve Not specified Enoxaparin 1 mg/kg twice daily 2.3% Not specified None
Kovacs et al.61/single arm cohort 224 Prosthetic heart valves or a‐fib plus 1 major risk factor 67 surgical; 157 nonsurgical Preoperative bridging with dalteparin 200 IU/kg daily; dose reduced to 100 IU/kg on preoperative day 1; restarted at 100 IU/kg on POD 1; dose reduced to 5000 IU daily if high risk for bleeding 6.7%; 8/15 occurred intraoperatively or <6 hours postoperatively; 2/15 occurred after 4 weeks Not specified 3.6%; 6/8 episodes occurred after warfarin held secondary to bleeding; 2/8 thrombotic episodes judged to be due to cardioembolism
Douketis et al.59/prospective registry 650 A‐fib 58%; mechanical heart valve 33% 251 surgical; 399 nonsurgical Dalteparin 100 IU/kg twice daily; held after high bleeding risk procedure and patients with poor hemostasis 0.92% 5.9% 0.6%
Spyropolous et al.62/prospective registry; 14 centers in United States and Canada 901 UFH: 40% mechanical valves, 33% a‐fib; LMWH: 24% mechanical valve, 40% a‐fib 394 surgical; 507 nonsurgical LMWH mostly given twice daily 80%; UFH 20% 5.5% UFH; 3.3% LMWH 9.1% UFH; 12.0% LMWH 2.4% UFH; 0.9% LMWH
Dunn et al.66/prospective cohort 260 A‐fib 68% or prior DVT 37% (excluding prosthetic heart valves) 105 surgical; 145 nonsurgical Enoxaparin 1.5 mg/kg daily 3.5% overall; minor surgery/procedures 0.9%; major surgery 28% 42% 1.9%; 1/5 events occurred after bleeding led to withdrawal of AC
Omran et al.77/prospective registry 779 Various indications Major and minor procedures All patients bridged with enoxaparin; moderate TE risk 1 mg/kg daily; high TE risk 1 mg/kg twice daily 0.5%; all in high‐risk group 5.9% 0
Garcia et al.71/prospective, observational cohort of 101 sites in United States 1024 patients with 1293 interruptions of AC A‐fib 53%; VTE 14%; prosthetic valve 13% Outpatient procedures only At discretion of provider. Bridging performed in 8.3% of interruptions; 3% a‐fib, 10% VTE, and 29% mechanical valves 0.6%; 4/6 patients with major bleed received bridging 1.7%;10/17 patients with minor bleed received bridging 0.7%; no events in patients who were bridged
Wysokinski et al.64/prospective cohort 345 consecutive patients undergoing 386 procedures 100% nonvalvular a‐fib Major and minor surgeries/procedures Individualized in AC clinic; 52% of patients bridged 2.7%; no difference whether patient received bridging or not 3.0%; 10/11 occurred in bridged patients 1.1%; no difference in bridged vs. nonbridged patients
Low Molecular Weight Heparin Dosing Regimens Evaluated in Periprocedural Management Studies
Low Molecular Weight Heparin Subcutaneous Dose
  • Abbreviation: IU, anti‐Xa activity in International Units.

Dalteparin
Low dose (prophylaxis dose) 5,000 IU once daily
Full dose 100 IU/kg twice daily or 200 IU/kg once daily
Enoxaparin
Low dose (prophylaxis dose) 30 mg twice daily or 40mg daily
Full dose 1 mg/kg twice daily or 1.5 mg/kg once daily
Tinzaparin (full dose) 175 IU/kg once daily

In the postprocedural setting, timing and dose of anticoagulant is important, as major bleeding with the use of therapeutic anticoagulation can occur in up to 10% to 20% of cases. When restarting anticoagulation after the procedure, it is important to evaluate intraoperative hemostasis and to consider patient‐related factors that may further increase bleeding risk. These include advanced age, concomitant antiplatelet or nonsteroidal antiinflammatory medications, renal insufficiency, placement of spinal/epidural catheter, worsening liver disease, or the presence of other comorbid illnesses such as cancer.30, 67, 68 The ACCP recommends withholding full‐dose anticoagulation for at least 48 to 72 hours in patients who are felt to be at a high risk for postoperative bleeding.1 Figure 2 is a proposed management approach to the use of bridging anticoagulants that is consistent with the 2008 ACCP recommendations.

Figure 2
A 5‐step approach to the periprocedural evaluation and management of patients receiving chronic vitamin K antagonist (VKA) therapy.

CONCLUSION

The evaluation and management of patients on long‐term antiplatelet or VKA therapy who require an invasive procedure or surgery is a common, complicated, and controversial area. Importantly, it is an area in which the hospitalist physician must be adept. Although there remain many unanswered clinical questions, an evolving literature base and recent practice guidelines can help guide management decisions.

The management of patients on long‐term antithrombotic therapy (vitamin K antagonists [VKA] or antiplatelet agents) who may require temporary disruption for an invasive procedure is challenging. Management is controversial due to methodologically limited prospective data and varied consensus opinions. Yet periprocedural anticoagulation management is a commonly encountered clinical problem. It is estimated that there are 2.5 million patients on long‐term VKA therapy in North America1 and 41% of the U.S. population over age 40 years is on antiplatelet therapy.2 Further, the need for temporary disruption of these therapies for an invasive procedure is frequent. As an example, in 1 European study, approximately 15% of patients on long‐term VKA required a major surgical procedure in 4 years of follow‐up.3 The role of the hospitalist physician in managing these patients is increasing as hospitalists care for an increasing number of surgical patients and provide periprocedural consultation both in and out of the hospital. Therefore, it is imperative for the hospitalist physician to be proficient in making thoughtful and individualized recommendations on the appropriate management of periprocedural anticoagulants, drawing from the available literature and evidence‐based practice guidelines. Importantly, the Society of Hospital Medicine has cited perioperative management as an important core competency.4

The hospitalist physician is likely to encounter numerous periprocedural scenarios, including the management of antiplatelet agents, identifying low bleeding risk procedures wherein interruption of anticoagulants is unnecessary, and recognizing patients with a low short‐term thromboembolic risk where anticoagulants can be disrupted without the need for heparin or low molecular weight heparin (LMWH) in the periprocedural period (defined as bridging therapy). Further, all other clinical scenarios require both a careful individualized assessment of the patient's risk of periprocedural bleeding and thromboembolism and a thoughtful discussion with all involved parties. This discussion may involve the person performing the procedure, the anesthesiologist, and the patient. The purpose of this work is to explore these relevant areas through a review of the literature with a particular focus on the recently published 2008 American College of Chest Physicians (ACCP) evidence‐based clinical practice guidelines.

We reviewed medical literature from 1990 through May 2008 with the following key words: bridging, anticoagulation, perioperative, antiplatelet, heparin, and low molecular weight heparin. Individual studies were then independently reviewed by the authors. Studies that were felt relevant to a hospitalist physician were retrieved and reviewed. If there was uncertainty regarding applicability to a hospitalist setting, a second author's opinion was rendered. Additionally, we reviewed 1 author's personal reference list of articles relating to periprocedural anticoagulation that has been compiled over the past 10 years. This list and the reference lists of retrieved articles were also reviewed. Data were summarized to answer 4 clinically relevant questions:

  • What is the optimal management of antiplatelet therapy in the periprocedural period?

  • Are there very low‐bleeding risk procedures that do not require interruption of oral anticoagulation?

  • Are there low thromboembolic risk populations who do not require periprocedural bridging?

  • How do you manage patients who must discontinue anticoagulants but are at an increased thrombotic risk?

Clinical Question #1: What Is the Optimal Management of Antiplatelet Therapy in the Periprocedural Period?

The optimal management of oral antiplatelet therapy in the periprocedural period is not well studied. Most reviews, expert recommendations, and consensus statements either do not comment on periprocedural antiplatelet management or recommend the routine discontinuation of therapy at least 7 days prior to surgery.3, 5, 6 However, as the 2008 ACCP guidelines highlight, the recommendation to routinely discontinue antiplatelet therapy 7 days prior to the procedure is an oversimplification.1 In the era of both bare metal cardiac stents and drug‐eluting stents, the optimal management of these patients requires that 2 primary questions be asked: (1) Is this a low‐bleeding risk procedure whereby antiplatelet therapy can be continued? (2) Does the patient have a coronary stent whereby the continuation of antiplatelet therapy or delay of the intervention is necessary?

In the context of ongoing aspirin therapy, certain procedures have a low risk of significant hemorrhagic complications. These low bleeding risk procedures include cataract surgery, cutaneous surgery, oral surgery, and endoscopic procedures, including those with mucosal biopsies.710 Patients undergoing these procedures may safely continue low dose aspirin therapy, especially if they have a high‐risk indication for their aspirin such as recent myocardial infarction, stroke, or the presence of a coronary stent.5, 710 Whether these procedures can be safely performed in the setting of a thienopyridine or combination antiplatelet therapy is uncertain.

In the past several decades, the management of obstructive coronary artery disease has undergone a major evolution. Placement of coronary stents has become commonplace, and there are now several million patients with drug‐eluting stents.11 The major complication of these devices is stent thrombosis, which results in death or myocardial infarction in up to 64% of patients.12 Fortunately, dual antiplatelet therapy (aspirin and a thienopyridine such as clopidogrel) markedly reduces this risk.13 Current guidelines recommend using combination antiplatelet therapy for at least 4 to 6 weeks and ideally up to 12 months after placement of a bare metal stent and at least 12 months after placement of either a sirolimus‐ or paclitaxel‐eluting stent.1, 14 During this period of dual antiplatelet therapy, the premature discontinuation of the thienopyridine may be catastrophic. To guide clinicians in managing these patients in the periprocedural period, recent consensus guidelines recommend the following:1, 12

  • In patients who are expected to need an invasive surgical procedure in the next 12 months, consideration should be given to avoiding drug‐eluting stents.

  • Elective procedures which have an increased risk of bleeding should be deferred for at least 6 weeks after bare metal stent implantation and 12 months after drug‐eluting stent implantation.

  • For patients undergoing a surgical procedure within 6 weeks of bare metal stent implantation and 12 months of drug‐eluting stent implantation, continuation of aspirin and clopidogrel is recommended. If bleeding risk prohibits this, then a cardiologist should be consulted.

  • In patients with a drug‐eluting stent who need to undergo a procedure whereby the thienopyridine needs to be discontinued, aspirin should be continued if at all possible, and the thienopyridine should be resumed as soon as possible after the procedure. It may be reasonable to consider a loading dose of clopidogrel, up to 600 mg, in this setting, although prospective supportive data is lacking.1

It is important to recognize that delayed stent thrombosis is now reported well beyond 1 year after drug‐eluting stent implantation, and that there may not be a diminution in risk after the initial 12 months.1517 Until additional data is available, it seems prudent, if possible, to at least continue aspirin in the periprocedural period in these patients. If bleeding concerns obviate this, then antiplatelet therapy should be discontinued and resumed as soon as possible.

For patients on chronic antiplatelet therapy who do not have a cardiac stent and who are not undergoing a low‐bleeding‐risk procedure, the risks and benefits of the continuation or discontinuation of antiplatelet therapy in the periprocedural period are uncertain as absolute risks in the periprocedural period have not been well studied. Relative risks/benefits, however, can be estimated from prior studies. Aspirin leads to an approximate 25% relative risk reduction in cardiac or thrombotic event rates compared to placebo.14, 18 Although important, the absolute benefit of 1 week of therapy (vs. no therapy during the periprocedural period) is estimated to be small. The small absolute benefit of continued aspirin therapy may be offset by an increase in significant bleeding events. Although, not well studied, continued aspirin increases significant bleeding by 50% with absolute event rates varying by type of procedure.8 In some procedures, such as intracranial surgery or transurethral prostatectomy, this bleeding risk is prohibitive. For others, the risk may be modest and the decision to continue vs. discontinue aspirin therapy may be at the discretion of the person performing the procedure. In general, for most patients who do not have a coronary stent and have not had a recent (past 3 months) myocardial infarction or stroke, discontinuation of antiplatelet therapy 7 to 10 days prior to the procedure seems prudent. The primary exceptions are patients who are undergoing percutaneous coronary intervention or coronary artery bypass grafting. For these procedures continuing aspirin is recommended.1 Figure 1 outlines a proposed management strategy based upon available evidence and guidelines.

Figure 1
A management algorithm of antiplatelet therapy in the periprocedural period. The optimal management of antiplatelet agents in the periprocedural period is not well studied. This algorithm draws from available evidence and is consistent with recent practice guidelines by the American College of Chest Physicians1 and the American Heart Association.14 *Low–bleeding‐risk procedures include cutaneous, endoscopic, and oral surgery. ⁁High‐risk indications for antiplatelet therapy include a recent cardiac event or stroke (past 3 months) or the need for percutaneous coronary intervention or coronary artery bypass surgery.

Clinical Question #2: Are There Very‐Low‐Bleeding‐Risk Procedures That Do Not Require Interruption of Oral Anticoagulation?

Some procedures are associated with a low‐enough risk of bleeding that it is safe to proceed without interrupting VKA anticoagulation. This approach spares the risk and cost that occur with the holding of oral anticoagulants and institution of bridging therapy. When considering this strategy, it is important that the specialist performing the procedure is included in the discussion. Dental, dermatologic, and cataract procedures are common outpatient procedures that are associated with low bleeding risk. The relative safety of these procedures in patients who are anticoagulated is discussed thoroughly in the ACCP guidelines.1 Other low‐bleeding‐risk procedures for which a hospitalist may be consulted include certain endoscopic procedures, paracentesis, central venous catheter placement, and arthrocentesis.

The American Society for Gastrointestinal Endoscopy has published guidelines recommending that anticoagulation can be safely continued in patients undergoing the following endoscopic procedures with a low bleeding risk: esophagogastroduodenoscopy (EGD), flexible sigmoidoscopy, and colonoscopy, all with or without mucosal biopsy; enteroscopy, biliary/pancreatic stent placement, endoscopic ultrasound without biopsy, and endoscopic retrograde cholangiopancreatography (ERCP) without sphincterotomy.19 Conversely, high‐risk procedures for which interruption of anticoagulation is recommended include polypectomy, biliary sphincterotomy, variceal treatment, percutaneous endoscopic gastrostomy (PEG) placement, dilation of strictures, and endoscopic ultrasound‐guided fine‐needle aspiration.

Limited data suggest that paracentesis, central venous catheter placement, and arthrocentesis may be safe to perform in the setting of anticoagulation. For patients undergoing paracentesis there is little evidence in anticoagulated patients; however, it is probably safe to continue anticoagulation as studies have demonstrated the safety of this procedure in patients with significant thrombocytopenia and coagulopathy.20, 21 Limited data also supports that central venous catheter placement may be safely performed in the setting of abnormal coagulation tests, although some recommend avoiding the subclavian site due to the risk of hemothorax and the inability to apply adequate compression.2226 With regard to arthrocentesis, multiple authors have endorsed the idea that joint and soft‐tissue aspirations and injections present a low risk of serious bleeding even with anticoagulation.2729 This is supported by limited data.30, 31

Other procedures such as lumbar puncture, thoracentesis, and cardiac catheterization are somewhat more controversial in the anticoagulated patient. Anticoagulation should generally be interrupted for lumbar puncture,29, 32 as 1 study involving patients who were started on heparin immediately after the procedure had a 2% incidence of spinal hematoma and 6.7% major complication rate.33 With regard to thoracentesis, evidence is very limited, but experts generally accept that it may be safely performed in patients with mild coagulopathy.34, 35 One frequently‐cited study found no bleeding complications in 57 patients with mild elevation in prothrombin time, which correlated to an International Normalized Ratio of approximately 2.2 or less.36 A recent report also revealed no serious bleeding complications in 33 thoracenteses performed on patients receiving full anticoagulation with warfarin, heparin, and/or low molecular weight heparin.37

Therapeutic anticoagulation has traditionally been felt to be a relative contraindication to cardiac catheterization.38, 39 In spite of this, several observational studies have suggested it may be safely performed using a standard approach,40 using vascular closure devices,41 or using a radial artery approach instead of the more commonly used femoral site.4244 The small size of these observational reports, the diagnostic rather than therapeutic nature of most cases, the limited use of other antithrombotic and antiplatelet medications, and the experience required to use the transradial approach are all major limitations preventing widespread acceptance of cardiac catheterization in therapeutically anticoagulated patients.

In summary, there are numerous procedures that may be safely pursued in the setting of therapeutic anticoagulation. However, for most of these procedures the data is somewhat limited. As such, it is paramount for the hospitalist physician to recognize these clinical scenarios and to discuss management options with the patient and the person performing the procedure, if applicable.

Clinical Question #3: Are There LowThromboembolic‐Risk Populations Who Do Not Require Periprocedural Bridging?

Although it has previously been noted that there is a wide variation of opinion on when and how to perform periprocedural bridging, it is generally agreed that in the following conditions the risk of thrombosis is low enough that bridging with full dose heparin or LMWH is not necessary:1, 5, 4549

  • Atrial fibrillation without previous stroke or transient ischemic attack (TIA) and no more than 2 additional thrombotic risk factors on the CHADS2 scoring system (Table 1).

  • A single venous thromboembolic event that occurred greater than 12 months ago with no ongoing risk factors such as active malignancy, high risk thrombophilia, or the antiphospholipid antibody syndrome.

  • Bileaflet aortic valve without the presence of additional risk factors (ie, patients <75 years of age with the absence of atrial fibrillation, prior stroke or transient ischemic attack, hypertension, diabetes, or congestive heart failure).

CHADS2 Scoring System
CHADS2 Score* Annual Risk of Stroke (%)
  • NOTE: CHADS2 scoring system is a validated risk assessment tool for evaluating the annual stroke risk in patients with atrial fibrillation.69

  • 1 point each for: congestive heart failure, hypertension, age 75 years, and diabetes mellitus; 2 points for stroke/TIA.

  • Abbreviations: CHADS2, congestive heart failurehypertensionage 75 yearsdiabetes mellitusstroke/TIA; TIA, transient ischemic attack.

0 1.9
1 2.8
2 4.0
3 5.9
4 8.5
5 12.5
6 18.2

Clinical Question #4: How Do You Manage Patients Who Must Discontinue Anticoagulants But Are at an Increased Thrombotic Risk?

When anticoagulation must be held and the patient does not have a very low thromboembolic risk, a decision of whether or not to use bridging anticoagulation must be made. The current ACCP guideline gives grade 1C and 2C recommendations (evidence from observational studies, case series, or controlled trials with serious flaws) regarding for whom and how to implement bridging.1 The grade C designation is due to a lack of high‐quality randomized clinical trials. As such, the clinician must carefully consider an individual patient's estimated thromboembolic risk, procedurally‐related bleeding risk, patient‐related bleeding risk factors, and the patient's values regarding concerns of thromboembolism or bleeding. In these situations it is also imperative that the person performing the procedure is involved in the risk‐to‐benefit discussion.

When evaluating an individual patient's risk of thromboembolism, clinicians sometimes estimate the perioperative risk by prorating the annual incidence of thromboembolic complications to the few days that anticoagulation is withheld.67 Making this extrapolation discounts the effect of a potential increase in thromboembolic risk induced by surgery. As an example, an average patient with atrial fibrillation who has a 5% predicted annual stroke rate would be estimated to have a stroke risk of 0.05% if they are not anticoagulated for 4 days. However, studies have shown that the actual rate of perioperative thromboembolism is approximately 1%.1 With these limitations and uncertainties in mind, and until there is better prospective outcomes data, we must consider relative risks in the context of absolute event rate estimates when deciding a perioperative anticoagulant management plan. The estimated annual incidence of thrombosis without anticoagulation for various indications and the current guideline recommendations are presented in Table 2.

Summary of Guidelines on Bridging Therapy
Practice Guideline Preferred Management Recommendations
Indication for chronic anticoagulation Estimated Annual Thrombotic Risk Without Anticoagulation ACCP*1 ACC/AHA45, 46 British Haematologic Society70
  • Abbreviations: ACC, American College of Cardiology; ACCP, American College of Chest Physicians; A‐fib, atrial fibrillation; AHA, American Heart Association; CHADS2, CHFHtnage 75 yearsDMstroke/TIA (see Table 1); CHF, congestive heart failure; CVA, cerebrovascular accident; DM, diabetes mellitus; Htn, hypertension; N/A, not applicable; TIA, transient ischemic attack; VTE, venous thromboembolism.

  • ACCP recommends withholding full‐dose anticoagulation for 48‐72 hours postprocedure in patients at high risk of postoperative bleeding.

  • Extrapolated from the British Committee for Standards in Haemotology.

  • Risk factors: A‐fib, prior stroke or TIA, Htn, DM, CHF, age >75 years.

Dual prosthetic or older‐generation valve >10% Bridge Bridge Bridge
VTE within 3 months or severe thrombophilias Bridge N/A Bridge
Pregnancy with prosthetic valve Bridge Bridge N/A
Bileaflet valve in the mitral position Bridge Bridge Prophylaxis
Valve with acute embolism <6 months Bridge N/A Bridge
A‐fib valvular or CHADS2 score 5‐6 Bridge Consider bridging N/A
Recurrent venous thromboembolism 4‐10% Bridge N/A N/A
VTE within 3‐12 months or active cancer Bridge N/A Prophylaxis
Bileaflet aortic valve with additional risk factors Bridge Bridge Prophylaxis
A‐fib CHADS2 score 3‐4 Bridge Consider bridging N/A
Bileaflet aortic valve without additional risk factors <4% Prophylaxis or no bridging No bridging Prophylaxis
VTE >12 months Prophylaxis or no bridging N/A Prophylaxis
A‐fib CHADS2 score 0‐2 and no previous CVA/TIA Prophylaxis or no bridging No bridging N/A

In addition to thromboembolic risk, we must also consider the bleeding risk associated with the procedure/surgery. Importantly, therapeutic heparin started early in the postoperative period is associated with major bleeding event rates as high as 10% to 20%.1, 50 Once a major bleeding event occurs, this will often lead to an extended interruption of anticoagulant therapy, placing the patient at a more prolonged risk of an associated thromboembolic event. For this reason, the resumption of full‐dose anticoagulation with LMWH/heparin should be delayed for at least 48 hours in most patients undergoing a surgery or procedure associated with an increased risk of bleeding. Examples of these higher‐bleeding‐risk procedures include major thoracic surgery, intracranial or spinal surgery, major vascular surgery, major orthopedic surgery, urologic surgery involving the bladder or prostrate, major oncologic surgery, reconstructive plastic surgery, colonoscopy with associated polypectomy, renal or prostate biopsies, and placement of a cardiac pacemaker/defibrillator.1, 5157

Taken together, these uncertainties surrounding thromboembolic and bleeding risk estimates imply that there are multiple options for periprocedural management. Several studies, many of which included patients with mechanical heart valves, have shown similar safety and efficacy between LMWH and intravenous (IV) unfractionated heparin.5864 Table 3 summarizes these studies. The ACCP recommends bridging with LMWH over IV unfractionated heparin due to equal efficacy and cost savings with LMWH.1 When bridging is used, careful attention must be given to the timing and dose of anticoagulation in both the preoperative and postoperative periods. Table 4 lists dosing of commonly used LMWHs in North America. When using LMWHs in the preprocedural setting it is important to note that unacceptably high levels of anticoagulation remain present when a patient is given a full once‐daily LMWH dose the morning prior to the procedure or when a full‐dose, twice‐daily LMWH dose is given the evening prior to the procedure.65, 66 For this reason, the ACCP recommends administering the last preoperative dose 24 hours before surgery and if full‐dose once‐daily LMWH is used, the dose should be decreased by one‐half on the day before the surgery in order to ensure that no residual anticoagulant effect remains at the time of surgery.

Summary of Key Bridging Studies
AuthorReference/Study Type Number of Patients Patient Population Type of Procedure Bridging Strategy Major Bleeds Minor Bleeds TE Rate
  • NOTE: Studies included are prospective cohort studies with at least 150 patients and registries with greater than 500 patients in which consecutive patients were followed for postintervention outcome assessment.

  • Abbreviations: AC, anticoagulation; a‐fib, atrial fibrillation; bid, twice daily; DVT, deep venous thrombosis; IU, anti‐Xa activity in International Units; LMWH, low molecular weight heparin; POD, postoperative day; TE, thromboembolism; UFH, unfractionated heparin; VTE, venous thromboembolism.

Turpie and Douketis63/single arm cohort 174 66% aortic valve; 34% mitral or dual prosthetic valve Not specified Enoxaparin 1 mg/kg twice daily 2.3% Not specified None
Kovacs et al.61/single arm cohort 224 Prosthetic heart valves or a‐fib plus 1 major risk factor 67 surgical; 157 nonsurgical Preoperative bridging with dalteparin 200 IU/kg daily; dose reduced to 100 IU/kg on preoperative day 1; restarted at 100 IU/kg on POD 1; dose reduced to 5000 IU daily if high risk for bleeding 6.7%; 8/15 occurred intraoperatively or <6 hours postoperatively; 2/15 occurred after 4 weeks Not specified 3.6%; 6/8 episodes occurred after warfarin held secondary to bleeding; 2/8 thrombotic episodes judged to be due to cardioembolism
Douketis et al.59/prospective registry 650 A‐fib 58%; mechanical heart valve 33% 251 surgical; 399 nonsurgical Dalteparin 100 IU/kg twice daily; held after high bleeding risk procedure and patients with poor hemostasis 0.92% 5.9% 0.6%
Spyropolous et al.62/prospective registry; 14 centers in United States and Canada 901 UFH: 40% mechanical valves, 33% a‐fib; LMWH: 24% mechanical valve, 40% a‐fib 394 surgical; 507 nonsurgical LMWH mostly given twice daily 80%; UFH 20% 5.5% UFH; 3.3% LMWH 9.1% UFH; 12.0% LMWH 2.4% UFH; 0.9% LMWH
Dunn et al.66/prospective cohort 260 A‐fib 68% or prior DVT 37% (excluding prosthetic heart valves) 105 surgical; 145 nonsurgical Enoxaparin 1.5 mg/kg daily 3.5% overall; minor surgery/procedures 0.9%; major surgery 28% 42% 1.9%; 1/5 events occurred after bleeding led to withdrawal of AC
Omran et al.77/prospective registry 779 Various indications Major and minor procedures All patients bridged with enoxaparin; moderate TE risk 1 mg/kg daily; high TE risk 1 mg/kg twice daily 0.5%; all in high‐risk group 5.9% 0
Garcia et al.71/prospective, observational cohort of 101 sites in United States 1024 patients with 1293 interruptions of AC A‐fib 53%; VTE 14%; prosthetic valve 13% Outpatient procedures only At discretion of provider. Bridging performed in 8.3% of interruptions; 3% a‐fib, 10% VTE, and 29% mechanical valves 0.6%; 4/6 patients with major bleed received bridging 1.7%;10/17 patients with minor bleed received bridging 0.7%; no events in patients who were bridged
Wysokinski et al.64/prospective cohort 345 consecutive patients undergoing 386 procedures 100% nonvalvular a‐fib Major and minor surgeries/procedures Individualized in AC clinic; 52% of patients bridged 2.7%; no difference whether patient received bridging or not 3.0%; 10/11 occurred in bridged patients 1.1%; no difference in bridged vs. nonbridged patients
Low Molecular Weight Heparin Dosing Regimens Evaluated in Periprocedural Management Studies
Low Molecular Weight Heparin Subcutaneous Dose
  • Abbreviation: IU, anti‐Xa activity in International Units.

Dalteparin
Low dose (prophylaxis dose) 5,000 IU once daily
Full dose 100 IU/kg twice daily or 200 IU/kg once daily
Enoxaparin
Low dose (prophylaxis dose) 30 mg twice daily or 40mg daily
Full dose 1 mg/kg twice daily or 1.5 mg/kg once daily
Tinzaparin (full dose) 175 IU/kg once daily

In the postprocedural setting, timing and dose of anticoagulant is important, as major bleeding with the use of therapeutic anticoagulation can occur in up to 10% to 20% of cases. When restarting anticoagulation after the procedure, it is important to evaluate intraoperative hemostasis and to consider patient‐related factors that may further increase bleeding risk. These include advanced age, concomitant antiplatelet or nonsteroidal antiinflammatory medications, renal insufficiency, placement of spinal/epidural catheter, worsening liver disease, or the presence of other comorbid illnesses such as cancer.30, 67, 68 The ACCP recommends withholding full‐dose anticoagulation for at least 48 to 72 hours in patients who are felt to be at a high risk for postoperative bleeding.1 Figure 2 is a proposed management approach to the use of bridging anticoagulants that is consistent with the 2008 ACCP recommendations.

Figure 2
A 5‐step approach to the periprocedural evaluation and management of patients receiving chronic vitamin K antagonist (VKA) therapy.

CONCLUSION

The evaluation and management of patients on long‐term antiplatelet or VKA therapy who require an invasive procedure or surgery is a common, complicated, and controversial area. Importantly, it is an area in which the hospitalist physician must be adept. Although there remain many unanswered clinical questions, an evolving literature base and recent practice guidelines can help guide management decisions.

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  69. Gage BF,Waterman AD,Shannon W,Boechler M,Rich MW,Radford MJ.Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation.JAMA.2001;285(22):28642870.
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  71. Garcia DA,Regan S,Henault LE, et al.Risk of thromboembolism with short‐term interruption of warfarin therapy.Arch Intern Med.2008;168(1):6369.
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  40. El‐Jack SS,Ruygrok PN,Webster MW, et al.Effectiveness of manual pressure hemostasis following transfemoral coronary angiography in patients on therapeutic warfarin anticoagulation.Am J Cardiol.2006;97(4):485488.
  41. Jessup DB,Coletti AT,Muhlestein JB,Barry WH,Shean FC,Whisenant BK.Elective coronary angiography and percutaneous coronary intervention during uninterrupted warfarin therapy.Catheter Cardiovasc Interv.2003;60(2):180184.
  42. Hildick‐Smith DJ,Walsh JT,Lowe MD,Petch MC.Coronary angiography in the fully anticoagulated patient: the transradial route is successful and safe.Catheter Cardiovasc Interv.2003;58(1):810.
  43. Lo TS,Buch AN,Hall IR,Hildick‐Smith DJ,Nolan J.Percutaneous left and right heart catheterization in fully anticoagulated patients utilizing the radial artery and forearm vein: a two‐center experience.J Interv Cardiol.2006;19(3):258263.
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  46. Fuster V,Ryden LE,Asinger RW, et al.ACC/AHA/ESC guidelines for the management of patients with atrial fibrillation: executive summary. A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines and Policy Conferences (Committee to Develop Guidelines for the Management of Patients With Atrial Fibrillation): developed in Collaboration With the North American Society of Pacing and Electrophysiology.J Am Coll Cardiol.2001;38(4):12311266.
  47. Jafri SM.Periprocedural thromboprophylaxis in patients receiving chronic anticoagulation therapy.Am Heart J.2004;147(1):315.
  48. Kearon C,Hirsh J.Management of anticoagulation before and after elective surgery.N Engl J Med.1997;336(21):15061511.
  49. Tiede DJ,Nishimura RA,Gastineau DA,Mullany CJ,Orszulak TA,Schaff HV.Modern management of prosthetic valve anticoagulation.Mayo Clin Proc.1998;73(7):665680.
  50. Landefeld CS,Beyth RJ.Anticoagulant‐related bleeding: clinical epidemiology, prediction, and prevention.Am J Med.1993;95(3):315328.
  51. Hoy E,Granick M,Benevenia J,Patterson F,Datiashvili R,Bille B.Reconstruction of musculoskeletal defects following oncologic resection in 76 patients.Ann Plast Surg.2006;57(2):190194.
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Issue
Journal of Hospital Medicine - 4(9)
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Journal of Hospital Medicine - 4(9)
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Periprocedural antithrombotic management: A review of the literature and practical approach for the hospitalist physician
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Periprocedural antithrombotic management: A review of the literature and practical approach for the hospitalist physician
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anticoagulants, antiplatelet, bridging therapy, major hemorrhage, periprocedural, thrombosis
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Hospital Leader Survey

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California hospital leaders' views of hospitalists: Meeting needs of the present and future

In the late 1990s, hospitalist systems grew rapidly in an environment where cost containment was paramount, complexity of patients increased, and outpatient practices experienced increasing productivity and efficiency pressures.15 While the healthcare delivery environment has changed significantly since that time,68 hospitalists have continued to become more common. In fact, the field's present size of more than 25,000 has already exceeded early projections, and there are no signs of slackening demand.911

Growth has been attributed to primary care physicians' increasing focus on outpatient care, hospitals' response to financial pressures, and the need to facilitate improved communication among various hospital care providers.1216 Hospital leadership has played a similarly important role in fueling the growth of hospitalists, particularly since the vast majority of programs require and receive institutional (usually hospital) support.17 However, the factors that continue to influence leaders' decisions to utilize hospitalists and the current and future needs that hospitalists are fulfilling are unknown. Each of these factors is likely to impact growth of the field, as well as the clinical and organizational identity of hospitalists. In addition, an understanding of the market demand for hospitalists' competencies and the roles they play in the hospital may inform any changes in board certification and training for hospitalists.11, 1821

To gain a more complete understanding of a key part of the engine driving the growth of hospitalists, we performed a cross‐sectional survey of California hospital leaders who were involved with the funding or administration of their hospitalist groups. Our survey aimed to understand: (1) the prevalence of hospitalist groups in California hospitals, (2) hospital leaders' rationale for initiating the use of hospitalists, (3) the scope of clinical and nonclinical practice of hospitalists, and 4) hospital leaders' perspective on the need for further training and/or certification.

Materials and Methods

Sites and Subjects

We targeted all nonfederal, nonspecialty, acute care hospitals in California (n = 334) for this survey. We limited our survey to California in order to maximize our local resources and to improve implementation of and response to the survey. Additionally, California's size and diversity gives it disproportionate impact and potential generalizability. At each site, we focused our efforts on identifying and surveying executives or administrative leaders involved in organizational and staff decisions, specifically the decision whether or not to hire and/or fund a hospitalist program and potentially direct its activities (described in more detail below). The University of California, San Francisco, Committee on Human Research approved the research protocol.

We identified hospital leaders at each site by merging information from multiple sources. These included the American Hospital Association database, the California Hospital Association, the Hospital Association of Southern California (HASC), the California Health Care Safety Net Institute, and individual hospital websites.

Survey Development

Our survey was based upon instruments used in previous research examining hospital medicine group organizational structure15, 22 and enhanced with questions developed by the research team (A.D.A., E.E.V., R.M.W.). The survey was pretested in an advisory group of 5 hospital Chief Executive Officers (CEOs), Chief Medical Officers (CMOs), and Vice Presidents for Medical Affairs (VPMAs) from sites across California. Based on their input, we removed, edited, or added questions to our survey. This advisory group also helped the research team design our survey process.

Our final survey defined a hospitalist as a physician who spends all or the majority of his or her clinical, administrative, educational, or research activities in the care of hospitalized patients.4 We collected data in 4 areas: (1) We asked hospital leaders to confirm the presence or absence of at least 1 hospitalist group practicing within the surveyed hospital. We also asked for the year the first hospitalist group began practicing within the specified hospital. (2) We asked hospital leaders to indicate, among a prespecified list of 11 choices, the reason(s) they implemented a hospitalist group at the surveyed hospital. Surveyed categories included: (a) care for uncovered patients (patients without an identified doctor and/or uninsured), (b) improve costs, (c) improve length of stay, (d) improve emergency department throughput, (e) primary care provider demand, (f) improve patient satisfaction, (g) improve emergency room staffing, (h) quality improvement needs, (i) specialist physician demand, (j) overnight coverage, and (k) surgical comanagement. Due to the close relationship between cost and length of stay, we combined these 2 categories into a single category for reporting and analysis. This resulted in 10 final categories. We asked leaders who did not identify a practicing hospitalist group about the likelihood of hospitalists practicing at their hospital within the next 5 years and the reason(s) for future implementation. (3) We asked leaders to describe the services currently provided among a prespecified list of clinical care duties that go beyond the scope of inpatient general internal medicine (eg, surgical comanagement, rapid response team leadership) as well as nonclinical duties (eg, quality improvement activities, systems project implementation). If hospitalists did not currently provide the identified service, we asked leaders to indicate if they would be inclined to involve hospitalists in the specified service in the future. (4) Finally, we asked hospital leaders their opinion regarding the need for further training or certification for hospitalists.

Survey Protocol

We administered surveys between October 2006 and April 2007. We initially emailed the survey. We repeated this process for nonrespondents at intervals of 1 to 3 weeks after the initial emailing. Next, we sent nonrespondents a physical mailing with a reminder letter. Finally, we made phone calls to those who had not responded within 4 weeks of the last mailed letter. We asked survey recipients to respond only if they felt they had an adequate working knowledge of the hospitalist service at their hospital. If they did not feel they could adequately answer all questions, we allowed them to forward the instrument to others with a better working knowledge of the service.

Because we allowed recipients to forward the survey, we occasionally received 2 surveys from 1 site. In this case, we selected the survey according to the following prioritization order: (1) CEOs/COOs, (2) CMOs, (3) VPMAs, and (4) other vice presidents (VPs) or executive/administrative leaders with staff organization knowledge and responsibilities.

Hospital Descriptive Data

We obtained hospital organizational data from the California Office of Statewide Health Planning and Development's (OSHPD) publicly available Case Mix Index Data, hospital Annual Financial Data, aggregated Patient Discharge Data, and Utilization Data from 2006.23 Organizational characteristics included hospital size, location, profit status, payor mix, and diagnosis‐related groupbased case‐mix. Teaching status was determined from the 2005 American Hospital Association database. Membership status in California's voluntary quality reporting initiative, California Hospital Assessment and Reporting Taskforce (CHART), was publicly available at http://www.calhospitalcompare.org.

Statistical Analyses

We performed univariable analyses to characterize survey respondents, followed by bivariable analyses to compare hospital characteristics and patient mix of responding and nonresponding hospitals. We used similar methods to characterize respondent hospitals with and without at least 1 hospitalist group. We compared continuous data with the Students t tests or Mann‐Whitney tests as appropriate and categorical data with chi‐square tests.

We then summarized the number of times a specific rationale was cited by hospital leaders for implementing a hospitalist group. Among hospitals that did not have a hospitalist system in place at the time of the survey, we asked if they were planning on starting one within the next 5 years. For these hospitals, we used content analysis to summarize open‐ended responses in order to understand factors that are currently influencing these hospital leaders to consider implementing a hospitalist group.

Next, we aimed to understand what clinical and nonclinical roles hospitalists were performing in hospitals with established hospitalist programs. Clinical activities were divided into general clinical areas, triage/emergency‐related, or administrative activities. First, we summarized the number and percent of programs performing each clinical and nonclinical activity. This was followed by logistic regression analyses to assess whether the time period that hospitalist groups began practicing or additional hospital characteristics predicted the performance of individual hospitalist activities. To guard against overfitting of models, analyses were limited to rationales that were cited a minimum of 50 times.24 Hospital factors were selected on the basis of face validity and advisory group input and included hospital bed size, ownership status (public vs. private), teaching status, and membership status in CHART. We divided the year of hospitalist program implementation into 3 time periods: (1) before 2002, (2) between 2002 and 2004, and (3) 2005 or later.

Finally, we described the percentage of hospitals that favored having their hospitalist group(s) perform each of the identified clinical or nonclinical activities, if they were not already performing them. We performed analyses with statistical software (Stata Version 9.2, College Station, TX).

Results

Respondent Characteristics

We received 200 survey responses. Of those, we excluded 15 duplicates (eg, a survey from both the CEO and VPMA) and 6 responses identified as coming from hospitalists who did not have a leadership position in the hospital. Thus, the final hospital leader survey response rate was 54% (n = 179). Forty‐six percent of the final responses were from CEOs or COOs; 37% of responses were from CMOs, VPMAs, and medical directors; and the remaining 17% of responses were from other VPs or administrative directors.

Respondent and nonrespondent hospitals were statistically similar in terms of teaching status and participation in CHART. Hospital patient census, intensive care unit census, payer mix, and diagnosis‐related groupbased case‐mix revealed no statistically significant differences between groups (P > 0.05). Respondent hospitals tended to have fewer beds and were more often for‐profit compared to nonrespondents (P = 0.05 and P < 0.01, respectively).

Descriptive Characteristics of Hospitals with Hospitalists

Sixty‐four percent (n = 115) of hospital leaders stated that they utilized hospitalists for at least some patients. Hospitals with hospitalists were statistically more likely (P < 0.05) to be larger, a major teaching hospital, or a member of a voluntary quality reporting initiative (Table 1).

Distribution of Hospitals with and without at Least One Identified Hospitalist Group Among Respondent Hospitals
VariableHospitals without Hospitalists (n = 64) [n (%)]Hospitals with Hospitalists (n = 115) [n (%)]P Value*
  • P values based on chi‐square test of statistical independence for categorical data. Totals may not add to 100% due to rounding.

Hospital size (total number of beds)   
0‐9933 (51.6)18 (15.7)<0.001
100‐19919 (29.7)32 (27.8) 
200‐2995 (7.8)23 (20.0) 
300+7 (10.9)42 (36.5) 
Hospital control  0.12
City/county8 (12.5)7 (6.1) 
District15 (23.4)17 (14.8) 
For‐profit10 (15.6)16 (13.9) 
Non‐profit31 (48.4)71 (61.7) 
University of California0 (0.0)4 (3.5) 
Teaching hospital8 (12.5)30 (26.1)0.03
Member of voluntary quality reporting initiative27 (42.2)93 (80.9)<0.001

Among all hospitals with hospitalists, 39% estimated that hospitalists cared for at least one‐half of admitted medical patients, and 7% stated that hospitalists cared for all patients. Twenty‐four percent of respondents were unable to provide a quantitative estimate of the percent of patients cared for by hospitalists. When asked about expectations of growth in the coming year, 57% of respondents with hospitalists expected to see increases in the number of hospitalists at their hospital, and none expected a decrease. Among the 64 respondent hospitals that currently did not have a hospitalist program, 44% (n = 28) of the hospital leaders felt hospitalists would be managing patients in the future. Of those, 93% felt this would occur within the next 2 years.

Reasons for Implementing Hospitalists

Hospital leaders reported that the most important reasons for implementing a hospitalist model included caring for uncovered patients (68%), decreasing hospital costs and length of stay (63%), and improving throughput in the emergency room (62%). We provide additional reasons in Figure 1. In addition, leaders often identified multiple factors in the decision to utilize hospitalists, including demand from primary care doctors, patient satisfaction, and quality improvement. Among the 28 hospitals that currently did not have hospitalists but anticipated that they would soon (data not shown), the need to improve quality was the most commonly cited reason (54% of respondents) for expecting to start a program within 2 years, followed by demand from primary care doctors (46% of respondents).

Figure 1
Reasons for implementing a hospitalist system among respondent hospital leaders with a hospitalist system (n = 115). [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Clinical Practice of Hospitalists and Expectations for Future Growth

Hospitalists perform a wide array of clinical and nonclinical duties (Figure 2). In addition to general medical care, the most common clinical activities of hospitalists included screening medical admissions from the emergency room for appropriateness of admission and triaging to appropriate level of care (67%), triaging patients transferred from an outside hospital (72%), and comanaging surgical patients (66%). The most common nonclinical activity was participation in quality improvement activities (72%). Multivariable analyses demonstrated that the performance of the most prevalent activities was not usually associated with the year of hospitalist implementation or hospital characteristics. An exception was that newly initiated programs had a statistically significant decreased odds of involvement in clinical guideline development (odds ratio [OR], 0.3; 95% confidence interval [CI], 0.1‐0.9) and a trend toward decreased leadership in quality improvement (OR, 0.3; 95% CI, 0.1‐1.1). Hospitalists at teaching hospitals had increased odds of managing patient transfers (OR, 4.7; 95% CI, 1.0‐21.2), whereas for‐profit hospitals had lower odds of screening patients in the emergency room (OR, 0.1; 95% CI, 0.0‐0.7).

Figure 2
Activities provided by hospitalists among respondent hospitals with hospitalists (n = 101). [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Among those hospitals with hospitalists who were not presently involved in any of the above activities, there was a widespread interest among hospital leaders to have their hospitalist group(s) lead or participate in them (Figure 3). The most commonly cited activities included participation in inpatient clinical guideline development (85%), implementation of system‐wide projects (81%) (eg, computerized physician order entry system), participation on a rapid response team (80%), and caring for patients in an observation unit (80%).

Figure 3
Activities hospital leaders would like to have implemented by their current hospitalist group(s), if not currently providing. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Training and Certification for Hospitalists

About two‐thirds (64%) of hospital leaders with a hospitalist group(s) agreed or strongly agreed that hospitalists should have additional training and/or certification. Seventeen percent were undecided, whereas 11% either disagreed or strongly disagreed, and the remaining 8% did not provide an opinion.

Discussion

Most California hospital leaders reported utilizing hospitalists, and a substantial number of those without a hospitalist service plan to implement one in the next 5 years. Our data suggest that the number of hospitalists and their roles will continue to expand, with quality improvement activities and participation in clinical roles outside of general medical care being key priorities for future growth. Interestingly, much of this growth may not be catalyzed by past drivers (such as need to contain costs or length of stay) but by increasing need to implement quality and safety initiatives, as well as demand from other physicians. As a result, the field of hospital medicine will grow in numbers and breadth of practice. Defining the typical practice of a hospitalist may become more challenging.

Consistent with previous work,11, 16 our data suggest widespread adoption of hospitalists. While our data demonstrates that academic hospitals in California were more likely to have hospitalists, it is also important to note that hospitalist systems were widespread across a wide range of hospital sizes and ownership types. The prevalence appears likely to increase in the future. None of the hospitals surveyed planned to eliminate or reduce the size of their programs. Among hospitals without a hospitalist program, 44% (n = 28) reported they were going to implement a hospitalist group within the next 2 years. Future workforce development must consider this growth in order to increase physician supply to meet the demands of hospitalist growth.

Consistent with prior surveys of hospitalists and the healthcare marketplace,13, 15, 16, 25 our survey of hospital leaders suggests that the care of uncovered patients and the goal of improving hospital efficiency are key reasons for implementing hospitalists. Although these are important, we found that hospital leaders have additional intentions when implementing or expanding hospitalist systems, including improving patient satisfaction and quality. Although quality improvement activities were not among the most common reasons that leaders originally implemented programs, the most established programs had increased odds (relative to the most recently implemented programs) of leading quality improvement and clinical guideline activities. This may reflect a natural progression over time for hospitalist groups to develop from a patient‐focused clinical role to one that incorporates responsibilities that increasingly impact the hospital system and organization. The interest in utilizing hospitalists for leadership in quality improvement was widely expressed among those leaders who had yet to utilize hospitalists. Interestingly, this driver remains even as evidence for whether hospitalist practices produce measurable differences in care outcomes is mixed.26, 27 Nevertheless, hospital leaders are under increasing pressure to improve quality and safety (driven by public reporting and pay‐for‐performance initiatives), and many leaders appear to believe that hospitalists will be a key part of the solution.13, 28

In addition to quality improvement, continued demand for hospitalists may result from growing clinical demands, including clinical support for medical specialists and surgeons. A majority of leaders acknowledged current or future interest in having hospitalists comanage surgical patients, with the hope that such practices will improve surgeons' productivity and clinical outcomes.16, 29, 30 In addition, hospitalists may address potential shortages in specialty areas. For example, having hospitalists participate in critical care may partly ameliorate the impact of a large national shortage of critical care physicians.12, 31 If hospitalists are to assume major roles in the provision of critical care (particularly if not comanaging patients with intensivists), they may require some augmented training in the intensive care unit.

Our results paint a picture of a rapidly expanding field, both in scope and in number. Hospitalists appear to be performing a wide range of clinical, triage, and administrative activities, and there is demand among hospital leadership for hospitalists to take on additional responsibilities. Interestingly, it appears that participation in most clinical and nonclinical activities occur across the spectrum of organizational characteristics, and demand is not limited only to large or academic hospitals. Participation in such a broad array of activities brings into question the need for additional training and certification of hospitalists. While the need for hospitalists to receive additional training has been posited in the past, our data suggest there is a perceived need from the hospital administration as well. This additional training (and subsequent certification) would likely need to encompass many of the practices we have identified as core to hospitalists' practice. In addition to ensuring adequate training, policymakers will need to consider the supply of physicians necessary to meet the present and, likely, future demand for hospitalists. This is especially important in light of recent evidence of continued decreasing interest in general internal medicine, the main pool from which hospitalists are drawn.32 A shortage of internists is likely to influence expansion plans by hospitals in terms of activities in which leaders ask hospitalists to engage, or the number of hospitalists overall.

Our study has several limitations. First, a substantial number of nonrespondents may potentially bias our results. Despite this, we have drawn results across a wide range of hospitals, and the characteristics of responders and nonresponders are very similar. In addition, our study exclusively examines the responses of leaders in California hospitals. Although we sampled a large and heterogeneous group of hospitals, these results may not be entirely generalizable to other regions. As a cross‐sectional survey of hospital executives, responses are subject to leaders' recall. In particular, the reasons for implementation provided by leaders of older programs may potentially reflect contemporary reasons for hospitalist utilization rather than the original reasons. Another limitation of our study is our focus on hospital leaders' reports of prevalence and the clinical/nonclinical activities of hospitalists. Since senior executives often help begin a program but become less involved over time, executives' answers may well underestimate the prevalence of hospitalists and the breadth of their clinical practices, particularly in more mature programs. For instance, hospitalists that are part of an independent practice association (IPA) may provide functions for the IPA group that the hospital itself does not direct or fund. This effect may be more pronounced among the largest hospitals that may be organizationally complex, perhaps making suspect the responses from 7 very large hospitals that claimed not to utilize hospitalists. Finally, we collected information regarding the reasons for hospitalist group implementation and the services they provide by means of a prespecified list of answers. Although a thorough literature review and expert advisory panel guided the development of prespecified lists, they are by no means exhaustive. As a result, our prespecified lists may miss some important reasons for implementation, or services provided by hospitalists, that one could identify using an open‐ended survey. In addition, in the case of multiple responses from hospital leaders, we gave equal weight to responses. This has the effect of overestimating the weight of reasons that were less important, while underestimating the weight of reasons that may have been more important in the decision making process of implementing a hospitalist group.

While nonhospitalist physicians continue to provide a considerable proportion of hospital care for medical patients, hospitalists are assuming a larger role in the care of a growing number of patients in the hospital. The ongoing need to increase care efficiency drives some of this growth, but pressures to improve care quality and demand from other physicians are increasingly important drivers of growth. As the field grows and clinical roles diversify, there must be increased focus placed on the training requirements of hospitalists to reflect the scope of current practice and meet hospital needs to improve quality and efficiency.

Acknowledgements

The authors acknowledge Teresa Chipps, BS, Department of Medicine (General Internal Medicine and Public Health), Center for Health Services Research, Vanderbilt University, Nashville, TN, for her administrative and editorial assistance in the preparation of the manuscript.

References
  1. Craig DE,Hartka L,Likosky WH,Caplan WM,Litsky P,Smithey J.Implementation of a hospitalist system in a large health maintenance organization: the Kaiser Permanente experience.Ann Intern Med.1999;130:355359.
  2. Smith PC,Westfall JM,Nichols RA.Primary care family physicians and 2 hospitalist models: comparison of outcomes, processes, and costs.J Fam Pract.2002;51:10211027.
  3. Molinari C,Short R.Effects of an HMO hospitalist program on inpatient utilization.Am J Manag Care.2001;7:10511057.
  4. Wachter RM,Goldman L.The emerging role of “hospitalists” in the American health care system.N Engl J Med.1996;335:514517.
  5. Sox HC.The hospitalist model: perspectives of the patient, the internist, and internal medicine.Ann Intern Med.1999;130:368372.
  6. Draper DA,Hurley RE,Lesser CS,Strunk BC.The changing face of managed care.Health Aff.2002;21:1123.
  7. Hall MA.The death of managed care: a regulatory autopsy.J Health Polit Policy Law.2005;30:427452.
  8. Robinson JC.The end of managed care.JAMA.2001;285:26222628.
  9. Auerbach AD,Chlouber R,Singler J,Lurie JD,Bostrom A,Wachter RM.Trends in market demand for internal medicine 1999 to 2004: an analysis of physician job advertisements.J Gen Intern Med.2006;21:10791085.
  10. Kuo YF,Sharma G,Freeman JL,Goodwin JS.Growth in the care of older patients by hospitalists in the United States.N Engl J Med.2009;360:11021112.
  11. Kralovec PD,Miller JA,Wellikson L,Huddleston JM.The status of hospital medicine groups in the United States.J Hosp Med.2006;1:7580.
  12. Manthous CA.Leapfrog and critical care: evidence‐ and reality‐based intensive care for the 21st century.Am J Med.2004;116:188193.
  13. Pham HH,Devers KJ,Kuo S,Berenson R.Health care market trends and the evolution of hospitalist use and roles.J Gen Intern Med.2005;20:101107.
  14. Pham HH,Devers KJ,May JH,Berenson R.Financial pressures spur physician entrepreneurialism.Health Aff.2004;23:7081.
  15. Auerbach AD,Nelson EA,Lindenauer PK,Pantilat SZ,Katz PP,Wachter RM.Physician attitudes toward and prevalence of the hospitalist model of care: results of a national survey.Am J Med.2000;109:648653.
  16. Pham HH,Grossman JM,Cohen G,Bodenheimer T.Hospitalists and care transitions: the divorce of inpatient and outpatient care.Health Aff.2008;27:13151327.
  17. Society of Hospital Medicine. 2005‐2006 SHM Survey: State of the Hospital Medicine Movement. Available at: http://dev.hospitalmedicine.org/AM/Template.cfm?Section=Survey2:102104.
  18. Plauth WH,Pantilat SZ,Wachter RM,Fenton CL.Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111:247254.
  19. Glasheen JJ,Epstein KR,Siegal E,Kutner JS,Prochazka AV.The spectrum of community‐based hospitalist practice: A call to tailor internal medicine residency training.Arch Intern Med.2007;167:727728.
  20. Glasheen J,Siegal E,Epstein K,Kutner J,Prochazka A.Fulfilling the promise of hospital medicine: tailoring internal medicine training to address hospitalists' needs.J Gen Intern Med.2008;23:11101115.
  21. Lindenauer PK,Pantilat SZ,Katz PP,Wachter RM.Hospitalists and the practice of inpatient medicine: results of a survey of the national association of inpatient physicians.Ann Intern Med.1999;130:343349.
  22. Office of Statewide Health Planning and Development. Healthcare Information Division ‐ Data Products. Available at: http://www.oshpd.ca.gov/HID/DataFlow/HospMain.html. Accessed May2009.
  23. Vittinghoff E,McCulloch CE.Relaxing the rule of ten events per variable in logistic and Cox regression.Am J Epidemiol.2007;165:710718.
  24. Berenson RA,Ginsburg PB,May JH.Hospital‐physician relations: cooperation, competition, or separation?Health Aff.2007;26:w31w43.
  25. Lindenauer PK,Rothberg MB,Pekow PS,Kenwood C,Benjamin EM,Auerbach AD.Outcomes of care by hospitalists, general internists, and family physicians.N Engl J Med.2007;357:25892600.
  26. Vasilevskis EE,Meltzer D,Schnipper J, et al.Quality of care for decompensated heart failure: comparable performance between academic hospitalists and non‐hospitalists.J Gen Intern Med.2008;23:13991406.
  27. Pham HH,Coughlan J,O'Malley AS.The impact of quality‐reporting programs on hospital operations.Health Aff.2006;25:14121422.
  28. Huddleston JM,Long KH,Naessens JM, et al.Medical and surgical comanagement after elective hip and knee arthroplasty: a randomized, controlled trial.Ann Intern Med.2004;141:2838.
  29. Roy A,Heckman MG,Roy V.Associations between the hospitalist model of care and quality‐of‐care‐related outcomes in patients undergoing hip fracture surgery.Mayo Clin Proc.2006;81:2831.
  30. Kelley MA,Angus D,Chalfin DB, et al.The critical care crisis in the United States: a report from the profession.Chest.2004;125:15141517.
  31. Hauer KE,Durning SJ,Kernan WN, et al.Factors associated with medical students' career choices regarding internal medicine.JAMA.2008;300:11541164.
Article PDF
Issue
Journal of Hospital Medicine - 4(9)
Page Number
528-534
Legacy Keywords
attitude of health personnel, delivery of healthcare, hospitalist organizations, hospitalist trends, physician practice patterns
Sections
Article PDF
Article PDF

In the late 1990s, hospitalist systems grew rapidly in an environment where cost containment was paramount, complexity of patients increased, and outpatient practices experienced increasing productivity and efficiency pressures.15 While the healthcare delivery environment has changed significantly since that time,68 hospitalists have continued to become more common. In fact, the field's present size of more than 25,000 has already exceeded early projections, and there are no signs of slackening demand.911

Growth has been attributed to primary care physicians' increasing focus on outpatient care, hospitals' response to financial pressures, and the need to facilitate improved communication among various hospital care providers.1216 Hospital leadership has played a similarly important role in fueling the growth of hospitalists, particularly since the vast majority of programs require and receive institutional (usually hospital) support.17 However, the factors that continue to influence leaders' decisions to utilize hospitalists and the current and future needs that hospitalists are fulfilling are unknown. Each of these factors is likely to impact growth of the field, as well as the clinical and organizational identity of hospitalists. In addition, an understanding of the market demand for hospitalists' competencies and the roles they play in the hospital may inform any changes in board certification and training for hospitalists.11, 1821

To gain a more complete understanding of a key part of the engine driving the growth of hospitalists, we performed a cross‐sectional survey of California hospital leaders who were involved with the funding or administration of their hospitalist groups. Our survey aimed to understand: (1) the prevalence of hospitalist groups in California hospitals, (2) hospital leaders' rationale for initiating the use of hospitalists, (3) the scope of clinical and nonclinical practice of hospitalists, and 4) hospital leaders' perspective on the need for further training and/or certification.

Materials and Methods

Sites and Subjects

We targeted all nonfederal, nonspecialty, acute care hospitals in California (n = 334) for this survey. We limited our survey to California in order to maximize our local resources and to improve implementation of and response to the survey. Additionally, California's size and diversity gives it disproportionate impact and potential generalizability. At each site, we focused our efforts on identifying and surveying executives or administrative leaders involved in organizational and staff decisions, specifically the decision whether or not to hire and/or fund a hospitalist program and potentially direct its activities (described in more detail below). The University of California, San Francisco, Committee on Human Research approved the research protocol.

We identified hospital leaders at each site by merging information from multiple sources. These included the American Hospital Association database, the California Hospital Association, the Hospital Association of Southern California (HASC), the California Health Care Safety Net Institute, and individual hospital websites.

Survey Development

Our survey was based upon instruments used in previous research examining hospital medicine group organizational structure15, 22 and enhanced with questions developed by the research team (A.D.A., E.E.V., R.M.W.). The survey was pretested in an advisory group of 5 hospital Chief Executive Officers (CEOs), Chief Medical Officers (CMOs), and Vice Presidents for Medical Affairs (VPMAs) from sites across California. Based on their input, we removed, edited, or added questions to our survey. This advisory group also helped the research team design our survey process.

Our final survey defined a hospitalist as a physician who spends all or the majority of his or her clinical, administrative, educational, or research activities in the care of hospitalized patients.4 We collected data in 4 areas: (1) We asked hospital leaders to confirm the presence or absence of at least 1 hospitalist group practicing within the surveyed hospital. We also asked for the year the first hospitalist group began practicing within the specified hospital. (2) We asked hospital leaders to indicate, among a prespecified list of 11 choices, the reason(s) they implemented a hospitalist group at the surveyed hospital. Surveyed categories included: (a) care for uncovered patients (patients without an identified doctor and/or uninsured), (b) improve costs, (c) improve length of stay, (d) improve emergency department throughput, (e) primary care provider demand, (f) improve patient satisfaction, (g) improve emergency room staffing, (h) quality improvement needs, (i) specialist physician demand, (j) overnight coverage, and (k) surgical comanagement. Due to the close relationship between cost and length of stay, we combined these 2 categories into a single category for reporting and analysis. This resulted in 10 final categories. We asked leaders who did not identify a practicing hospitalist group about the likelihood of hospitalists practicing at their hospital within the next 5 years and the reason(s) for future implementation. (3) We asked leaders to describe the services currently provided among a prespecified list of clinical care duties that go beyond the scope of inpatient general internal medicine (eg, surgical comanagement, rapid response team leadership) as well as nonclinical duties (eg, quality improvement activities, systems project implementation). If hospitalists did not currently provide the identified service, we asked leaders to indicate if they would be inclined to involve hospitalists in the specified service in the future. (4) Finally, we asked hospital leaders their opinion regarding the need for further training or certification for hospitalists.

Survey Protocol

We administered surveys between October 2006 and April 2007. We initially emailed the survey. We repeated this process for nonrespondents at intervals of 1 to 3 weeks after the initial emailing. Next, we sent nonrespondents a physical mailing with a reminder letter. Finally, we made phone calls to those who had not responded within 4 weeks of the last mailed letter. We asked survey recipients to respond only if they felt they had an adequate working knowledge of the hospitalist service at their hospital. If they did not feel they could adequately answer all questions, we allowed them to forward the instrument to others with a better working knowledge of the service.

Because we allowed recipients to forward the survey, we occasionally received 2 surveys from 1 site. In this case, we selected the survey according to the following prioritization order: (1) CEOs/COOs, (2) CMOs, (3) VPMAs, and (4) other vice presidents (VPs) or executive/administrative leaders with staff organization knowledge and responsibilities.

Hospital Descriptive Data

We obtained hospital organizational data from the California Office of Statewide Health Planning and Development's (OSHPD) publicly available Case Mix Index Data, hospital Annual Financial Data, aggregated Patient Discharge Data, and Utilization Data from 2006.23 Organizational characteristics included hospital size, location, profit status, payor mix, and diagnosis‐related groupbased case‐mix. Teaching status was determined from the 2005 American Hospital Association database. Membership status in California's voluntary quality reporting initiative, California Hospital Assessment and Reporting Taskforce (CHART), was publicly available at http://www.calhospitalcompare.org.

Statistical Analyses

We performed univariable analyses to characterize survey respondents, followed by bivariable analyses to compare hospital characteristics and patient mix of responding and nonresponding hospitals. We used similar methods to characterize respondent hospitals with and without at least 1 hospitalist group. We compared continuous data with the Students t tests or Mann‐Whitney tests as appropriate and categorical data with chi‐square tests.

We then summarized the number of times a specific rationale was cited by hospital leaders for implementing a hospitalist group. Among hospitals that did not have a hospitalist system in place at the time of the survey, we asked if they were planning on starting one within the next 5 years. For these hospitals, we used content analysis to summarize open‐ended responses in order to understand factors that are currently influencing these hospital leaders to consider implementing a hospitalist group.

Next, we aimed to understand what clinical and nonclinical roles hospitalists were performing in hospitals with established hospitalist programs. Clinical activities were divided into general clinical areas, triage/emergency‐related, or administrative activities. First, we summarized the number and percent of programs performing each clinical and nonclinical activity. This was followed by logistic regression analyses to assess whether the time period that hospitalist groups began practicing or additional hospital characteristics predicted the performance of individual hospitalist activities. To guard against overfitting of models, analyses were limited to rationales that were cited a minimum of 50 times.24 Hospital factors were selected on the basis of face validity and advisory group input and included hospital bed size, ownership status (public vs. private), teaching status, and membership status in CHART. We divided the year of hospitalist program implementation into 3 time periods: (1) before 2002, (2) between 2002 and 2004, and (3) 2005 or later.

Finally, we described the percentage of hospitals that favored having their hospitalist group(s) perform each of the identified clinical or nonclinical activities, if they were not already performing them. We performed analyses with statistical software (Stata Version 9.2, College Station, TX).

Results

Respondent Characteristics

We received 200 survey responses. Of those, we excluded 15 duplicates (eg, a survey from both the CEO and VPMA) and 6 responses identified as coming from hospitalists who did not have a leadership position in the hospital. Thus, the final hospital leader survey response rate was 54% (n = 179). Forty‐six percent of the final responses were from CEOs or COOs; 37% of responses were from CMOs, VPMAs, and medical directors; and the remaining 17% of responses were from other VPs or administrative directors.

Respondent and nonrespondent hospitals were statistically similar in terms of teaching status and participation in CHART. Hospital patient census, intensive care unit census, payer mix, and diagnosis‐related groupbased case‐mix revealed no statistically significant differences between groups (P > 0.05). Respondent hospitals tended to have fewer beds and were more often for‐profit compared to nonrespondents (P = 0.05 and P < 0.01, respectively).

Descriptive Characteristics of Hospitals with Hospitalists

Sixty‐four percent (n = 115) of hospital leaders stated that they utilized hospitalists for at least some patients. Hospitals with hospitalists were statistically more likely (P < 0.05) to be larger, a major teaching hospital, or a member of a voluntary quality reporting initiative (Table 1).

Distribution of Hospitals with and without at Least One Identified Hospitalist Group Among Respondent Hospitals
VariableHospitals without Hospitalists (n = 64) [n (%)]Hospitals with Hospitalists (n = 115) [n (%)]P Value*
  • P values based on chi‐square test of statistical independence for categorical data. Totals may not add to 100% due to rounding.

Hospital size (total number of beds)   
0‐9933 (51.6)18 (15.7)<0.001
100‐19919 (29.7)32 (27.8) 
200‐2995 (7.8)23 (20.0) 
300+7 (10.9)42 (36.5) 
Hospital control  0.12
City/county8 (12.5)7 (6.1) 
District15 (23.4)17 (14.8) 
For‐profit10 (15.6)16 (13.9) 
Non‐profit31 (48.4)71 (61.7) 
University of California0 (0.0)4 (3.5) 
Teaching hospital8 (12.5)30 (26.1)0.03
Member of voluntary quality reporting initiative27 (42.2)93 (80.9)<0.001

Among all hospitals with hospitalists, 39% estimated that hospitalists cared for at least one‐half of admitted medical patients, and 7% stated that hospitalists cared for all patients. Twenty‐four percent of respondents were unable to provide a quantitative estimate of the percent of patients cared for by hospitalists. When asked about expectations of growth in the coming year, 57% of respondents with hospitalists expected to see increases in the number of hospitalists at their hospital, and none expected a decrease. Among the 64 respondent hospitals that currently did not have a hospitalist program, 44% (n = 28) of the hospital leaders felt hospitalists would be managing patients in the future. Of those, 93% felt this would occur within the next 2 years.

Reasons for Implementing Hospitalists

Hospital leaders reported that the most important reasons for implementing a hospitalist model included caring for uncovered patients (68%), decreasing hospital costs and length of stay (63%), and improving throughput in the emergency room (62%). We provide additional reasons in Figure 1. In addition, leaders often identified multiple factors in the decision to utilize hospitalists, including demand from primary care doctors, patient satisfaction, and quality improvement. Among the 28 hospitals that currently did not have hospitalists but anticipated that they would soon (data not shown), the need to improve quality was the most commonly cited reason (54% of respondents) for expecting to start a program within 2 years, followed by demand from primary care doctors (46% of respondents).

Figure 1
Reasons for implementing a hospitalist system among respondent hospital leaders with a hospitalist system (n = 115). [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Clinical Practice of Hospitalists and Expectations for Future Growth

Hospitalists perform a wide array of clinical and nonclinical duties (Figure 2). In addition to general medical care, the most common clinical activities of hospitalists included screening medical admissions from the emergency room for appropriateness of admission and triaging to appropriate level of care (67%), triaging patients transferred from an outside hospital (72%), and comanaging surgical patients (66%). The most common nonclinical activity was participation in quality improvement activities (72%). Multivariable analyses demonstrated that the performance of the most prevalent activities was not usually associated with the year of hospitalist implementation or hospital characteristics. An exception was that newly initiated programs had a statistically significant decreased odds of involvement in clinical guideline development (odds ratio [OR], 0.3; 95% confidence interval [CI], 0.1‐0.9) and a trend toward decreased leadership in quality improvement (OR, 0.3; 95% CI, 0.1‐1.1). Hospitalists at teaching hospitals had increased odds of managing patient transfers (OR, 4.7; 95% CI, 1.0‐21.2), whereas for‐profit hospitals had lower odds of screening patients in the emergency room (OR, 0.1; 95% CI, 0.0‐0.7).

Figure 2
Activities provided by hospitalists among respondent hospitals with hospitalists (n = 101). [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Among those hospitals with hospitalists who were not presently involved in any of the above activities, there was a widespread interest among hospital leaders to have their hospitalist group(s) lead or participate in them (Figure 3). The most commonly cited activities included participation in inpatient clinical guideline development (85%), implementation of system‐wide projects (81%) (eg, computerized physician order entry system), participation on a rapid response team (80%), and caring for patients in an observation unit (80%).

Figure 3
Activities hospital leaders would like to have implemented by their current hospitalist group(s), if not currently providing. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Training and Certification for Hospitalists

About two‐thirds (64%) of hospital leaders with a hospitalist group(s) agreed or strongly agreed that hospitalists should have additional training and/or certification. Seventeen percent were undecided, whereas 11% either disagreed or strongly disagreed, and the remaining 8% did not provide an opinion.

Discussion

Most California hospital leaders reported utilizing hospitalists, and a substantial number of those without a hospitalist service plan to implement one in the next 5 years. Our data suggest that the number of hospitalists and their roles will continue to expand, with quality improvement activities and participation in clinical roles outside of general medical care being key priorities for future growth. Interestingly, much of this growth may not be catalyzed by past drivers (such as need to contain costs or length of stay) but by increasing need to implement quality and safety initiatives, as well as demand from other physicians. As a result, the field of hospital medicine will grow in numbers and breadth of practice. Defining the typical practice of a hospitalist may become more challenging.

Consistent with previous work,11, 16 our data suggest widespread adoption of hospitalists. While our data demonstrates that academic hospitals in California were more likely to have hospitalists, it is also important to note that hospitalist systems were widespread across a wide range of hospital sizes and ownership types. The prevalence appears likely to increase in the future. None of the hospitals surveyed planned to eliminate or reduce the size of their programs. Among hospitals without a hospitalist program, 44% (n = 28) reported they were going to implement a hospitalist group within the next 2 years. Future workforce development must consider this growth in order to increase physician supply to meet the demands of hospitalist growth.

Consistent with prior surveys of hospitalists and the healthcare marketplace,13, 15, 16, 25 our survey of hospital leaders suggests that the care of uncovered patients and the goal of improving hospital efficiency are key reasons for implementing hospitalists. Although these are important, we found that hospital leaders have additional intentions when implementing or expanding hospitalist systems, including improving patient satisfaction and quality. Although quality improvement activities were not among the most common reasons that leaders originally implemented programs, the most established programs had increased odds (relative to the most recently implemented programs) of leading quality improvement and clinical guideline activities. This may reflect a natural progression over time for hospitalist groups to develop from a patient‐focused clinical role to one that incorporates responsibilities that increasingly impact the hospital system and organization. The interest in utilizing hospitalists for leadership in quality improvement was widely expressed among those leaders who had yet to utilize hospitalists. Interestingly, this driver remains even as evidence for whether hospitalist practices produce measurable differences in care outcomes is mixed.26, 27 Nevertheless, hospital leaders are under increasing pressure to improve quality and safety (driven by public reporting and pay‐for‐performance initiatives), and many leaders appear to believe that hospitalists will be a key part of the solution.13, 28

In addition to quality improvement, continued demand for hospitalists may result from growing clinical demands, including clinical support for medical specialists and surgeons. A majority of leaders acknowledged current or future interest in having hospitalists comanage surgical patients, with the hope that such practices will improve surgeons' productivity and clinical outcomes.16, 29, 30 In addition, hospitalists may address potential shortages in specialty areas. For example, having hospitalists participate in critical care may partly ameliorate the impact of a large national shortage of critical care physicians.12, 31 If hospitalists are to assume major roles in the provision of critical care (particularly if not comanaging patients with intensivists), they may require some augmented training in the intensive care unit.

Our results paint a picture of a rapidly expanding field, both in scope and in number. Hospitalists appear to be performing a wide range of clinical, triage, and administrative activities, and there is demand among hospital leadership for hospitalists to take on additional responsibilities. Interestingly, it appears that participation in most clinical and nonclinical activities occur across the spectrum of organizational characteristics, and demand is not limited only to large or academic hospitals. Participation in such a broad array of activities brings into question the need for additional training and certification of hospitalists. While the need for hospitalists to receive additional training has been posited in the past, our data suggest there is a perceived need from the hospital administration as well. This additional training (and subsequent certification) would likely need to encompass many of the practices we have identified as core to hospitalists' practice. In addition to ensuring adequate training, policymakers will need to consider the supply of physicians necessary to meet the present and, likely, future demand for hospitalists. This is especially important in light of recent evidence of continued decreasing interest in general internal medicine, the main pool from which hospitalists are drawn.32 A shortage of internists is likely to influence expansion plans by hospitals in terms of activities in which leaders ask hospitalists to engage, or the number of hospitalists overall.

Our study has several limitations. First, a substantial number of nonrespondents may potentially bias our results. Despite this, we have drawn results across a wide range of hospitals, and the characteristics of responders and nonresponders are very similar. In addition, our study exclusively examines the responses of leaders in California hospitals. Although we sampled a large and heterogeneous group of hospitals, these results may not be entirely generalizable to other regions. As a cross‐sectional survey of hospital executives, responses are subject to leaders' recall. In particular, the reasons for implementation provided by leaders of older programs may potentially reflect contemporary reasons for hospitalist utilization rather than the original reasons. Another limitation of our study is our focus on hospital leaders' reports of prevalence and the clinical/nonclinical activities of hospitalists. Since senior executives often help begin a program but become less involved over time, executives' answers may well underestimate the prevalence of hospitalists and the breadth of their clinical practices, particularly in more mature programs. For instance, hospitalists that are part of an independent practice association (IPA) may provide functions for the IPA group that the hospital itself does not direct or fund. This effect may be more pronounced among the largest hospitals that may be organizationally complex, perhaps making suspect the responses from 7 very large hospitals that claimed not to utilize hospitalists. Finally, we collected information regarding the reasons for hospitalist group implementation and the services they provide by means of a prespecified list of answers. Although a thorough literature review and expert advisory panel guided the development of prespecified lists, they are by no means exhaustive. As a result, our prespecified lists may miss some important reasons for implementation, or services provided by hospitalists, that one could identify using an open‐ended survey. In addition, in the case of multiple responses from hospital leaders, we gave equal weight to responses. This has the effect of overestimating the weight of reasons that were less important, while underestimating the weight of reasons that may have been more important in the decision making process of implementing a hospitalist group.

While nonhospitalist physicians continue to provide a considerable proportion of hospital care for medical patients, hospitalists are assuming a larger role in the care of a growing number of patients in the hospital. The ongoing need to increase care efficiency drives some of this growth, but pressures to improve care quality and demand from other physicians are increasingly important drivers of growth. As the field grows and clinical roles diversify, there must be increased focus placed on the training requirements of hospitalists to reflect the scope of current practice and meet hospital needs to improve quality and efficiency.

Acknowledgements

The authors acknowledge Teresa Chipps, BS, Department of Medicine (General Internal Medicine and Public Health), Center for Health Services Research, Vanderbilt University, Nashville, TN, for her administrative and editorial assistance in the preparation of the manuscript.

In the late 1990s, hospitalist systems grew rapidly in an environment where cost containment was paramount, complexity of patients increased, and outpatient practices experienced increasing productivity and efficiency pressures.15 While the healthcare delivery environment has changed significantly since that time,68 hospitalists have continued to become more common. In fact, the field's present size of more than 25,000 has already exceeded early projections, and there are no signs of slackening demand.911

Growth has been attributed to primary care physicians' increasing focus on outpatient care, hospitals' response to financial pressures, and the need to facilitate improved communication among various hospital care providers.1216 Hospital leadership has played a similarly important role in fueling the growth of hospitalists, particularly since the vast majority of programs require and receive institutional (usually hospital) support.17 However, the factors that continue to influence leaders' decisions to utilize hospitalists and the current and future needs that hospitalists are fulfilling are unknown. Each of these factors is likely to impact growth of the field, as well as the clinical and organizational identity of hospitalists. In addition, an understanding of the market demand for hospitalists' competencies and the roles they play in the hospital may inform any changes in board certification and training for hospitalists.11, 1821

To gain a more complete understanding of a key part of the engine driving the growth of hospitalists, we performed a cross‐sectional survey of California hospital leaders who were involved with the funding or administration of their hospitalist groups. Our survey aimed to understand: (1) the prevalence of hospitalist groups in California hospitals, (2) hospital leaders' rationale for initiating the use of hospitalists, (3) the scope of clinical and nonclinical practice of hospitalists, and 4) hospital leaders' perspective on the need for further training and/or certification.

Materials and Methods

Sites and Subjects

We targeted all nonfederal, nonspecialty, acute care hospitals in California (n = 334) for this survey. We limited our survey to California in order to maximize our local resources and to improve implementation of and response to the survey. Additionally, California's size and diversity gives it disproportionate impact and potential generalizability. At each site, we focused our efforts on identifying and surveying executives or administrative leaders involved in organizational and staff decisions, specifically the decision whether or not to hire and/or fund a hospitalist program and potentially direct its activities (described in more detail below). The University of California, San Francisco, Committee on Human Research approved the research protocol.

We identified hospital leaders at each site by merging information from multiple sources. These included the American Hospital Association database, the California Hospital Association, the Hospital Association of Southern California (HASC), the California Health Care Safety Net Institute, and individual hospital websites.

Survey Development

Our survey was based upon instruments used in previous research examining hospital medicine group organizational structure15, 22 and enhanced with questions developed by the research team (A.D.A., E.E.V., R.M.W.). The survey was pretested in an advisory group of 5 hospital Chief Executive Officers (CEOs), Chief Medical Officers (CMOs), and Vice Presidents for Medical Affairs (VPMAs) from sites across California. Based on their input, we removed, edited, or added questions to our survey. This advisory group also helped the research team design our survey process.

Our final survey defined a hospitalist as a physician who spends all or the majority of his or her clinical, administrative, educational, or research activities in the care of hospitalized patients.4 We collected data in 4 areas: (1) We asked hospital leaders to confirm the presence or absence of at least 1 hospitalist group practicing within the surveyed hospital. We also asked for the year the first hospitalist group began practicing within the specified hospital. (2) We asked hospital leaders to indicate, among a prespecified list of 11 choices, the reason(s) they implemented a hospitalist group at the surveyed hospital. Surveyed categories included: (a) care for uncovered patients (patients without an identified doctor and/or uninsured), (b) improve costs, (c) improve length of stay, (d) improve emergency department throughput, (e) primary care provider demand, (f) improve patient satisfaction, (g) improve emergency room staffing, (h) quality improvement needs, (i) specialist physician demand, (j) overnight coverage, and (k) surgical comanagement. Due to the close relationship between cost and length of stay, we combined these 2 categories into a single category for reporting and analysis. This resulted in 10 final categories. We asked leaders who did not identify a practicing hospitalist group about the likelihood of hospitalists practicing at their hospital within the next 5 years and the reason(s) for future implementation. (3) We asked leaders to describe the services currently provided among a prespecified list of clinical care duties that go beyond the scope of inpatient general internal medicine (eg, surgical comanagement, rapid response team leadership) as well as nonclinical duties (eg, quality improvement activities, systems project implementation). If hospitalists did not currently provide the identified service, we asked leaders to indicate if they would be inclined to involve hospitalists in the specified service in the future. (4) Finally, we asked hospital leaders their opinion regarding the need for further training or certification for hospitalists.

Survey Protocol

We administered surveys between October 2006 and April 2007. We initially emailed the survey. We repeated this process for nonrespondents at intervals of 1 to 3 weeks after the initial emailing. Next, we sent nonrespondents a physical mailing with a reminder letter. Finally, we made phone calls to those who had not responded within 4 weeks of the last mailed letter. We asked survey recipients to respond only if they felt they had an adequate working knowledge of the hospitalist service at their hospital. If they did not feel they could adequately answer all questions, we allowed them to forward the instrument to others with a better working knowledge of the service.

Because we allowed recipients to forward the survey, we occasionally received 2 surveys from 1 site. In this case, we selected the survey according to the following prioritization order: (1) CEOs/COOs, (2) CMOs, (3) VPMAs, and (4) other vice presidents (VPs) or executive/administrative leaders with staff organization knowledge and responsibilities.

Hospital Descriptive Data

We obtained hospital organizational data from the California Office of Statewide Health Planning and Development's (OSHPD) publicly available Case Mix Index Data, hospital Annual Financial Data, aggregated Patient Discharge Data, and Utilization Data from 2006.23 Organizational characteristics included hospital size, location, profit status, payor mix, and diagnosis‐related groupbased case‐mix. Teaching status was determined from the 2005 American Hospital Association database. Membership status in California's voluntary quality reporting initiative, California Hospital Assessment and Reporting Taskforce (CHART), was publicly available at http://www.calhospitalcompare.org.

Statistical Analyses

We performed univariable analyses to characterize survey respondents, followed by bivariable analyses to compare hospital characteristics and patient mix of responding and nonresponding hospitals. We used similar methods to characterize respondent hospitals with and without at least 1 hospitalist group. We compared continuous data with the Students t tests or Mann‐Whitney tests as appropriate and categorical data with chi‐square tests.

We then summarized the number of times a specific rationale was cited by hospital leaders for implementing a hospitalist group. Among hospitals that did not have a hospitalist system in place at the time of the survey, we asked if they were planning on starting one within the next 5 years. For these hospitals, we used content analysis to summarize open‐ended responses in order to understand factors that are currently influencing these hospital leaders to consider implementing a hospitalist group.

Next, we aimed to understand what clinical and nonclinical roles hospitalists were performing in hospitals with established hospitalist programs. Clinical activities were divided into general clinical areas, triage/emergency‐related, or administrative activities. First, we summarized the number and percent of programs performing each clinical and nonclinical activity. This was followed by logistic regression analyses to assess whether the time period that hospitalist groups began practicing or additional hospital characteristics predicted the performance of individual hospitalist activities. To guard against overfitting of models, analyses were limited to rationales that were cited a minimum of 50 times.24 Hospital factors were selected on the basis of face validity and advisory group input and included hospital bed size, ownership status (public vs. private), teaching status, and membership status in CHART. We divided the year of hospitalist program implementation into 3 time periods: (1) before 2002, (2) between 2002 and 2004, and (3) 2005 or later.

Finally, we described the percentage of hospitals that favored having their hospitalist group(s) perform each of the identified clinical or nonclinical activities, if they were not already performing them. We performed analyses with statistical software (Stata Version 9.2, College Station, TX).

Results

Respondent Characteristics

We received 200 survey responses. Of those, we excluded 15 duplicates (eg, a survey from both the CEO and VPMA) and 6 responses identified as coming from hospitalists who did not have a leadership position in the hospital. Thus, the final hospital leader survey response rate was 54% (n = 179). Forty‐six percent of the final responses were from CEOs or COOs; 37% of responses were from CMOs, VPMAs, and medical directors; and the remaining 17% of responses were from other VPs or administrative directors.

Respondent and nonrespondent hospitals were statistically similar in terms of teaching status and participation in CHART. Hospital patient census, intensive care unit census, payer mix, and diagnosis‐related groupbased case‐mix revealed no statistically significant differences between groups (P > 0.05). Respondent hospitals tended to have fewer beds and were more often for‐profit compared to nonrespondents (P = 0.05 and P < 0.01, respectively).

Descriptive Characteristics of Hospitals with Hospitalists

Sixty‐four percent (n = 115) of hospital leaders stated that they utilized hospitalists for at least some patients. Hospitals with hospitalists were statistically more likely (P < 0.05) to be larger, a major teaching hospital, or a member of a voluntary quality reporting initiative (Table 1).

Distribution of Hospitals with and without at Least One Identified Hospitalist Group Among Respondent Hospitals
VariableHospitals without Hospitalists (n = 64) [n (%)]Hospitals with Hospitalists (n = 115) [n (%)]P Value*
  • P values based on chi‐square test of statistical independence for categorical data. Totals may not add to 100% due to rounding.

Hospital size (total number of beds)   
0‐9933 (51.6)18 (15.7)<0.001
100‐19919 (29.7)32 (27.8) 
200‐2995 (7.8)23 (20.0) 
300+7 (10.9)42 (36.5) 
Hospital control  0.12
City/county8 (12.5)7 (6.1) 
District15 (23.4)17 (14.8) 
For‐profit10 (15.6)16 (13.9) 
Non‐profit31 (48.4)71 (61.7) 
University of California0 (0.0)4 (3.5) 
Teaching hospital8 (12.5)30 (26.1)0.03
Member of voluntary quality reporting initiative27 (42.2)93 (80.9)<0.001

Among all hospitals with hospitalists, 39% estimated that hospitalists cared for at least one‐half of admitted medical patients, and 7% stated that hospitalists cared for all patients. Twenty‐four percent of respondents were unable to provide a quantitative estimate of the percent of patients cared for by hospitalists. When asked about expectations of growth in the coming year, 57% of respondents with hospitalists expected to see increases in the number of hospitalists at their hospital, and none expected a decrease. Among the 64 respondent hospitals that currently did not have a hospitalist program, 44% (n = 28) of the hospital leaders felt hospitalists would be managing patients in the future. Of those, 93% felt this would occur within the next 2 years.

Reasons for Implementing Hospitalists

Hospital leaders reported that the most important reasons for implementing a hospitalist model included caring for uncovered patients (68%), decreasing hospital costs and length of stay (63%), and improving throughput in the emergency room (62%). We provide additional reasons in Figure 1. In addition, leaders often identified multiple factors in the decision to utilize hospitalists, including demand from primary care doctors, patient satisfaction, and quality improvement. Among the 28 hospitals that currently did not have hospitalists but anticipated that they would soon (data not shown), the need to improve quality was the most commonly cited reason (54% of respondents) for expecting to start a program within 2 years, followed by demand from primary care doctors (46% of respondents).

Figure 1
Reasons for implementing a hospitalist system among respondent hospital leaders with a hospitalist system (n = 115). [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Clinical Practice of Hospitalists and Expectations for Future Growth

Hospitalists perform a wide array of clinical and nonclinical duties (Figure 2). In addition to general medical care, the most common clinical activities of hospitalists included screening medical admissions from the emergency room for appropriateness of admission and triaging to appropriate level of care (67%), triaging patients transferred from an outside hospital (72%), and comanaging surgical patients (66%). The most common nonclinical activity was participation in quality improvement activities (72%). Multivariable analyses demonstrated that the performance of the most prevalent activities was not usually associated with the year of hospitalist implementation or hospital characteristics. An exception was that newly initiated programs had a statistically significant decreased odds of involvement in clinical guideline development (odds ratio [OR], 0.3; 95% confidence interval [CI], 0.1‐0.9) and a trend toward decreased leadership in quality improvement (OR, 0.3; 95% CI, 0.1‐1.1). Hospitalists at teaching hospitals had increased odds of managing patient transfers (OR, 4.7; 95% CI, 1.0‐21.2), whereas for‐profit hospitals had lower odds of screening patients in the emergency room (OR, 0.1; 95% CI, 0.0‐0.7).

Figure 2
Activities provided by hospitalists among respondent hospitals with hospitalists (n = 101). [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Among those hospitals with hospitalists who were not presently involved in any of the above activities, there was a widespread interest among hospital leaders to have their hospitalist group(s) lead or participate in them (Figure 3). The most commonly cited activities included participation in inpatient clinical guideline development (85%), implementation of system‐wide projects (81%) (eg, computerized physician order entry system), participation on a rapid response team (80%), and caring for patients in an observation unit (80%).

Figure 3
Activities hospital leaders would like to have implemented by their current hospitalist group(s), if not currently providing. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Training and Certification for Hospitalists

About two‐thirds (64%) of hospital leaders with a hospitalist group(s) agreed or strongly agreed that hospitalists should have additional training and/or certification. Seventeen percent were undecided, whereas 11% either disagreed or strongly disagreed, and the remaining 8% did not provide an opinion.

Discussion

Most California hospital leaders reported utilizing hospitalists, and a substantial number of those without a hospitalist service plan to implement one in the next 5 years. Our data suggest that the number of hospitalists and their roles will continue to expand, with quality improvement activities and participation in clinical roles outside of general medical care being key priorities for future growth. Interestingly, much of this growth may not be catalyzed by past drivers (such as need to contain costs or length of stay) but by increasing need to implement quality and safety initiatives, as well as demand from other physicians. As a result, the field of hospital medicine will grow in numbers and breadth of practice. Defining the typical practice of a hospitalist may become more challenging.

Consistent with previous work,11, 16 our data suggest widespread adoption of hospitalists. While our data demonstrates that academic hospitals in California were more likely to have hospitalists, it is also important to note that hospitalist systems were widespread across a wide range of hospital sizes and ownership types. The prevalence appears likely to increase in the future. None of the hospitals surveyed planned to eliminate or reduce the size of their programs. Among hospitals without a hospitalist program, 44% (n = 28) reported they were going to implement a hospitalist group within the next 2 years. Future workforce development must consider this growth in order to increase physician supply to meet the demands of hospitalist growth.

Consistent with prior surveys of hospitalists and the healthcare marketplace,13, 15, 16, 25 our survey of hospital leaders suggests that the care of uncovered patients and the goal of improving hospital efficiency are key reasons for implementing hospitalists. Although these are important, we found that hospital leaders have additional intentions when implementing or expanding hospitalist systems, including improving patient satisfaction and quality. Although quality improvement activities were not among the most common reasons that leaders originally implemented programs, the most established programs had increased odds (relative to the most recently implemented programs) of leading quality improvement and clinical guideline activities. This may reflect a natural progression over time for hospitalist groups to develop from a patient‐focused clinical role to one that incorporates responsibilities that increasingly impact the hospital system and organization. The interest in utilizing hospitalists for leadership in quality improvement was widely expressed among those leaders who had yet to utilize hospitalists. Interestingly, this driver remains even as evidence for whether hospitalist practices produce measurable differences in care outcomes is mixed.26, 27 Nevertheless, hospital leaders are under increasing pressure to improve quality and safety (driven by public reporting and pay‐for‐performance initiatives), and many leaders appear to believe that hospitalists will be a key part of the solution.13, 28

In addition to quality improvement, continued demand for hospitalists may result from growing clinical demands, including clinical support for medical specialists and surgeons. A majority of leaders acknowledged current or future interest in having hospitalists comanage surgical patients, with the hope that such practices will improve surgeons' productivity and clinical outcomes.16, 29, 30 In addition, hospitalists may address potential shortages in specialty areas. For example, having hospitalists participate in critical care may partly ameliorate the impact of a large national shortage of critical care physicians.12, 31 If hospitalists are to assume major roles in the provision of critical care (particularly if not comanaging patients with intensivists), they may require some augmented training in the intensive care unit.

Our results paint a picture of a rapidly expanding field, both in scope and in number. Hospitalists appear to be performing a wide range of clinical, triage, and administrative activities, and there is demand among hospital leadership for hospitalists to take on additional responsibilities. Interestingly, it appears that participation in most clinical and nonclinical activities occur across the spectrum of organizational characteristics, and demand is not limited only to large or academic hospitals. Participation in such a broad array of activities brings into question the need for additional training and certification of hospitalists. While the need for hospitalists to receive additional training has been posited in the past, our data suggest there is a perceived need from the hospital administration as well. This additional training (and subsequent certification) would likely need to encompass many of the practices we have identified as core to hospitalists' practice. In addition to ensuring adequate training, policymakers will need to consider the supply of physicians necessary to meet the present and, likely, future demand for hospitalists. This is especially important in light of recent evidence of continued decreasing interest in general internal medicine, the main pool from which hospitalists are drawn.32 A shortage of internists is likely to influence expansion plans by hospitals in terms of activities in which leaders ask hospitalists to engage, or the number of hospitalists overall.

Our study has several limitations. First, a substantial number of nonrespondents may potentially bias our results. Despite this, we have drawn results across a wide range of hospitals, and the characteristics of responders and nonresponders are very similar. In addition, our study exclusively examines the responses of leaders in California hospitals. Although we sampled a large and heterogeneous group of hospitals, these results may not be entirely generalizable to other regions. As a cross‐sectional survey of hospital executives, responses are subject to leaders' recall. In particular, the reasons for implementation provided by leaders of older programs may potentially reflect contemporary reasons for hospitalist utilization rather than the original reasons. Another limitation of our study is our focus on hospital leaders' reports of prevalence and the clinical/nonclinical activities of hospitalists. Since senior executives often help begin a program but become less involved over time, executives' answers may well underestimate the prevalence of hospitalists and the breadth of their clinical practices, particularly in more mature programs. For instance, hospitalists that are part of an independent practice association (IPA) may provide functions for the IPA group that the hospital itself does not direct or fund. This effect may be more pronounced among the largest hospitals that may be organizationally complex, perhaps making suspect the responses from 7 very large hospitals that claimed not to utilize hospitalists. Finally, we collected information regarding the reasons for hospitalist group implementation and the services they provide by means of a prespecified list of answers. Although a thorough literature review and expert advisory panel guided the development of prespecified lists, they are by no means exhaustive. As a result, our prespecified lists may miss some important reasons for implementation, or services provided by hospitalists, that one could identify using an open‐ended survey. In addition, in the case of multiple responses from hospital leaders, we gave equal weight to responses. This has the effect of overestimating the weight of reasons that were less important, while underestimating the weight of reasons that may have been more important in the decision making process of implementing a hospitalist group.

While nonhospitalist physicians continue to provide a considerable proportion of hospital care for medical patients, hospitalists are assuming a larger role in the care of a growing number of patients in the hospital. The ongoing need to increase care efficiency drives some of this growth, but pressures to improve care quality and demand from other physicians are increasingly important drivers of growth. As the field grows and clinical roles diversify, there must be increased focus placed on the training requirements of hospitalists to reflect the scope of current practice and meet hospital needs to improve quality and efficiency.

Acknowledgements

The authors acknowledge Teresa Chipps, BS, Department of Medicine (General Internal Medicine and Public Health), Center for Health Services Research, Vanderbilt University, Nashville, TN, for her administrative and editorial assistance in the preparation of the manuscript.

References
  1. Craig DE,Hartka L,Likosky WH,Caplan WM,Litsky P,Smithey J.Implementation of a hospitalist system in a large health maintenance organization: the Kaiser Permanente experience.Ann Intern Med.1999;130:355359.
  2. Smith PC,Westfall JM,Nichols RA.Primary care family physicians and 2 hospitalist models: comparison of outcomes, processes, and costs.J Fam Pract.2002;51:10211027.
  3. Molinari C,Short R.Effects of an HMO hospitalist program on inpatient utilization.Am J Manag Care.2001;7:10511057.
  4. Wachter RM,Goldman L.The emerging role of “hospitalists” in the American health care system.N Engl J Med.1996;335:514517.
  5. Sox HC.The hospitalist model: perspectives of the patient, the internist, and internal medicine.Ann Intern Med.1999;130:368372.
  6. Draper DA,Hurley RE,Lesser CS,Strunk BC.The changing face of managed care.Health Aff.2002;21:1123.
  7. Hall MA.The death of managed care: a regulatory autopsy.J Health Polit Policy Law.2005;30:427452.
  8. Robinson JC.The end of managed care.JAMA.2001;285:26222628.
  9. Auerbach AD,Chlouber R,Singler J,Lurie JD,Bostrom A,Wachter RM.Trends in market demand for internal medicine 1999 to 2004: an analysis of physician job advertisements.J Gen Intern Med.2006;21:10791085.
  10. Kuo YF,Sharma G,Freeman JL,Goodwin JS.Growth in the care of older patients by hospitalists in the United States.N Engl J Med.2009;360:11021112.
  11. Kralovec PD,Miller JA,Wellikson L,Huddleston JM.The status of hospital medicine groups in the United States.J Hosp Med.2006;1:7580.
  12. Manthous CA.Leapfrog and critical care: evidence‐ and reality‐based intensive care for the 21st century.Am J Med.2004;116:188193.
  13. Pham HH,Devers KJ,Kuo S,Berenson R.Health care market trends and the evolution of hospitalist use and roles.J Gen Intern Med.2005;20:101107.
  14. Pham HH,Devers KJ,May JH,Berenson R.Financial pressures spur physician entrepreneurialism.Health Aff.2004;23:7081.
  15. Auerbach AD,Nelson EA,Lindenauer PK,Pantilat SZ,Katz PP,Wachter RM.Physician attitudes toward and prevalence of the hospitalist model of care: results of a national survey.Am J Med.2000;109:648653.
  16. Pham HH,Grossman JM,Cohen G,Bodenheimer T.Hospitalists and care transitions: the divorce of inpatient and outpatient care.Health Aff.2008;27:13151327.
  17. Society of Hospital Medicine. 2005‐2006 SHM Survey: State of the Hospital Medicine Movement. Available at: http://dev.hospitalmedicine.org/AM/Template.cfm?Section=Survey2:102104.
  18. Plauth WH,Pantilat SZ,Wachter RM,Fenton CL.Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111:247254.
  19. Glasheen JJ,Epstein KR,Siegal E,Kutner JS,Prochazka AV.The spectrum of community‐based hospitalist practice: A call to tailor internal medicine residency training.Arch Intern Med.2007;167:727728.
  20. Glasheen J,Siegal E,Epstein K,Kutner J,Prochazka A.Fulfilling the promise of hospital medicine: tailoring internal medicine training to address hospitalists' needs.J Gen Intern Med.2008;23:11101115.
  21. Lindenauer PK,Pantilat SZ,Katz PP,Wachter RM.Hospitalists and the practice of inpatient medicine: results of a survey of the national association of inpatient physicians.Ann Intern Med.1999;130:343349.
  22. Office of Statewide Health Planning and Development. Healthcare Information Division ‐ Data Products. Available at: http://www.oshpd.ca.gov/HID/DataFlow/HospMain.html. Accessed May2009.
  23. Vittinghoff E,McCulloch CE.Relaxing the rule of ten events per variable in logistic and Cox regression.Am J Epidemiol.2007;165:710718.
  24. Berenson RA,Ginsburg PB,May JH.Hospital‐physician relations: cooperation, competition, or separation?Health Aff.2007;26:w31w43.
  25. Lindenauer PK,Rothberg MB,Pekow PS,Kenwood C,Benjamin EM,Auerbach AD.Outcomes of care by hospitalists, general internists, and family physicians.N Engl J Med.2007;357:25892600.
  26. Vasilevskis EE,Meltzer D,Schnipper J, et al.Quality of care for decompensated heart failure: comparable performance between academic hospitalists and non‐hospitalists.J Gen Intern Med.2008;23:13991406.
  27. Pham HH,Coughlan J,O'Malley AS.The impact of quality‐reporting programs on hospital operations.Health Aff.2006;25:14121422.
  28. Huddleston JM,Long KH,Naessens JM, et al.Medical and surgical comanagement after elective hip and knee arthroplasty: a randomized, controlled trial.Ann Intern Med.2004;141:2838.
  29. Roy A,Heckman MG,Roy V.Associations between the hospitalist model of care and quality‐of‐care‐related outcomes in patients undergoing hip fracture surgery.Mayo Clin Proc.2006;81:2831.
  30. Kelley MA,Angus D,Chalfin DB, et al.The critical care crisis in the United States: a report from the profession.Chest.2004;125:15141517.
  31. Hauer KE,Durning SJ,Kernan WN, et al.Factors associated with medical students' career choices regarding internal medicine.JAMA.2008;300:11541164.
References
  1. Craig DE,Hartka L,Likosky WH,Caplan WM,Litsky P,Smithey J.Implementation of a hospitalist system in a large health maintenance organization: the Kaiser Permanente experience.Ann Intern Med.1999;130:355359.
  2. Smith PC,Westfall JM,Nichols RA.Primary care family physicians and 2 hospitalist models: comparison of outcomes, processes, and costs.J Fam Pract.2002;51:10211027.
  3. Molinari C,Short R.Effects of an HMO hospitalist program on inpatient utilization.Am J Manag Care.2001;7:10511057.
  4. Wachter RM,Goldman L.The emerging role of “hospitalists” in the American health care system.N Engl J Med.1996;335:514517.
  5. Sox HC.The hospitalist model: perspectives of the patient, the internist, and internal medicine.Ann Intern Med.1999;130:368372.
  6. Draper DA,Hurley RE,Lesser CS,Strunk BC.The changing face of managed care.Health Aff.2002;21:1123.
  7. Hall MA.The death of managed care: a regulatory autopsy.J Health Polit Policy Law.2005;30:427452.
  8. Robinson JC.The end of managed care.JAMA.2001;285:26222628.
  9. Auerbach AD,Chlouber R,Singler J,Lurie JD,Bostrom A,Wachter RM.Trends in market demand for internal medicine 1999 to 2004: an analysis of physician job advertisements.J Gen Intern Med.2006;21:10791085.
  10. Kuo YF,Sharma G,Freeman JL,Goodwin JS.Growth in the care of older patients by hospitalists in the United States.N Engl J Med.2009;360:11021112.
  11. Kralovec PD,Miller JA,Wellikson L,Huddleston JM.The status of hospital medicine groups in the United States.J Hosp Med.2006;1:7580.
  12. Manthous CA.Leapfrog and critical care: evidence‐ and reality‐based intensive care for the 21st century.Am J Med.2004;116:188193.
  13. Pham HH,Devers KJ,Kuo S,Berenson R.Health care market trends and the evolution of hospitalist use and roles.J Gen Intern Med.2005;20:101107.
  14. Pham HH,Devers KJ,May JH,Berenson R.Financial pressures spur physician entrepreneurialism.Health Aff.2004;23:7081.
  15. Auerbach AD,Nelson EA,Lindenauer PK,Pantilat SZ,Katz PP,Wachter RM.Physician attitudes toward and prevalence of the hospitalist model of care: results of a national survey.Am J Med.2000;109:648653.
  16. Pham HH,Grossman JM,Cohen G,Bodenheimer T.Hospitalists and care transitions: the divorce of inpatient and outpatient care.Health Aff.2008;27:13151327.
  17. Society of Hospital Medicine. 2005‐2006 SHM Survey: State of the Hospital Medicine Movement. Available at: http://dev.hospitalmedicine.org/AM/Template.cfm?Section=Survey2:102104.
  18. Plauth WH,Pantilat SZ,Wachter RM,Fenton CL.Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111:247254.
  19. Glasheen JJ,Epstein KR,Siegal E,Kutner JS,Prochazka AV.The spectrum of community‐based hospitalist practice: A call to tailor internal medicine residency training.Arch Intern Med.2007;167:727728.
  20. Glasheen J,Siegal E,Epstein K,Kutner J,Prochazka A.Fulfilling the promise of hospital medicine: tailoring internal medicine training to address hospitalists' needs.J Gen Intern Med.2008;23:11101115.
  21. Lindenauer PK,Pantilat SZ,Katz PP,Wachter RM.Hospitalists and the practice of inpatient medicine: results of a survey of the national association of inpatient physicians.Ann Intern Med.1999;130:343349.
  22. Office of Statewide Health Planning and Development. Healthcare Information Division ‐ Data Products. Available at: http://www.oshpd.ca.gov/HID/DataFlow/HospMain.html. Accessed May2009.
  23. Vittinghoff E,McCulloch CE.Relaxing the rule of ten events per variable in logistic and Cox regression.Am J Epidemiol.2007;165:710718.
  24. Berenson RA,Ginsburg PB,May JH.Hospital‐physician relations: cooperation, competition, or separation?Health Aff.2007;26:w31w43.
  25. Lindenauer PK,Rothberg MB,Pekow PS,Kenwood C,Benjamin EM,Auerbach AD.Outcomes of care by hospitalists, general internists, and family physicians.N Engl J Med.2007;357:25892600.
  26. Vasilevskis EE,Meltzer D,Schnipper J, et al.Quality of care for decompensated heart failure: comparable performance between academic hospitalists and non‐hospitalists.J Gen Intern Med.2008;23:13991406.
  27. Pham HH,Coughlan J,O'Malley AS.The impact of quality‐reporting programs on hospital operations.Health Aff.2006;25:14121422.
  28. Huddleston JM,Long KH,Naessens JM, et al.Medical and surgical comanagement after elective hip and knee arthroplasty: a randomized, controlled trial.Ann Intern Med.2004;141:2838.
  29. Roy A,Heckman MG,Roy V.Associations between the hospitalist model of care and quality‐of‐care‐related outcomes in patients undergoing hip fracture surgery.Mayo Clin Proc.2006;81:2831.
  30. Kelley MA,Angus D,Chalfin DB, et al.The critical care crisis in the United States: a report from the profession.Chest.2004;125:15141517.
  31. Hauer KE,Durning SJ,Kernan WN, et al.Factors associated with medical students' career choices regarding internal medicine.JAMA.2008;300:11541164.
Issue
Journal of Hospital Medicine - 4(9)
Issue
Journal of Hospital Medicine - 4(9)
Page Number
528-534
Page Number
528-534
Article Type
Display Headline
California hospital leaders' views of hospitalists: Meeting needs of the present and future
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U.S. Physician Satisfaction

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U.S. physician satisfaction: A systematic review

The burden of dissatisfaction among medical professionals concerns both physicians and policy makers, especially given the potential ramifications on the work force.1, 2 Abundant research documents a strong relationship between low levels of physician satisfaction and burnout,37 intention to leave,6, 815 and job turnover.13, 1618 Moreover, low physician satisfaction is associated with self‐reported psychiatric symptoms1921 and poorer perceived mental health.22 Not surprisingly, dissatisfied physicians are less likely to recommend to medical students that they pursue their specialty.23

Importantly, physician satisfaction appears to benefit patients. Several studies show a positive relationship between higher physician satisfaction and patient satisfaction and outcomes.2426 Patients cared for by satisfied physicians declare more trust and confidence in their physicians, have better continuity, higher ratings of their care,26, 27 lower no‐show rates,25 and enhanced adherence to their medical care.28 There is also some evidence that higher job satisfaction is associated with lower likelihood of patient errors and suboptimal patient care.29

Physician satisfaction can be influenced by factors intrinsic to the individual physician (age, gender, race, and specialty) and extrinsic to the physician (work environment, practice setting, patient characteristics, and income).22, 30 In this way, satisfaction is not a static property in any physician or physician group, but reflects a dynamic interplay among the expectations and environments within which they work. Although each physician, physician group, and specialty has distinct factors that affect satisfaction, none are immune to potential dissatisfaction.

Given the documented impact of physician satisfaction on multiple aspects of healthcare delivery, we undertook a systematic review of the existing literature to achieve a greater understanding of the current state of U.S. physician satisfaction. In addition, we sought to identify the major survey tools used to measure satisfaction and the characteristics intrinsic and extrinsic to the physician that are associated with satisfaction. We conclude by suggesting needed additional research.

Materials and Methods

We performed a literature search of MEDLINE (http://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed) for articles from 1970 through 2007 to identify studies that provide a quantitative assessment of U.S. physician satisfaction and/or the factors associated with satisfaction. With assistance from a medical librarian with expertise in search coordination, we chose the following Medical Subject Heading (MeSH) phrases: (physicians OR physician's role OR physician's, women) AND (job satisfaction OR career satisfaction OR burnout). The search was further limited to humans and abstracts with no language restriction. The reviewers also searched reference lists to identify other relevant studies not in the search, as well as available online abstracts from the national meetings of the Society of Hospital Medicine (20022005) and the Society of General Internal Medicine (20052007). All of the abstracts were reviewed by 2 independent reviewers (D.S. and S.M.) for inclusion into the study. Study inclusion was limited to articles that reported physician satisfaction (career, professional, work, practice, job satisfaction, or overall satisfaction) or factors associated with physician satisfaction. Disagreements were resolved by consensus. After exclusions, 97 articles were included for review (Figure 1). Each study was listed by physician type sampled, whether the information was derived from a previously conducted (larger) sample, the sample size and response rate, the satisfaction measurement/subale, and satisfaction results (Appendix 1). Thirty‐seven studies that utilized multivariate analyses to report factors independently associated with satisfaction are listed in Appendix 2, along with the direction and strength of association. Confounders controlled for in these studies are listed in Appendix 3. Studies that extracted data from 1 of the 4 nationally representative studies (Community Tracking Studies [CTS], Physician Worklife Study [PWS], Women Physician Health Study [WPHS], and Robert Wood Johnson Studies [RWJS]) were considered of higher quality and generalizability than the small cross‐sectional studies. Due to the heterogeneity in physician type sampled and multiple satisfaction measurements used, a meta‐analysis of the literature was not performed, and a qualitative analysis is reported.

Figure 1
Exclusions. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Results

Of the 97 studies, 69 were cross‐sectional (distributed to purposive and often convenience samples of physicians) with sampling sizes ranging from 39 to 6441 and response rates ranging from 31% to 97% (Appendix 1). The other 28 were from larger nationally representative studies (Table 1), including the CTS (n = 92, 45, 71, 74, 91, 102, 104106), RWJS (n = 81, 18, 3334, 39, 40, 60, 61), PWS (n = 711, 22, 23, 55, 83, 92, 99), and WPHS (n = 444, 4951). Fourteen articles reported information from longitudinal (n = 2)18, 86 or repeated cross‐sectional studies (n = 12)1, 2, 39, 73, 76, 79, 85, 91, 96, 97, 102, 110 to help determine satisfaction trends. The survey instruments from the 4 national physician surveys are outlined in Table 1. The types of satisfaction reported are outlined in Figure 2.

Survey Tools to Measure Physician Satisfaction
Survey Satisfaction Measured MD Type Sampled Sampled/Responded/Adjusted Response [n/n/% (year of survey)]
  • Abbreviations: AMA, American Medical Association; CTS, Community Tracking Surveys; FP, family practitioner; IM, internal medicine; MD, medical doctor; PWS, Physicians Worklife Survey; RWJ, Robert Wood Johnson Surveys; WPHS, Women Physicians Health Survey.

PWS 150‐item survey; 3 satisfaction domains (job, career, and specialty; all 5‐point Likert scales); 10 satisfaction facets AMA Masterfile; random sample; FP, IM, IM specialists, pediatrics, and pediatric specialists 5704/2326/52%
CTS Career satisfaction (5 point Likert scale) AMA Masterfile; random sample; all physicians in direct patient care 20+ hours a week 19054/12385/65% (1996); 20131/12280/61% (1998); 20998/12389/59% (2000)
RWJ Practice satisfaction (4‐point Likert scale); career satisfaction (3‐point Likert scale) AMA Masterfile; random sample; 1987: physicians <40 years old in practice 1‐6 years; 1991: physicians <45 years old in practice 2‐9 years; 1997: physicians <52 years old in practice 8‐17 years 8379/5865/70% (1987); 9745/4373/70% (1991); 2093/1549/74% (1997)
WPHS Career satisfaction (5‐point Likert scale) AMA Masterfile; random sample; female medical school graduates from 1950 to 1989 4501/2656/59%
Figure 2
Types of satisfaction reported. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Trends in U.S. Physician Satisfaction

The CTS physician survey used sophisticated large‐scale random sampling methods and consistent questionnaires, thus allowing assessment of trends. From these repeated cross‐sectional surveys, career satisfaction from 1996 to 2001 was stable (81% to 80% among primary care physicians [PCPs], and 81% to 81% among specialists), although the portion of PCPs who report being very satisfied declined from 42% to 38% (P < 0.001) with no significant change for specialists (43% to 42%; P = 0.20).2

The RWJ surveys found small overall declines. From 1991 to 1997, practice satisfaction declined from 86% to 79%, and career satisfaction declined 96% to 88% (P = not available [NA]).1 A comparison of the 1991 RWJ survey to a 1996 age‐matched California physician survey and also found practice satisfaction declined slightly (86% to 82%, P = NA; very satisfied declined 48% to 37%, P = 0.05).39

Two studies of PCPs in Massachusetts found similar modest declines. The first found practice satisfaction declined from 80% to 66% (1996 to 1999; P < 0.001),73 and the second found a nonsignificant decline in professional satisfaction from 81% to 73% (1986 to 1997; P = not significant [NS]).85 Other studies of specific physician populations found insignificant changes in satisfaction levels during the study periods.76, 79, 86, 91, 96, 97, 110 In summary, recent overall physician satisfaction is relatively unchanged, although there may be modest declines in PCPs and young physicians who report high satisfaction, as evidenced from the CTS, RWJ studies, and other small physician cohorts.

Major Characteristics Associated with Physician Satisfaction

Both factors intrinsic to the physician and characteristics of the job influence physician satisfaction (Figure 3). Intrinsic physician factors are typically not changeable when developing strategies to improve satisfaction. However, they do significantly affect what physicians consider important when choosing a job, and influence how physicians respond to changes in the job. Job characteristics, or extrinsic factors, are generally considered more modifiable when developing institutional strategies to improve satisfaction. Although the intrinsic factors are seemingly unmodifiable, one must take them into account when assessing satisfaction in order to determine the independent effects that the more modifiable extrinsic factors have on satisfaction. The next section describes the variables associated with satisfaction, from the 37 studies that utilized multivariate analyses (Appendix 2) to control for other factors (Appendix 3).

Figure 3
Intrinsic and extrinsic factors associated with satisfaction. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Physician Factors

Physician Age

Age is likely weakly but independently associated with satisfaction, although interpretation is limited by the heterogeneity of the physician samples and the manner in which age is reported. Of the 18 studies that evaluated age, 3 (from the PWS, WPHS, and 1 other) found a weak but positive association.9, 23, 50 Five (from the CTS and others) found a U‐shaped relationship (those at the extremes of age were the most satisfied),59, 68, 70, 71, 74 and 3 found an inverse association (2 CTS PCP subsets, and 1 small single‐county study.35, 45, 106 Six found no association, of which only 1 was from a nationally representative sample (PWS PCPs).5, 96, 97, 109, 110, 112

As a surrogate for age, 6 studies evaluated years in practice or years since medical school graduation. Of these, 2 found a weak but positive association (although only seen in specialists, not PCPs in the CTS),89, 104 and 1 found a negative association (when dichotomized),73 with no association in 3 smaller studies.5, 56, 88

These studies support that age is weakly but independently associated with physician satisfaction when studied as a continuous variable. When studied within various age brackets, studies support a U‐shaped association, with the highest satisfaction in those at the extremes of ages, although this may not be true for PCPs. In addition, the association with older age may be the result of less satisfied physicians leaving the profession.

Physician Gender

The association between gender and overall satisfaction is difficult to interpret due to the heterogeneity of the satisfaction assessments and included confounders, although there may be gender differences in facets of satisfaction. Of the 22 studies that evaluated gender, 3 found an independent effect for women (PWS general internal medicine [GIM] sample, CTS, and 1 other),23, 104, 110 3 for men,41, 81, 98 and no gender effect in the others. Those that found men with higher satisfaction included 1 national study of family practitioners (FPs)98 and 2 academic studies, the latter of which found men with or without children with higher satisfaction compared to women with children, indicating children (or work life balance) may confound gender satisfaction.41, 81

Other national studies, including the CTS and PWS, did not find a gender difference in overall satisfaction,9, 35, 45, 56, 59, 68, 71, 73, 74, 88, 89, 96, 97, 106, 109 although the PWS did find differences in facets of satisfaction (women were more satisfied with relationships with colleagues and patients, but less satisfied with autonomy, pay, resources, and community relationships).83

In summary, the relationship between gender and overall satisfaction is likely confounded by many factors, and its independent effect is difficult to quantify given the heterogeneity of the studies reviewed. There may be gender differences in facets of satisfaction, evaluated only in the PWS.

Physician Race/Ethnicity

There were only 5 multivariate studies delineating the association of race/ethnicity with satisfaction, of which 4 found no difference.35, 50, 56, 88 One study found lower satisfaction in minorities compared to whites, but was only a small sample of preventive medicine physicians.93 Given the growing racial and ethnic diversity of physicians, future research should further explore this association.

Physician Specialty

Overall, pediatricians appear to have higher, and GIM to have lower, satisfaction when compared among the PCPs or specialists, although the interpretation is limited by the heterogeneity of the specialties included, how the specialties are demarcated, and the composition of the reference group.

Of the 17 studies that evaluated specialty, 6 found pediatricians had higher satisfaction (including the CTS),5, 70, 73, 74, 104, 106 and 5 found GIM to have lower satisfaction (including the CTS and PWS)5, 11, 74, 104, 106 than various other comparison groups. Generalized interpretation of the other studies is difficult, as 8 of the 11 arise from very specific convenience samples of physicians (within a state or county).35, 56, 68, 73, 89, 96, 97, 109

Job Factors

Job Demand

There is evidence of a relationship between subjective, but not objective, job demands and satisfaction (categorized in the literature as work stress/pressure, workload, and work hours). Of the 10 studies that evaluated various types of perceived work stress/pressure, 9 found a significant association with dissatisfaction.5, 11, 22, 23, 45, 50, 68, 98, 104

Of the 8 studies that evaluated workload, 4 of them evaluated subjective workload and found too much or too little was associated with dissatisfaction.50, 86, 107, 110 The other 4 evaluated actual number of visits (per week or per hour); 3 did not find an association5, 56, 68 and 1 found a weak but negative association with satisfaction.70

Of the 13 studies that evaluated work hours, 8 found no association (including the PWS, CTS, and WPHS).23, 50, 73, 88, 89, 104, 107, 112 Only 1 found a positive association; however, these results were from a stepwise regression analysis in which work stress had already been controlled for in the model, and a separate stepwise regression showed more work hours to be associated with higher stress levels.98 One found satisfaction with work hours had a strong association with overall satisfaction (but not actual work hours).86 Three found a weak negative association, the last of which found that a recent increase in work hours was significantly associated with dissatisfaction, but not actual work hours.2, 70, 84

Of the 3 studies that evaluated on‐call frequency, 2 found higher call frequency to be moderately negatively associated70, 88 and 1 found no association.50

In summary, there is unequivocal evidence that an imbalance between expected and experienced stress, pressure, or workload is moderately associated with dissatisfaction, but there is less evidence of a significant association with objective workload or work hours. On‐call duty may moderately negatively influence satisfaction, although based only on 2 small studies.

Job Control/Autonomy

There is also a strong association with satisfaction and physician control over elements in their work place. Although the studies are heterogeneous in their assessment of work control and autonomy, 15 of the 16 studies found these dimensions to be strongly and significantly associated with satisfaction.1, 2, 5, 20, 45, 50, 56, 68, 71, 86, 96, 97, 104, 107, 109, 112

Relationship with Colleagues

All 5 studies associating relationship with colleagues with satisfaction found the perception of collegial support/emnteraction to exert a moderate independent effect on satisfaction.5, 20, 89, 104, 112

Part‐time Work Status

Of the 3 studies that evaluated this factor in multivariate analysis, 2 did not find a significant association,71, 110 and 1 reported higher satisfaction with full time work (but did not report statistical values).9 Given the number of U.S. physicians working part time, this warrants further research.

Practice Characteristics (Size/Setting/Site/Ownership)

The interpretation of practice characteristics and satisfaction is limited by the heterogeneity in the way the studies partitioned the practice characteristics, and the reference group composition. Of the 10 studies that evaluated several types of practice settings, 5 found solo or small (1‐2 person) practice sizes more likely associated with dissatisfaction than larger practice sizes.88, 97, 104106 The PWS and CTS obstetrician‐gynecologist (ob‐gyn) subset also found health maintenance organization (HMO) satisfaction to be lower compared to various comparisons11, 71 (although the PWS GIM subset did not find a difference).23 Of the 6 surveys evaluating academic/medical school as the reference group, 4 found higher satisfaction with academics (including 2 from the CTS),9, 71, 104, 110 but 2 smaller studies did not find a difference with university affiliation or teaching.88, 96 Of those studies evaluating single vs. multispecialty groups, only 1 found single‐specialty with higher satisfaction than multispecialty89 and 3 others did not find a difference.56, 68, 73

Regarding practice size, 3 of the 4 found no association with satisfaction.56, 109, 110, 112 Only the CTS evaluated practice region and community size and found rural physicians, those in small metropolitan areas, and those in New England and West North central regions had higher satisfaction.45, 71, 74 The CTS also supports that physicians that are part‐owners or nonowners of their practice have higher satisfaction than full owners.45, 74

In summary, practice characteristics may influence physician satisfaction. Physicians in solo and HMO practices may be less satisfied than physicians in other practice settings and sizes, and academic affiliation may have a small but significant association with satisfaction. Practice size and single vs. multispecialty does not appear to significantly affect satisfaction, and satisfaction association with practice region, community size, and ownership is drawn primarily from the CTS and requires further study.

Patient‐payer Mix and Insurance Status

Capitation and provider‐managed care training does appear to affect satisfaction, but managed care or patient insurance status does not. Of the 9 studies that addressed the influence of managed care or capitation on satisfaction, the percentage of managed care practice revenue, number of managed care contracts, or percentage of managed care patients in a practice had no association with satisfaction.2, 71, 73, 74, 104, 105, 109, 112 Two studies did find that capitation was associated with provider dissatisfaction.2, 68 One CTS study found career satisfaction increased in states after the implementation of patient protection acts (implying physician satisfaction increased with less managed care control and more patient/provider empowerment).102 Two other studies found that physicians with training in managed care and positive attitudes about managed care were more likely to be satisfied.98, 112

Regarding insurance status, 3 studies of PCPs in different states did not find an association between satisfaction and insurance (private, none, Medicare, or Medicaid),35, 68, 89 although a study of rural PCPs found more dissatisfaction in those who reported a recent decrease in the number of patients with adequate insurance.84

In summary, there is unlikely an independent effect of patient‐payer mix or managed care on satisfaction. However, capitation may exert a negative effect, and managed care training (and attitude) may exert a positive effect.

Patient Characteristics

Most patient factors were not found to be independently associated with physician satisfaction, including patient complexity,23, 112 patient demands,5, 20 or specific patient demographics.56 The PWS and CTS studies found physicians who value and are able to maintain long‐term patient relationships were more satisfied.45, 104, 112 One study found that those who perceive patients lack confidence in physicians were more likely to be dissatisfied.109 In summary, patient characteristics do not appear to influence provider satisfaction, but a provider's value of, and ability to maintain, long‐term relationships, as well as their perception of patient trust, may influence satisfaction.

Income

Of the 14 studies that evaluated income, 11 found a positive association (the CTS, RWJ, and others) with actual income1, 2, 45, 74, 84, 88, 93, 104 and income satisfaction.97, 98, 109 Of the 3 that did not find an association with actual income, 2 were from the PWS,23, 112 and 1 from the CTS ob‐gyn subset.71

In summary, the association between actual income and satisfaction may be confounded by other variables (such as work hours and part‐time status), but satisfaction with income does appear to correlate with overall satisfaction.

Incentives

There does appear to be a moderate satisfaction association with the types of income incentives. The CTS studies found more satisfied physicians were those with the ability to make clinical decisions without affecting one's income (although that was not found for the PCP subset).45, 104, 106 Other studies found more satisfaction in those reporting a practice with incentives/emphasis based on quality, and less satisfaction in those with incentives/emphasis based on productivity or service reduction.1, 57, 112 Therefore, the evidence favors higher satisfaction with incentives based on quality rather than productivity or utilization.

Other Physician Factors

Board certification may be modestly positively associated with satisfaction, and being a foreign medical graduate may be modestly negatively associated with satisfaction, although this is limited to few studies.9, 45, 74, 98, 104, 106 Other physician characteristics, such as personal matters (marital status, home stress, mental health, personal satisfaction), work matters (amount of charity care they provide and history of work harassment), and personality (reform mindedness and tolerance for uncertainty) require further research.50, 56, 88, 98, 104

Discussion

Our review of satisfaction trends for U.S. physicians revealed relative stability except for a slight decline among PCPs. We found factors significantly associated with satisfaction to include both physician (age and specialty) and job factors (work demand, work control, colleague support, ability to maintain patient relationships, practice setting, income satisfaction, and incentive types). Based on limited data, the association with race/ethnicity and part‐time work requires more research, and factors that do not appear to have an independent effect on satisfaction include physician gender, patient‐payer mix, and patient characteristics.

As the fastest growing specialty in the history of American medicine, hospital medicine should focus on career satisfaction as a top priority in shaping the future of the more than 20,000 hospitalists now practicing. Although the term hospitalist was coined less than 15 years ago114 the demand for hospitalists is expected to grow to as many as 50,000 by 2020.115 In this time of rapid growth, in order to mold a sustainable specialty, we must all recognize the factors that contribute to satisfaction and strive to maintain good job‐person fit. For individual hospitalists, all of these mediators of satisfaction should be considered when contemplating employment. To ensure a mutual fit, each physician must reflect on how their goals and values coincide with those of the program they are considering. For hospital medicine program leaders, areas of program‐specific dissatisfaction must be continually sought and addressed.

In this review, the variables with the strongest associations with satisfaction that are most pertinent to hospitalists are work demand, control, income/emncentives, and collegial relationships. These variables coincide with the 4 pillars of career satisfaction identified in the Society of Hospital Medicine Career Satisfaction Task Force.116 Perceived work stress/pressure and objective workload can easily (and serially) be measured, and the latter can be compared to national benchmarks to ensure appropriate workload expectations.116 Reducing work pressure/stress may involve assessing and matching variations in workload with manpower, reducing nonclinical tasks by utilizing administrative assistants or physician extenders, or having an emergency plan for unexpected absences. Autonomy and control can be assessed by the job‐fit questionnaire to identify programwide and physician‐specific areas of potential discontent.116 Increasing autonomy/control may involve pursuing leadership within hospital projects or committees, creatively scheduling flexibility, and seeking support from hospital administration. Income expectations should also be couched within national benchmarks, and incentive programs should reflect work quality rather than quantity. Collegial support can be enhanced by instituting a mentoring program, journal club, regular social function, or configuration of offices spaces to allow proximity. Although the conclusions of this review are limited by the lack of hospitalists included in the studies and our inability to perform a meta‐analysis, we believe extrapolation of this information to hospitalist physicians is valid and appropriate. That said, future studies specifically addressing hospitalist satisfaction are needed to ensure this.

Conclusions

In summary, physician satisfaction is not a static parameter, but a dynamic entity mediated by both physician‐related and job‐related factors, the majority of which are modifiable. Thus hospitalists and hospital medicine program leaders can be optimistic that uncovering the presence of dissatisfaction through surveys, and addressing the issues triggering it, should enhance physician satisfaction. With improved awareness of mitigating factors of dissatisfaction and commitments to improvement, there is reason for hope. It is unreasonable to believe that dissatisfaction is intrinsic to any medical profession. It is reasonable to believe that physician satisfaction, with all of its desirable implications, can be attained through continual research and prioritization.

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The burden of dissatisfaction among medical professionals concerns both physicians and policy makers, especially given the potential ramifications on the work force.1, 2 Abundant research documents a strong relationship between low levels of physician satisfaction and burnout,37 intention to leave,6, 815 and job turnover.13, 1618 Moreover, low physician satisfaction is associated with self‐reported psychiatric symptoms1921 and poorer perceived mental health.22 Not surprisingly, dissatisfied physicians are less likely to recommend to medical students that they pursue their specialty.23

Importantly, physician satisfaction appears to benefit patients. Several studies show a positive relationship between higher physician satisfaction and patient satisfaction and outcomes.2426 Patients cared for by satisfied physicians declare more trust and confidence in their physicians, have better continuity, higher ratings of their care,26, 27 lower no‐show rates,25 and enhanced adherence to their medical care.28 There is also some evidence that higher job satisfaction is associated with lower likelihood of patient errors and suboptimal patient care.29

Physician satisfaction can be influenced by factors intrinsic to the individual physician (age, gender, race, and specialty) and extrinsic to the physician (work environment, practice setting, patient characteristics, and income).22, 30 In this way, satisfaction is not a static property in any physician or physician group, but reflects a dynamic interplay among the expectations and environments within which they work. Although each physician, physician group, and specialty has distinct factors that affect satisfaction, none are immune to potential dissatisfaction.

Given the documented impact of physician satisfaction on multiple aspects of healthcare delivery, we undertook a systematic review of the existing literature to achieve a greater understanding of the current state of U.S. physician satisfaction. In addition, we sought to identify the major survey tools used to measure satisfaction and the characteristics intrinsic and extrinsic to the physician that are associated with satisfaction. We conclude by suggesting needed additional research.

Materials and Methods

We performed a literature search of MEDLINE (http://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed) for articles from 1970 through 2007 to identify studies that provide a quantitative assessment of U.S. physician satisfaction and/or the factors associated with satisfaction. With assistance from a medical librarian with expertise in search coordination, we chose the following Medical Subject Heading (MeSH) phrases: (physicians OR physician's role OR physician's, women) AND (job satisfaction OR career satisfaction OR burnout). The search was further limited to humans and abstracts with no language restriction. The reviewers also searched reference lists to identify other relevant studies not in the search, as well as available online abstracts from the national meetings of the Society of Hospital Medicine (20022005) and the Society of General Internal Medicine (20052007). All of the abstracts were reviewed by 2 independent reviewers (D.S. and S.M.) for inclusion into the study. Study inclusion was limited to articles that reported physician satisfaction (career, professional, work, practice, job satisfaction, or overall satisfaction) or factors associated with physician satisfaction. Disagreements were resolved by consensus. After exclusions, 97 articles were included for review (Figure 1). Each study was listed by physician type sampled, whether the information was derived from a previously conducted (larger) sample, the sample size and response rate, the satisfaction measurement/subale, and satisfaction results (Appendix 1). Thirty‐seven studies that utilized multivariate analyses to report factors independently associated with satisfaction are listed in Appendix 2, along with the direction and strength of association. Confounders controlled for in these studies are listed in Appendix 3. Studies that extracted data from 1 of the 4 nationally representative studies (Community Tracking Studies [CTS], Physician Worklife Study [PWS], Women Physician Health Study [WPHS], and Robert Wood Johnson Studies [RWJS]) were considered of higher quality and generalizability than the small cross‐sectional studies. Due to the heterogeneity in physician type sampled and multiple satisfaction measurements used, a meta‐analysis of the literature was not performed, and a qualitative analysis is reported.

Figure 1
Exclusions. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Results

Of the 97 studies, 69 were cross‐sectional (distributed to purposive and often convenience samples of physicians) with sampling sizes ranging from 39 to 6441 and response rates ranging from 31% to 97% (Appendix 1). The other 28 were from larger nationally representative studies (Table 1), including the CTS (n = 92, 45, 71, 74, 91, 102, 104106), RWJS (n = 81, 18, 3334, 39, 40, 60, 61), PWS (n = 711, 22, 23, 55, 83, 92, 99), and WPHS (n = 444, 4951). Fourteen articles reported information from longitudinal (n = 2)18, 86 or repeated cross‐sectional studies (n = 12)1, 2, 39, 73, 76, 79, 85, 91, 96, 97, 102, 110 to help determine satisfaction trends. The survey instruments from the 4 national physician surveys are outlined in Table 1. The types of satisfaction reported are outlined in Figure 2.

Survey Tools to Measure Physician Satisfaction
Survey Satisfaction Measured MD Type Sampled Sampled/Responded/Adjusted Response [n/n/% (year of survey)]
  • Abbreviations: AMA, American Medical Association; CTS, Community Tracking Surveys; FP, family practitioner; IM, internal medicine; MD, medical doctor; PWS, Physicians Worklife Survey; RWJ, Robert Wood Johnson Surveys; WPHS, Women Physicians Health Survey.

PWS 150‐item survey; 3 satisfaction domains (job, career, and specialty; all 5‐point Likert scales); 10 satisfaction facets AMA Masterfile; random sample; FP, IM, IM specialists, pediatrics, and pediatric specialists 5704/2326/52%
CTS Career satisfaction (5 point Likert scale) AMA Masterfile; random sample; all physicians in direct patient care 20+ hours a week 19054/12385/65% (1996); 20131/12280/61% (1998); 20998/12389/59% (2000)
RWJ Practice satisfaction (4‐point Likert scale); career satisfaction (3‐point Likert scale) AMA Masterfile; random sample; 1987: physicians <40 years old in practice 1‐6 years; 1991: physicians <45 years old in practice 2‐9 years; 1997: physicians <52 years old in practice 8‐17 years 8379/5865/70% (1987); 9745/4373/70% (1991); 2093/1549/74% (1997)
WPHS Career satisfaction (5‐point Likert scale) AMA Masterfile; random sample; female medical school graduates from 1950 to 1989 4501/2656/59%
Figure 2
Types of satisfaction reported. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Trends in U.S. Physician Satisfaction

The CTS physician survey used sophisticated large‐scale random sampling methods and consistent questionnaires, thus allowing assessment of trends. From these repeated cross‐sectional surveys, career satisfaction from 1996 to 2001 was stable (81% to 80% among primary care physicians [PCPs], and 81% to 81% among specialists), although the portion of PCPs who report being very satisfied declined from 42% to 38% (P < 0.001) with no significant change for specialists (43% to 42%; P = 0.20).2

The RWJ surveys found small overall declines. From 1991 to 1997, practice satisfaction declined from 86% to 79%, and career satisfaction declined 96% to 88% (P = not available [NA]).1 A comparison of the 1991 RWJ survey to a 1996 age‐matched California physician survey and also found practice satisfaction declined slightly (86% to 82%, P = NA; very satisfied declined 48% to 37%, P = 0.05).39

Two studies of PCPs in Massachusetts found similar modest declines. The first found practice satisfaction declined from 80% to 66% (1996 to 1999; P < 0.001),73 and the second found a nonsignificant decline in professional satisfaction from 81% to 73% (1986 to 1997; P = not significant [NS]).85 Other studies of specific physician populations found insignificant changes in satisfaction levels during the study periods.76, 79, 86, 91, 96, 97, 110 In summary, recent overall physician satisfaction is relatively unchanged, although there may be modest declines in PCPs and young physicians who report high satisfaction, as evidenced from the CTS, RWJ studies, and other small physician cohorts.

Major Characteristics Associated with Physician Satisfaction

Both factors intrinsic to the physician and characteristics of the job influence physician satisfaction (Figure 3). Intrinsic physician factors are typically not changeable when developing strategies to improve satisfaction. However, they do significantly affect what physicians consider important when choosing a job, and influence how physicians respond to changes in the job. Job characteristics, or extrinsic factors, are generally considered more modifiable when developing institutional strategies to improve satisfaction. Although the intrinsic factors are seemingly unmodifiable, one must take them into account when assessing satisfaction in order to determine the independent effects that the more modifiable extrinsic factors have on satisfaction. The next section describes the variables associated with satisfaction, from the 37 studies that utilized multivariate analyses (Appendix 2) to control for other factors (Appendix 3).

Figure 3
Intrinsic and extrinsic factors associated with satisfaction. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Physician Factors

Physician Age

Age is likely weakly but independently associated with satisfaction, although interpretation is limited by the heterogeneity of the physician samples and the manner in which age is reported. Of the 18 studies that evaluated age, 3 (from the PWS, WPHS, and 1 other) found a weak but positive association.9, 23, 50 Five (from the CTS and others) found a U‐shaped relationship (those at the extremes of age were the most satisfied),59, 68, 70, 71, 74 and 3 found an inverse association (2 CTS PCP subsets, and 1 small single‐county study.35, 45, 106 Six found no association, of which only 1 was from a nationally representative sample (PWS PCPs).5, 96, 97, 109, 110, 112

As a surrogate for age, 6 studies evaluated years in practice or years since medical school graduation. Of these, 2 found a weak but positive association (although only seen in specialists, not PCPs in the CTS),89, 104 and 1 found a negative association (when dichotomized),73 with no association in 3 smaller studies.5, 56, 88

These studies support that age is weakly but independently associated with physician satisfaction when studied as a continuous variable. When studied within various age brackets, studies support a U‐shaped association, with the highest satisfaction in those at the extremes of ages, although this may not be true for PCPs. In addition, the association with older age may be the result of less satisfied physicians leaving the profession.

Physician Gender

The association between gender and overall satisfaction is difficult to interpret due to the heterogeneity of the satisfaction assessments and included confounders, although there may be gender differences in facets of satisfaction. Of the 22 studies that evaluated gender, 3 found an independent effect for women (PWS general internal medicine [GIM] sample, CTS, and 1 other),23, 104, 110 3 for men,41, 81, 98 and no gender effect in the others. Those that found men with higher satisfaction included 1 national study of family practitioners (FPs)98 and 2 academic studies, the latter of which found men with or without children with higher satisfaction compared to women with children, indicating children (or work life balance) may confound gender satisfaction.41, 81

Other national studies, including the CTS and PWS, did not find a gender difference in overall satisfaction,9, 35, 45, 56, 59, 68, 71, 73, 74, 88, 89, 96, 97, 106, 109 although the PWS did find differences in facets of satisfaction (women were more satisfied with relationships with colleagues and patients, but less satisfied with autonomy, pay, resources, and community relationships).83

In summary, the relationship between gender and overall satisfaction is likely confounded by many factors, and its independent effect is difficult to quantify given the heterogeneity of the studies reviewed. There may be gender differences in facets of satisfaction, evaluated only in the PWS.

Physician Race/Ethnicity

There were only 5 multivariate studies delineating the association of race/ethnicity with satisfaction, of which 4 found no difference.35, 50, 56, 88 One study found lower satisfaction in minorities compared to whites, but was only a small sample of preventive medicine physicians.93 Given the growing racial and ethnic diversity of physicians, future research should further explore this association.

Physician Specialty

Overall, pediatricians appear to have higher, and GIM to have lower, satisfaction when compared among the PCPs or specialists, although the interpretation is limited by the heterogeneity of the specialties included, how the specialties are demarcated, and the composition of the reference group.

Of the 17 studies that evaluated specialty, 6 found pediatricians had higher satisfaction (including the CTS),5, 70, 73, 74, 104, 106 and 5 found GIM to have lower satisfaction (including the CTS and PWS)5, 11, 74, 104, 106 than various other comparison groups. Generalized interpretation of the other studies is difficult, as 8 of the 11 arise from very specific convenience samples of physicians (within a state or county).35, 56, 68, 73, 89, 96, 97, 109

Job Factors

Job Demand

There is evidence of a relationship between subjective, but not objective, job demands and satisfaction (categorized in the literature as work stress/pressure, workload, and work hours). Of the 10 studies that evaluated various types of perceived work stress/pressure, 9 found a significant association with dissatisfaction.5, 11, 22, 23, 45, 50, 68, 98, 104

Of the 8 studies that evaluated workload, 4 of them evaluated subjective workload and found too much or too little was associated with dissatisfaction.50, 86, 107, 110 The other 4 evaluated actual number of visits (per week or per hour); 3 did not find an association5, 56, 68 and 1 found a weak but negative association with satisfaction.70

Of the 13 studies that evaluated work hours, 8 found no association (including the PWS, CTS, and WPHS).23, 50, 73, 88, 89, 104, 107, 112 Only 1 found a positive association; however, these results were from a stepwise regression analysis in which work stress had already been controlled for in the model, and a separate stepwise regression showed more work hours to be associated with higher stress levels.98 One found satisfaction with work hours had a strong association with overall satisfaction (but not actual work hours).86 Three found a weak negative association, the last of which found that a recent increase in work hours was significantly associated with dissatisfaction, but not actual work hours.2, 70, 84

Of the 3 studies that evaluated on‐call frequency, 2 found higher call frequency to be moderately negatively associated70, 88 and 1 found no association.50

In summary, there is unequivocal evidence that an imbalance between expected and experienced stress, pressure, or workload is moderately associated with dissatisfaction, but there is less evidence of a significant association with objective workload or work hours. On‐call duty may moderately negatively influence satisfaction, although based only on 2 small studies.

Job Control/Autonomy

There is also a strong association with satisfaction and physician control over elements in their work place. Although the studies are heterogeneous in their assessment of work control and autonomy, 15 of the 16 studies found these dimensions to be strongly and significantly associated with satisfaction.1, 2, 5, 20, 45, 50, 56, 68, 71, 86, 96, 97, 104, 107, 109, 112

Relationship with Colleagues

All 5 studies associating relationship with colleagues with satisfaction found the perception of collegial support/emnteraction to exert a moderate independent effect on satisfaction.5, 20, 89, 104, 112

Part‐time Work Status

Of the 3 studies that evaluated this factor in multivariate analysis, 2 did not find a significant association,71, 110 and 1 reported higher satisfaction with full time work (but did not report statistical values).9 Given the number of U.S. physicians working part time, this warrants further research.

Practice Characteristics (Size/Setting/Site/Ownership)

The interpretation of practice characteristics and satisfaction is limited by the heterogeneity in the way the studies partitioned the practice characteristics, and the reference group composition. Of the 10 studies that evaluated several types of practice settings, 5 found solo or small (1‐2 person) practice sizes more likely associated with dissatisfaction than larger practice sizes.88, 97, 104106 The PWS and CTS obstetrician‐gynecologist (ob‐gyn) subset also found health maintenance organization (HMO) satisfaction to be lower compared to various comparisons11, 71 (although the PWS GIM subset did not find a difference).23 Of the 6 surveys evaluating academic/medical school as the reference group, 4 found higher satisfaction with academics (including 2 from the CTS),9, 71, 104, 110 but 2 smaller studies did not find a difference with university affiliation or teaching.88, 96 Of those studies evaluating single vs. multispecialty groups, only 1 found single‐specialty with higher satisfaction than multispecialty89 and 3 others did not find a difference.56, 68, 73

Regarding practice size, 3 of the 4 found no association with satisfaction.56, 109, 110, 112 Only the CTS evaluated practice region and community size and found rural physicians, those in small metropolitan areas, and those in New England and West North central regions had higher satisfaction.45, 71, 74 The CTS also supports that physicians that are part‐owners or nonowners of their practice have higher satisfaction than full owners.45, 74

In summary, practice characteristics may influence physician satisfaction. Physicians in solo and HMO practices may be less satisfied than physicians in other practice settings and sizes, and academic affiliation may have a small but significant association with satisfaction. Practice size and single vs. multispecialty does not appear to significantly affect satisfaction, and satisfaction association with practice region, community size, and ownership is drawn primarily from the CTS and requires further study.

Patient‐payer Mix and Insurance Status

Capitation and provider‐managed care training does appear to affect satisfaction, but managed care or patient insurance status does not. Of the 9 studies that addressed the influence of managed care or capitation on satisfaction, the percentage of managed care practice revenue, number of managed care contracts, or percentage of managed care patients in a practice had no association with satisfaction.2, 71, 73, 74, 104, 105, 109, 112 Two studies did find that capitation was associated with provider dissatisfaction.2, 68 One CTS study found career satisfaction increased in states after the implementation of patient protection acts (implying physician satisfaction increased with less managed care control and more patient/provider empowerment).102 Two other studies found that physicians with training in managed care and positive attitudes about managed care were more likely to be satisfied.98, 112

Regarding insurance status, 3 studies of PCPs in different states did not find an association between satisfaction and insurance (private, none, Medicare, or Medicaid),35, 68, 89 although a study of rural PCPs found more dissatisfaction in those who reported a recent decrease in the number of patients with adequate insurance.84

In summary, there is unlikely an independent effect of patient‐payer mix or managed care on satisfaction. However, capitation may exert a negative effect, and managed care training (and attitude) may exert a positive effect.

Patient Characteristics

Most patient factors were not found to be independently associated with physician satisfaction, including patient complexity,23, 112 patient demands,5, 20 or specific patient demographics.56 The PWS and CTS studies found physicians who value and are able to maintain long‐term patient relationships were more satisfied.45, 104, 112 One study found that those who perceive patients lack confidence in physicians were more likely to be dissatisfied.109 In summary, patient characteristics do not appear to influence provider satisfaction, but a provider's value of, and ability to maintain, long‐term relationships, as well as their perception of patient trust, may influence satisfaction.

Income

Of the 14 studies that evaluated income, 11 found a positive association (the CTS, RWJ, and others) with actual income1, 2, 45, 74, 84, 88, 93, 104 and income satisfaction.97, 98, 109 Of the 3 that did not find an association with actual income, 2 were from the PWS,23, 112 and 1 from the CTS ob‐gyn subset.71

In summary, the association between actual income and satisfaction may be confounded by other variables (such as work hours and part‐time status), but satisfaction with income does appear to correlate with overall satisfaction.

Incentives

There does appear to be a moderate satisfaction association with the types of income incentives. The CTS studies found more satisfied physicians were those with the ability to make clinical decisions without affecting one's income (although that was not found for the PCP subset).45, 104, 106 Other studies found more satisfaction in those reporting a practice with incentives/emphasis based on quality, and less satisfaction in those with incentives/emphasis based on productivity or service reduction.1, 57, 112 Therefore, the evidence favors higher satisfaction with incentives based on quality rather than productivity or utilization.

Other Physician Factors

Board certification may be modestly positively associated with satisfaction, and being a foreign medical graduate may be modestly negatively associated with satisfaction, although this is limited to few studies.9, 45, 74, 98, 104, 106 Other physician characteristics, such as personal matters (marital status, home stress, mental health, personal satisfaction), work matters (amount of charity care they provide and history of work harassment), and personality (reform mindedness and tolerance for uncertainty) require further research.50, 56, 88, 98, 104

Discussion

Our review of satisfaction trends for U.S. physicians revealed relative stability except for a slight decline among PCPs. We found factors significantly associated with satisfaction to include both physician (age and specialty) and job factors (work demand, work control, colleague support, ability to maintain patient relationships, practice setting, income satisfaction, and incentive types). Based on limited data, the association with race/ethnicity and part‐time work requires more research, and factors that do not appear to have an independent effect on satisfaction include physician gender, patient‐payer mix, and patient characteristics.

As the fastest growing specialty in the history of American medicine, hospital medicine should focus on career satisfaction as a top priority in shaping the future of the more than 20,000 hospitalists now practicing. Although the term hospitalist was coined less than 15 years ago114 the demand for hospitalists is expected to grow to as many as 50,000 by 2020.115 In this time of rapid growth, in order to mold a sustainable specialty, we must all recognize the factors that contribute to satisfaction and strive to maintain good job‐person fit. For individual hospitalists, all of these mediators of satisfaction should be considered when contemplating employment. To ensure a mutual fit, each physician must reflect on how their goals and values coincide with those of the program they are considering. For hospital medicine program leaders, areas of program‐specific dissatisfaction must be continually sought and addressed.

In this review, the variables with the strongest associations with satisfaction that are most pertinent to hospitalists are work demand, control, income/emncentives, and collegial relationships. These variables coincide with the 4 pillars of career satisfaction identified in the Society of Hospital Medicine Career Satisfaction Task Force.116 Perceived work stress/pressure and objective workload can easily (and serially) be measured, and the latter can be compared to national benchmarks to ensure appropriate workload expectations.116 Reducing work pressure/stress may involve assessing and matching variations in workload with manpower, reducing nonclinical tasks by utilizing administrative assistants or physician extenders, or having an emergency plan for unexpected absences. Autonomy and control can be assessed by the job‐fit questionnaire to identify programwide and physician‐specific areas of potential discontent.116 Increasing autonomy/control may involve pursuing leadership within hospital projects or committees, creatively scheduling flexibility, and seeking support from hospital administration. Income expectations should also be couched within national benchmarks, and incentive programs should reflect work quality rather than quantity. Collegial support can be enhanced by instituting a mentoring program, journal club, regular social function, or configuration of offices spaces to allow proximity. Although the conclusions of this review are limited by the lack of hospitalists included in the studies and our inability to perform a meta‐analysis, we believe extrapolation of this information to hospitalist physicians is valid and appropriate. That said, future studies specifically addressing hospitalist satisfaction are needed to ensure this.

Conclusions

In summary, physician satisfaction is not a static parameter, but a dynamic entity mediated by both physician‐related and job‐related factors, the majority of which are modifiable. Thus hospitalists and hospital medicine program leaders can be optimistic that uncovering the presence of dissatisfaction through surveys, and addressing the issues triggering it, should enhance physician satisfaction. With improved awareness of mitigating factors of dissatisfaction and commitments to improvement, there is reason for hope. It is unreasonable to believe that dissatisfaction is intrinsic to any medical profession. It is reasonable to believe that physician satisfaction, with all of its desirable implications, can be attained through continual research and prioritization.

The burden of dissatisfaction among medical professionals concerns both physicians and policy makers, especially given the potential ramifications on the work force.1, 2 Abundant research documents a strong relationship between low levels of physician satisfaction and burnout,37 intention to leave,6, 815 and job turnover.13, 1618 Moreover, low physician satisfaction is associated with self‐reported psychiatric symptoms1921 and poorer perceived mental health.22 Not surprisingly, dissatisfied physicians are less likely to recommend to medical students that they pursue their specialty.23

Importantly, physician satisfaction appears to benefit patients. Several studies show a positive relationship between higher physician satisfaction and patient satisfaction and outcomes.2426 Patients cared for by satisfied physicians declare more trust and confidence in their physicians, have better continuity, higher ratings of their care,26, 27 lower no‐show rates,25 and enhanced adherence to their medical care.28 There is also some evidence that higher job satisfaction is associated with lower likelihood of patient errors and suboptimal patient care.29

Physician satisfaction can be influenced by factors intrinsic to the individual physician (age, gender, race, and specialty) and extrinsic to the physician (work environment, practice setting, patient characteristics, and income).22, 30 In this way, satisfaction is not a static property in any physician or physician group, but reflects a dynamic interplay among the expectations and environments within which they work. Although each physician, physician group, and specialty has distinct factors that affect satisfaction, none are immune to potential dissatisfaction.

Given the documented impact of physician satisfaction on multiple aspects of healthcare delivery, we undertook a systematic review of the existing literature to achieve a greater understanding of the current state of U.S. physician satisfaction. In addition, we sought to identify the major survey tools used to measure satisfaction and the characteristics intrinsic and extrinsic to the physician that are associated with satisfaction. We conclude by suggesting needed additional research.

Materials and Methods

We performed a literature search of MEDLINE (http://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed) for articles from 1970 through 2007 to identify studies that provide a quantitative assessment of U.S. physician satisfaction and/or the factors associated with satisfaction. With assistance from a medical librarian with expertise in search coordination, we chose the following Medical Subject Heading (MeSH) phrases: (physicians OR physician's role OR physician's, women) AND (job satisfaction OR career satisfaction OR burnout). The search was further limited to humans and abstracts with no language restriction. The reviewers also searched reference lists to identify other relevant studies not in the search, as well as available online abstracts from the national meetings of the Society of Hospital Medicine (20022005) and the Society of General Internal Medicine (20052007). All of the abstracts were reviewed by 2 independent reviewers (D.S. and S.M.) for inclusion into the study. Study inclusion was limited to articles that reported physician satisfaction (career, professional, work, practice, job satisfaction, or overall satisfaction) or factors associated with physician satisfaction. Disagreements were resolved by consensus. After exclusions, 97 articles were included for review (Figure 1). Each study was listed by physician type sampled, whether the information was derived from a previously conducted (larger) sample, the sample size and response rate, the satisfaction measurement/subale, and satisfaction results (Appendix 1). Thirty‐seven studies that utilized multivariate analyses to report factors independently associated with satisfaction are listed in Appendix 2, along with the direction and strength of association. Confounders controlled for in these studies are listed in Appendix 3. Studies that extracted data from 1 of the 4 nationally representative studies (Community Tracking Studies [CTS], Physician Worklife Study [PWS], Women Physician Health Study [WPHS], and Robert Wood Johnson Studies [RWJS]) were considered of higher quality and generalizability than the small cross‐sectional studies. Due to the heterogeneity in physician type sampled and multiple satisfaction measurements used, a meta‐analysis of the literature was not performed, and a qualitative analysis is reported.

Figure 1
Exclusions. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Results

Of the 97 studies, 69 were cross‐sectional (distributed to purposive and often convenience samples of physicians) with sampling sizes ranging from 39 to 6441 and response rates ranging from 31% to 97% (Appendix 1). The other 28 were from larger nationally representative studies (Table 1), including the CTS (n = 92, 45, 71, 74, 91, 102, 104106), RWJS (n = 81, 18, 3334, 39, 40, 60, 61), PWS (n = 711, 22, 23, 55, 83, 92, 99), and WPHS (n = 444, 4951). Fourteen articles reported information from longitudinal (n = 2)18, 86 or repeated cross‐sectional studies (n = 12)1, 2, 39, 73, 76, 79, 85, 91, 96, 97, 102, 110 to help determine satisfaction trends. The survey instruments from the 4 national physician surveys are outlined in Table 1. The types of satisfaction reported are outlined in Figure 2.

Survey Tools to Measure Physician Satisfaction
Survey Satisfaction Measured MD Type Sampled Sampled/Responded/Adjusted Response [n/n/% (year of survey)]
  • Abbreviations: AMA, American Medical Association; CTS, Community Tracking Surveys; FP, family practitioner; IM, internal medicine; MD, medical doctor; PWS, Physicians Worklife Survey; RWJ, Robert Wood Johnson Surveys; WPHS, Women Physicians Health Survey.

PWS 150‐item survey; 3 satisfaction domains (job, career, and specialty; all 5‐point Likert scales); 10 satisfaction facets AMA Masterfile; random sample; FP, IM, IM specialists, pediatrics, and pediatric specialists 5704/2326/52%
CTS Career satisfaction (5 point Likert scale) AMA Masterfile; random sample; all physicians in direct patient care 20+ hours a week 19054/12385/65% (1996); 20131/12280/61% (1998); 20998/12389/59% (2000)
RWJ Practice satisfaction (4‐point Likert scale); career satisfaction (3‐point Likert scale) AMA Masterfile; random sample; 1987: physicians <40 years old in practice 1‐6 years; 1991: physicians <45 years old in practice 2‐9 years; 1997: physicians <52 years old in practice 8‐17 years 8379/5865/70% (1987); 9745/4373/70% (1991); 2093/1549/74% (1997)
WPHS Career satisfaction (5‐point Likert scale) AMA Masterfile; random sample; female medical school graduates from 1950 to 1989 4501/2656/59%
Figure 2
Types of satisfaction reported. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Trends in U.S. Physician Satisfaction

The CTS physician survey used sophisticated large‐scale random sampling methods and consistent questionnaires, thus allowing assessment of trends. From these repeated cross‐sectional surveys, career satisfaction from 1996 to 2001 was stable (81% to 80% among primary care physicians [PCPs], and 81% to 81% among specialists), although the portion of PCPs who report being very satisfied declined from 42% to 38% (P < 0.001) with no significant change for specialists (43% to 42%; P = 0.20).2

The RWJ surveys found small overall declines. From 1991 to 1997, practice satisfaction declined from 86% to 79%, and career satisfaction declined 96% to 88% (P = not available [NA]).1 A comparison of the 1991 RWJ survey to a 1996 age‐matched California physician survey and also found practice satisfaction declined slightly (86% to 82%, P = NA; very satisfied declined 48% to 37%, P = 0.05).39

Two studies of PCPs in Massachusetts found similar modest declines. The first found practice satisfaction declined from 80% to 66% (1996 to 1999; P < 0.001),73 and the second found a nonsignificant decline in professional satisfaction from 81% to 73% (1986 to 1997; P = not significant [NS]).85 Other studies of specific physician populations found insignificant changes in satisfaction levels during the study periods.76, 79, 86, 91, 96, 97, 110 In summary, recent overall physician satisfaction is relatively unchanged, although there may be modest declines in PCPs and young physicians who report high satisfaction, as evidenced from the CTS, RWJ studies, and other small physician cohorts.

Major Characteristics Associated with Physician Satisfaction

Both factors intrinsic to the physician and characteristics of the job influence physician satisfaction (Figure 3). Intrinsic physician factors are typically not changeable when developing strategies to improve satisfaction. However, they do significantly affect what physicians consider important when choosing a job, and influence how physicians respond to changes in the job. Job characteristics, or extrinsic factors, are generally considered more modifiable when developing institutional strategies to improve satisfaction. Although the intrinsic factors are seemingly unmodifiable, one must take them into account when assessing satisfaction in order to determine the independent effects that the more modifiable extrinsic factors have on satisfaction. The next section describes the variables associated with satisfaction, from the 37 studies that utilized multivariate analyses (Appendix 2) to control for other factors (Appendix 3).

Figure 3
Intrinsic and extrinsic factors associated with satisfaction. [Color figure can be viewed in the online issue, which is available at www.interscience.wiley.com.]

Physician Factors

Physician Age

Age is likely weakly but independently associated with satisfaction, although interpretation is limited by the heterogeneity of the physician samples and the manner in which age is reported. Of the 18 studies that evaluated age, 3 (from the PWS, WPHS, and 1 other) found a weak but positive association.9, 23, 50 Five (from the CTS and others) found a U‐shaped relationship (those at the extremes of age were the most satisfied),59, 68, 70, 71, 74 and 3 found an inverse association (2 CTS PCP subsets, and 1 small single‐county study.35, 45, 106 Six found no association, of which only 1 was from a nationally representative sample (PWS PCPs).5, 96, 97, 109, 110, 112

As a surrogate for age, 6 studies evaluated years in practice or years since medical school graduation. Of these, 2 found a weak but positive association (although only seen in specialists, not PCPs in the CTS),89, 104 and 1 found a negative association (when dichotomized),73 with no association in 3 smaller studies.5, 56, 88

These studies support that age is weakly but independently associated with physician satisfaction when studied as a continuous variable. When studied within various age brackets, studies support a U‐shaped association, with the highest satisfaction in those at the extremes of ages, although this may not be true for PCPs. In addition, the association with older age may be the result of less satisfied physicians leaving the profession.

Physician Gender

The association between gender and overall satisfaction is difficult to interpret due to the heterogeneity of the satisfaction assessments and included confounders, although there may be gender differences in facets of satisfaction. Of the 22 studies that evaluated gender, 3 found an independent effect for women (PWS general internal medicine [GIM] sample, CTS, and 1 other),23, 104, 110 3 for men,41, 81, 98 and no gender effect in the others. Those that found men with higher satisfaction included 1 national study of family practitioners (FPs)98 and 2 academic studies, the latter of which found men with or without children with higher satisfaction compared to women with children, indicating children (or work life balance) may confound gender satisfaction.41, 81

Other national studies, including the CTS and PWS, did not find a gender difference in overall satisfaction,9, 35, 45, 56, 59, 68, 71, 73, 74, 88, 89, 96, 97, 106, 109 although the PWS did find differences in facets of satisfaction (women were more satisfied with relationships with colleagues and patients, but less satisfied with autonomy, pay, resources, and community relationships).83

In summary, the relationship between gender and overall satisfaction is likely confounded by many factors, and its independent effect is difficult to quantify given the heterogeneity of the studies reviewed. There may be gender differences in facets of satisfaction, evaluated only in the PWS.

Physician Race/Ethnicity

There were only 5 multivariate studies delineating the association of race/ethnicity with satisfaction, of which 4 found no difference.35, 50, 56, 88 One study found lower satisfaction in minorities compared to whites, but was only a small sample of preventive medicine physicians.93 Given the growing racial and ethnic diversity of physicians, future research should further explore this association.

Physician Specialty

Overall, pediatricians appear to have higher, and GIM to have lower, satisfaction when compared among the PCPs or specialists, although the interpretation is limited by the heterogeneity of the specialties included, how the specialties are demarcated, and the composition of the reference group.

Of the 17 studies that evaluated specialty, 6 found pediatricians had higher satisfaction (including the CTS),5, 70, 73, 74, 104, 106 and 5 found GIM to have lower satisfaction (including the CTS and PWS)5, 11, 74, 104, 106 than various other comparison groups. Generalized interpretation of the other studies is difficult, as 8 of the 11 arise from very specific convenience samples of physicians (within a state or county).35, 56, 68, 73, 89, 96, 97, 109

Job Factors

Job Demand

There is evidence of a relationship between subjective, but not objective, job demands and satisfaction (categorized in the literature as work stress/pressure, workload, and work hours). Of the 10 studies that evaluated various types of perceived work stress/pressure, 9 found a significant association with dissatisfaction.5, 11, 22, 23, 45, 50, 68, 98, 104

Of the 8 studies that evaluated workload, 4 of them evaluated subjective workload and found too much or too little was associated with dissatisfaction.50, 86, 107, 110 The other 4 evaluated actual number of visits (per week or per hour); 3 did not find an association5, 56, 68 and 1 found a weak but negative association with satisfaction.70

Of the 13 studies that evaluated work hours, 8 found no association (including the PWS, CTS, and WPHS).23, 50, 73, 88, 89, 104, 107, 112 Only 1 found a positive association; however, these results were from a stepwise regression analysis in which work stress had already been controlled for in the model, and a separate stepwise regression showed more work hours to be associated with higher stress levels.98 One found satisfaction with work hours had a strong association with overall satisfaction (but not actual work hours).86 Three found a weak negative association, the last of which found that a recent increase in work hours was significantly associated with dissatisfaction, but not actual work hours.2, 70, 84

Of the 3 studies that evaluated on‐call frequency, 2 found higher call frequency to be moderately negatively associated70, 88 and 1 found no association.50

In summary, there is unequivocal evidence that an imbalance between expected and experienced stress, pressure, or workload is moderately associated with dissatisfaction, but there is less evidence of a significant association with objective workload or work hours. On‐call duty may moderately negatively influence satisfaction, although based only on 2 small studies.

Job Control/Autonomy

There is also a strong association with satisfaction and physician control over elements in their work place. Although the studies are heterogeneous in their assessment of work control and autonomy, 15 of the 16 studies found these dimensions to be strongly and significantly associated with satisfaction.1, 2, 5, 20, 45, 50, 56, 68, 71, 86, 96, 97, 104, 107, 109, 112

Relationship with Colleagues

All 5 studies associating relationship with colleagues with satisfaction found the perception of collegial support/emnteraction to exert a moderate independent effect on satisfaction.5, 20, 89, 104, 112

Part‐time Work Status

Of the 3 studies that evaluated this factor in multivariate analysis, 2 did not find a significant association,71, 110 and 1 reported higher satisfaction with full time work (but did not report statistical values).9 Given the number of U.S. physicians working part time, this warrants further research.

Practice Characteristics (Size/Setting/Site/Ownership)

The interpretation of practice characteristics and satisfaction is limited by the heterogeneity in the way the studies partitioned the practice characteristics, and the reference group composition. Of the 10 studies that evaluated several types of practice settings, 5 found solo or small (1‐2 person) practice sizes more likely associated with dissatisfaction than larger practice sizes.88, 97, 104106 The PWS and CTS obstetrician‐gynecologist (ob‐gyn) subset also found health maintenance organization (HMO) satisfaction to be lower compared to various comparisons11, 71 (although the PWS GIM subset did not find a difference).23 Of the 6 surveys evaluating academic/medical school as the reference group, 4 found higher satisfaction with academics (including 2 from the CTS),9, 71, 104, 110 but 2 smaller studies did not find a difference with university affiliation or teaching.88, 96 Of those studies evaluating single vs. multispecialty groups, only 1 found single‐specialty with higher satisfaction than multispecialty89 and 3 others did not find a difference.56, 68, 73

Regarding practice size, 3 of the 4 found no association with satisfaction.56, 109, 110, 112 Only the CTS evaluated practice region and community size and found rural physicians, those in small metropolitan areas, and those in New England and West North central regions had higher satisfaction.45, 71, 74 The CTS also supports that physicians that are part‐owners or nonowners of their practice have higher satisfaction than full owners.45, 74

In summary, practice characteristics may influence physician satisfaction. Physicians in solo and HMO practices may be less satisfied than physicians in other practice settings and sizes, and academic affiliation may have a small but significant association with satisfaction. Practice size and single vs. multispecialty does not appear to significantly affect satisfaction, and satisfaction association with practice region, community size, and ownership is drawn primarily from the CTS and requires further study.

Patient‐payer Mix and Insurance Status

Capitation and provider‐managed care training does appear to affect satisfaction, but managed care or patient insurance status does not. Of the 9 studies that addressed the influence of managed care or capitation on satisfaction, the percentage of managed care practice revenue, number of managed care contracts, or percentage of managed care patients in a practice had no association with satisfaction.2, 71, 73, 74, 104, 105, 109, 112 Two studies did find that capitation was associated with provider dissatisfaction.2, 68 One CTS study found career satisfaction increased in states after the implementation of patient protection acts (implying physician satisfaction increased with less managed care control and more patient/provider empowerment).102 Two other studies found that physicians with training in managed care and positive attitudes about managed care were more likely to be satisfied.98, 112

Regarding insurance status, 3 studies of PCPs in different states did not find an association between satisfaction and insurance (private, none, Medicare, or Medicaid),35, 68, 89 although a study of rural PCPs found more dissatisfaction in those who reported a recent decrease in the number of patients with adequate insurance.84

In summary, there is unlikely an independent effect of patient‐payer mix or managed care on satisfaction. However, capitation may exert a negative effect, and managed care training (and attitude) may exert a positive effect.

Patient Characteristics

Most patient factors were not found to be independently associated with physician satisfaction, including patient complexity,23, 112 patient demands,5, 20 or specific patient demographics.56 The PWS and CTS studies found physicians who value and are able to maintain long‐term patient relationships were more satisfied.45, 104, 112 One study found that those who perceive patients lack confidence in physicians were more likely to be dissatisfied.109 In summary, patient characteristics do not appear to influence provider satisfaction, but a provider's value of, and ability to maintain, long‐term relationships, as well as their perception of patient trust, may influence satisfaction.

Income

Of the 14 studies that evaluated income, 11 found a positive association (the CTS, RWJ, and others) with actual income1, 2, 45, 74, 84, 88, 93, 104 and income satisfaction.97, 98, 109 Of the 3 that did not find an association with actual income, 2 were from the PWS,23, 112 and 1 from the CTS ob‐gyn subset.71

In summary, the association between actual income and satisfaction may be confounded by other variables (such as work hours and part‐time status), but satisfaction with income does appear to correlate with overall satisfaction.

Incentives

There does appear to be a moderate satisfaction association with the types of income incentives. The CTS studies found more satisfied physicians were those with the ability to make clinical decisions without affecting one's income (although that was not found for the PCP subset).45, 104, 106 Other studies found more satisfaction in those reporting a practice with incentives/emphasis based on quality, and less satisfaction in those with incentives/emphasis based on productivity or service reduction.1, 57, 112 Therefore, the evidence favors higher satisfaction with incentives based on quality rather than productivity or utilization.

Other Physician Factors

Board certification may be modestly positively associated with satisfaction, and being a foreign medical graduate may be modestly negatively associated with satisfaction, although this is limited to few studies.9, 45, 74, 98, 104, 106 Other physician characteristics, such as personal matters (marital status, home stress, mental health, personal satisfaction), work matters (amount of charity care they provide and history of work harassment), and personality (reform mindedness and tolerance for uncertainty) require further research.50, 56, 88, 98, 104

Discussion

Our review of satisfaction trends for U.S. physicians revealed relative stability except for a slight decline among PCPs. We found factors significantly associated with satisfaction to include both physician (age and specialty) and job factors (work demand, work control, colleague support, ability to maintain patient relationships, practice setting, income satisfaction, and incentive types). Based on limited data, the association with race/ethnicity and part‐time work requires more research, and factors that do not appear to have an independent effect on satisfaction include physician gender, patient‐payer mix, and patient characteristics.

As the fastest growing specialty in the history of American medicine, hospital medicine should focus on career satisfaction as a top priority in shaping the future of the more than 20,000 hospitalists now practicing. Although the term hospitalist was coined less than 15 years ago114 the demand for hospitalists is expected to grow to as many as 50,000 by 2020.115 In this time of rapid growth, in order to mold a sustainable specialty, we must all recognize the factors that contribute to satisfaction and strive to maintain good job‐person fit. For individual hospitalists, all of these mediators of satisfaction should be considered when contemplating employment. To ensure a mutual fit, each physician must reflect on how their goals and values coincide with those of the program they are considering. For hospital medicine program leaders, areas of program‐specific dissatisfaction must be continually sought and addressed.

In this review, the variables with the strongest associations with satisfaction that are most pertinent to hospitalists are work demand, control, income/emncentives, and collegial relationships. These variables coincide with the 4 pillars of career satisfaction identified in the Society of Hospital Medicine Career Satisfaction Task Force.116 Perceived work stress/pressure and objective workload can easily (and serially) be measured, and the latter can be compared to national benchmarks to ensure appropriate workload expectations.116 Reducing work pressure/stress may involve assessing and matching variations in workload with manpower, reducing nonclinical tasks by utilizing administrative assistants or physician extenders, or having an emergency plan for unexpected absences. Autonomy and control can be assessed by the job‐fit questionnaire to identify programwide and physician‐specific areas of potential discontent.116 Increasing autonomy/control may involve pursuing leadership within hospital projects or committees, creatively scheduling flexibility, and seeking support from hospital administration. Income expectations should also be couched within national benchmarks, and incentive programs should reflect work quality rather than quantity. Collegial support can be enhanced by instituting a mentoring program, journal club, regular social function, or configuration of offices spaces to allow proximity. Although the conclusions of this review are limited by the lack of hospitalists included in the studies and our inability to perform a meta‐analysis, we believe extrapolation of this information to hospitalist physicians is valid and appropriate. That said, future studies specifically addressing hospitalist satisfaction are needed to ensure this.

Conclusions

In summary, physician satisfaction is not a static parameter, but a dynamic entity mediated by both physician‐related and job‐related factors, the majority of which are modifiable. Thus hospitalists and hospital medicine program leaders can be optimistic that uncovering the presence of dissatisfaction through surveys, and addressing the issues triggering it, should enhance physician satisfaction. With improved awareness of mitigating factors of dissatisfaction and commitments to improvement, there is reason for hope. It is unreasonable to believe that dissatisfaction is intrinsic to any medical profession. It is reasonable to believe that physician satisfaction, with all of its desirable implications, can be attained through continual research and prioritization.

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Understanding communication during hospitalist service changes: A mixed methods study

A growing number of reports indicate that communication failures among physicians at transitions of care are critical to patient safety.16 The practice of physician handoffs at shift and service changes are variable, with no standardized protocol shown to be effective at ensuring complete transmission of information.7 In 2006, the Joint Commission set a National Patient Safety Goal to implement a standardized approach to hand off communications.8 Hospitalists stand to be impacted by this decision due to the frequency of care transitions that are inherent in hospital practice. The Society of Hospital Medicine (SHM) recognizes safe transitions of care as a core competency of hospitalists and is actively exploring standardization of the process.9 While recent attention has focused on improved communication during shift changes, little data exists to guide handoffs among hospitalists at service changes.

Good service change communication is an essential skill of hospital medicine because frequent service handoffs are often unavoidable in hospitalist practices that seek to balance the demand for around‐the‐clock coverage for inpatients and the need to create sustainable schedules to avoid physician burnout.10 But the tradeoff between fewer hours worked and discontinuity of care is well recognized.7 Increasingly fragmented care without corresponding improvements in handoff communication may exacerbate the problem. This study aims to characterize communication practices among hospitalists during service changes and to describe adverse and near miss events that may occur as a result of poor handoffs during these vulnerable care transitions.

Methods

Setting

This study was conducted with Institutional Review Board (IRB) exemption at a single, academic tertiary care institution. The Section of Hospital Medicine at the University of Chicago is comprised of 17 physicians and 5 mid‐level practitioners (Nurse Practitioner and Physician Assistant), and staffs a nonteaching multispecialty service of patients with solid‐organ transplants (excluding heart) or preexisting oncological diagnoses. While hospitalists are the attendings of record, the care of these complex patients often requires the input of subspecialty consultants.

The nonteaching hospitalist service consists of 2 teams, each staffed by 1 hospitalist, and 1 or 2 mid‐level practitioners supporting the hospitalist on weekdays. Hospitalists rotate on the service for 1 or 2 weeks at a time. Mid‐level practitioners work a nonuniform 3 to 4 days per week. The patient census ranges from 2 to 12 patients per team while 3 to 6 new admissions are received every other day. A dedicated nocturnist or moonlighter manages existing patients and new admissions overnight.

At the time of service change, either the incoming or the outgoing physician initiates the communication by pager, telephone, e‐mail, or by face‐to‐face solicitation. A computerized census form on a Microsoft Word template with each patient's identifying information and a summary of the hospital course is updated by the outgoing hospitalist and is accessible to the incoming hospitalist. Mid‐level practitioners, typically, do not participate in service change handoffs because they are not always on duty at the time of service change. Other than through the universal use of the computerized census form, there was no standardized protocol or education on how to perform service changes.

Data Collection

All 17 hospitalists rotating through the nonteaching inpatient service at the University of Chicago Medical Center (UCMC) were recruited to participate. Between May and December 2007, one of the investigators (K.H.) hand‐delivered surveys to the study subjects who usually completed the survey immediately. Those who could not complete the survey on the spot were approached by the investigator a second time a few hours later. The participants were hospitalists who started their duty on the nonteaching service 48 hours earlier. A total of 60 service changes during the study period were the units of analysis in this study.

Eighteen items of the anonymous, paper‐based, self‐administered survey (see Appendix 1) were created to evaluate the characteristics of service change communications found to be salient in previous studies.11, 12 Hospitalists were asked to estimate the time they spent on the handoff communication, and the time they spent dealing with issues that arose as a result of missing information. Responses included <5 minutes, 6‐15 minutes, 16‐30 minutes, 31‐60 minutes, and >60 minutes.

Completeness of the handoff communication and the respondents' certainty about the care‐plans for the patients on the first day of service were rated using 6‐point Likert‐type scales. For example, the possible responses to an item asking respondents to rate the completeness of information in the handoff communication were grossly incomplete, incomplete, somewhat incomplete, somewhat complete, complete, and excessively complete. Respondents were asked to recall how often they encountered consequences of incomplete handoffs such as instances, within the first 48 hours of service, when they required information that should have been discussed at handoff but was not. Another consequence of incomplete handoffs that the survey asked hospitalists to recall was the frequency of near‐miss and adverse events.

Narrative details about missing information from the service change and near misses and adverse events attributable to poor handoffs were solicited using the critical incident technique. This technique is used to elicit open‐ended constructed descriptions of infrequently occurring events through personal observations and experience.13 Respondents were also asked about the frequency and content of any discussions they had with the outgoing hospitalist after the original handoff communication. Finally, suggestions for improving service change handoffs were solicited from each respondent.

Data Analysis

The results of the Likert responses were dichotomized such that incomplete handoffs were defined as response of grossly incomplete, incomplete, or somewhat incomplete. Complete handoffs were defined as response of somewhat complete, complete, or excessively complete. Similarly, certainty about the plan for each patient on the first day of rotation was dichotomized with uncertain defined as response of uncertain, mostly uncertain, or somewhat uncertain, while certain was defined as a response of somewhat certain, mostly certain, or certain. Associations among service change characteristics were compared using chi‐square tests of the dichotomized Likert‐type data.

Narrative responses were analyzed by 3 of the authors (J.F., K.H., V.A.) using the constant comparative method.14 Major categories were created without a priori hypotheses. These categories were compared across surveys to yield integration or refinement into further subcategories. Disagreements were resolved by discussion until 100% agreement was reached.

Results

Service Change Communication

Fifty‐six of 60 (93%) surveys evaluating service changes were completed and returned. All (17) eligible hospitalists participated. All but 1 completed survey indicated that some form of handoff communication took place between the incoming and the outgoing hospitalists. The median time category spent on service change communications was 6 to 15 minutes. Forty‐eight of 55 (87%) respondents who participated in handoff communication reported communicating on the day prior to the transition day, while the remainder communicated 2 or 3 days prior to, or on the transition day. Most communicated verbally, either by telephone (75%) or face to face (16%); 10% of respondents who did not speak with the outgoing physician received e‐mail as the main method of communication. The distribution of time spent on the service change communication is summarized in Figure 1A.

Figure 1
Distribution of: (A) time spent on service change communication and (B) time spent dealing with issues arising from missed information per patient.

Completeness of Service Changes

Thirteen percent (7/56) of service change communication was described as incomplete. These were associated with consequences of incomplete service changes (see Table 1). Specifically, handoffs characterized as incomplete were more likely to have hospitalists report uncertainty regarding the plan of care (71% incomplete vs. 10% complete, P < 0.01), discover missing information (71% incomplete vs. 24% complete, P = 0.01), and report near‐misses/adverse events (57% incomplete vs. 10% complete, P < 0.01). Completeness was not associated with time spent on the communication (P = 0.77) or with having engaged in verbal communication (88% complete vs. 100% incomplete, P = 0.33). Incomplete handoff communications were also associated with hospitalists spending more than the median time dealing with issues arising from missing or lost information (71% incomplete vs. 22% complete, P < 0.01). The distribution of time spent retrieving missing patient information and resolving issues that arose from it is shown in Figure 1B. The median time category was 6 to 15 minutes per patient.

Associations Between Completeness of Handoff Communication and Consequences of Incomplete Service Changes
 Incomplete (n = 7) %Complete (n = 49) %P Value
Uncertainty about the patient care plan (n = 10)7110<0.01
Discovery of missed information that should have been discussed (n = 17)71240.01
Report of adverse and near miss events (n = 9)5710<0.01
More than 15 minutes spent dealing with issues arising from missed information (n = 16)7122<0.01

The recovery of missing information involved hospitalists utilizing various sources of information summarized in Table 2. Electronic medical records were used most commonly (86%), followed by the patient chart (82%). 38% of respondents also reported soliciting the outgoing physician to recover information that was missed in the service change. Only 40% reported that patients were aware of the service change and 15% reported that patients' family were aware of the service change. Sixty‐one percent of respondents believe that a more detailed communication at service change can help avoid uncertainty, delays, and adverse events.

Sources Used by Hospitalists to Recover Information Missing from Original Handoff Communication
Sourcesn (%)
  • NOTE: Total number of handoffs, n = 56.

Electronic medical records48 (86)
Patient chart46 (82)
Consulting physicians39 (70)
Patients' family33 (59)
Patients32 (57)
Outgoing physician (repeat communications)21 (38)

Qualitative Data

Qualitative analyses of omitted information at service change yielded the following major categories: (1) factual patient information; (2) information pertaining to future plan of care; and (3) disagreements about past management (Table 3A). Among the subthemes of the first major category, recommendations by consultants were pointed out as a specific area requiring targeted discussions during the handoff process.

Results of Qualitative Analysis
Major CategorySubthemeRepresentative Comment
  • Abbreviations: DKA, diabetic ketoacidosis; MD, medical doctor.

A. Information not discussed at service change that should have been discussed  
Factual patient informationFrom initial workup[Was] the preceding MD unaware that the patient had colonic ischemia?
 Complications during the present hospital courseWould have liked to hear the highlights of previous workup for hyponatremia
 Patient familyWould have liked to know how much family members were involved
 Consultant recommendationConsultant recommendations were only partially done and not very well communicated
Future plan of carePlans to advance hospital coursePlan for dialysis when an existing access catheter was to be removedno explanation of plan
 Disposition planningReasons why home regimen of diuretics were being held and plans to resume or keep holding at discharge
Disagreement about managementDiagnosticsAppropriate surveillance labs not ordered in 12 hours for a patient admitted with a wide anion gap from DKA
 TherapeuticsNo blood transfusion in a patient needing one
B. Adverse and near‐miss events attributable to missed information  
Poor quality of careUncoordinated careCoagulation issue not addressed prior to scheduled procedure leading to delay
 Deviations from standard carePatient almost did not receive nephroprotective regimen prior to an angiogram
Stakeholder dissatisfiedPatient dissatisfiedPatient was not placed mainly because of poor communication
 Consultant dissatisfiedConsultants were unhappy that their [recommendations] were not followed
C. Topics covered in posthandoff communications between physicians  
Clarification of missing informationMedical historyQuestion regarding patient's baseline mental status
 Disposition planningQuestion about discharge planning and communication with family
 Consultant recommendationsClarification of consult recommendations
Evaluative discussionReview of medical managementDiscussion about antibiotic choice started over the weekend
 UpdatesPreceding physician came and asked me how the patients were doing
D. Suggestions for improving handoff communication  
Techniques to improve the quality of verbal communicationTension between too much and too littleMaybe it's purely a style issue, but I tend to give a lengthy signout, maybe too detailed but for detail‐oriented person like me a very cursory signout leaves too much uncertainty
 FocusedThe exchange of information should befocused on what are the major vs. minor issues
 SystematicSignout should be more systematictime spent signing out is useless if filled with useless rambling
Techniques to ensure the accurate transmission of informationRead‐backRead‐back ensures details are correct
 Transition periodHaving the previous hospitalist available to answer questions is enough
Suggested content improvementsCommunicate future plan of careShould focus on the future plan of care and not only on medical problems so that the in‐coming person will have a better idea of what to do on his first day
 Transmit consultant recommendationsKnowing consult recommendations for patients and plans for procedures
Involving other stakeholdersInform patients of service changePreceding MD explained change to all patients and they appreciated it
 Involve mid‐level practitioners in the communicationBetter mid‐level to physician communication would help

When asked to describe the nature of near‐miss and adverse events, 2 major categories emerged: (1) poor quality of care; and (2) stakeholder dissatisfaction (Table 3B). Respondents of this study only reported near‐miss events, but included several events that could have resulted in significant patient harm. One respondent wrote, [the] patient almost did not receive nephroprotective regimen prior toangio[gram]. On a service with complicated patients requiring the involvement of multiple subspecialists, the need for coordination through better communication was frequently mentioned.

As previously described, incoming hospitalists who discovered missing information often engaged in discussions with the outgoing hospitalist after the original service change handoff. These repeat communications served to clarify missing information as well as to allow opportunities to review and update information as summarized in Table 3C.

Suggestions for Improving Service Changes

Suggestions for improving service handoff communication yielded four major categories: (1) improve the quality of information relayed; (2) utilization of communication techniques to ensure accurate transmission of data; (3) improve the communication content; and (4) involve other stakeholders (see Table 3D).

The comments around quality of communication highlighted the tension between too much and too little information that may be resolved by organizing the content of the handoff communication without dedicating more time to the process. While some respondents felt that a detailed signout is always helpful, others stressed the need to avoid useless rambling. One respondent, who preferred a minimalist approach, felt that a comprehensive patient summary was difficult to retain and that having the outgoing physician available to answer questions early in the rotation was an effective alternative to a single episodic handoff. Another recommendation included the use of the read‐back technique to ensure accurate transmission of important information.

Discussion

To our knowledge, this is the first study of service changes among hospitalists. The results suggest that hospitalists in an academic medical center face obstacles to effective communication during service changes. A significant number of handoffs were described by hospitalists as incomplete and that missing information were associated with negative outcomes at the patient level. Reports of incomplete handoffs were associated with uncertainty by incoming physicians about the plan of care for patients and with the need to spend more time dealing with issues arising from this uncertainty. Although most of the effects on patients were near‐misses and not adverse events, the details elicited in this study reveal the threats to patient safety that arise from ineffective communication.

Interestingly, verbal communication was not associated with better transmission of information in this study. One reason for this may be the almost universal use of verbal communication in the service change handoffs among hospitalists at the UCMC. The value of verbal communication is supported by other studies that suggest the benefits of verbal exchanges combined with typed information sheets.15

In our study, hospitalists spent a significant amount of time resolving issues that arose from incomplete communication at service change. The need to retrieve missing information from charts and electronic medical records is to be expected, even if the handoffs were complete, but the use of patients and their family as redundant sources of information may lead to delay and stakeholder dissatisfaction. Likewise, consulting physicians were sometimes frustrated by not having their recommendations passed on during hospitalist service changes and of being asked to repeat their recommendations to each new incoming hospitalist. Moreover, many patients and consulting physicians were not informed about upcoming service changes by hospitalists. Informing stakeholders of staffing changes may be an important component of handoffs that requires attention.4, 16

The frequent communication between the outgoing and incoming hospitalists, even after their original handoff communication, points to the possible benefit of an overlap period during which outgoing physicians remain available to fill gaps in information. The willingness of outgoing hospitalists in this study to initiate this interaction reveals an opportunity for an intervention and is contrary to existing concerns that hospitalists, as opposed to primary care physicians, absolve themselves of patient responsibilities when their shift is completed.17, 18

Ensuring that handoff communication is concise and systematic is essential to improving the quality of care provided by hospitalists. An all‐inclusive transmission of unprocessed information, no matter how detailed, does not improve completeness of communication. Instead, we find that the complete transmission of patient information consists of both the discussion of the salient factual information about the case and the outgoing physician's assessment and future plan. A new strategy to improve completeness of service change communication may involve the use of a checklist to ensure a comprehensive review of critical details, as well as the use of narratives to tie together a coherent plan.

Alternative cutpoints for the dichotomized Likert categories for uncertainty about the plan and completeness of the handoff were explored. For example, it is also reasonable to interpret the response somewhat certain, referring to the plan of care on the transition day, as belonging to the dichotomized category uncertain as opposed to certain. A broader definition of uncertain increased the number of responses in that category but the variable's associations with other item responses were not significantly different from the results presented. We chose the symmetrical dichotomization cutpoint to ensure similar number of answers in each category.

There are several limitations with this study. First, the study was limited to self‐reported data without confirmation by direct observation. Additionally, responses to survey questions that ask participants to recollect details of a past handoff communication are subject to recall bias. We tried to minimize this bias effect by adhering to a schedule that surveyed hospitalists almost exactly at 48 hours into their rotation. However, there may still be hindsight bias about the respondents' perceived completeness of the handoffs based on the events of those 48 hours.19 In addition, a service of difficult patients requiring more of the hospitalist's time could influence his or her perception of a poor handoff through reverse causation. The study is not immune to a Hawthorne effect during the 8 months study period.20 This was a single‐center study examining 1 clinical service. The small sample size limits the depth of our analysis, but this is the first work to describe this phenomenon and although the data is not definitive, it may stimulate further work in the area. Although our study focused on completeness as the sole measure of handoff adequacy, additional measures may be explored in future studies. Finally, our findings may not be generalizable because of the unique features of the UCMC's hospitalist program, such as the specialized patient population. An examination of other practice settings is indicated for future studies.

Significant variability exists in the methods used to conduct service changes. Although a previous qualitative study of handoffs at our institution yielded a theme of poor communication around specific individuals,21 consistently poor communicators did not emerge as a theme in this qualitative analysis. We believe that episodes of incomplete communication are not always attributable to individual deficits and suggest that solutions to the communication problem exist at the systems level. The development and implementation of future interventions to improve hospitalist service changes may incorporate some of the elements suggested here.

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References
  1. Kohn LT,Corrigan JM,Donaldson MS.To Err is Human: Building a Safer Health System.Washington, DC:National Academies Press;2000.
  2. Arora V,Farnan JM.Care transitions for hospitalized patients.Med Clin N Am.2008;92:315324.
  3. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14:401407.
  4. Apker J,Mallak LA,Gibson SC.Communicating in the “gray zone”: perceptions about emergency physician‐hospitalist handoffs and patient safety.Acad Emerg Med.2007;14:884894.
  5. Borowitz SM,Waggoner‐Fountain LA,Bass EJ,Sledd RM.Adequacy of information transferred at resident sign‐out (inhospital handover of care): a prospective survey.Qual Saf Health Care.2008;17:610.
  6. Solet DJ,Norvell JM,Rutan GH,Frankel RM.Lost in translation: challenges and opportunities in physician‐to‐physician communication during patient handoffs.Acad Med.2005;80:10941099.
  7. Vidyarthi AR,Arora V,Schnipper JL,Wall SD,Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1(4):257266.
  8. National Patient Safety Goals. Available at: http://www.jcaho.com. Accessed May2009.
  9. Dressler DD,Pistoria MJ,Budnitz TL,McKean SC,Amin AN.Core competencies in hospital medicine: development and methodology.J Hosp Med.2006;1(1):4856.
  10. Arora V,Fang MC,Kripalani S,Amin AN.Preparing for “diastole”: advanced training opportunities for academic hospitalists.J Hosp Med.2006;1(6):368377.
  11. Farnan JM,Johnson JK,Meltzer DO,Humphrey HJ,Arora VM.Resident uncertainty in clinical decision making and impact on patient care: a qualitative study.Qual Saf Health Care.2008;17:122126.
  12. Horwitz LI,Krumholz HM,Green ML,Huot SJ.Transfers of patient care between house staff on internal medicine wards: a national survey.Arch Intern Med.2006;166(11):11731177.
  13. Flanagan JC.The critical incident technique.Psychol Bull.1954;51:327358.
  14. Strauss A,Corbin J.Basics of Qualitative Research.2nd ed.Thousand Oaks, CA:Sage Publications;1998.
  15. Pothier D,Monteiro P,Mooktiar M,Shaw A.Pilot study to show the loss of important data in nursing handover.Br J Nurs.2005;14(20):10901093.
  16. Fletcher KE,Wiest FC,Halasyamani L, et al.How do hospitalized patients feel about resident work hours, fatigue, and discontinuity of care.J Gen Intern Med.2008;23(5):623628.
  17. Pantilat SZ,Alpers A,Wachter RM.A new doctor in the house: ethical issues in hospitalist systems.JAMA.2000;283(3):336337.
  18. Arora VM,Johnson JK,Meltzer DO,Humphrey HJ.A theoretical framework and competency‐based approach to improving handoffs.Qual Saf Health Care.2008;17(1):1114.
  19. Henriksen K,Kaplan H.Hindsight bias, outcome knowledge and adaptive learning.Qual Saf Health Care.2003;12(suppl 2):ii46ii50.
  20. Mayo E. Hawthorne and the Western Electric Company.The Social Problems of an Industrial Civilisation.London, UK:Routledge;1949.
  21. Arora V,Johnson J.A model for building a standardized hand‐off protocol.Jt Comm J Qual Patient Saf.2006;32(11):646655.
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A growing number of reports indicate that communication failures among physicians at transitions of care are critical to patient safety.16 The practice of physician handoffs at shift and service changes are variable, with no standardized protocol shown to be effective at ensuring complete transmission of information.7 In 2006, the Joint Commission set a National Patient Safety Goal to implement a standardized approach to hand off communications.8 Hospitalists stand to be impacted by this decision due to the frequency of care transitions that are inherent in hospital practice. The Society of Hospital Medicine (SHM) recognizes safe transitions of care as a core competency of hospitalists and is actively exploring standardization of the process.9 While recent attention has focused on improved communication during shift changes, little data exists to guide handoffs among hospitalists at service changes.

Good service change communication is an essential skill of hospital medicine because frequent service handoffs are often unavoidable in hospitalist practices that seek to balance the demand for around‐the‐clock coverage for inpatients and the need to create sustainable schedules to avoid physician burnout.10 But the tradeoff between fewer hours worked and discontinuity of care is well recognized.7 Increasingly fragmented care without corresponding improvements in handoff communication may exacerbate the problem. This study aims to characterize communication practices among hospitalists during service changes and to describe adverse and near miss events that may occur as a result of poor handoffs during these vulnerable care transitions.

Methods

Setting

This study was conducted with Institutional Review Board (IRB) exemption at a single, academic tertiary care institution. The Section of Hospital Medicine at the University of Chicago is comprised of 17 physicians and 5 mid‐level practitioners (Nurse Practitioner and Physician Assistant), and staffs a nonteaching multispecialty service of patients with solid‐organ transplants (excluding heart) or preexisting oncological diagnoses. While hospitalists are the attendings of record, the care of these complex patients often requires the input of subspecialty consultants.

The nonteaching hospitalist service consists of 2 teams, each staffed by 1 hospitalist, and 1 or 2 mid‐level practitioners supporting the hospitalist on weekdays. Hospitalists rotate on the service for 1 or 2 weeks at a time. Mid‐level practitioners work a nonuniform 3 to 4 days per week. The patient census ranges from 2 to 12 patients per team while 3 to 6 new admissions are received every other day. A dedicated nocturnist or moonlighter manages existing patients and new admissions overnight.

At the time of service change, either the incoming or the outgoing physician initiates the communication by pager, telephone, e‐mail, or by face‐to‐face solicitation. A computerized census form on a Microsoft Word template with each patient's identifying information and a summary of the hospital course is updated by the outgoing hospitalist and is accessible to the incoming hospitalist. Mid‐level practitioners, typically, do not participate in service change handoffs because they are not always on duty at the time of service change. Other than through the universal use of the computerized census form, there was no standardized protocol or education on how to perform service changes.

Data Collection

All 17 hospitalists rotating through the nonteaching inpatient service at the University of Chicago Medical Center (UCMC) were recruited to participate. Between May and December 2007, one of the investigators (K.H.) hand‐delivered surveys to the study subjects who usually completed the survey immediately. Those who could not complete the survey on the spot were approached by the investigator a second time a few hours later. The participants were hospitalists who started their duty on the nonteaching service 48 hours earlier. A total of 60 service changes during the study period were the units of analysis in this study.

Eighteen items of the anonymous, paper‐based, self‐administered survey (see Appendix 1) were created to evaluate the characteristics of service change communications found to be salient in previous studies.11, 12 Hospitalists were asked to estimate the time they spent on the handoff communication, and the time they spent dealing with issues that arose as a result of missing information. Responses included <5 minutes, 6‐15 minutes, 16‐30 minutes, 31‐60 minutes, and >60 minutes.

Completeness of the handoff communication and the respondents' certainty about the care‐plans for the patients on the first day of service were rated using 6‐point Likert‐type scales. For example, the possible responses to an item asking respondents to rate the completeness of information in the handoff communication were grossly incomplete, incomplete, somewhat incomplete, somewhat complete, complete, and excessively complete. Respondents were asked to recall how often they encountered consequences of incomplete handoffs such as instances, within the first 48 hours of service, when they required information that should have been discussed at handoff but was not. Another consequence of incomplete handoffs that the survey asked hospitalists to recall was the frequency of near‐miss and adverse events.

Narrative details about missing information from the service change and near misses and adverse events attributable to poor handoffs were solicited using the critical incident technique. This technique is used to elicit open‐ended constructed descriptions of infrequently occurring events through personal observations and experience.13 Respondents were also asked about the frequency and content of any discussions they had with the outgoing hospitalist after the original handoff communication. Finally, suggestions for improving service change handoffs were solicited from each respondent.

Data Analysis

The results of the Likert responses were dichotomized such that incomplete handoffs were defined as response of grossly incomplete, incomplete, or somewhat incomplete. Complete handoffs were defined as response of somewhat complete, complete, or excessively complete. Similarly, certainty about the plan for each patient on the first day of rotation was dichotomized with uncertain defined as response of uncertain, mostly uncertain, or somewhat uncertain, while certain was defined as a response of somewhat certain, mostly certain, or certain. Associations among service change characteristics were compared using chi‐square tests of the dichotomized Likert‐type data.

Narrative responses were analyzed by 3 of the authors (J.F., K.H., V.A.) using the constant comparative method.14 Major categories were created without a priori hypotheses. These categories were compared across surveys to yield integration or refinement into further subcategories. Disagreements were resolved by discussion until 100% agreement was reached.

Results

Service Change Communication

Fifty‐six of 60 (93%) surveys evaluating service changes were completed and returned. All (17) eligible hospitalists participated. All but 1 completed survey indicated that some form of handoff communication took place between the incoming and the outgoing hospitalists. The median time category spent on service change communications was 6 to 15 minutes. Forty‐eight of 55 (87%) respondents who participated in handoff communication reported communicating on the day prior to the transition day, while the remainder communicated 2 or 3 days prior to, or on the transition day. Most communicated verbally, either by telephone (75%) or face to face (16%); 10% of respondents who did not speak with the outgoing physician received e‐mail as the main method of communication. The distribution of time spent on the service change communication is summarized in Figure 1A.

Figure 1
Distribution of: (A) time spent on service change communication and (B) time spent dealing with issues arising from missed information per patient.

Completeness of Service Changes

Thirteen percent (7/56) of service change communication was described as incomplete. These were associated with consequences of incomplete service changes (see Table 1). Specifically, handoffs characterized as incomplete were more likely to have hospitalists report uncertainty regarding the plan of care (71% incomplete vs. 10% complete, P < 0.01), discover missing information (71% incomplete vs. 24% complete, P = 0.01), and report near‐misses/adverse events (57% incomplete vs. 10% complete, P < 0.01). Completeness was not associated with time spent on the communication (P = 0.77) or with having engaged in verbal communication (88% complete vs. 100% incomplete, P = 0.33). Incomplete handoff communications were also associated with hospitalists spending more than the median time dealing with issues arising from missing or lost information (71% incomplete vs. 22% complete, P < 0.01). The distribution of time spent retrieving missing patient information and resolving issues that arose from it is shown in Figure 1B. The median time category was 6 to 15 minutes per patient.

Associations Between Completeness of Handoff Communication and Consequences of Incomplete Service Changes
 Incomplete (n = 7) %Complete (n = 49) %P Value
Uncertainty about the patient care plan (n = 10)7110<0.01
Discovery of missed information that should have been discussed (n = 17)71240.01
Report of adverse and near miss events (n = 9)5710<0.01
More than 15 minutes spent dealing with issues arising from missed information (n = 16)7122<0.01

The recovery of missing information involved hospitalists utilizing various sources of information summarized in Table 2. Electronic medical records were used most commonly (86%), followed by the patient chart (82%). 38% of respondents also reported soliciting the outgoing physician to recover information that was missed in the service change. Only 40% reported that patients were aware of the service change and 15% reported that patients' family were aware of the service change. Sixty‐one percent of respondents believe that a more detailed communication at service change can help avoid uncertainty, delays, and adverse events.

Sources Used by Hospitalists to Recover Information Missing from Original Handoff Communication
Sourcesn (%)
  • NOTE: Total number of handoffs, n = 56.

Electronic medical records48 (86)
Patient chart46 (82)
Consulting physicians39 (70)
Patients' family33 (59)
Patients32 (57)
Outgoing physician (repeat communications)21 (38)

Qualitative Data

Qualitative analyses of omitted information at service change yielded the following major categories: (1) factual patient information; (2) information pertaining to future plan of care; and (3) disagreements about past management (Table 3A). Among the subthemes of the first major category, recommendations by consultants were pointed out as a specific area requiring targeted discussions during the handoff process.

Results of Qualitative Analysis
Major CategorySubthemeRepresentative Comment
  • Abbreviations: DKA, diabetic ketoacidosis; MD, medical doctor.

A. Information not discussed at service change that should have been discussed  
Factual patient informationFrom initial workup[Was] the preceding MD unaware that the patient had colonic ischemia?
 Complications during the present hospital courseWould have liked to hear the highlights of previous workup for hyponatremia
 Patient familyWould have liked to know how much family members were involved
 Consultant recommendationConsultant recommendations were only partially done and not very well communicated
Future plan of carePlans to advance hospital coursePlan for dialysis when an existing access catheter was to be removedno explanation of plan
 Disposition planningReasons why home regimen of diuretics were being held and plans to resume or keep holding at discharge
Disagreement about managementDiagnosticsAppropriate surveillance labs not ordered in 12 hours for a patient admitted with a wide anion gap from DKA
 TherapeuticsNo blood transfusion in a patient needing one
B. Adverse and near‐miss events attributable to missed information  
Poor quality of careUncoordinated careCoagulation issue not addressed prior to scheduled procedure leading to delay
 Deviations from standard carePatient almost did not receive nephroprotective regimen prior to an angiogram
Stakeholder dissatisfiedPatient dissatisfiedPatient was not placed mainly because of poor communication
 Consultant dissatisfiedConsultants were unhappy that their [recommendations] were not followed
C. Topics covered in posthandoff communications between physicians  
Clarification of missing informationMedical historyQuestion regarding patient's baseline mental status
 Disposition planningQuestion about discharge planning and communication with family
 Consultant recommendationsClarification of consult recommendations
Evaluative discussionReview of medical managementDiscussion about antibiotic choice started over the weekend
 UpdatesPreceding physician came and asked me how the patients were doing
D. Suggestions for improving handoff communication  
Techniques to improve the quality of verbal communicationTension between too much and too littleMaybe it's purely a style issue, but I tend to give a lengthy signout, maybe too detailed but for detail‐oriented person like me a very cursory signout leaves too much uncertainty
 FocusedThe exchange of information should befocused on what are the major vs. minor issues
 SystematicSignout should be more systematictime spent signing out is useless if filled with useless rambling
Techniques to ensure the accurate transmission of informationRead‐backRead‐back ensures details are correct
 Transition periodHaving the previous hospitalist available to answer questions is enough
Suggested content improvementsCommunicate future plan of careShould focus on the future plan of care and not only on medical problems so that the in‐coming person will have a better idea of what to do on his first day
 Transmit consultant recommendationsKnowing consult recommendations for patients and plans for procedures
Involving other stakeholdersInform patients of service changePreceding MD explained change to all patients and they appreciated it
 Involve mid‐level practitioners in the communicationBetter mid‐level to physician communication would help

When asked to describe the nature of near‐miss and adverse events, 2 major categories emerged: (1) poor quality of care; and (2) stakeholder dissatisfaction (Table 3B). Respondents of this study only reported near‐miss events, but included several events that could have resulted in significant patient harm. One respondent wrote, [the] patient almost did not receive nephroprotective regimen prior toangio[gram]. On a service with complicated patients requiring the involvement of multiple subspecialists, the need for coordination through better communication was frequently mentioned.

As previously described, incoming hospitalists who discovered missing information often engaged in discussions with the outgoing hospitalist after the original service change handoff. These repeat communications served to clarify missing information as well as to allow opportunities to review and update information as summarized in Table 3C.

Suggestions for Improving Service Changes

Suggestions for improving service handoff communication yielded four major categories: (1) improve the quality of information relayed; (2) utilization of communication techniques to ensure accurate transmission of data; (3) improve the communication content; and (4) involve other stakeholders (see Table 3D).

The comments around quality of communication highlighted the tension between too much and too little information that may be resolved by organizing the content of the handoff communication without dedicating more time to the process. While some respondents felt that a detailed signout is always helpful, others stressed the need to avoid useless rambling. One respondent, who preferred a minimalist approach, felt that a comprehensive patient summary was difficult to retain and that having the outgoing physician available to answer questions early in the rotation was an effective alternative to a single episodic handoff. Another recommendation included the use of the read‐back technique to ensure accurate transmission of important information.

Discussion

To our knowledge, this is the first study of service changes among hospitalists. The results suggest that hospitalists in an academic medical center face obstacles to effective communication during service changes. A significant number of handoffs were described by hospitalists as incomplete and that missing information were associated with negative outcomes at the patient level. Reports of incomplete handoffs were associated with uncertainty by incoming physicians about the plan of care for patients and with the need to spend more time dealing with issues arising from this uncertainty. Although most of the effects on patients were near‐misses and not adverse events, the details elicited in this study reveal the threats to patient safety that arise from ineffective communication.

Interestingly, verbal communication was not associated with better transmission of information in this study. One reason for this may be the almost universal use of verbal communication in the service change handoffs among hospitalists at the UCMC. The value of verbal communication is supported by other studies that suggest the benefits of verbal exchanges combined with typed information sheets.15

In our study, hospitalists spent a significant amount of time resolving issues that arose from incomplete communication at service change. The need to retrieve missing information from charts and electronic medical records is to be expected, even if the handoffs were complete, but the use of patients and their family as redundant sources of information may lead to delay and stakeholder dissatisfaction. Likewise, consulting physicians were sometimes frustrated by not having their recommendations passed on during hospitalist service changes and of being asked to repeat their recommendations to each new incoming hospitalist. Moreover, many patients and consulting physicians were not informed about upcoming service changes by hospitalists. Informing stakeholders of staffing changes may be an important component of handoffs that requires attention.4, 16

The frequent communication between the outgoing and incoming hospitalists, even after their original handoff communication, points to the possible benefit of an overlap period during which outgoing physicians remain available to fill gaps in information. The willingness of outgoing hospitalists in this study to initiate this interaction reveals an opportunity for an intervention and is contrary to existing concerns that hospitalists, as opposed to primary care physicians, absolve themselves of patient responsibilities when their shift is completed.17, 18

Ensuring that handoff communication is concise and systematic is essential to improving the quality of care provided by hospitalists. An all‐inclusive transmission of unprocessed information, no matter how detailed, does not improve completeness of communication. Instead, we find that the complete transmission of patient information consists of both the discussion of the salient factual information about the case and the outgoing physician's assessment and future plan. A new strategy to improve completeness of service change communication may involve the use of a checklist to ensure a comprehensive review of critical details, as well as the use of narratives to tie together a coherent plan.

Alternative cutpoints for the dichotomized Likert categories for uncertainty about the plan and completeness of the handoff were explored. For example, it is also reasonable to interpret the response somewhat certain, referring to the plan of care on the transition day, as belonging to the dichotomized category uncertain as opposed to certain. A broader definition of uncertain increased the number of responses in that category but the variable's associations with other item responses were not significantly different from the results presented. We chose the symmetrical dichotomization cutpoint to ensure similar number of answers in each category.

There are several limitations with this study. First, the study was limited to self‐reported data without confirmation by direct observation. Additionally, responses to survey questions that ask participants to recollect details of a past handoff communication are subject to recall bias. We tried to minimize this bias effect by adhering to a schedule that surveyed hospitalists almost exactly at 48 hours into their rotation. However, there may still be hindsight bias about the respondents' perceived completeness of the handoffs based on the events of those 48 hours.19 In addition, a service of difficult patients requiring more of the hospitalist's time could influence his or her perception of a poor handoff through reverse causation. The study is not immune to a Hawthorne effect during the 8 months study period.20 This was a single‐center study examining 1 clinical service. The small sample size limits the depth of our analysis, but this is the first work to describe this phenomenon and although the data is not definitive, it may stimulate further work in the area. Although our study focused on completeness as the sole measure of handoff adequacy, additional measures may be explored in future studies. Finally, our findings may not be generalizable because of the unique features of the UCMC's hospitalist program, such as the specialized patient population. An examination of other practice settings is indicated for future studies.

Significant variability exists in the methods used to conduct service changes. Although a previous qualitative study of handoffs at our institution yielded a theme of poor communication around specific individuals,21 consistently poor communicators did not emerge as a theme in this qualitative analysis. We believe that episodes of incomplete communication are not always attributable to individual deficits and suggest that solutions to the communication problem exist at the systems level. The development and implementation of future interventions to improve hospitalist service changes may incorporate some of the elements suggested here.

A growing number of reports indicate that communication failures among physicians at transitions of care are critical to patient safety.16 The practice of physician handoffs at shift and service changes are variable, with no standardized protocol shown to be effective at ensuring complete transmission of information.7 In 2006, the Joint Commission set a National Patient Safety Goal to implement a standardized approach to hand off communications.8 Hospitalists stand to be impacted by this decision due to the frequency of care transitions that are inherent in hospital practice. The Society of Hospital Medicine (SHM) recognizes safe transitions of care as a core competency of hospitalists and is actively exploring standardization of the process.9 While recent attention has focused on improved communication during shift changes, little data exists to guide handoffs among hospitalists at service changes.

Good service change communication is an essential skill of hospital medicine because frequent service handoffs are often unavoidable in hospitalist practices that seek to balance the demand for around‐the‐clock coverage for inpatients and the need to create sustainable schedules to avoid physician burnout.10 But the tradeoff between fewer hours worked and discontinuity of care is well recognized.7 Increasingly fragmented care without corresponding improvements in handoff communication may exacerbate the problem. This study aims to characterize communication practices among hospitalists during service changes and to describe adverse and near miss events that may occur as a result of poor handoffs during these vulnerable care transitions.

Methods

Setting

This study was conducted with Institutional Review Board (IRB) exemption at a single, academic tertiary care institution. The Section of Hospital Medicine at the University of Chicago is comprised of 17 physicians and 5 mid‐level practitioners (Nurse Practitioner and Physician Assistant), and staffs a nonteaching multispecialty service of patients with solid‐organ transplants (excluding heart) or preexisting oncological diagnoses. While hospitalists are the attendings of record, the care of these complex patients often requires the input of subspecialty consultants.

The nonteaching hospitalist service consists of 2 teams, each staffed by 1 hospitalist, and 1 or 2 mid‐level practitioners supporting the hospitalist on weekdays. Hospitalists rotate on the service for 1 or 2 weeks at a time. Mid‐level practitioners work a nonuniform 3 to 4 days per week. The patient census ranges from 2 to 12 patients per team while 3 to 6 new admissions are received every other day. A dedicated nocturnist or moonlighter manages existing patients and new admissions overnight.

At the time of service change, either the incoming or the outgoing physician initiates the communication by pager, telephone, e‐mail, or by face‐to‐face solicitation. A computerized census form on a Microsoft Word template with each patient's identifying information and a summary of the hospital course is updated by the outgoing hospitalist and is accessible to the incoming hospitalist. Mid‐level practitioners, typically, do not participate in service change handoffs because they are not always on duty at the time of service change. Other than through the universal use of the computerized census form, there was no standardized protocol or education on how to perform service changes.

Data Collection

All 17 hospitalists rotating through the nonteaching inpatient service at the University of Chicago Medical Center (UCMC) were recruited to participate. Between May and December 2007, one of the investigators (K.H.) hand‐delivered surveys to the study subjects who usually completed the survey immediately. Those who could not complete the survey on the spot were approached by the investigator a second time a few hours later. The participants were hospitalists who started their duty on the nonteaching service 48 hours earlier. A total of 60 service changes during the study period were the units of analysis in this study.

Eighteen items of the anonymous, paper‐based, self‐administered survey (see Appendix 1) were created to evaluate the characteristics of service change communications found to be salient in previous studies.11, 12 Hospitalists were asked to estimate the time they spent on the handoff communication, and the time they spent dealing with issues that arose as a result of missing information. Responses included <5 minutes, 6‐15 minutes, 16‐30 minutes, 31‐60 minutes, and >60 minutes.

Completeness of the handoff communication and the respondents' certainty about the care‐plans for the patients on the first day of service were rated using 6‐point Likert‐type scales. For example, the possible responses to an item asking respondents to rate the completeness of information in the handoff communication were grossly incomplete, incomplete, somewhat incomplete, somewhat complete, complete, and excessively complete. Respondents were asked to recall how often they encountered consequences of incomplete handoffs such as instances, within the first 48 hours of service, when they required information that should have been discussed at handoff but was not. Another consequence of incomplete handoffs that the survey asked hospitalists to recall was the frequency of near‐miss and adverse events.

Narrative details about missing information from the service change and near misses and adverse events attributable to poor handoffs were solicited using the critical incident technique. This technique is used to elicit open‐ended constructed descriptions of infrequently occurring events through personal observations and experience.13 Respondents were also asked about the frequency and content of any discussions they had with the outgoing hospitalist after the original handoff communication. Finally, suggestions for improving service change handoffs were solicited from each respondent.

Data Analysis

The results of the Likert responses were dichotomized such that incomplete handoffs were defined as response of grossly incomplete, incomplete, or somewhat incomplete. Complete handoffs were defined as response of somewhat complete, complete, or excessively complete. Similarly, certainty about the plan for each patient on the first day of rotation was dichotomized with uncertain defined as response of uncertain, mostly uncertain, or somewhat uncertain, while certain was defined as a response of somewhat certain, mostly certain, or certain. Associations among service change characteristics were compared using chi‐square tests of the dichotomized Likert‐type data.

Narrative responses were analyzed by 3 of the authors (J.F., K.H., V.A.) using the constant comparative method.14 Major categories were created without a priori hypotheses. These categories were compared across surveys to yield integration or refinement into further subcategories. Disagreements were resolved by discussion until 100% agreement was reached.

Results

Service Change Communication

Fifty‐six of 60 (93%) surveys evaluating service changes were completed and returned. All (17) eligible hospitalists participated. All but 1 completed survey indicated that some form of handoff communication took place between the incoming and the outgoing hospitalists. The median time category spent on service change communications was 6 to 15 minutes. Forty‐eight of 55 (87%) respondents who participated in handoff communication reported communicating on the day prior to the transition day, while the remainder communicated 2 or 3 days prior to, or on the transition day. Most communicated verbally, either by telephone (75%) or face to face (16%); 10% of respondents who did not speak with the outgoing physician received e‐mail as the main method of communication. The distribution of time spent on the service change communication is summarized in Figure 1A.

Figure 1
Distribution of: (A) time spent on service change communication and (B) time spent dealing with issues arising from missed information per patient.

Completeness of Service Changes

Thirteen percent (7/56) of service change communication was described as incomplete. These were associated with consequences of incomplete service changes (see Table 1). Specifically, handoffs characterized as incomplete were more likely to have hospitalists report uncertainty regarding the plan of care (71% incomplete vs. 10% complete, P < 0.01), discover missing information (71% incomplete vs. 24% complete, P = 0.01), and report near‐misses/adverse events (57% incomplete vs. 10% complete, P < 0.01). Completeness was not associated with time spent on the communication (P = 0.77) or with having engaged in verbal communication (88% complete vs. 100% incomplete, P = 0.33). Incomplete handoff communications were also associated with hospitalists spending more than the median time dealing with issues arising from missing or lost information (71% incomplete vs. 22% complete, P < 0.01). The distribution of time spent retrieving missing patient information and resolving issues that arose from it is shown in Figure 1B. The median time category was 6 to 15 minutes per patient.

Associations Between Completeness of Handoff Communication and Consequences of Incomplete Service Changes
 Incomplete (n = 7) %Complete (n = 49) %P Value
Uncertainty about the patient care plan (n = 10)7110<0.01
Discovery of missed information that should have been discussed (n = 17)71240.01
Report of adverse and near miss events (n = 9)5710<0.01
More than 15 minutes spent dealing with issues arising from missed information (n = 16)7122<0.01

The recovery of missing information involved hospitalists utilizing various sources of information summarized in Table 2. Electronic medical records were used most commonly (86%), followed by the patient chart (82%). 38% of respondents also reported soliciting the outgoing physician to recover information that was missed in the service change. Only 40% reported that patients were aware of the service change and 15% reported that patients' family were aware of the service change. Sixty‐one percent of respondents believe that a more detailed communication at service change can help avoid uncertainty, delays, and adverse events.

Sources Used by Hospitalists to Recover Information Missing from Original Handoff Communication
Sourcesn (%)
  • NOTE: Total number of handoffs, n = 56.

Electronic medical records48 (86)
Patient chart46 (82)
Consulting physicians39 (70)
Patients' family33 (59)
Patients32 (57)
Outgoing physician (repeat communications)21 (38)

Qualitative Data

Qualitative analyses of omitted information at service change yielded the following major categories: (1) factual patient information; (2) information pertaining to future plan of care; and (3) disagreements about past management (Table 3A). Among the subthemes of the first major category, recommendations by consultants were pointed out as a specific area requiring targeted discussions during the handoff process.

Results of Qualitative Analysis
Major CategorySubthemeRepresentative Comment
  • Abbreviations: DKA, diabetic ketoacidosis; MD, medical doctor.

A. Information not discussed at service change that should have been discussed  
Factual patient informationFrom initial workup[Was] the preceding MD unaware that the patient had colonic ischemia?
 Complications during the present hospital courseWould have liked to hear the highlights of previous workup for hyponatremia
 Patient familyWould have liked to know how much family members were involved
 Consultant recommendationConsultant recommendations were only partially done and not very well communicated
Future plan of carePlans to advance hospital coursePlan for dialysis when an existing access catheter was to be removedno explanation of plan
 Disposition planningReasons why home regimen of diuretics were being held and plans to resume or keep holding at discharge
Disagreement about managementDiagnosticsAppropriate surveillance labs not ordered in 12 hours for a patient admitted with a wide anion gap from DKA
 TherapeuticsNo blood transfusion in a patient needing one
B. Adverse and near‐miss events attributable to missed information  
Poor quality of careUncoordinated careCoagulation issue not addressed prior to scheduled procedure leading to delay
 Deviations from standard carePatient almost did not receive nephroprotective regimen prior to an angiogram
Stakeholder dissatisfiedPatient dissatisfiedPatient was not placed mainly because of poor communication
 Consultant dissatisfiedConsultants were unhappy that their [recommendations] were not followed
C. Topics covered in posthandoff communications between physicians  
Clarification of missing informationMedical historyQuestion regarding patient's baseline mental status
 Disposition planningQuestion about discharge planning and communication with family
 Consultant recommendationsClarification of consult recommendations
Evaluative discussionReview of medical managementDiscussion about antibiotic choice started over the weekend
 UpdatesPreceding physician came and asked me how the patients were doing
D. Suggestions for improving handoff communication  
Techniques to improve the quality of verbal communicationTension between too much and too littleMaybe it's purely a style issue, but I tend to give a lengthy signout, maybe too detailed but for detail‐oriented person like me a very cursory signout leaves too much uncertainty
 FocusedThe exchange of information should befocused on what are the major vs. minor issues
 SystematicSignout should be more systematictime spent signing out is useless if filled with useless rambling
Techniques to ensure the accurate transmission of informationRead‐backRead‐back ensures details are correct
 Transition periodHaving the previous hospitalist available to answer questions is enough
Suggested content improvementsCommunicate future plan of careShould focus on the future plan of care and not only on medical problems so that the in‐coming person will have a better idea of what to do on his first day
 Transmit consultant recommendationsKnowing consult recommendations for patients and plans for procedures
Involving other stakeholdersInform patients of service changePreceding MD explained change to all patients and they appreciated it
 Involve mid‐level practitioners in the communicationBetter mid‐level to physician communication would help

When asked to describe the nature of near‐miss and adverse events, 2 major categories emerged: (1) poor quality of care; and (2) stakeholder dissatisfaction (Table 3B). Respondents of this study only reported near‐miss events, but included several events that could have resulted in significant patient harm. One respondent wrote, [the] patient almost did not receive nephroprotective regimen prior toangio[gram]. On a service with complicated patients requiring the involvement of multiple subspecialists, the need for coordination through better communication was frequently mentioned.

As previously described, incoming hospitalists who discovered missing information often engaged in discussions with the outgoing hospitalist after the original service change handoff. These repeat communications served to clarify missing information as well as to allow opportunities to review and update information as summarized in Table 3C.

Suggestions for Improving Service Changes

Suggestions for improving service handoff communication yielded four major categories: (1) improve the quality of information relayed; (2) utilization of communication techniques to ensure accurate transmission of data; (3) improve the communication content; and (4) involve other stakeholders (see Table 3D).

The comments around quality of communication highlighted the tension between too much and too little information that may be resolved by organizing the content of the handoff communication without dedicating more time to the process. While some respondents felt that a detailed signout is always helpful, others stressed the need to avoid useless rambling. One respondent, who preferred a minimalist approach, felt that a comprehensive patient summary was difficult to retain and that having the outgoing physician available to answer questions early in the rotation was an effective alternative to a single episodic handoff. Another recommendation included the use of the read‐back technique to ensure accurate transmission of important information.

Discussion

To our knowledge, this is the first study of service changes among hospitalists. The results suggest that hospitalists in an academic medical center face obstacles to effective communication during service changes. A significant number of handoffs were described by hospitalists as incomplete and that missing information were associated with negative outcomes at the patient level. Reports of incomplete handoffs were associated with uncertainty by incoming physicians about the plan of care for patients and with the need to spend more time dealing with issues arising from this uncertainty. Although most of the effects on patients were near‐misses and not adverse events, the details elicited in this study reveal the threats to patient safety that arise from ineffective communication.

Interestingly, verbal communication was not associated with better transmission of information in this study. One reason for this may be the almost universal use of verbal communication in the service change handoffs among hospitalists at the UCMC. The value of verbal communication is supported by other studies that suggest the benefits of verbal exchanges combined with typed information sheets.15

In our study, hospitalists spent a significant amount of time resolving issues that arose from incomplete communication at service change. The need to retrieve missing information from charts and electronic medical records is to be expected, even if the handoffs were complete, but the use of patients and their family as redundant sources of information may lead to delay and stakeholder dissatisfaction. Likewise, consulting physicians were sometimes frustrated by not having their recommendations passed on during hospitalist service changes and of being asked to repeat their recommendations to each new incoming hospitalist. Moreover, many patients and consulting physicians were not informed about upcoming service changes by hospitalists. Informing stakeholders of staffing changes may be an important component of handoffs that requires attention.4, 16

The frequent communication between the outgoing and incoming hospitalists, even after their original handoff communication, points to the possible benefit of an overlap period during which outgoing physicians remain available to fill gaps in information. The willingness of outgoing hospitalists in this study to initiate this interaction reveals an opportunity for an intervention and is contrary to existing concerns that hospitalists, as opposed to primary care physicians, absolve themselves of patient responsibilities when their shift is completed.17, 18

Ensuring that handoff communication is concise and systematic is essential to improving the quality of care provided by hospitalists. An all‐inclusive transmission of unprocessed information, no matter how detailed, does not improve completeness of communication. Instead, we find that the complete transmission of patient information consists of both the discussion of the salient factual information about the case and the outgoing physician's assessment and future plan. A new strategy to improve completeness of service change communication may involve the use of a checklist to ensure a comprehensive review of critical details, as well as the use of narratives to tie together a coherent plan.

Alternative cutpoints for the dichotomized Likert categories for uncertainty about the plan and completeness of the handoff were explored. For example, it is also reasonable to interpret the response somewhat certain, referring to the plan of care on the transition day, as belonging to the dichotomized category uncertain as opposed to certain. A broader definition of uncertain increased the number of responses in that category but the variable's associations with other item responses were not significantly different from the results presented. We chose the symmetrical dichotomization cutpoint to ensure similar number of answers in each category.

There are several limitations with this study. First, the study was limited to self‐reported data without confirmation by direct observation. Additionally, responses to survey questions that ask participants to recollect details of a past handoff communication are subject to recall bias. We tried to minimize this bias effect by adhering to a schedule that surveyed hospitalists almost exactly at 48 hours into their rotation. However, there may still be hindsight bias about the respondents' perceived completeness of the handoffs based on the events of those 48 hours.19 In addition, a service of difficult patients requiring more of the hospitalist's time could influence his or her perception of a poor handoff through reverse causation. The study is not immune to a Hawthorne effect during the 8 months study period.20 This was a single‐center study examining 1 clinical service. The small sample size limits the depth of our analysis, but this is the first work to describe this phenomenon and although the data is not definitive, it may stimulate further work in the area. Although our study focused on completeness as the sole measure of handoff adequacy, additional measures may be explored in future studies. Finally, our findings may not be generalizable because of the unique features of the UCMC's hospitalist program, such as the specialized patient population. An examination of other practice settings is indicated for future studies.

Significant variability exists in the methods used to conduct service changes. Although a previous qualitative study of handoffs at our institution yielded a theme of poor communication around specific individuals,21 consistently poor communicators did not emerge as a theme in this qualitative analysis. We believe that episodes of incomplete communication are not always attributable to individual deficits and suggest that solutions to the communication problem exist at the systems level. The development and implementation of future interventions to improve hospitalist service changes may incorporate some of the elements suggested here.

References
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  21. Arora V,Johnson J.A model for building a standardized hand‐off protocol.Jt Comm J Qual Patient Saf.2006;32(11):646655.
References
  1. Kohn LT,Corrigan JM,Donaldson MS.To Err is Human: Building a Safer Health System.Washington, DC:National Academies Press;2000.
  2. Arora V,Farnan JM.Care transitions for hospitalized patients.Med Clin N Am.2008;92:315324.
  3. Arora V,Johnson J,Lovinger D,Humphrey HJ,Meltzer DO.Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis.Qual Saf Health Care.2005;14:401407.
  4. Apker J,Mallak LA,Gibson SC.Communicating in the “gray zone”: perceptions about emergency physician‐hospitalist handoffs and patient safety.Acad Emerg Med.2007;14:884894.
  5. Borowitz SM,Waggoner‐Fountain LA,Bass EJ,Sledd RM.Adequacy of information transferred at resident sign‐out (inhospital handover of care): a prospective survey.Qual Saf Health Care.2008;17:610.
  6. Solet DJ,Norvell JM,Rutan GH,Frankel RM.Lost in translation: challenges and opportunities in physician‐to‐physician communication during patient handoffs.Acad Med.2005;80:10941099.
  7. Vidyarthi AR,Arora V,Schnipper JL,Wall SD,Wachter RM.Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out.J Hosp Med.2006;1(4):257266.
  8. National Patient Safety Goals. Available at: http://www.jcaho.com. Accessed May2009.
  9. Dressler DD,Pistoria MJ,Budnitz TL,McKean SC,Amin AN.Core competencies in hospital medicine: development and methodology.J Hosp Med.2006;1(1):4856.
  10. Arora V,Fang MC,Kripalani S,Amin AN.Preparing for “diastole”: advanced training opportunities for academic hospitalists.J Hosp Med.2006;1(6):368377.
  11. Farnan JM,Johnson JK,Meltzer DO,Humphrey HJ,Arora VM.Resident uncertainty in clinical decision making and impact on patient care: a qualitative study.Qual Saf Health Care.2008;17:122126.
  12. Horwitz LI,Krumholz HM,Green ML,Huot SJ.Transfers of patient care between house staff on internal medicine wards: a national survey.Arch Intern Med.2006;166(11):11731177.
  13. Flanagan JC.The critical incident technique.Psychol Bull.1954;51:327358.
  14. Strauss A,Corbin J.Basics of Qualitative Research.2nd ed.Thousand Oaks, CA:Sage Publications;1998.
  15. Pothier D,Monteiro P,Mooktiar M,Shaw A.Pilot study to show the loss of important data in nursing handover.Br J Nurs.2005;14(20):10901093.
  16. Fletcher KE,Wiest FC,Halasyamani L, et al.How do hospitalized patients feel about resident work hours, fatigue, and discontinuity of care.J Gen Intern Med.2008;23(5):623628.
  17. Pantilat SZ,Alpers A,Wachter RM.A new doctor in the house: ethical issues in hospitalist systems.JAMA.2000;283(3):336337.
  18. Arora VM,Johnson JK,Meltzer DO,Humphrey HJ.A theoretical framework and competency‐based approach to improving handoffs.Qual Saf Health Care.2008;17(1):1114.
  19. Henriksen K,Kaplan H.Hindsight bias, outcome knowledge and adaptive learning.Qual Saf Health Care.2003;12(suppl 2):ii46ii50.
  20. Mayo E. Hawthorne and the Western Electric Company.The Social Problems of an Industrial Civilisation.London, UK:Routledge;1949.
  21. Arora V,Johnson J.A model for building a standardized hand‐off protocol.Jt Comm J Qual Patient Saf.2006;32(11):646655.
Issue
Journal of Hospital Medicine - 4(9)
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Journal of Hospital Medicine - 4(9)
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535-540
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535-540
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Understanding communication during hospitalist service changes: A mixed methods study
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Understanding communication during hospitalist service changes: A mixed methods study
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A New Perspective

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A new perspective

I lay tossing and turning in the uncomfortable bed; the strange room with cables and stands strewn everywhere was very familiar but at the same time alien to me. I lay there thinking how I ended up here. Only a few short weeks ago I was on my way to a successful career as a hospitalist. I had just finished my chief residency, confident in my skills as a clinician. I considered myself to be a strong patient advocate and felt proud of the fact that I kept the patient above everything else. But I had no inkling of what the future had in store for me. I was not supposed to be a patient, I was young and healthy; surely this had to be a mistake. I realized that I just wasn't ready to handle the situation from the other side!

My nightmare started about a week before, when I woke up with excruciating abdominal pain, too weak to even call out for help. I eventually mustered enough strength to call Emergency Medical Services (EMS), the differential diagnosis of my symptoms going through my head. Surely I had perforated an ulcer! The increased proton pump inhibitor consumption wasn't just because of the rigors of the chief residency.

At the triage station, I could see the nurse looking at me, I knew that look, Great! She thinks I am a pain medication seeker. Even though it was a rude awakening, I realized I was disheveled, unkempt, and looked like anyone else on the street. Between spasms of pain and nursing my bruised ego, I blurted out, Can I have something for this pain!? I can't take it any more. All I got back was a blank stare and a dry, We will have to wait till the doctor sees you.

The Emergency Room (ER) physician recognized me as one of the new hospitalists. The demeanor of the staff changed perceptibly; I got the pain medications and the nurses paid close attention to my overall comfort. A battery of tests was ordered and an abdominal computed tomography (CT) scan revealed acute cholecystitis. I underwent an emergent cholecystectomy. On the third postoperative day I developed a nonproductive cough. The fever started within the next 24 hours. A CT scan revealed a large left lower lobe pneumonia.

God, why is this happening to me? I was in a daze while arrangements were being made to admit me. It was a different hospital, but here the treatment from the nurses was completely different. They had known me for almost 4 years, and had followed my progress from a green, wet‐behind‐the‐ears intern, to a chief resident, and eventually to an attending physician. Over the years they had learned to trust and respect me, but more importantly they had a bond with me that had developed over the years. This familiarity affected their interaction with me in this different role. I was astonished by how different our behaviors can be, based on our perception of the patient. As medical professionals we want to think that we look at people through the same lens, but our biases can creep up on us without us even realizing it.

I required a week of intravenous (IV) antibiotics before I was discharged home. Multiple blood draws, sometimes scheduled an hour apart; nurse evaluations in the middle of the night; and the nurse call light for the entire floor waking me up at odd hours exposed me to a new dimension of being hospitalized. This incident opened my eyes to a power differential that exists between patients and the healthcare providers. I realized that we are very quick to point out that we are doing what is best for a patient, even if it is uncomfortable or downright scarywithout ever considering the emotional and physical turmoil a patient is going through. My experience changed me; I recognize the anger a patient feels because of multiple blood draws every day. I now understand how the constant interruption of sleep cycles because of laboratory draws and vital sign monitoring would inexplicably make an octogenarian lose all bearings of time and place when hospitalized. I find myself asking if I really need to make my patients go through an entire battery of tests, or is there something else that I can do to make their hospital course any easier. I feel the need to sit down with my patients and ask them about small things, their pain control, and their sleep patterns during the hospitalization. I have realized that these small gestures can make a significant impact in the interaction between a physician and a patient.

As physicians and medical professionals, we come with our own set of biases, but our profession further jaundices our opinions about patient needs and demands. Biases are not just based on age, sex, or socioeconomic background, but also on our perception of the severity of a disease process. Perhaps words like frequent fliers and gomers are just a manifestation of this prejudice. We are taught to be objective in our daily interactions with patients, but this also indoctrinates a degree of cynicism. Slowly, this cynicism creeps into our daily patient interactions. We forget that patients with multiple medical problems and frequent admissions also need our help. A lack of tangible diagnosis does not mean the absence of disease. As physicians, we need to evaluate our interaction with patients closely. It is the frequent fliers and the old and debilitated individuals that need the closest scrutiny. If a patient with multiple admissions for pain has come in, we need to give them the benefit of the doubt when we address their complaints. I have realized that the occasional manipulative patient will let me down, but in order to practice this profession I have to leave skepticism out of any patient interaction. I recognize that I am not going to transform patient behavior, but I can try to give them the advantage whenever I can.

Our education system values compassion and professionalism, and we try to inculcate these values in our young physicians. Our curriculums try to incorporate compassion in our daily patient interactions, but I feel that simulated patient encounters and checklists make patient contact mechanical. We develop skills to diagnose diseases through repetition, but we fail to teach our students about the individuality of a patient. In the age of quality improvement and patient safety, the ethics and basic decency of our profession has taken a back seat. My illness has forced me to consider my role as a clinician‐educator. I feel that this experience was as important as any training I received in my journey as a physician. Looking at the spectrum of disease from the other side has opened new avenues for me as a physician. I have come to realize that as educators we have the responsibility to teach our students to become empathic and considerate healers.

Feedback surveys and simulated patient encounters give us an inaccurate assessment of student interaction with patients. These controlled environments can never take the place of a real patient. Time spent at the bedside with a patient or a family is becoming scarcer because of time constraints and work hour rules. But despite these changes we can devise new ways to stimulate critical thinking. Interaction of residents with patients can be outside of their daily responsibilities. Perhaps a rotation in which the residents review charts and interact with patients in a purely nonclinical role will force them to look at people as individuals rather than just patients. A desensitization at the end of residency to make them think as human beings first and physicians second might modify their decision making. Role reversals can serve as a valuable tool to achieve this goal. Perhaps our evaluation system needs to change from a retrospective subjective scrutiny of resident performance to a more objective analysis of patient care.

I strongly feel that we need to instill these virtues in our trainees. Perhaps they will never fully grasp the vulnerability a patient feels while lying in a hospital bed, but it is neither naive nor overly optimistic to suppose that this education can have a constructive effect on their behavior.

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Issue
Journal of Hospital Medicine - 4(9)
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574-575
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perspective, chief resident, emergency medical services (EMS)
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I lay tossing and turning in the uncomfortable bed; the strange room with cables and stands strewn everywhere was very familiar but at the same time alien to me. I lay there thinking how I ended up here. Only a few short weeks ago I was on my way to a successful career as a hospitalist. I had just finished my chief residency, confident in my skills as a clinician. I considered myself to be a strong patient advocate and felt proud of the fact that I kept the patient above everything else. But I had no inkling of what the future had in store for me. I was not supposed to be a patient, I was young and healthy; surely this had to be a mistake. I realized that I just wasn't ready to handle the situation from the other side!

My nightmare started about a week before, when I woke up with excruciating abdominal pain, too weak to even call out for help. I eventually mustered enough strength to call Emergency Medical Services (EMS), the differential diagnosis of my symptoms going through my head. Surely I had perforated an ulcer! The increased proton pump inhibitor consumption wasn't just because of the rigors of the chief residency.

At the triage station, I could see the nurse looking at me, I knew that look, Great! She thinks I am a pain medication seeker. Even though it was a rude awakening, I realized I was disheveled, unkempt, and looked like anyone else on the street. Between spasms of pain and nursing my bruised ego, I blurted out, Can I have something for this pain!? I can't take it any more. All I got back was a blank stare and a dry, We will have to wait till the doctor sees you.

The Emergency Room (ER) physician recognized me as one of the new hospitalists. The demeanor of the staff changed perceptibly; I got the pain medications and the nurses paid close attention to my overall comfort. A battery of tests was ordered and an abdominal computed tomography (CT) scan revealed acute cholecystitis. I underwent an emergent cholecystectomy. On the third postoperative day I developed a nonproductive cough. The fever started within the next 24 hours. A CT scan revealed a large left lower lobe pneumonia.

God, why is this happening to me? I was in a daze while arrangements were being made to admit me. It was a different hospital, but here the treatment from the nurses was completely different. They had known me for almost 4 years, and had followed my progress from a green, wet‐behind‐the‐ears intern, to a chief resident, and eventually to an attending physician. Over the years they had learned to trust and respect me, but more importantly they had a bond with me that had developed over the years. This familiarity affected their interaction with me in this different role. I was astonished by how different our behaviors can be, based on our perception of the patient. As medical professionals we want to think that we look at people through the same lens, but our biases can creep up on us without us even realizing it.

I required a week of intravenous (IV) antibiotics before I was discharged home. Multiple blood draws, sometimes scheduled an hour apart; nurse evaluations in the middle of the night; and the nurse call light for the entire floor waking me up at odd hours exposed me to a new dimension of being hospitalized. This incident opened my eyes to a power differential that exists between patients and the healthcare providers. I realized that we are very quick to point out that we are doing what is best for a patient, even if it is uncomfortable or downright scarywithout ever considering the emotional and physical turmoil a patient is going through. My experience changed me; I recognize the anger a patient feels because of multiple blood draws every day. I now understand how the constant interruption of sleep cycles because of laboratory draws and vital sign monitoring would inexplicably make an octogenarian lose all bearings of time and place when hospitalized. I find myself asking if I really need to make my patients go through an entire battery of tests, or is there something else that I can do to make their hospital course any easier. I feel the need to sit down with my patients and ask them about small things, their pain control, and their sleep patterns during the hospitalization. I have realized that these small gestures can make a significant impact in the interaction between a physician and a patient.

As physicians and medical professionals, we come with our own set of biases, but our profession further jaundices our opinions about patient needs and demands. Biases are not just based on age, sex, or socioeconomic background, but also on our perception of the severity of a disease process. Perhaps words like frequent fliers and gomers are just a manifestation of this prejudice. We are taught to be objective in our daily interactions with patients, but this also indoctrinates a degree of cynicism. Slowly, this cynicism creeps into our daily patient interactions. We forget that patients with multiple medical problems and frequent admissions also need our help. A lack of tangible diagnosis does not mean the absence of disease. As physicians, we need to evaluate our interaction with patients closely. It is the frequent fliers and the old and debilitated individuals that need the closest scrutiny. If a patient with multiple admissions for pain has come in, we need to give them the benefit of the doubt when we address their complaints. I have realized that the occasional manipulative patient will let me down, but in order to practice this profession I have to leave skepticism out of any patient interaction. I recognize that I am not going to transform patient behavior, but I can try to give them the advantage whenever I can.

Our education system values compassion and professionalism, and we try to inculcate these values in our young physicians. Our curriculums try to incorporate compassion in our daily patient interactions, but I feel that simulated patient encounters and checklists make patient contact mechanical. We develop skills to diagnose diseases through repetition, but we fail to teach our students about the individuality of a patient. In the age of quality improvement and patient safety, the ethics and basic decency of our profession has taken a back seat. My illness has forced me to consider my role as a clinician‐educator. I feel that this experience was as important as any training I received in my journey as a physician. Looking at the spectrum of disease from the other side has opened new avenues for me as a physician. I have come to realize that as educators we have the responsibility to teach our students to become empathic and considerate healers.

Feedback surveys and simulated patient encounters give us an inaccurate assessment of student interaction with patients. These controlled environments can never take the place of a real patient. Time spent at the bedside with a patient or a family is becoming scarcer because of time constraints and work hour rules. But despite these changes we can devise new ways to stimulate critical thinking. Interaction of residents with patients can be outside of their daily responsibilities. Perhaps a rotation in which the residents review charts and interact with patients in a purely nonclinical role will force them to look at people as individuals rather than just patients. A desensitization at the end of residency to make them think as human beings first and physicians second might modify their decision making. Role reversals can serve as a valuable tool to achieve this goal. Perhaps our evaluation system needs to change from a retrospective subjective scrutiny of resident performance to a more objective analysis of patient care.

I strongly feel that we need to instill these virtues in our trainees. Perhaps they will never fully grasp the vulnerability a patient feels while lying in a hospital bed, but it is neither naive nor overly optimistic to suppose that this education can have a constructive effect on their behavior.

I lay tossing and turning in the uncomfortable bed; the strange room with cables and stands strewn everywhere was very familiar but at the same time alien to me. I lay there thinking how I ended up here. Only a few short weeks ago I was on my way to a successful career as a hospitalist. I had just finished my chief residency, confident in my skills as a clinician. I considered myself to be a strong patient advocate and felt proud of the fact that I kept the patient above everything else. But I had no inkling of what the future had in store for me. I was not supposed to be a patient, I was young and healthy; surely this had to be a mistake. I realized that I just wasn't ready to handle the situation from the other side!

My nightmare started about a week before, when I woke up with excruciating abdominal pain, too weak to even call out for help. I eventually mustered enough strength to call Emergency Medical Services (EMS), the differential diagnosis of my symptoms going through my head. Surely I had perforated an ulcer! The increased proton pump inhibitor consumption wasn't just because of the rigors of the chief residency.

At the triage station, I could see the nurse looking at me, I knew that look, Great! She thinks I am a pain medication seeker. Even though it was a rude awakening, I realized I was disheveled, unkempt, and looked like anyone else on the street. Between spasms of pain and nursing my bruised ego, I blurted out, Can I have something for this pain!? I can't take it any more. All I got back was a blank stare and a dry, We will have to wait till the doctor sees you.

The Emergency Room (ER) physician recognized me as one of the new hospitalists. The demeanor of the staff changed perceptibly; I got the pain medications and the nurses paid close attention to my overall comfort. A battery of tests was ordered and an abdominal computed tomography (CT) scan revealed acute cholecystitis. I underwent an emergent cholecystectomy. On the third postoperative day I developed a nonproductive cough. The fever started within the next 24 hours. A CT scan revealed a large left lower lobe pneumonia.

God, why is this happening to me? I was in a daze while arrangements were being made to admit me. It was a different hospital, but here the treatment from the nurses was completely different. They had known me for almost 4 years, and had followed my progress from a green, wet‐behind‐the‐ears intern, to a chief resident, and eventually to an attending physician. Over the years they had learned to trust and respect me, but more importantly they had a bond with me that had developed over the years. This familiarity affected their interaction with me in this different role. I was astonished by how different our behaviors can be, based on our perception of the patient. As medical professionals we want to think that we look at people through the same lens, but our biases can creep up on us without us even realizing it.

I required a week of intravenous (IV) antibiotics before I was discharged home. Multiple blood draws, sometimes scheduled an hour apart; nurse evaluations in the middle of the night; and the nurse call light for the entire floor waking me up at odd hours exposed me to a new dimension of being hospitalized. This incident opened my eyes to a power differential that exists between patients and the healthcare providers. I realized that we are very quick to point out that we are doing what is best for a patient, even if it is uncomfortable or downright scarywithout ever considering the emotional and physical turmoil a patient is going through. My experience changed me; I recognize the anger a patient feels because of multiple blood draws every day. I now understand how the constant interruption of sleep cycles because of laboratory draws and vital sign monitoring would inexplicably make an octogenarian lose all bearings of time and place when hospitalized. I find myself asking if I really need to make my patients go through an entire battery of tests, or is there something else that I can do to make their hospital course any easier. I feel the need to sit down with my patients and ask them about small things, their pain control, and their sleep patterns during the hospitalization. I have realized that these small gestures can make a significant impact in the interaction between a physician and a patient.

As physicians and medical professionals, we come with our own set of biases, but our profession further jaundices our opinions about patient needs and demands. Biases are not just based on age, sex, or socioeconomic background, but also on our perception of the severity of a disease process. Perhaps words like frequent fliers and gomers are just a manifestation of this prejudice. We are taught to be objective in our daily interactions with patients, but this also indoctrinates a degree of cynicism. Slowly, this cynicism creeps into our daily patient interactions. We forget that patients with multiple medical problems and frequent admissions also need our help. A lack of tangible diagnosis does not mean the absence of disease. As physicians, we need to evaluate our interaction with patients closely. It is the frequent fliers and the old and debilitated individuals that need the closest scrutiny. If a patient with multiple admissions for pain has come in, we need to give them the benefit of the doubt when we address their complaints. I have realized that the occasional manipulative patient will let me down, but in order to practice this profession I have to leave skepticism out of any patient interaction. I recognize that I am not going to transform patient behavior, but I can try to give them the advantage whenever I can.

Our education system values compassion and professionalism, and we try to inculcate these values in our young physicians. Our curriculums try to incorporate compassion in our daily patient interactions, but I feel that simulated patient encounters and checklists make patient contact mechanical. We develop skills to diagnose diseases through repetition, but we fail to teach our students about the individuality of a patient. In the age of quality improvement and patient safety, the ethics and basic decency of our profession has taken a back seat. My illness has forced me to consider my role as a clinician‐educator. I feel that this experience was as important as any training I received in my journey as a physician. Looking at the spectrum of disease from the other side has opened new avenues for me as a physician. I have come to realize that as educators we have the responsibility to teach our students to become empathic and considerate healers.

Feedback surveys and simulated patient encounters give us an inaccurate assessment of student interaction with patients. These controlled environments can never take the place of a real patient. Time spent at the bedside with a patient or a family is becoming scarcer because of time constraints and work hour rules. But despite these changes we can devise new ways to stimulate critical thinking. Interaction of residents with patients can be outside of their daily responsibilities. Perhaps a rotation in which the residents review charts and interact with patients in a purely nonclinical role will force them to look at people as individuals rather than just patients. A desensitization at the end of residency to make them think as human beings first and physicians second might modify their decision making. Role reversals can serve as a valuable tool to achieve this goal. Perhaps our evaluation system needs to change from a retrospective subjective scrutiny of resident performance to a more objective analysis of patient care.

I strongly feel that we need to instill these virtues in our trainees. Perhaps they will never fully grasp the vulnerability a patient feels while lying in a hospital bed, but it is neither naive nor overly optimistic to suppose that this education can have a constructive effect on their behavior.

Issue
Journal of Hospital Medicine - 4(9)
Issue
Journal of Hospital Medicine - 4(9)
Page Number
574-575
Page Number
574-575
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A new perspective
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A new perspective
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perspective, chief resident, emergency medical services (EMS)
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