Analysis of Serum Folate Testing

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Utility, charge, and cost of inpatient and emergency department serum folate testing

Folate deficiency has been associated with a number of medical conditions. It is well established that folate deficiency leads to macrocytic anemia,[1, 2] and that supplementation of folic acid during pregnancy leads to decreased rates of neural tube defects.[3] Folate deficiency has also been hypothesized to affect other conditions including dementia, delirium, peripheral neuropathy, depression, cancer, and cardiovascular disease.[4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] Most of these latter assertions are based on case reports or observational studies, with randomized controlled trials failing to demonstrate benefit of folic acid supplementation.[19, 20, 21]

Prior to mandatory folic acid fortification in the United States, the prevalence of folate deficiency was estimated to be between 3% and 16%.[16, 22, 23] In a study conducted prior to fortification, serum folate levels were evaluated in patients presenting with macrocytosis and anemia.[24] The study found that 2.3% of patients were serum folate deficient, with a change in management occurring in 24% of the deficient patients. The study also found that patients were charged $9979 per result that changed physician management.

In 1998, mandatory folic acid fortification began in the United States, and the prevalence of folate deficiency in the general population decreased to an estimated 0.5%.[23, 25] In a postfortification study, serum folate levels were evaluated in patients with anemia, dementia, or altered mental status.[26] The overall rate of serum folate deficiency was 0.4%, with the authors concluding that there was a lack of utility in serum folate testing. Despite this, algorithms addressing the evaluation of anemia continue to include serum folate levels.[2, 27, 28]

To our knowledge, the use of serum folate testing in the inpatient and emergency department population has never been independently evaluated. In our study, we aimed to characterize the indications, rate of deficiency, charge and cost per deficient result, and change in management per deficient result in inpatient and emergency department serum folate testing. We hypothesized that serum folate testing in these populations would have poor utility and would not be cost‐effective for any indication.

METHODS

We conducted a retrospective review of all serum folate tests ordered in inpatient units and the emergency department at a large academic medical center in Boston, Massachusetts from January 1, 2011 through December 31, 2011. The test was considered to be an inpatient or emergency department test based on the location of the blood draw on which the test was performed. Serum folate values were determined using a chemiluminescent competitive binding protein assay on an E170 analyzer as prescribed by the manufacturer (Roche Diagnostics, Indianapolis, IN). We defined serum folate levels as deficient (3.0 ng/mL), low‐normal (3.0 ng/mL3.9 ng/mL),[26] normal (4.0 ng/mL20.0 ng/mL), and high (>20.0 ng/mL). Erythrocyte folate levels are not routinely ordered at our institution and were not measured in our study.[29] Macrocytosis was defined as mean corpuscular volume of >99 fL. Vitamin B12 deficiency was defined as vitamin B12 level of under 200 pg/mL or vitamin B12 level of 200 to 300 pg/mL, with a methylmalonic acid >270 nmol/L and a normal homocysteine level (514 mol/L).[30, 31]

We evaluated 250 randomly selected serum folate levels and all deficient or low‐normal serum folate levels and recorded indication, comorbidities, age, sex, race or ethnicity, hemoglobin, hematocrit, mean corpuscular volume, vitamin B12 level, folic acid supplement on presentation, and folic acid supplement on discharge. Indications were determined by chart review. If serum folate was checked at the same time as iron studies, it was assumed that the indication was anemia without macrocytosis or anemia with macrocytosis unless otherwise documented. Comorbidities were selected based on historical risk factors and included depression, peripheral neuropathy, intestinal surgery, gastric bypass, cirrhosis, inflammatory bowel disease, celiac disease, delirium, dementia, alcohol abuse, malnutrition, anemia, end‐stage renal disease, vitamin B12 deficiency, or current use of phenytoin, valproic acid, or methotrexate.[32]

A charge analysis was performed using the same methodology as Robinson and Mladenovic.[24] We defined the charge of serum folate testing as our institution's charge to the patient or payer, which was $151.00 per test. Because hospital charges are variable, we also made a second calculation based on the charge per patient or payer from the Robinson and Mladenovic study,[24] which was $71.00. The analytical cost to our hospital of performing each serum folate test was <$2.00. We determined the total charge and cost for all serum folate tests and the charge and cost per deficient result.

The study was reviewed by the institutional review board and determined to be exempt.

RESULTS

In 2011, a total of 2093 serum folate levels were obtained on 1944 inpatients and emergency department patients. Of the total patients, 79.9% were inpatients and 20.1% were emergency department patients. Of the patients with tests performed in the emergency department, 98.1% were admitted to an inpatient unit.

Of the 250 random chart reviews, all had normal or high serum folate levels. The demographics, indications, and comorbidities are listed in Table 1. The most common indications were anemia without macrocytosis (43.2%), anemia with macrocytosis (13.2%; mean corpuscular volume [MCV], 106.8 fL), delirium (12.0%), malnutrition (6.4%), and peripheral neuropathy (6.0%). The other indications included thrombocytopenia, macrocytosis (without anemia), methotrexate use, alcohol abuse, frequent falls, syncope, headache, lethargy, optic nerve neuropathy, paranoia, psychosis, leukopenia, anxiety, and suicidal ideation. All of these individual indications were 2% of total reviewed indications. There were 16 cases (6.4%) without a documented indication.

Demographics, Indications, and Comorbidities
  • NOTE: *Indications total more than 100% as patients may have more than 1 indication.
Age, median, y66.0
Male sex, %50.8
Race or ethnicity, %
White76.0
Black or African American12.0
Asian4.4
Hispanic4.0
Unknown or declined2.0
Other1.6
Indications, %*
Anemia without macrocytosis43.2
Anemia with macrocytosis13.2
Delirium12.0
Malnutrition6.4
Peripheral neuropathy6.0
Depression3.6
Dementia3.2
Pancytopenia2.4
Other10.4
Unknown6.4
Comorbidities, %
Depression23.2
Alcohol abuse18.4
Chronic anemia11.2
Malnutrition9.6
Prior intestinal surgery8.8
Peripheral neuropathy6.0
Dementia5.6
Gastric bypass surgery4.4
End‐stage renal disease4.0
End‐stage liver disease3.6
Use of phenytoin3.2
Inflammatory bowel disease2.4
Use of valproic acid2.0
Celiac disease1.2

Of the 2093 serum folate levels, there were 2 deficient (0.1%), 7 low‐normal (0.3%), 1487 normal (71.1%), and 597 high (28.5%) levels (Table 2). There were 128 patients (6.6%) who had more than 1 serum folate level checked within the prior 12 months, with 1 patient having 5 levels obtained during that time period. All of the deficient and low‐normal serum folate results are listed in Table 3. Of the 9 deficient or low‐normal serum folate levels, 8 had comorbid risk factors for folate deficiency. One of the deficient cases was on folic acid and multivitamin supplementation on presentation, although nonadherence with these supplements was documented in the medical record. The other deficient case was not on folic acid supplementation and did not receive folic acid supplementation for the deficient result. Vitamin B12 levels were checked simultaneously to serum folate levels in 85.2% of cases and within 6 months in 99.2% of cases. Of these patients, 2.0% were found to have vitamin B12 deficiency.

Serum Folate Results
  • NOTE: Abbreviations: MCV, mean corpuscular volume; StDev, standard deviation.
Total tests2093
Total patients1944
Low (%)2 (0.1)
Low‐normal (%)7 (0.3)
Normal (%)1487 (71.0)
High (%)597 (28.5)
MCV (StDev)92.1 (9.2)
Deficient and Low‐Normal Serum Folate Results
 Age, ySexFolate (ng/mL)IndicationComorbiditiesHgb (g/dL)MCV (fL)
  • NOTE: Abbreviations: GI, gastrointestinal; Hgb, hemoglobin; HIV, human immunodeficiency virus; MCV, mean corpuscular volume.
Deficient results
Case 135Male2.6Stroke workupPhenytoin, depression16.091
Case 263Male2.9Macrocytic anemiaAlcohol abuse, acute GI bleed7.7119
Low‐normal results
Case 364Male3.3Macrocytic anemiaCirrhosis, alcohol abuse12.3109
Case 442Male3.4PancytopeniaHIV, B12 deficiency7.593
Case 558Male3.4DepressionDepression, alcohol abuse13.898
Case 656Female3.5DepressionAlcohol abuse  
Case 785Male3.6DeliriumDepression10.591
Case 881Female3.6AnemiaChronic anemia9.195
Case 963Male3.9AnemiaChronic anemia, malnutrition7.688

Based on our institution's charge for serum folate, a total of $316,043 was charged for the 2093 serum folate tests. The amount charged per deficient result was $158,022. Substituting the charge from the Robinson and Mladenovic study,[24] we calculated the corresponding total charge and charge per deficient result as $149,545 and $74,772, respectively. The actual total cost to our hospital was <$4186, with a cost per deficient test of <$2093.

DISCUSSION

Serum folate levels are often obtained when evaluating anemia without macrocytosis and anemia with macrocytosis.[2] They are also frequently obtained in the evaluation of delirium and dementia. A prior study evaluated both inpatient and outpatient serum folate levels in anemia, dementia, and altered mental status and found only 0.4% of serum folate results to be deficient.[26] In their study, the indications for serum folate tests were anemia or macrocytic anemia (60%) and dementia or altered mental status (30%).

We found the indications for serum folate testing in inpatients and emergency department patients to be different than prior studies. The majority of tests were done to evaluate anemia without macrocytosis (43.2%) or anemia with macrocytosis (13.2%). Lower percentages were done for the evaluation of delirium (12.0%) or dementia (3.2%). In addition, there were multiple indications that have not been noted in previous studies, including depression, peripheral neuropathy, malnutrition, pancytopenia, and others. These accounted for 28.0% of all indications. The reason for the difference in indications compared to prior studies is unknown but may be related to our cohort of exclusively inpatients and emergency department patients. Also, we observed a high concurrence of serum folate and vitamin B12 testing, with 85.2% of serum folate levels ordered at the same time as vitamin B12 levels. It appears that the tests are often ordered together even when the indication suggests that vitamin B12 alone may be more appropriate, such as peripheral neuropathy.

We found that serum folate deficiency was rare, occurring in only 2 of 2093 results. Furthermore, the deficient serum folate results may have been checked for inappropriate indications. The first deficient result was noted as part of a stroke workup in a patient not taking folic acid supplementation. Current guidelines do not recommend serum folate testing in patients with new stroke.[33] In the second deficient case, serum folate testing was performed for evaluation of macrocytic anemia with an MCV of 119 fL. Although reasonable, this was an alcoholic patient presenting with acute gastrointestinal bleeding already on folic acid and multivitamin supplementation and known nonadherence with these supplements. In neither case was there a change in management based on the deficient result.

Given the low rate of serum folate deficiency and the lack of change in management based on deficient results, we conclude that there is a low utility of serum folate testing for any indication in inpatients and emergency department patients in folic acid‐fortified countries. Based on prior studies, and supported by our results, there is no evidence for checking serum folate levels in delirium, dementia, peripheral neuropathy, malnutrition, or any of the other indications. In addition, our results demonstrate a low utility even in patients with anemia or macrocytic anemia.

The rate of serum folate deficiency in our study was significantly lower than prior studies.[24, 26] There may have been geographical factors that led to a lower prevalence of folate deficiency in our study population. Our cohort included inpatients and emergency department patients, whereas previous studies had a majority of outpatients. It is known that serum folate levels can rapidly fluctuate with proper nutrition.[34] It may be that our patients received nutrition in the hospital that corrected serum folate levels prior to laboratory testing.

In addition to the low utility of serum folate testing, the charge per deficient result in our study ($158,022) was more than 100‐fold higher than that in the Robinson and Mladenovic study ($1321).[24] Even when correcting for variability in hospital charges by using the charge from the latter study, the charge per deficient serum folate test remained 50‐fold higher ($74,772). This implies that the increase in charge per deficient result was driven in part by a decreased rate of deficient tests. Folic acid fortification is likely responsible for some of the decrease. However, we believe another source is the excessive ordering of serum folate tests in patients without previously accepted indications. Because no change in management was made for the deficient patients in our study, the charge per serum folate deficient result that changed management approached infinity. This compares to $9979 in the Robinson and Mladenovic analysis.[24]

The cost to the hospital of a serum folate test was much lower than the charge, and estimated to be <$2093 per deficient result. Because serum folate tests are performed on a highly automated, random access analyzer that performs thousands of other measurements daily, the capital and labor costs for each test was well below $0.50 combined. With the addition of reagent costs, our total cost for each serum folate measurement was <$2.00. It is somewhat difficult to extrapolate these values to other hospitals, as exact costs and charges are variable. Nonetheless, the exceptionally low utility of serum folate testing makes the costs associated with these tests excessive.

Our study has several limitations. We conducted our study at a single institution in a country with mandatory folic acid fortification. Our results may not be generalizable to other institutions or patient populations, such as those in countries without mandatory folic acid fortification. Only 259 (12.4%) charts were reviewed, and indications were determined in 93.6% of charts, which may have caused our frequency to vary from the true frequency. Additionally, the low rate of deficient serum folate results limited our ability to identify associations with deficiency. Further evaluation for geographic variations of serum folate deficiency may reveal variable rates.

We conclude that in folic acid fortified countries, the rate of serum folate deficiency is increasingly rare, and the charge to patients and payers per deficient result is exceptionally high. In addition, testing in our study did not change clinical management, which makes the costs associated with these test wasteful. Further evaluation of serum folate testing of inpatients and emergency department patients in folic acid fortified countries is warranted; however, based on our results the utility appears poor for all indications.

Disclosure

Nothing to report.

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References
  1. Tefferi A, Pruthi RK. The biochemical basis of cobalamin deficiency. Mayo Clin Proc. 1994;69(2):181186.
  2. Kasper DL, Braunwald E, Longo D, et al. Harrison's Principles of Internal Medicine. New York, NY:McGraw‐Hill Professional;2004.
  3. Wald NJ, Bower C. Folic acid, pernicious anaemia, and prevention of neural tube defects. Lancet. 1994;343(8893):307.
  4. Kado DM, Karlamangla AS, Huang M‐H, et al. Homocysteine versus the vitamins folate, B6, and B12 as predictors of cognitive function and decline in older high‐functioning adults: MacArthur Studies of Successful Aging. Am J Med. 2005;118(2):161167.
  5. D'Anci KE, Rosenberg IH. Folate and brain function in the elderly. Curr Opin Clin Nutr Metab Care. 2004;7(6):659664.
  6. Adunsky A, Arinzon Z, Fidelman Z, Krasniansky I, Arad M, Gepstein R. Plasma homocysteine levels and cognitive status in long‐term stay geriatric patients: a cross‐sectional study. Arch Gerontol Geriatr. 2005;40(2):129138.
  7. Parry TE. Folate responsive neuropathy. Presse Med. 1994;23(3):131137.
  8. Coppen A, Bolander‐Gouaille C. Treatment of depression: time to consider folic acid and vitamin B12. J Psychopharmacol (Oxford). 2005;19(1):5965.
  9. Blount BC, Mack MM, Wehr CM, et al. Folate deficiency causes uracil misincorporation into human DNA and chromosome breakage: implications for cancer and neuronal damage. Proc Natl Acad Sci U S A. 1997;94(7):32903295.
  10. Kim YI, Pogribny IP, Basnakian AG, et al. Folate deficiency in rats induces DNA strand breaks and hypomethylation within the p53 tumor suppressor gene. Am J Clin Nutr. 1997;65(1):4652.
  11. Freudenheim JL, Graham S, Marshall JR, Haughey BP, Cholewinski S, Wilkinson G. Folate intake and carcinogenesis of the colon and rectum. Int J Epidemiol. 1991;20(2):368374.
  12. Kune G, Watson L. Colorectal cancer protective effects and the dietary micronutrients folate, methionine, vitamins B6, B12, C, E, selenium, and lycopene. Nutr Cancer. 2006;56(1):1121.
  13. Giovannucci E, Stampfer MJ, Colditz GA, et al. Multivitamin use, folate, and colon cancer in women in the Nurses' Health Study. Ann Intern Med. 1998;129(7):517524.
  14. Gopinath B, Flood VM, Rochtchina E, Thiagalingam A, Mitchell P. Serum homocysteine and folate but not vitamin B12 are predictors of CHD mortality in older adults [published online ahead of print September 29, 2011]. Eur J Cardiovasc Prev Rehabil. doi: 10.1177/1741826711424568.
  15. Genest JJ, McNamara JR, Salem DN, Wilson PW, Schaefer EJ, Malinow MR. Plasma homocyst(e)ine levels in men with premature coronary artery disease. J Am Coll Cardiol. 1990;16(5):11141119.
  16. Bunout D, Petermann M, Hirsch S, et al. Low serum folate but normal homocysteine levels in patients with atherosclerotic vascular disease and matched healthy controls. Nutrition. 2000;16(6):434438.
  17. Voutilainen S, Lakka TA, Porkkala‐Sarataho E, Rissanen T, Kaplan GA, Salonen JT. Low serum folate concentrations are associated with an excess incidence of acute coronary events: the Kuopio Ischaemic Heart Disease Risk Factor Study. Eur J Clin Nutr. 2000;54(5):424428.
  18. Hernandez‐Diaz S, Martinez‐Losa E, Fernandez‐Jarne E, Serrano‐Martinez M, Martinez‐Gonzalez MA. Dietary folate and the risk of nonfatal myocardial infarction. Epidemiology. 2002;13(6):700706.
  19. Lonn E, Yusuf S, Arnold MJ, et al.;Heart Outcomes Prevention Evaluation (HOPE) 2 Investigators. Homocysteine lowering with folic acid and b vitamins in vascular disease. N Engl J Med. 2006;354(15):15671577.
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  21. Malouf R, Grimley Evans J. Folic acid with or without vitamin B12 for the prevention and treatment of healthy elderly and demented people. Cochrane Database Syst Rev. 2008;(4):CD004514.
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  23. Pfeiffer CM, Caudill SP, Gunter EW, Osterloh J, Sampson EJ. Biochemical indicators of B vitamin status in the US population after folic acid fortification: results from the National Health and Nutrition Examination Survey 1999–2000. Am J Clin Nutr. 2005;82(2):442450.
  24. Robinson AR, Mladenovic J. Lack of clinical utility of folate levels in the evaluation of macrocytosis or anemia. Am J Med. 2001;110(2):8890.
  25. McDowell MA, Lacher DA, Pfeiffer CM, et al. Blood folate levels: the latest NHANES results. NCHS Data Brief. 2008;(6):18.
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  28. Smith DL. Anemia in the elderly. Am Fam Physician. 2000;62(7):15651572.
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Folate deficiency has been associated with a number of medical conditions. It is well established that folate deficiency leads to macrocytic anemia,[1, 2] and that supplementation of folic acid during pregnancy leads to decreased rates of neural tube defects.[3] Folate deficiency has also been hypothesized to affect other conditions including dementia, delirium, peripheral neuropathy, depression, cancer, and cardiovascular disease.[4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] Most of these latter assertions are based on case reports or observational studies, with randomized controlled trials failing to demonstrate benefit of folic acid supplementation.[19, 20, 21]

Prior to mandatory folic acid fortification in the United States, the prevalence of folate deficiency was estimated to be between 3% and 16%.[16, 22, 23] In a study conducted prior to fortification, serum folate levels were evaluated in patients presenting with macrocytosis and anemia.[24] The study found that 2.3% of patients were serum folate deficient, with a change in management occurring in 24% of the deficient patients. The study also found that patients were charged $9979 per result that changed physician management.

In 1998, mandatory folic acid fortification began in the United States, and the prevalence of folate deficiency in the general population decreased to an estimated 0.5%.[23, 25] In a postfortification study, serum folate levels were evaluated in patients with anemia, dementia, or altered mental status.[26] The overall rate of serum folate deficiency was 0.4%, with the authors concluding that there was a lack of utility in serum folate testing. Despite this, algorithms addressing the evaluation of anemia continue to include serum folate levels.[2, 27, 28]

To our knowledge, the use of serum folate testing in the inpatient and emergency department population has never been independently evaluated. In our study, we aimed to characterize the indications, rate of deficiency, charge and cost per deficient result, and change in management per deficient result in inpatient and emergency department serum folate testing. We hypothesized that serum folate testing in these populations would have poor utility and would not be cost‐effective for any indication.

METHODS

We conducted a retrospective review of all serum folate tests ordered in inpatient units and the emergency department at a large academic medical center in Boston, Massachusetts from January 1, 2011 through December 31, 2011. The test was considered to be an inpatient or emergency department test based on the location of the blood draw on which the test was performed. Serum folate values were determined using a chemiluminescent competitive binding protein assay on an E170 analyzer as prescribed by the manufacturer (Roche Diagnostics, Indianapolis, IN). We defined serum folate levels as deficient (3.0 ng/mL), low‐normal (3.0 ng/mL3.9 ng/mL),[26] normal (4.0 ng/mL20.0 ng/mL), and high (>20.0 ng/mL). Erythrocyte folate levels are not routinely ordered at our institution and were not measured in our study.[29] Macrocytosis was defined as mean corpuscular volume of >99 fL. Vitamin B12 deficiency was defined as vitamin B12 level of under 200 pg/mL or vitamin B12 level of 200 to 300 pg/mL, with a methylmalonic acid >270 nmol/L and a normal homocysteine level (514 mol/L).[30, 31]

We evaluated 250 randomly selected serum folate levels and all deficient or low‐normal serum folate levels and recorded indication, comorbidities, age, sex, race or ethnicity, hemoglobin, hematocrit, mean corpuscular volume, vitamin B12 level, folic acid supplement on presentation, and folic acid supplement on discharge. Indications were determined by chart review. If serum folate was checked at the same time as iron studies, it was assumed that the indication was anemia without macrocytosis or anemia with macrocytosis unless otherwise documented. Comorbidities were selected based on historical risk factors and included depression, peripheral neuropathy, intestinal surgery, gastric bypass, cirrhosis, inflammatory bowel disease, celiac disease, delirium, dementia, alcohol abuse, malnutrition, anemia, end‐stage renal disease, vitamin B12 deficiency, or current use of phenytoin, valproic acid, or methotrexate.[32]

A charge analysis was performed using the same methodology as Robinson and Mladenovic.[24] We defined the charge of serum folate testing as our institution's charge to the patient or payer, which was $151.00 per test. Because hospital charges are variable, we also made a second calculation based on the charge per patient or payer from the Robinson and Mladenovic study,[24] which was $71.00. The analytical cost to our hospital of performing each serum folate test was <$2.00. We determined the total charge and cost for all serum folate tests and the charge and cost per deficient result.

The study was reviewed by the institutional review board and determined to be exempt.

RESULTS

In 2011, a total of 2093 serum folate levels were obtained on 1944 inpatients and emergency department patients. Of the total patients, 79.9% were inpatients and 20.1% were emergency department patients. Of the patients with tests performed in the emergency department, 98.1% were admitted to an inpatient unit.

Of the 250 random chart reviews, all had normal or high serum folate levels. The demographics, indications, and comorbidities are listed in Table 1. The most common indications were anemia without macrocytosis (43.2%), anemia with macrocytosis (13.2%; mean corpuscular volume [MCV], 106.8 fL), delirium (12.0%), malnutrition (6.4%), and peripheral neuropathy (6.0%). The other indications included thrombocytopenia, macrocytosis (without anemia), methotrexate use, alcohol abuse, frequent falls, syncope, headache, lethargy, optic nerve neuropathy, paranoia, psychosis, leukopenia, anxiety, and suicidal ideation. All of these individual indications were 2% of total reviewed indications. There were 16 cases (6.4%) without a documented indication.

Demographics, Indications, and Comorbidities
  • NOTE: *Indications total more than 100% as patients may have more than 1 indication.
Age, median, y66.0
Male sex, %50.8
Race or ethnicity, %
White76.0
Black or African American12.0
Asian4.4
Hispanic4.0
Unknown or declined2.0
Other1.6
Indications, %*
Anemia without macrocytosis43.2
Anemia with macrocytosis13.2
Delirium12.0
Malnutrition6.4
Peripheral neuropathy6.0
Depression3.6
Dementia3.2
Pancytopenia2.4
Other10.4
Unknown6.4
Comorbidities, %
Depression23.2
Alcohol abuse18.4
Chronic anemia11.2
Malnutrition9.6
Prior intestinal surgery8.8
Peripheral neuropathy6.0
Dementia5.6
Gastric bypass surgery4.4
End‐stage renal disease4.0
End‐stage liver disease3.6
Use of phenytoin3.2
Inflammatory bowel disease2.4
Use of valproic acid2.0
Celiac disease1.2

Of the 2093 serum folate levels, there were 2 deficient (0.1%), 7 low‐normal (0.3%), 1487 normal (71.1%), and 597 high (28.5%) levels (Table 2). There were 128 patients (6.6%) who had more than 1 serum folate level checked within the prior 12 months, with 1 patient having 5 levels obtained during that time period. All of the deficient and low‐normal serum folate results are listed in Table 3. Of the 9 deficient or low‐normal serum folate levels, 8 had comorbid risk factors for folate deficiency. One of the deficient cases was on folic acid and multivitamin supplementation on presentation, although nonadherence with these supplements was documented in the medical record. The other deficient case was not on folic acid supplementation and did not receive folic acid supplementation for the deficient result. Vitamin B12 levels were checked simultaneously to serum folate levels in 85.2% of cases and within 6 months in 99.2% of cases. Of these patients, 2.0% were found to have vitamin B12 deficiency.

Serum Folate Results
  • NOTE: Abbreviations: MCV, mean corpuscular volume; StDev, standard deviation.
Total tests2093
Total patients1944
Low (%)2 (0.1)
Low‐normal (%)7 (0.3)
Normal (%)1487 (71.0)
High (%)597 (28.5)
MCV (StDev)92.1 (9.2)
Deficient and Low‐Normal Serum Folate Results
 Age, ySexFolate (ng/mL)IndicationComorbiditiesHgb (g/dL)MCV (fL)
  • NOTE: Abbreviations: GI, gastrointestinal; Hgb, hemoglobin; HIV, human immunodeficiency virus; MCV, mean corpuscular volume.
Deficient results
Case 135Male2.6Stroke workupPhenytoin, depression16.091
Case 263Male2.9Macrocytic anemiaAlcohol abuse, acute GI bleed7.7119
Low‐normal results
Case 364Male3.3Macrocytic anemiaCirrhosis, alcohol abuse12.3109
Case 442Male3.4PancytopeniaHIV, B12 deficiency7.593
Case 558Male3.4DepressionDepression, alcohol abuse13.898
Case 656Female3.5DepressionAlcohol abuse  
Case 785Male3.6DeliriumDepression10.591
Case 881Female3.6AnemiaChronic anemia9.195
Case 963Male3.9AnemiaChronic anemia, malnutrition7.688

Based on our institution's charge for serum folate, a total of $316,043 was charged for the 2093 serum folate tests. The amount charged per deficient result was $158,022. Substituting the charge from the Robinson and Mladenovic study,[24] we calculated the corresponding total charge and charge per deficient result as $149,545 and $74,772, respectively. The actual total cost to our hospital was <$4186, with a cost per deficient test of <$2093.

DISCUSSION

Serum folate levels are often obtained when evaluating anemia without macrocytosis and anemia with macrocytosis.[2] They are also frequently obtained in the evaluation of delirium and dementia. A prior study evaluated both inpatient and outpatient serum folate levels in anemia, dementia, and altered mental status and found only 0.4% of serum folate results to be deficient.[26] In their study, the indications for serum folate tests were anemia or macrocytic anemia (60%) and dementia or altered mental status (30%).

We found the indications for serum folate testing in inpatients and emergency department patients to be different than prior studies. The majority of tests were done to evaluate anemia without macrocytosis (43.2%) or anemia with macrocytosis (13.2%). Lower percentages were done for the evaluation of delirium (12.0%) or dementia (3.2%). In addition, there were multiple indications that have not been noted in previous studies, including depression, peripheral neuropathy, malnutrition, pancytopenia, and others. These accounted for 28.0% of all indications. The reason for the difference in indications compared to prior studies is unknown but may be related to our cohort of exclusively inpatients and emergency department patients. Also, we observed a high concurrence of serum folate and vitamin B12 testing, with 85.2% of serum folate levels ordered at the same time as vitamin B12 levels. It appears that the tests are often ordered together even when the indication suggests that vitamin B12 alone may be more appropriate, such as peripheral neuropathy.

We found that serum folate deficiency was rare, occurring in only 2 of 2093 results. Furthermore, the deficient serum folate results may have been checked for inappropriate indications. The first deficient result was noted as part of a stroke workup in a patient not taking folic acid supplementation. Current guidelines do not recommend serum folate testing in patients with new stroke.[33] In the second deficient case, serum folate testing was performed for evaluation of macrocytic anemia with an MCV of 119 fL. Although reasonable, this was an alcoholic patient presenting with acute gastrointestinal bleeding already on folic acid and multivitamin supplementation and known nonadherence with these supplements. In neither case was there a change in management based on the deficient result.

Given the low rate of serum folate deficiency and the lack of change in management based on deficient results, we conclude that there is a low utility of serum folate testing for any indication in inpatients and emergency department patients in folic acid‐fortified countries. Based on prior studies, and supported by our results, there is no evidence for checking serum folate levels in delirium, dementia, peripheral neuropathy, malnutrition, or any of the other indications. In addition, our results demonstrate a low utility even in patients with anemia or macrocytic anemia.

The rate of serum folate deficiency in our study was significantly lower than prior studies.[24, 26] There may have been geographical factors that led to a lower prevalence of folate deficiency in our study population. Our cohort included inpatients and emergency department patients, whereas previous studies had a majority of outpatients. It is known that serum folate levels can rapidly fluctuate with proper nutrition.[34] It may be that our patients received nutrition in the hospital that corrected serum folate levels prior to laboratory testing.

In addition to the low utility of serum folate testing, the charge per deficient result in our study ($158,022) was more than 100‐fold higher than that in the Robinson and Mladenovic study ($1321).[24] Even when correcting for variability in hospital charges by using the charge from the latter study, the charge per deficient serum folate test remained 50‐fold higher ($74,772). This implies that the increase in charge per deficient result was driven in part by a decreased rate of deficient tests. Folic acid fortification is likely responsible for some of the decrease. However, we believe another source is the excessive ordering of serum folate tests in patients without previously accepted indications. Because no change in management was made for the deficient patients in our study, the charge per serum folate deficient result that changed management approached infinity. This compares to $9979 in the Robinson and Mladenovic analysis.[24]

The cost to the hospital of a serum folate test was much lower than the charge, and estimated to be <$2093 per deficient result. Because serum folate tests are performed on a highly automated, random access analyzer that performs thousands of other measurements daily, the capital and labor costs for each test was well below $0.50 combined. With the addition of reagent costs, our total cost for each serum folate measurement was <$2.00. It is somewhat difficult to extrapolate these values to other hospitals, as exact costs and charges are variable. Nonetheless, the exceptionally low utility of serum folate testing makes the costs associated with these tests excessive.

Our study has several limitations. We conducted our study at a single institution in a country with mandatory folic acid fortification. Our results may not be generalizable to other institutions or patient populations, such as those in countries without mandatory folic acid fortification. Only 259 (12.4%) charts were reviewed, and indications were determined in 93.6% of charts, which may have caused our frequency to vary from the true frequency. Additionally, the low rate of deficient serum folate results limited our ability to identify associations with deficiency. Further evaluation for geographic variations of serum folate deficiency may reveal variable rates.

We conclude that in folic acid fortified countries, the rate of serum folate deficiency is increasingly rare, and the charge to patients and payers per deficient result is exceptionally high. In addition, testing in our study did not change clinical management, which makes the costs associated with these test wasteful. Further evaluation of serum folate testing of inpatients and emergency department patients in folic acid fortified countries is warranted; however, based on our results the utility appears poor for all indications.

Disclosure

Nothing to report.

Folate deficiency has been associated with a number of medical conditions. It is well established that folate deficiency leads to macrocytic anemia,[1, 2] and that supplementation of folic acid during pregnancy leads to decreased rates of neural tube defects.[3] Folate deficiency has also been hypothesized to affect other conditions including dementia, delirium, peripheral neuropathy, depression, cancer, and cardiovascular disease.[4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] Most of these latter assertions are based on case reports or observational studies, with randomized controlled trials failing to demonstrate benefit of folic acid supplementation.[19, 20, 21]

Prior to mandatory folic acid fortification in the United States, the prevalence of folate deficiency was estimated to be between 3% and 16%.[16, 22, 23] In a study conducted prior to fortification, serum folate levels were evaluated in patients presenting with macrocytosis and anemia.[24] The study found that 2.3% of patients were serum folate deficient, with a change in management occurring in 24% of the deficient patients. The study also found that patients were charged $9979 per result that changed physician management.

In 1998, mandatory folic acid fortification began in the United States, and the prevalence of folate deficiency in the general population decreased to an estimated 0.5%.[23, 25] In a postfortification study, serum folate levels were evaluated in patients with anemia, dementia, or altered mental status.[26] The overall rate of serum folate deficiency was 0.4%, with the authors concluding that there was a lack of utility in serum folate testing. Despite this, algorithms addressing the evaluation of anemia continue to include serum folate levels.[2, 27, 28]

To our knowledge, the use of serum folate testing in the inpatient and emergency department population has never been independently evaluated. In our study, we aimed to characterize the indications, rate of deficiency, charge and cost per deficient result, and change in management per deficient result in inpatient and emergency department serum folate testing. We hypothesized that serum folate testing in these populations would have poor utility and would not be cost‐effective for any indication.

METHODS

We conducted a retrospective review of all serum folate tests ordered in inpatient units and the emergency department at a large academic medical center in Boston, Massachusetts from January 1, 2011 through December 31, 2011. The test was considered to be an inpatient or emergency department test based on the location of the blood draw on which the test was performed. Serum folate values were determined using a chemiluminescent competitive binding protein assay on an E170 analyzer as prescribed by the manufacturer (Roche Diagnostics, Indianapolis, IN). We defined serum folate levels as deficient (3.0 ng/mL), low‐normal (3.0 ng/mL3.9 ng/mL),[26] normal (4.0 ng/mL20.0 ng/mL), and high (>20.0 ng/mL). Erythrocyte folate levels are not routinely ordered at our institution and were not measured in our study.[29] Macrocytosis was defined as mean corpuscular volume of >99 fL. Vitamin B12 deficiency was defined as vitamin B12 level of under 200 pg/mL or vitamin B12 level of 200 to 300 pg/mL, with a methylmalonic acid >270 nmol/L and a normal homocysteine level (514 mol/L).[30, 31]

We evaluated 250 randomly selected serum folate levels and all deficient or low‐normal serum folate levels and recorded indication, comorbidities, age, sex, race or ethnicity, hemoglobin, hematocrit, mean corpuscular volume, vitamin B12 level, folic acid supplement on presentation, and folic acid supplement on discharge. Indications were determined by chart review. If serum folate was checked at the same time as iron studies, it was assumed that the indication was anemia without macrocytosis or anemia with macrocytosis unless otherwise documented. Comorbidities were selected based on historical risk factors and included depression, peripheral neuropathy, intestinal surgery, gastric bypass, cirrhosis, inflammatory bowel disease, celiac disease, delirium, dementia, alcohol abuse, malnutrition, anemia, end‐stage renal disease, vitamin B12 deficiency, or current use of phenytoin, valproic acid, or methotrexate.[32]

A charge analysis was performed using the same methodology as Robinson and Mladenovic.[24] We defined the charge of serum folate testing as our institution's charge to the patient or payer, which was $151.00 per test. Because hospital charges are variable, we also made a second calculation based on the charge per patient or payer from the Robinson and Mladenovic study,[24] which was $71.00. The analytical cost to our hospital of performing each serum folate test was <$2.00. We determined the total charge and cost for all serum folate tests and the charge and cost per deficient result.

The study was reviewed by the institutional review board and determined to be exempt.

RESULTS

In 2011, a total of 2093 serum folate levels were obtained on 1944 inpatients and emergency department patients. Of the total patients, 79.9% were inpatients and 20.1% were emergency department patients. Of the patients with tests performed in the emergency department, 98.1% were admitted to an inpatient unit.

Of the 250 random chart reviews, all had normal or high serum folate levels. The demographics, indications, and comorbidities are listed in Table 1. The most common indications were anemia without macrocytosis (43.2%), anemia with macrocytosis (13.2%; mean corpuscular volume [MCV], 106.8 fL), delirium (12.0%), malnutrition (6.4%), and peripheral neuropathy (6.0%). The other indications included thrombocytopenia, macrocytosis (without anemia), methotrexate use, alcohol abuse, frequent falls, syncope, headache, lethargy, optic nerve neuropathy, paranoia, psychosis, leukopenia, anxiety, and suicidal ideation. All of these individual indications were 2% of total reviewed indications. There were 16 cases (6.4%) without a documented indication.

Demographics, Indications, and Comorbidities
  • NOTE: *Indications total more than 100% as patients may have more than 1 indication.
Age, median, y66.0
Male sex, %50.8
Race or ethnicity, %
White76.0
Black or African American12.0
Asian4.4
Hispanic4.0
Unknown or declined2.0
Other1.6
Indications, %*
Anemia without macrocytosis43.2
Anemia with macrocytosis13.2
Delirium12.0
Malnutrition6.4
Peripheral neuropathy6.0
Depression3.6
Dementia3.2
Pancytopenia2.4
Other10.4
Unknown6.4
Comorbidities, %
Depression23.2
Alcohol abuse18.4
Chronic anemia11.2
Malnutrition9.6
Prior intestinal surgery8.8
Peripheral neuropathy6.0
Dementia5.6
Gastric bypass surgery4.4
End‐stage renal disease4.0
End‐stage liver disease3.6
Use of phenytoin3.2
Inflammatory bowel disease2.4
Use of valproic acid2.0
Celiac disease1.2

Of the 2093 serum folate levels, there were 2 deficient (0.1%), 7 low‐normal (0.3%), 1487 normal (71.1%), and 597 high (28.5%) levels (Table 2). There were 128 patients (6.6%) who had more than 1 serum folate level checked within the prior 12 months, with 1 patient having 5 levels obtained during that time period. All of the deficient and low‐normal serum folate results are listed in Table 3. Of the 9 deficient or low‐normal serum folate levels, 8 had comorbid risk factors for folate deficiency. One of the deficient cases was on folic acid and multivitamin supplementation on presentation, although nonadherence with these supplements was documented in the medical record. The other deficient case was not on folic acid supplementation and did not receive folic acid supplementation for the deficient result. Vitamin B12 levels were checked simultaneously to serum folate levels in 85.2% of cases and within 6 months in 99.2% of cases. Of these patients, 2.0% were found to have vitamin B12 deficiency.

Serum Folate Results
  • NOTE: Abbreviations: MCV, mean corpuscular volume; StDev, standard deviation.
Total tests2093
Total patients1944
Low (%)2 (0.1)
Low‐normal (%)7 (0.3)
Normal (%)1487 (71.0)
High (%)597 (28.5)
MCV (StDev)92.1 (9.2)
Deficient and Low‐Normal Serum Folate Results
 Age, ySexFolate (ng/mL)IndicationComorbiditiesHgb (g/dL)MCV (fL)
  • NOTE: Abbreviations: GI, gastrointestinal; Hgb, hemoglobin; HIV, human immunodeficiency virus; MCV, mean corpuscular volume.
Deficient results
Case 135Male2.6Stroke workupPhenytoin, depression16.091
Case 263Male2.9Macrocytic anemiaAlcohol abuse, acute GI bleed7.7119
Low‐normal results
Case 364Male3.3Macrocytic anemiaCirrhosis, alcohol abuse12.3109
Case 442Male3.4PancytopeniaHIV, B12 deficiency7.593
Case 558Male3.4DepressionDepression, alcohol abuse13.898
Case 656Female3.5DepressionAlcohol abuse  
Case 785Male3.6DeliriumDepression10.591
Case 881Female3.6AnemiaChronic anemia9.195
Case 963Male3.9AnemiaChronic anemia, malnutrition7.688

Based on our institution's charge for serum folate, a total of $316,043 was charged for the 2093 serum folate tests. The amount charged per deficient result was $158,022. Substituting the charge from the Robinson and Mladenovic study,[24] we calculated the corresponding total charge and charge per deficient result as $149,545 and $74,772, respectively. The actual total cost to our hospital was <$4186, with a cost per deficient test of <$2093.

DISCUSSION

Serum folate levels are often obtained when evaluating anemia without macrocytosis and anemia with macrocytosis.[2] They are also frequently obtained in the evaluation of delirium and dementia. A prior study evaluated both inpatient and outpatient serum folate levels in anemia, dementia, and altered mental status and found only 0.4% of serum folate results to be deficient.[26] In their study, the indications for serum folate tests were anemia or macrocytic anemia (60%) and dementia or altered mental status (30%).

We found the indications for serum folate testing in inpatients and emergency department patients to be different than prior studies. The majority of tests were done to evaluate anemia without macrocytosis (43.2%) or anemia with macrocytosis (13.2%). Lower percentages were done for the evaluation of delirium (12.0%) or dementia (3.2%). In addition, there were multiple indications that have not been noted in previous studies, including depression, peripheral neuropathy, malnutrition, pancytopenia, and others. These accounted for 28.0% of all indications. The reason for the difference in indications compared to prior studies is unknown but may be related to our cohort of exclusively inpatients and emergency department patients. Also, we observed a high concurrence of serum folate and vitamin B12 testing, with 85.2% of serum folate levels ordered at the same time as vitamin B12 levels. It appears that the tests are often ordered together even when the indication suggests that vitamin B12 alone may be more appropriate, such as peripheral neuropathy.

We found that serum folate deficiency was rare, occurring in only 2 of 2093 results. Furthermore, the deficient serum folate results may have been checked for inappropriate indications. The first deficient result was noted as part of a stroke workup in a patient not taking folic acid supplementation. Current guidelines do not recommend serum folate testing in patients with new stroke.[33] In the second deficient case, serum folate testing was performed for evaluation of macrocytic anemia with an MCV of 119 fL. Although reasonable, this was an alcoholic patient presenting with acute gastrointestinal bleeding already on folic acid and multivitamin supplementation and known nonadherence with these supplements. In neither case was there a change in management based on the deficient result.

Given the low rate of serum folate deficiency and the lack of change in management based on deficient results, we conclude that there is a low utility of serum folate testing for any indication in inpatients and emergency department patients in folic acid‐fortified countries. Based on prior studies, and supported by our results, there is no evidence for checking serum folate levels in delirium, dementia, peripheral neuropathy, malnutrition, or any of the other indications. In addition, our results demonstrate a low utility even in patients with anemia or macrocytic anemia.

The rate of serum folate deficiency in our study was significantly lower than prior studies.[24, 26] There may have been geographical factors that led to a lower prevalence of folate deficiency in our study population. Our cohort included inpatients and emergency department patients, whereas previous studies had a majority of outpatients. It is known that serum folate levels can rapidly fluctuate with proper nutrition.[34] It may be that our patients received nutrition in the hospital that corrected serum folate levels prior to laboratory testing.

In addition to the low utility of serum folate testing, the charge per deficient result in our study ($158,022) was more than 100‐fold higher than that in the Robinson and Mladenovic study ($1321).[24] Even when correcting for variability in hospital charges by using the charge from the latter study, the charge per deficient serum folate test remained 50‐fold higher ($74,772). This implies that the increase in charge per deficient result was driven in part by a decreased rate of deficient tests. Folic acid fortification is likely responsible for some of the decrease. However, we believe another source is the excessive ordering of serum folate tests in patients without previously accepted indications. Because no change in management was made for the deficient patients in our study, the charge per serum folate deficient result that changed management approached infinity. This compares to $9979 in the Robinson and Mladenovic analysis.[24]

The cost to the hospital of a serum folate test was much lower than the charge, and estimated to be <$2093 per deficient result. Because serum folate tests are performed on a highly automated, random access analyzer that performs thousands of other measurements daily, the capital and labor costs for each test was well below $0.50 combined. With the addition of reagent costs, our total cost for each serum folate measurement was <$2.00. It is somewhat difficult to extrapolate these values to other hospitals, as exact costs and charges are variable. Nonetheless, the exceptionally low utility of serum folate testing makes the costs associated with these tests excessive.

Our study has several limitations. We conducted our study at a single institution in a country with mandatory folic acid fortification. Our results may not be generalizable to other institutions or patient populations, such as those in countries without mandatory folic acid fortification. Only 259 (12.4%) charts were reviewed, and indications were determined in 93.6% of charts, which may have caused our frequency to vary from the true frequency. Additionally, the low rate of deficient serum folate results limited our ability to identify associations with deficiency. Further evaluation for geographic variations of serum folate deficiency may reveal variable rates.

We conclude that in folic acid fortified countries, the rate of serum folate deficiency is increasingly rare, and the charge to patients and payers per deficient result is exceptionally high. In addition, testing in our study did not change clinical management, which makes the costs associated with these test wasteful. Further evaluation of serum folate testing of inpatients and emergency department patients in folic acid fortified countries is warranted; however, based on our results the utility appears poor for all indications.

Disclosure

Nothing to report.

References
  1. Tefferi A, Pruthi RK. The biochemical basis of cobalamin deficiency. Mayo Clin Proc. 1994;69(2):181186.
  2. Kasper DL, Braunwald E, Longo D, et al. Harrison's Principles of Internal Medicine. New York, NY:McGraw‐Hill Professional;2004.
  3. Wald NJ, Bower C. Folic acid, pernicious anaemia, and prevention of neural tube defects. Lancet. 1994;343(8893):307.
  4. Kado DM, Karlamangla AS, Huang M‐H, et al. Homocysteine versus the vitamins folate, B6, and B12 as predictors of cognitive function and decline in older high‐functioning adults: MacArthur Studies of Successful Aging. Am J Med. 2005;118(2):161167.
  5. D'Anci KE, Rosenberg IH. Folate and brain function in the elderly. Curr Opin Clin Nutr Metab Care. 2004;7(6):659664.
  6. Adunsky A, Arinzon Z, Fidelman Z, Krasniansky I, Arad M, Gepstein R. Plasma homocysteine levels and cognitive status in long‐term stay geriatric patients: a cross‐sectional study. Arch Gerontol Geriatr. 2005;40(2):129138.
  7. Parry TE. Folate responsive neuropathy. Presse Med. 1994;23(3):131137.
  8. Coppen A, Bolander‐Gouaille C. Treatment of depression: time to consider folic acid and vitamin B12. J Psychopharmacol (Oxford). 2005;19(1):5965.
  9. Blount BC, Mack MM, Wehr CM, et al. Folate deficiency causes uracil misincorporation into human DNA and chromosome breakage: implications for cancer and neuronal damage. Proc Natl Acad Sci U S A. 1997;94(7):32903295.
  10. Kim YI, Pogribny IP, Basnakian AG, et al. Folate deficiency in rats induces DNA strand breaks and hypomethylation within the p53 tumor suppressor gene. Am J Clin Nutr. 1997;65(1):4652.
  11. Freudenheim JL, Graham S, Marshall JR, Haughey BP, Cholewinski S, Wilkinson G. Folate intake and carcinogenesis of the colon and rectum. Int J Epidemiol. 1991;20(2):368374.
  12. Kune G, Watson L. Colorectal cancer protective effects and the dietary micronutrients folate, methionine, vitamins B6, B12, C, E, selenium, and lycopene. Nutr Cancer. 2006;56(1):1121.
  13. Giovannucci E, Stampfer MJ, Colditz GA, et al. Multivitamin use, folate, and colon cancer in women in the Nurses' Health Study. Ann Intern Med. 1998;129(7):517524.
  14. Gopinath B, Flood VM, Rochtchina E, Thiagalingam A, Mitchell P. Serum homocysteine and folate but not vitamin B12 are predictors of CHD mortality in older adults [published online ahead of print September 29, 2011]. Eur J Cardiovasc Prev Rehabil. doi: 10.1177/1741826711424568.
  15. Genest JJ, McNamara JR, Salem DN, Wilson PW, Schaefer EJ, Malinow MR. Plasma homocyst(e)ine levels in men with premature coronary artery disease. J Am Coll Cardiol. 1990;16(5):11141119.
  16. Bunout D, Petermann M, Hirsch S, et al. Low serum folate but normal homocysteine levels in patients with atherosclerotic vascular disease and matched healthy controls. Nutrition. 2000;16(6):434438.
  17. Voutilainen S, Lakka TA, Porkkala‐Sarataho E, Rissanen T, Kaplan GA, Salonen JT. Low serum folate concentrations are associated with an excess incidence of acute coronary events: the Kuopio Ischaemic Heart Disease Risk Factor Study. Eur J Clin Nutr. 2000;54(5):424428.
  18. Hernandez‐Diaz S, Martinez‐Losa E, Fernandez‐Jarne E, Serrano‐Martinez M, Martinez‐Gonzalez MA. Dietary folate and the risk of nonfatal myocardial infarction. Epidemiology. 2002;13(6):700706.
  19. Lonn E, Yusuf S, Arnold MJ, et al.;Heart Outcomes Prevention Evaluation (HOPE) 2 Investigators. Homocysteine lowering with folic acid and b vitamins in vascular disease. N Engl J Med. 2006;354(15):15671577.
  20. McMahon JA, Green TJ, Skeaff CM, Knight RG, Mann JI, Williams SM. A controlled trial of homocysteine lowering and cognitive performance. N Engl J Med. 2006;354(26):27642772.
  21. Malouf R, Grimley Evans J. Folic acid with or without vitamin B12 for the prevention and treatment of healthy elderly and demented people. Cochrane Database Syst Rev. 2008;(4):CD004514.
  22. Seward SJ, Safran C, Marton KI, Robinson SH. Does the mean corpuscular volume help physicians evaluate hospitalized patients with anemia?J Gen Intern Med. 1990;5(3):187191.
  23. Pfeiffer CM, Caudill SP, Gunter EW, Osterloh J, Sampson EJ. Biochemical indicators of B vitamin status in the US population after folic acid fortification: results from the National Health and Nutrition Examination Survey 1999–2000. Am J Clin Nutr. 2005;82(2):442450.
  24. Robinson AR, Mladenovic J. Lack of clinical utility of folate levels in the evaluation of macrocytosis or anemia. Am J Med. 2001;110(2):8890.
  25. McDowell MA, Lacher DA, Pfeiffer CM, et al. Blood folate levels: the latest NHANES results. NCHS Data Brief. 2008;(6):18.
  26. Ashraf MJ, Cook JR, Rothberg MB. Clinical utility of folic acid testing for patients with anemia or dementia. J Gen Intern Med. 2008;23(6):824826.
  27. Tefferi A. Anemia in adults: a contemporary approach to diagnosis. Mayo Clin Proc 2003;78(10):12741280.
  28. Smith DL. Anemia in the elderly. Am Fam Physician. 2000;62(7):15651572.
  29. Galloway M, Rushworth L. Red cell or serum folate? Results from the National Pathology Alliance benchmarking review. J Clin Pathol. 2003;56(12):924926.
  30. Hoffman R, Benz E, Silberstein LE, Heslop H, Weitz J, Anastasi J. Hematology. Philadelphia, PA:Churchill Livingstone;2012.
  31. Savage DG, Lindenbaum J, Stabler SP, Allen RH. Sensitivity of serum methylmalonic acid and total homocysteine determinations for diagnosing cobalamin and folate deficiencies. Am J Med. 1994;96(3):239246.
  32. Snow CF. Laboratory diagnosis of vitamin B12 and folate deficiency: a guide for the primary care physician. Arch Intern Med. 1999;159(12):12891298.
  33. Adams HP, del Zoppo G, Alberts MJ, et al. Guidelines for the early management of adults with ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: the American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. Stroke. 2007;38(5):16551711.
  34. Verwei M, Freidig AP, Havenaar R, Groten JP. Predicted serum folate concentrations based on in vitro studies and kinetic modeling are consistent with measured folate concentrations in humans. J Nutr. 2006;136(12):30743078.
References
  1. Tefferi A, Pruthi RK. The biochemical basis of cobalamin deficiency. Mayo Clin Proc. 1994;69(2):181186.
  2. Kasper DL, Braunwald E, Longo D, et al. Harrison's Principles of Internal Medicine. New York, NY:McGraw‐Hill Professional;2004.
  3. Wald NJ, Bower C. Folic acid, pernicious anaemia, and prevention of neural tube defects. Lancet. 1994;343(8893):307.
  4. Kado DM, Karlamangla AS, Huang M‐H, et al. Homocysteine versus the vitamins folate, B6, and B12 as predictors of cognitive function and decline in older high‐functioning adults: MacArthur Studies of Successful Aging. Am J Med. 2005;118(2):161167.
  5. D'Anci KE, Rosenberg IH. Folate and brain function in the elderly. Curr Opin Clin Nutr Metab Care. 2004;7(6):659664.
  6. Adunsky A, Arinzon Z, Fidelman Z, Krasniansky I, Arad M, Gepstein R. Plasma homocysteine levels and cognitive status in long‐term stay geriatric patients: a cross‐sectional study. Arch Gerontol Geriatr. 2005;40(2):129138.
  7. Parry TE. Folate responsive neuropathy. Presse Med. 1994;23(3):131137.
  8. Coppen A, Bolander‐Gouaille C. Treatment of depression: time to consider folic acid and vitamin B12. J Psychopharmacol (Oxford). 2005;19(1):5965.
  9. Blount BC, Mack MM, Wehr CM, et al. Folate deficiency causes uracil misincorporation into human DNA and chromosome breakage: implications for cancer and neuronal damage. Proc Natl Acad Sci U S A. 1997;94(7):32903295.
  10. Kim YI, Pogribny IP, Basnakian AG, et al. Folate deficiency in rats induces DNA strand breaks and hypomethylation within the p53 tumor suppressor gene. Am J Clin Nutr. 1997;65(1):4652.
  11. Freudenheim JL, Graham S, Marshall JR, Haughey BP, Cholewinski S, Wilkinson G. Folate intake and carcinogenesis of the colon and rectum. Int J Epidemiol. 1991;20(2):368374.
  12. Kune G, Watson L. Colorectal cancer protective effects and the dietary micronutrients folate, methionine, vitamins B6, B12, C, E, selenium, and lycopene. Nutr Cancer. 2006;56(1):1121.
  13. Giovannucci E, Stampfer MJ, Colditz GA, et al. Multivitamin use, folate, and colon cancer in women in the Nurses' Health Study. Ann Intern Med. 1998;129(7):517524.
  14. Gopinath B, Flood VM, Rochtchina E, Thiagalingam A, Mitchell P. Serum homocysteine and folate but not vitamin B12 are predictors of CHD mortality in older adults [published online ahead of print September 29, 2011]. Eur J Cardiovasc Prev Rehabil. doi: 10.1177/1741826711424568.
  15. Genest JJ, McNamara JR, Salem DN, Wilson PW, Schaefer EJ, Malinow MR. Plasma homocyst(e)ine levels in men with premature coronary artery disease. J Am Coll Cardiol. 1990;16(5):11141119.
  16. Bunout D, Petermann M, Hirsch S, et al. Low serum folate but normal homocysteine levels in patients with atherosclerotic vascular disease and matched healthy controls. Nutrition. 2000;16(6):434438.
  17. Voutilainen S, Lakka TA, Porkkala‐Sarataho E, Rissanen T, Kaplan GA, Salonen JT. Low serum folate concentrations are associated with an excess incidence of acute coronary events: the Kuopio Ischaemic Heart Disease Risk Factor Study. Eur J Clin Nutr. 2000;54(5):424428.
  18. Hernandez‐Diaz S, Martinez‐Losa E, Fernandez‐Jarne E, Serrano‐Martinez M, Martinez‐Gonzalez MA. Dietary folate and the risk of nonfatal myocardial infarction. Epidemiology. 2002;13(6):700706.
  19. Lonn E, Yusuf S, Arnold MJ, et al.;Heart Outcomes Prevention Evaluation (HOPE) 2 Investigators. Homocysteine lowering with folic acid and b vitamins in vascular disease. N Engl J Med. 2006;354(15):15671577.
  20. McMahon JA, Green TJ, Skeaff CM, Knight RG, Mann JI, Williams SM. A controlled trial of homocysteine lowering and cognitive performance. N Engl J Med. 2006;354(26):27642772.
  21. Malouf R, Grimley Evans J. Folic acid with or without vitamin B12 for the prevention and treatment of healthy elderly and demented people. Cochrane Database Syst Rev. 2008;(4):CD004514.
  22. Seward SJ, Safran C, Marton KI, Robinson SH. Does the mean corpuscular volume help physicians evaluate hospitalized patients with anemia?J Gen Intern Med. 1990;5(3):187191.
  23. Pfeiffer CM, Caudill SP, Gunter EW, Osterloh J, Sampson EJ. Biochemical indicators of B vitamin status in the US population after folic acid fortification: results from the National Health and Nutrition Examination Survey 1999–2000. Am J Clin Nutr. 2005;82(2):442450.
  24. Robinson AR, Mladenovic J. Lack of clinical utility of folate levels in the evaluation of macrocytosis or anemia. Am J Med. 2001;110(2):8890.
  25. McDowell MA, Lacher DA, Pfeiffer CM, et al. Blood folate levels: the latest NHANES results. NCHS Data Brief. 2008;(6):18.
  26. Ashraf MJ, Cook JR, Rothberg MB. Clinical utility of folic acid testing for patients with anemia or dementia. J Gen Intern Med. 2008;23(6):824826.
  27. Tefferi A. Anemia in adults: a contemporary approach to diagnosis. Mayo Clin Proc 2003;78(10):12741280.
  28. Smith DL. Anemia in the elderly. Am Fam Physician. 2000;62(7):15651572.
  29. Galloway M, Rushworth L. Red cell or serum folate? Results from the National Pathology Alliance benchmarking review. J Clin Pathol. 2003;56(12):924926.
  30. Hoffman R, Benz E, Silberstein LE, Heslop H, Weitz J, Anastasi J. Hematology. Philadelphia, PA:Churchill Livingstone;2012.
  31. Savage DG, Lindenbaum J, Stabler SP, Allen RH. Sensitivity of serum methylmalonic acid and total homocysteine determinations for diagnosing cobalamin and folate deficiencies. Am J Med. 1994;96(3):239246.
  32. Snow CF. Laboratory diagnosis of vitamin B12 and folate deficiency: a guide for the primary care physician. Arch Intern Med. 1999;159(12):12891298.
  33. Adams HP, del Zoppo G, Alberts MJ, et al. Guidelines for the early management of adults with ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: the American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. Stroke. 2007;38(5):16551711.
  34. Verwei M, Freidig AP, Havenaar R, Groten JP. Predicted serum folate concentrations based on in vitro studies and kinetic modeling are consistent with measured folate concentrations in humans. J Nutr. 2006;136(12):30743078.
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Address for correspondence and reprint requests: Jesse Theisen‐Toupal, MD, Instructor in Medicine, Division of General Medicine and Primary Care, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue PBS‐2, Boston, MA 02215; Telephone: 617‐754‐4677; Fax: 617‐632‐0215; E‐mail: [email protected]
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“I'm Talking About Pain”

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“I'm Talking About Pain”: Sickle cell disease patients with extremely high hospital use

Sickle cell disease (SCD) accounts for approximately 113,000 hospital admissions annually in the United States, at a cost of approximately $500 million.1 The majority of these hospital admissions are due to painful episodes, vaso‐occlusive crises, often triggered by a psychological or physical stressor.2 Most individuals manage these crises at home,3 with sporadic admissions occurring, on average, 1.5 times per year.4 However, a minority of patients are admitted as often as several times per month, persistent over successive years,5, 6 a phenomenon we call extremely high hospital use (EHHU). These patients account for a disproportionate share of total costs, and may suffer worse health outcomes. Three or more hospital admissions per year has been correlated with a lower 5‐year survival rate,7 and high emergency room utilization was found to be associated with more reported pain, and more opioid use at home.8

To improve patient quality of life and to decrease healthcare costs in the management of SCD, there has been increased focus on predicting high utilization9 and identifying strategies to decrease hospitalization rates, especially among patients with EHHU.10 Although SCD patients with EHHU have been identified as a small group of outliers,5 the psychosocial factors associated with EHHU in adults with SCD have not been investigated. The objective of this qualitative study is to characterize the subjective experience of patients with sickle cell disease and EHHU, and generate hypotheses about its antecedents and consequences.

METHODS

The institutional review board (IRB) of Yale University School of Medicine, New Haven, CT, approved the research protocol.

Participants

We accessed the Yale‐New Haven Hospital administrative database to identify the number of patients with SCD who demonstrated EHHU that did not remit over successive years.5 We identified the 10 highest inpatient utilizing individuals with sickle cell disease over the period January 1, 2008December 31, 2010; 8 individuals consented to participate. We collected the following data on each participant through chart review: hemoglobinopathy, length of stay, primary diagnosis for each admission, and SCD‐related comorbidities (eg, avascular necrosis, leg ulcer, etc). No research team member was involved in the care of any of the participants.

Interviews

Based on literature review of other qualitative research in SCD, we created an interview guide to include the following themes: 1) disease, pain, and medication; 2) hospitalization; 3) support structures; 4) daily life; and 5) personal relationships (see Supporting Information, Appendix I, in the online version of this article). Applying Grounded Theory in qualitative research, the interview guide underwent several minor modifications based on field‐testing interviews with 4 interviews of patients not enrolled in the study and early interviews with study participants.11 Tape‐recorded interviews, each lasting at least an hour,12 were conducted by 1 researcher (D.W.) during inpatient hospitalizations, at least several days after admission to ensure that participants were comfortable enough to participate. When the interview exceeded an hour, it was continued at a later time. Recordings were transcribed by a professional transcription service and verified for accuracy by the interviewer. Participants were compensated $25 for completed interviews.

Narrative Analysis

The analysis team consisted of 2 psychiatrists (1 with additional training in internal medicine), 1 medical student, and 1 internist with additional training in addiction medicine. Analysts read each transcript, became thoroughly familiar with its content, and met to discuss preliminary findings. Then, we created patient experts among the group, assigning each analyst 2 interviews with which s/he prepared a detailed summary in the first person, using the participant's own words, according to an established process in phenomenological research13 (Figure 1). These narrative summaries allowed for the development of a holistic view of the participant, the creation of a narrative structure, and the fostering of an empathic bridge,13 a connection between the experiences of the participant and those of the reviewer. The summaries were read aloud at research meetings allowing for discussion, and the content of the summaries were modified based on the consensus of the group.

Figure 1
Narrative and analysis model.13

Next, we randomly rotated the narrative summaries so that each of the 4 analysts became an expert for 2 additional participants in order to critically evaluate the compiled narratives, and develop a structural summary14a summary of the prevalent themes. We extracted content from the narrative summaries based on these common themes, and returned to the transcripts as needed for relevant quotations. This inductive process allowed unique participant narratives to come through unconstrained by a predetermined coding structure.

The team reached consensus on organizing themes following the chronology of childhood to adulthood. This model was utilized to preserve the narrative basis of the methodology, and to ultimately elucidate the antecedents, subjective experience, and consequences of EHHU. An audit trail was maintained throughout the data analysis process.

RESULTS

Table 1 displays demographic, clinical, and hospitalization data for the 8 participants. These patients represented approximately 8% of the population with sickle cell disease at the study institution, but accounted for 57% of hospital days among sickle cell disease patients over a 3‐year period, with cumulative hospital days near or above 100 days per patient each year. Greater than 90% of admissions were for vaso‐occlusive crises without other SCD‐related complications. However, many participants had complicated medical histories, including avascular necrosis, acute chest syndrome, and leg ulcers.

Demographic and Clinical Data
ParticipantAge at Interview DateGenderHemoglobin Diagnosis*Average Hospital Days per Year 20082010
  • HbSS denotes homozygosity for the sickle cell gene (HBB glu6val), sickle cell anemia. HbS‐B thalassemia denotes heterozygosity for the sickle cell gene (HBB glu6val) and one of the B‐thalassemia gene mutations. HbSC denotes heterozygosity for the sickle cell gene (HBB glu6val) and the hemoglobin C gene (HBB glu6lys), sickle‐hemoglobin C disease.

  • Hospitalization data only applies to hospital days at Yale‐New Haven Hospital.

  • Participant spent 1 y in prisonthis interval was not included in his hospitalization rate.

134FHbSS171
227FHbSS263
326MHbS‐B thalassemia151
434MHbSC111
537FHbSS202
625FHbS‐B thalassemia104
724FHbSS123
1032MHbSS94

Participant interviews presented a common narrative of the evolution of EHHU from a young age, culminating in a universally negative description of hospitalization: It's like jail. (participant 2); It's like a massacre, coming in the hospital; I get tortured. (participant 1). Saturation was reached on major themes, which fit into 3 general categories: pain and opioid medication use, interpersonal relationships, and personal development.

Pain and Opioid Medication Use

Participants reported hospital use dating back to childhood, which was the first exposure to intravenous opioid medications and the beginning of a trajectory of accelerating use, tolerance, and dependence: You know, I came in the hospital when I was two years old I stayed 'til I was like five and a half. I started school here. (participant 1); I started taking that medicine when I was on the pedi side. So my body's already used to it it doesn't really touch me. They're gonna have to up my doses. (participant 7).

As adults, participants expressed awareness of the potential problems of opioids. During interviews, many participants exhibited side effects of these medications, such as itching and somnolence. Moreover, participants expressed awareness of the skepticism and mistrust from providers, and acknowledged that such sentiments may be justified toward certain patients: That's all our body knows, is meds, meds, meds. And because your body is addicted to this level, you gotta go up another level, but some doctors think we're taking too much. How can we be taking too much when we need it? (participant 5); The oxy which I'm on [oxycontin 240 mg per day] when you take that, you going to sleep. And then some of them will say when you go home you're not taking the medicine like you should. (participant 5).

Opioids were taken in and out of the hospital by all participants, and were identified as necessary in combating debilitating pain. Many participants expressed a reluctance to try other forms of therapy, such as hydroxyurea: These new chemicals, you come across doctors who say there's this new medicine out, and it's been out for such and such amount of timeI think it would be good, can we try it with you? No. I'm not a guinea. (participant 2).

While all participants described unpredictable pain crises, some also described an underlying, constant pain syndrome: You know, like, I could be fine right now; the next minute I could be Oh, my God crying, so much pain. You never know when you're gonna have a crisis. (participant 1); There's never no pain. There's always pain. It's just a fact of life. I wake up and I can deal with the pain, it's not that bad today. But then when the crisis hits, that's when it gets unbearable. (participant 10); I'm not in pain every day, every second. To me, I don't think that any sickle cell patient is in pain every day. They make theirselves to [be] it saddens me sometimes. (participant 6).

Interpersonal Relationships

In childhood, participants developed close relationships with the staff of the children's hospital and an attachment to this institution: I loved pediatrics. It's the adult side I can't stand. They treat you better. (participant 7); Some people in the ER, they know us; and I call them my family they already know what I need. (participant 5).

In contrast, the hospital experience during adulthood was often punctuated by bitter relationships with staff, and distrust over possible excessive use of opioids. Moreover, participants raised the possibility of racism in their interactions with hospital staff. Overall, participants highlighted a lack of empathy among caregivers: Some doctors, they're rude, like, they're rough. They'll just pull out the scope bang it onto my back, or just push on my body or areas where it hurts. (participant 6); I'm your doctor. And I say I think you're doing a lot better, how would you feel about going home today? And you can say I don't think I'm ready. And I can say Well, you can't live here in the hospital. Why do you think you're not ready for home yet? You're never, ever going to be pain free, and that's when you turn around to me and say I know that. I've been dealing with this for all my life. I know I'm never gonna be pain free! (participant 2).

Such negative interactions extended to friends and family members, leading to a sense of social isolation and a reluctance to discuss their disease with others: I just don't think people will understand where I'm coming from. So I just don't talk to anybody, I keep it inside. Or I write it in my diary. (participant 5); I don't have any friends. I have associates. I'm always by myself. (participant 1).

Even though participants expressed dismay at dysfunctional relationships within the hospital, they also voiced affection for staff members. Participant 1 described hospital stays that were loving, and participant 3 described his hematologist as his brother from another mother, and a nurse practitioner as his aunt.

Personal Development

Hospitalization in childhood was linked to EHHU as an adult by the derailment that participants described in their personal development. Prolonged hospitalization and illness were barriers to education, interfering with the development of social as well as academic skills: I couldn't spell me being in a hospital for so much I was like, no, I don't want that bookwork like everybody else. (participant 3); I stopped going to school. I told [my mom] that I was not going back to school because the kids made fun of me Oh, she has a disease. Be careful, you might get the cooties. (participant 2).

Participants also described a sense of foreshortened future. Many were told that they would not survive their teens: They told my mother I would die before I was 12 years old. And I would be scared to go to sleep, because I would think I was gonna die in my sleep. (participant 2)

As an adult, numerous and/or prolonged hospitalizations interfered with participants' ability to remain employed, and they experienced strains on fulfilling family roles: I would love to work again, but who gonna hire somebody that's always out, more than you're working. Nobody. (participant 5); Sometimes I feel like I'm neglecting my son, being here. You have to take care of yourself in order for you to be there for him. But it just stresses me out. (participant 6).

The struggles of hospitalization and pain management took their toll on participants' mental health. Participants described difficulty sleeping, depression, and suicidal thoughts: Sorrow. That's what [sickle cell] means to me. Unhappy. Everything's depressing. It takes over your body and your mind and your soul. (participant 5); I really was gonna kill myself cause it's like, sometime, the pain, you be in so much pain, you be like, fuck this, man. My pain was bothering me so much, I laid down on the highway, wishin a car would run me over. (participant 4).

Despite fragile mental and physical health, many participants described feelings of strength and resilience, and some described hope in the future for employment, education, travel, and family: I don't know why God picked me, but for some strange, mysterious reason he picked me. I still don't know what that reason may be, but I ain't gonna give up. Maybe he got some kind of plan in store. (participant 2).

DISCUSSION

Our study population represents a unique and understudied group among patients with SCD. While several themes from prior research on individuals with SCD were presentreciprocal mistrust between patients and providers surrounding opioid analgesics and pain reporting,15, 16 racial and disease‐related bias,17 patient dissatisfaction with clinical services,18the common narrative of thwarted personal development in the setting of a long history of hospitalization and opioid use was striking.

The developmental perspective posits that age‐appropriate tasks govern basic capacities and skills (academic, interpersonal, affective, and cognitive) honed through institutional interactions (family, school, and community), which allow individuals to develop autonomy that guides them into effective participation in social groups and civil society, and eventually to becoming guarantors for the next generation. Our participants described problems such as social isolation, depression, and dependence on medications, all linked to their description of recurrent stays in the hospital during childhood and adolescence, where missed vocational and social opportunities left their indelible mark. Participants expressed an awareness of their inability to lead productive lives, and the perception that they were burdensome to their caregivers and the hospital.

While previous research has correlated high hospital utilization in SCD with factors like poor coping strategies,1921 high levels of stress,22 and inadequate support,17 our interviews suggest that such psychosocial difficulties may be consequences as well as causes of hospitalization, creating an accelerating downward spiral of dysfunction. At the center of this spiral is participants' ongoing experience of pain, which may be related to SCD, medications, or neither.23 Additionally, chronic anemia, opioid exposure, airway disease, and cerebrovascular disease are all implicated in impaired neuropsychological functioning in children and adolescents with sickle cell disease.24, 25

Clinical features of SCD remain relevant to hospitalization in adulthood. Chart review revealed that the vast majority of inpatient admissions were due to vaso‐occlusive crises uncomplicated by SCD‐related pathology, such as aseptic necrosis of bone or acute chest syndrome. This finding is consistent with previous work,9 which correlated new onset of high hospital use with SCD‐related complications, but not reliably with persistent EHHU, our study population.

The double‐edged sword of opioid use26 was starkly evident in participants' narratives. Crippling vaso‐occlusive crises were competently treated with opioids starting in childhood, but then a cycle of increasing outpatient doses of opioids and more frequent and longer courses of inpatient intravenous opioids followed. Participants felt judged and stigmatized for seeking one of the few treatment options they had been offered, resulting in confusion and bitterness at times. Other potential complications of long‐term opioid therapy less well known to patients and providers such as hypogonadism and hyperalgesia27may have played a role in the patient experience and should be examined in future research. In addition, undertreatment of pain may lead to pseudoaddiction,28 underscoring the complexity of delineating the pathologies of dependence, addiction, withdrawal, acute pain, and chronic pain.

Our study is limited primarily by the fact that it was conducted with a small number of participants. It is also possible that institutional variation, especially with regard to pain management, makes it difficult to generalize our hypotheses. Similarly, our participants grew up in similar environments outside the hospital, which may differ significantly from environments of other individuals with EHHU. Lastly, participants were all interviewed as inpatients, and the acuteness of their illness may have influenced responses. Despite these limitations, we achieved saturation on the major themes, and there was substantial agreement in their experiences of their illness.

Breaking the cycle of alienation from the external world and dependence on the hospital necessitates an acknowledgement of the role of the hospital, pain, and opioid use in the long‐term development of individuals with EHHU. Further research should test this developmental hypothesis, and focus on early interventions and the critical transition from pediatric to adult care.25 Longitudinal quantitative analysis could include psychosocial variables in SCD in the attempt to predict EHHU as has been accomplished in the chronic pain literature.29 Additionally, a comprehensive qualitative approach including the perspectives of caregivers, family members, and comparison to low hospital utilizers will better inform interventions aimed at ameliorating EHHU. It is particularly important to understand the similarities and differences in the long‐term development of patients with SCD who demonstrate EHHU versus low hospital use. The optimal strategy for opioid use in the long‐term management of pain in patients with SCD remains to be determined. Alternatives to opioids should be investigated in a controlled trial, and institutional differences should be examined as they relate to EHHU and pain‐management strategies. Lastly, our results suggest that psychosocial and skill rehabilitation may mitigate EHHU, and that multidisciplinary resources proactively directed towards this population will reduce hospitalization.30

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References
  1. Brousseau DC,Panepinto JA,Nimmer M,Hoffmann RG.The number of people with sickle‐cell disease in the United States: national and state estimates.Am J Hematol.2009;85:7778.
  2. Ballas SK.Current issues in sickle cell pain and its management.Hematology Am Soc Hematol Educ Program.2007:97105.
  3. Smith WR,Penberthy LT,Bovbjerg VE, et al.Daily assessment of pain in adults with sickle cell disease.Ann Intern Med.2008;148:94101.
  4. Brousseau DC,Owens PL,Mosso AL,Panepinto JA,Steiner CA.Acute care utilization and rehospitalizations for sickle cell disease.JAMA.2010;303:12881294.
  5. Carroll CP,Haywood C,Fagan P,Lanzkron S.The course and correlates of high hospital utilization in sickle cell disease: evidence from a large, urban Medicaid managed care organization.Am J Hematol.2009;84:666670.
  6. Shankar SM,Arbogast PG,Mitchel E,Cooper WO,Wang WC,Griffin MR.Medical care utilization and mortality in sickle cell disease: a population‐based study.Am J Hematol.2005;80:262270.
  7. Platt OS,Thorington BD,Brambilla DJ, et al.Pain in sickle cell disease. Rates and risk factors.N Engl J Med.1991;325:1116.
  8. Aisiku IP,Smith WR,McClish DK, et al.Comparisons of high versus low emergency department utilizers in sickle cell disease.Ann Emerg Med.2009;53:587593.
  9. Carroll CP,Haywood C,Lanzkron S.Prediction of onset and course of high hospital utilization in sickle cell disease.J Hosp Med.2011;6:248255.
  10. Chen E,Cole SW,Kato PM.A review of empirically supported psychosocial interventions for pain and adherence outcomes in sickle cell disease.J Pediatr Psychol.2004;29:197209.
  11. Glaser BG.More Grounded Theory Methodology: A Reader.Mill Valley, CA:Sociology Press;1994.
  12. McCracken GD.The Long Interview.Newbury Park, CA:Sage;1988.
  13. Sells D,Topor A,Davidson L.Generating coherence out of chaos: examples of the utility of empathic bridges in phenomenological research.J Phenomenolog Psychol.2004;35:253271.
  14. Davidson L,Wieland M,Flanagan EH,Sells D.Using qualitative methods in clinical research. In: McKay D, ed.Handbook of Research Methods in Abnormal and Clinical Psychology.Los Angeles, CA:Sage;2008:263269.
  15. Shapiro BS,Benjamin LJ,Payne R,Heidrich G.Sickle cell‐related pain: perceptions of medical practitioners.J Pain Symptom Manage.1997;14:168174.
  16. Booker MJ,Blethyn KL,Wright CJ,Greenfield SM.Pain management in sickle cell disease.Chronic Illn.2006;2:3950.
  17. Maxwell K,Streetly A,Bevan D.Experiences of hospital care and treatment‐seeking behavior for pain from sickle cell disease: qualitative study.West J Med.1999;171:306313.
  18. Brousseau DC,Mukonje T,Brandow AM,Nimmer M,Panepinto JA.Dissatisfaction with hospital care for children with sickle cell disease not due only to race and chronic disease.Pediatr Blood Cancer.2009;53:174178.
  19. Gil KM,Abrams MR,Phillips G,Keefe FJ.Sickle cell disease pain: relation of coping strategies to adjustment.J Consult Clin Psychol.1989;57:725731.
  20. Gil KM,Abrams MR,Phillips G,Williams DA.Sickle cell disease pain: 2. Predicting health care use and activity level at 9‐month follow‐up.J Consult Clin Psychol.1992;60:267273.
  21. Anie KA,Steptoe A,Ball S,Dick M,Smalling BM.Coping and health service utilisation in a UK study of paediatric sickle cell pain.Arch Dis Child.2002;86:325329.
  22. Gil KM,Carson JW,Porter LS,Scipio C,Bediako SM,Orringer E.Daily mood and stress predict pain, health care use, and work activity in African American adults with sickle‐cell disease.Health Psychol.2004;23:267274.
  23. Benjamin L.Pain management in sickle cell disease: palliative care begins at birth?Hematology Am Soc Hematol Educ Program.2008:466474.
  24. Schatz J,Finke RL,Kellett JM,Kramer JH.Cognitive functioning in children with sickle cell disease: a meta‐analysis.J Pediatr Psychol.2002;27:739748.
  25. Wills KE,Nelson SC,Hennessy J, et al.Transition planning for youth with sickle cell disease: embedding neuropsychological assessment into comprehensive care.Pediatrics.2010;126(suppl 3):S151S159.
  26. Simoni‐Wastila L.Increases in opioid medication use: balancing the good with the bad.Pain.2008;138:245246.
  27. Mercadante S,Ferrera P,Villari P,Arcuri E.Hyperalgesia: an emerging iatrogenic syndrome.J Pain Symptom Manage.2003;26:769775.
  28. Elander J,Lusher J,Bevan D,Telfer P,Burton B.Understanding the causes of problematic pain management in sickle cell disease: evidence that pseudoaddiction plays a more important role than genuine analgesic dependence.J Pain Symptom Manage.2004;27:156169.
  29. Walker LS,Sherman AL,Bruehl S,Garber J,Smith CA.Functional abdominal pain patient subtypes in childhood predict functional gastrointestinal disorders with chronic pain and psychiatric comorbidities in adolescence and adulthood.Pain.2012;153:17981806.
  30. Artz N,Whelan C,Feehan S.Caring for the adult with sickle cell disease: results of a multidisciplinary pilot program.J Natl Med Assoc.2010;102:10091016.
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Sickle cell disease (SCD) accounts for approximately 113,000 hospital admissions annually in the United States, at a cost of approximately $500 million.1 The majority of these hospital admissions are due to painful episodes, vaso‐occlusive crises, often triggered by a psychological or physical stressor.2 Most individuals manage these crises at home,3 with sporadic admissions occurring, on average, 1.5 times per year.4 However, a minority of patients are admitted as often as several times per month, persistent over successive years,5, 6 a phenomenon we call extremely high hospital use (EHHU). These patients account for a disproportionate share of total costs, and may suffer worse health outcomes. Three or more hospital admissions per year has been correlated with a lower 5‐year survival rate,7 and high emergency room utilization was found to be associated with more reported pain, and more opioid use at home.8

To improve patient quality of life and to decrease healthcare costs in the management of SCD, there has been increased focus on predicting high utilization9 and identifying strategies to decrease hospitalization rates, especially among patients with EHHU.10 Although SCD patients with EHHU have been identified as a small group of outliers,5 the psychosocial factors associated with EHHU in adults with SCD have not been investigated. The objective of this qualitative study is to characterize the subjective experience of patients with sickle cell disease and EHHU, and generate hypotheses about its antecedents and consequences.

METHODS

The institutional review board (IRB) of Yale University School of Medicine, New Haven, CT, approved the research protocol.

Participants

We accessed the Yale‐New Haven Hospital administrative database to identify the number of patients with SCD who demonstrated EHHU that did not remit over successive years.5 We identified the 10 highest inpatient utilizing individuals with sickle cell disease over the period January 1, 2008December 31, 2010; 8 individuals consented to participate. We collected the following data on each participant through chart review: hemoglobinopathy, length of stay, primary diagnosis for each admission, and SCD‐related comorbidities (eg, avascular necrosis, leg ulcer, etc). No research team member was involved in the care of any of the participants.

Interviews

Based on literature review of other qualitative research in SCD, we created an interview guide to include the following themes: 1) disease, pain, and medication; 2) hospitalization; 3) support structures; 4) daily life; and 5) personal relationships (see Supporting Information, Appendix I, in the online version of this article). Applying Grounded Theory in qualitative research, the interview guide underwent several minor modifications based on field‐testing interviews with 4 interviews of patients not enrolled in the study and early interviews with study participants.11 Tape‐recorded interviews, each lasting at least an hour,12 were conducted by 1 researcher (D.W.) during inpatient hospitalizations, at least several days after admission to ensure that participants were comfortable enough to participate. When the interview exceeded an hour, it was continued at a later time. Recordings were transcribed by a professional transcription service and verified for accuracy by the interviewer. Participants were compensated $25 for completed interviews.

Narrative Analysis

The analysis team consisted of 2 psychiatrists (1 with additional training in internal medicine), 1 medical student, and 1 internist with additional training in addiction medicine. Analysts read each transcript, became thoroughly familiar with its content, and met to discuss preliminary findings. Then, we created patient experts among the group, assigning each analyst 2 interviews with which s/he prepared a detailed summary in the first person, using the participant's own words, according to an established process in phenomenological research13 (Figure 1). These narrative summaries allowed for the development of a holistic view of the participant, the creation of a narrative structure, and the fostering of an empathic bridge,13 a connection between the experiences of the participant and those of the reviewer. The summaries were read aloud at research meetings allowing for discussion, and the content of the summaries were modified based on the consensus of the group.

Figure 1
Narrative and analysis model.13

Next, we randomly rotated the narrative summaries so that each of the 4 analysts became an expert for 2 additional participants in order to critically evaluate the compiled narratives, and develop a structural summary14a summary of the prevalent themes. We extracted content from the narrative summaries based on these common themes, and returned to the transcripts as needed for relevant quotations. This inductive process allowed unique participant narratives to come through unconstrained by a predetermined coding structure.

The team reached consensus on organizing themes following the chronology of childhood to adulthood. This model was utilized to preserve the narrative basis of the methodology, and to ultimately elucidate the antecedents, subjective experience, and consequences of EHHU. An audit trail was maintained throughout the data analysis process.

RESULTS

Table 1 displays demographic, clinical, and hospitalization data for the 8 participants. These patients represented approximately 8% of the population with sickle cell disease at the study institution, but accounted for 57% of hospital days among sickle cell disease patients over a 3‐year period, with cumulative hospital days near or above 100 days per patient each year. Greater than 90% of admissions were for vaso‐occlusive crises without other SCD‐related complications. However, many participants had complicated medical histories, including avascular necrosis, acute chest syndrome, and leg ulcers.

Demographic and Clinical Data
ParticipantAge at Interview DateGenderHemoglobin Diagnosis*Average Hospital Days per Year 20082010
  • HbSS denotes homozygosity for the sickle cell gene (HBB glu6val), sickle cell anemia. HbS‐B thalassemia denotes heterozygosity for the sickle cell gene (HBB glu6val) and one of the B‐thalassemia gene mutations. HbSC denotes heterozygosity for the sickle cell gene (HBB glu6val) and the hemoglobin C gene (HBB glu6lys), sickle‐hemoglobin C disease.

  • Hospitalization data only applies to hospital days at Yale‐New Haven Hospital.

  • Participant spent 1 y in prisonthis interval was not included in his hospitalization rate.

134FHbSS171
227FHbSS263
326MHbS‐B thalassemia151
434MHbSC111
537FHbSS202
625FHbS‐B thalassemia104
724FHbSS123
1032MHbSS94

Participant interviews presented a common narrative of the evolution of EHHU from a young age, culminating in a universally negative description of hospitalization: It's like jail. (participant 2); It's like a massacre, coming in the hospital; I get tortured. (participant 1). Saturation was reached on major themes, which fit into 3 general categories: pain and opioid medication use, interpersonal relationships, and personal development.

Pain and Opioid Medication Use

Participants reported hospital use dating back to childhood, which was the first exposure to intravenous opioid medications and the beginning of a trajectory of accelerating use, tolerance, and dependence: You know, I came in the hospital when I was two years old I stayed 'til I was like five and a half. I started school here. (participant 1); I started taking that medicine when I was on the pedi side. So my body's already used to it it doesn't really touch me. They're gonna have to up my doses. (participant 7).

As adults, participants expressed awareness of the potential problems of opioids. During interviews, many participants exhibited side effects of these medications, such as itching and somnolence. Moreover, participants expressed awareness of the skepticism and mistrust from providers, and acknowledged that such sentiments may be justified toward certain patients: That's all our body knows, is meds, meds, meds. And because your body is addicted to this level, you gotta go up another level, but some doctors think we're taking too much. How can we be taking too much when we need it? (participant 5); The oxy which I'm on [oxycontin 240 mg per day] when you take that, you going to sleep. And then some of them will say when you go home you're not taking the medicine like you should. (participant 5).

Opioids were taken in and out of the hospital by all participants, and were identified as necessary in combating debilitating pain. Many participants expressed a reluctance to try other forms of therapy, such as hydroxyurea: These new chemicals, you come across doctors who say there's this new medicine out, and it's been out for such and such amount of timeI think it would be good, can we try it with you? No. I'm not a guinea. (participant 2).

While all participants described unpredictable pain crises, some also described an underlying, constant pain syndrome: You know, like, I could be fine right now; the next minute I could be Oh, my God crying, so much pain. You never know when you're gonna have a crisis. (participant 1); There's never no pain. There's always pain. It's just a fact of life. I wake up and I can deal with the pain, it's not that bad today. But then when the crisis hits, that's when it gets unbearable. (participant 10); I'm not in pain every day, every second. To me, I don't think that any sickle cell patient is in pain every day. They make theirselves to [be] it saddens me sometimes. (participant 6).

Interpersonal Relationships

In childhood, participants developed close relationships with the staff of the children's hospital and an attachment to this institution: I loved pediatrics. It's the adult side I can't stand. They treat you better. (participant 7); Some people in the ER, they know us; and I call them my family they already know what I need. (participant 5).

In contrast, the hospital experience during adulthood was often punctuated by bitter relationships with staff, and distrust over possible excessive use of opioids. Moreover, participants raised the possibility of racism in their interactions with hospital staff. Overall, participants highlighted a lack of empathy among caregivers: Some doctors, they're rude, like, they're rough. They'll just pull out the scope bang it onto my back, or just push on my body or areas where it hurts. (participant 6); I'm your doctor. And I say I think you're doing a lot better, how would you feel about going home today? And you can say I don't think I'm ready. And I can say Well, you can't live here in the hospital. Why do you think you're not ready for home yet? You're never, ever going to be pain free, and that's when you turn around to me and say I know that. I've been dealing with this for all my life. I know I'm never gonna be pain free! (participant 2).

Such negative interactions extended to friends and family members, leading to a sense of social isolation and a reluctance to discuss their disease with others: I just don't think people will understand where I'm coming from. So I just don't talk to anybody, I keep it inside. Or I write it in my diary. (participant 5); I don't have any friends. I have associates. I'm always by myself. (participant 1).

Even though participants expressed dismay at dysfunctional relationships within the hospital, they also voiced affection for staff members. Participant 1 described hospital stays that were loving, and participant 3 described his hematologist as his brother from another mother, and a nurse practitioner as his aunt.

Personal Development

Hospitalization in childhood was linked to EHHU as an adult by the derailment that participants described in their personal development. Prolonged hospitalization and illness were barriers to education, interfering with the development of social as well as academic skills: I couldn't spell me being in a hospital for so much I was like, no, I don't want that bookwork like everybody else. (participant 3); I stopped going to school. I told [my mom] that I was not going back to school because the kids made fun of me Oh, she has a disease. Be careful, you might get the cooties. (participant 2).

Participants also described a sense of foreshortened future. Many were told that they would not survive their teens: They told my mother I would die before I was 12 years old. And I would be scared to go to sleep, because I would think I was gonna die in my sleep. (participant 2)

As an adult, numerous and/or prolonged hospitalizations interfered with participants' ability to remain employed, and they experienced strains on fulfilling family roles: I would love to work again, but who gonna hire somebody that's always out, more than you're working. Nobody. (participant 5); Sometimes I feel like I'm neglecting my son, being here. You have to take care of yourself in order for you to be there for him. But it just stresses me out. (participant 6).

The struggles of hospitalization and pain management took their toll on participants' mental health. Participants described difficulty sleeping, depression, and suicidal thoughts: Sorrow. That's what [sickle cell] means to me. Unhappy. Everything's depressing. It takes over your body and your mind and your soul. (participant 5); I really was gonna kill myself cause it's like, sometime, the pain, you be in so much pain, you be like, fuck this, man. My pain was bothering me so much, I laid down on the highway, wishin a car would run me over. (participant 4).

Despite fragile mental and physical health, many participants described feelings of strength and resilience, and some described hope in the future for employment, education, travel, and family: I don't know why God picked me, but for some strange, mysterious reason he picked me. I still don't know what that reason may be, but I ain't gonna give up. Maybe he got some kind of plan in store. (participant 2).

DISCUSSION

Our study population represents a unique and understudied group among patients with SCD. While several themes from prior research on individuals with SCD were presentreciprocal mistrust between patients and providers surrounding opioid analgesics and pain reporting,15, 16 racial and disease‐related bias,17 patient dissatisfaction with clinical services,18the common narrative of thwarted personal development in the setting of a long history of hospitalization and opioid use was striking.

The developmental perspective posits that age‐appropriate tasks govern basic capacities and skills (academic, interpersonal, affective, and cognitive) honed through institutional interactions (family, school, and community), which allow individuals to develop autonomy that guides them into effective participation in social groups and civil society, and eventually to becoming guarantors for the next generation. Our participants described problems such as social isolation, depression, and dependence on medications, all linked to their description of recurrent stays in the hospital during childhood and adolescence, where missed vocational and social opportunities left their indelible mark. Participants expressed an awareness of their inability to lead productive lives, and the perception that they were burdensome to their caregivers and the hospital.

While previous research has correlated high hospital utilization in SCD with factors like poor coping strategies,1921 high levels of stress,22 and inadequate support,17 our interviews suggest that such psychosocial difficulties may be consequences as well as causes of hospitalization, creating an accelerating downward spiral of dysfunction. At the center of this spiral is participants' ongoing experience of pain, which may be related to SCD, medications, or neither.23 Additionally, chronic anemia, opioid exposure, airway disease, and cerebrovascular disease are all implicated in impaired neuropsychological functioning in children and adolescents with sickle cell disease.24, 25

Clinical features of SCD remain relevant to hospitalization in adulthood. Chart review revealed that the vast majority of inpatient admissions were due to vaso‐occlusive crises uncomplicated by SCD‐related pathology, such as aseptic necrosis of bone or acute chest syndrome. This finding is consistent with previous work,9 which correlated new onset of high hospital use with SCD‐related complications, but not reliably with persistent EHHU, our study population.

The double‐edged sword of opioid use26 was starkly evident in participants' narratives. Crippling vaso‐occlusive crises were competently treated with opioids starting in childhood, but then a cycle of increasing outpatient doses of opioids and more frequent and longer courses of inpatient intravenous opioids followed. Participants felt judged and stigmatized for seeking one of the few treatment options they had been offered, resulting in confusion and bitterness at times. Other potential complications of long‐term opioid therapy less well known to patients and providers such as hypogonadism and hyperalgesia27may have played a role in the patient experience and should be examined in future research. In addition, undertreatment of pain may lead to pseudoaddiction,28 underscoring the complexity of delineating the pathologies of dependence, addiction, withdrawal, acute pain, and chronic pain.

Our study is limited primarily by the fact that it was conducted with a small number of participants. It is also possible that institutional variation, especially with regard to pain management, makes it difficult to generalize our hypotheses. Similarly, our participants grew up in similar environments outside the hospital, which may differ significantly from environments of other individuals with EHHU. Lastly, participants were all interviewed as inpatients, and the acuteness of their illness may have influenced responses. Despite these limitations, we achieved saturation on the major themes, and there was substantial agreement in their experiences of their illness.

Breaking the cycle of alienation from the external world and dependence on the hospital necessitates an acknowledgement of the role of the hospital, pain, and opioid use in the long‐term development of individuals with EHHU. Further research should test this developmental hypothesis, and focus on early interventions and the critical transition from pediatric to adult care.25 Longitudinal quantitative analysis could include psychosocial variables in SCD in the attempt to predict EHHU as has been accomplished in the chronic pain literature.29 Additionally, a comprehensive qualitative approach including the perspectives of caregivers, family members, and comparison to low hospital utilizers will better inform interventions aimed at ameliorating EHHU. It is particularly important to understand the similarities and differences in the long‐term development of patients with SCD who demonstrate EHHU versus low hospital use. The optimal strategy for opioid use in the long‐term management of pain in patients with SCD remains to be determined. Alternatives to opioids should be investigated in a controlled trial, and institutional differences should be examined as they relate to EHHU and pain‐management strategies. Lastly, our results suggest that psychosocial and skill rehabilitation may mitigate EHHU, and that multidisciplinary resources proactively directed towards this population will reduce hospitalization.30

Sickle cell disease (SCD) accounts for approximately 113,000 hospital admissions annually in the United States, at a cost of approximately $500 million.1 The majority of these hospital admissions are due to painful episodes, vaso‐occlusive crises, often triggered by a psychological or physical stressor.2 Most individuals manage these crises at home,3 with sporadic admissions occurring, on average, 1.5 times per year.4 However, a minority of patients are admitted as often as several times per month, persistent over successive years,5, 6 a phenomenon we call extremely high hospital use (EHHU). These patients account for a disproportionate share of total costs, and may suffer worse health outcomes. Three or more hospital admissions per year has been correlated with a lower 5‐year survival rate,7 and high emergency room utilization was found to be associated with more reported pain, and more opioid use at home.8

To improve patient quality of life and to decrease healthcare costs in the management of SCD, there has been increased focus on predicting high utilization9 and identifying strategies to decrease hospitalization rates, especially among patients with EHHU.10 Although SCD patients with EHHU have been identified as a small group of outliers,5 the psychosocial factors associated with EHHU in adults with SCD have not been investigated. The objective of this qualitative study is to characterize the subjective experience of patients with sickle cell disease and EHHU, and generate hypotheses about its antecedents and consequences.

METHODS

The institutional review board (IRB) of Yale University School of Medicine, New Haven, CT, approved the research protocol.

Participants

We accessed the Yale‐New Haven Hospital administrative database to identify the number of patients with SCD who demonstrated EHHU that did not remit over successive years.5 We identified the 10 highest inpatient utilizing individuals with sickle cell disease over the period January 1, 2008December 31, 2010; 8 individuals consented to participate. We collected the following data on each participant through chart review: hemoglobinopathy, length of stay, primary diagnosis for each admission, and SCD‐related comorbidities (eg, avascular necrosis, leg ulcer, etc). No research team member was involved in the care of any of the participants.

Interviews

Based on literature review of other qualitative research in SCD, we created an interview guide to include the following themes: 1) disease, pain, and medication; 2) hospitalization; 3) support structures; 4) daily life; and 5) personal relationships (see Supporting Information, Appendix I, in the online version of this article). Applying Grounded Theory in qualitative research, the interview guide underwent several minor modifications based on field‐testing interviews with 4 interviews of patients not enrolled in the study and early interviews with study participants.11 Tape‐recorded interviews, each lasting at least an hour,12 were conducted by 1 researcher (D.W.) during inpatient hospitalizations, at least several days after admission to ensure that participants were comfortable enough to participate. When the interview exceeded an hour, it was continued at a later time. Recordings were transcribed by a professional transcription service and verified for accuracy by the interviewer. Participants were compensated $25 for completed interviews.

Narrative Analysis

The analysis team consisted of 2 psychiatrists (1 with additional training in internal medicine), 1 medical student, and 1 internist with additional training in addiction medicine. Analysts read each transcript, became thoroughly familiar with its content, and met to discuss preliminary findings. Then, we created patient experts among the group, assigning each analyst 2 interviews with which s/he prepared a detailed summary in the first person, using the participant's own words, according to an established process in phenomenological research13 (Figure 1). These narrative summaries allowed for the development of a holistic view of the participant, the creation of a narrative structure, and the fostering of an empathic bridge,13 a connection between the experiences of the participant and those of the reviewer. The summaries were read aloud at research meetings allowing for discussion, and the content of the summaries were modified based on the consensus of the group.

Figure 1
Narrative and analysis model.13

Next, we randomly rotated the narrative summaries so that each of the 4 analysts became an expert for 2 additional participants in order to critically evaluate the compiled narratives, and develop a structural summary14a summary of the prevalent themes. We extracted content from the narrative summaries based on these common themes, and returned to the transcripts as needed for relevant quotations. This inductive process allowed unique participant narratives to come through unconstrained by a predetermined coding structure.

The team reached consensus on organizing themes following the chronology of childhood to adulthood. This model was utilized to preserve the narrative basis of the methodology, and to ultimately elucidate the antecedents, subjective experience, and consequences of EHHU. An audit trail was maintained throughout the data analysis process.

RESULTS

Table 1 displays demographic, clinical, and hospitalization data for the 8 participants. These patients represented approximately 8% of the population with sickle cell disease at the study institution, but accounted for 57% of hospital days among sickle cell disease patients over a 3‐year period, with cumulative hospital days near or above 100 days per patient each year. Greater than 90% of admissions were for vaso‐occlusive crises without other SCD‐related complications. However, many participants had complicated medical histories, including avascular necrosis, acute chest syndrome, and leg ulcers.

Demographic and Clinical Data
ParticipantAge at Interview DateGenderHemoglobin Diagnosis*Average Hospital Days per Year 20082010
  • HbSS denotes homozygosity for the sickle cell gene (HBB glu6val), sickle cell anemia. HbS‐B thalassemia denotes heterozygosity for the sickle cell gene (HBB glu6val) and one of the B‐thalassemia gene mutations. HbSC denotes heterozygosity for the sickle cell gene (HBB glu6val) and the hemoglobin C gene (HBB glu6lys), sickle‐hemoglobin C disease.

  • Hospitalization data only applies to hospital days at Yale‐New Haven Hospital.

  • Participant spent 1 y in prisonthis interval was not included in his hospitalization rate.

134FHbSS171
227FHbSS263
326MHbS‐B thalassemia151
434MHbSC111
537FHbSS202
625FHbS‐B thalassemia104
724FHbSS123
1032MHbSS94

Participant interviews presented a common narrative of the evolution of EHHU from a young age, culminating in a universally negative description of hospitalization: It's like jail. (participant 2); It's like a massacre, coming in the hospital; I get tortured. (participant 1). Saturation was reached on major themes, which fit into 3 general categories: pain and opioid medication use, interpersonal relationships, and personal development.

Pain and Opioid Medication Use

Participants reported hospital use dating back to childhood, which was the first exposure to intravenous opioid medications and the beginning of a trajectory of accelerating use, tolerance, and dependence: You know, I came in the hospital when I was two years old I stayed 'til I was like five and a half. I started school here. (participant 1); I started taking that medicine when I was on the pedi side. So my body's already used to it it doesn't really touch me. They're gonna have to up my doses. (participant 7).

As adults, participants expressed awareness of the potential problems of opioids. During interviews, many participants exhibited side effects of these medications, such as itching and somnolence. Moreover, participants expressed awareness of the skepticism and mistrust from providers, and acknowledged that such sentiments may be justified toward certain patients: That's all our body knows, is meds, meds, meds. And because your body is addicted to this level, you gotta go up another level, but some doctors think we're taking too much. How can we be taking too much when we need it? (participant 5); The oxy which I'm on [oxycontin 240 mg per day] when you take that, you going to sleep. And then some of them will say when you go home you're not taking the medicine like you should. (participant 5).

Opioids were taken in and out of the hospital by all participants, and were identified as necessary in combating debilitating pain. Many participants expressed a reluctance to try other forms of therapy, such as hydroxyurea: These new chemicals, you come across doctors who say there's this new medicine out, and it's been out for such and such amount of timeI think it would be good, can we try it with you? No. I'm not a guinea. (participant 2).

While all participants described unpredictable pain crises, some also described an underlying, constant pain syndrome: You know, like, I could be fine right now; the next minute I could be Oh, my God crying, so much pain. You never know when you're gonna have a crisis. (participant 1); There's never no pain. There's always pain. It's just a fact of life. I wake up and I can deal with the pain, it's not that bad today. But then when the crisis hits, that's when it gets unbearable. (participant 10); I'm not in pain every day, every second. To me, I don't think that any sickle cell patient is in pain every day. They make theirselves to [be] it saddens me sometimes. (participant 6).

Interpersonal Relationships

In childhood, participants developed close relationships with the staff of the children's hospital and an attachment to this institution: I loved pediatrics. It's the adult side I can't stand. They treat you better. (participant 7); Some people in the ER, they know us; and I call them my family they already know what I need. (participant 5).

In contrast, the hospital experience during adulthood was often punctuated by bitter relationships with staff, and distrust over possible excessive use of opioids. Moreover, participants raised the possibility of racism in their interactions with hospital staff. Overall, participants highlighted a lack of empathy among caregivers: Some doctors, they're rude, like, they're rough. They'll just pull out the scope bang it onto my back, or just push on my body or areas where it hurts. (participant 6); I'm your doctor. And I say I think you're doing a lot better, how would you feel about going home today? And you can say I don't think I'm ready. And I can say Well, you can't live here in the hospital. Why do you think you're not ready for home yet? You're never, ever going to be pain free, and that's when you turn around to me and say I know that. I've been dealing with this for all my life. I know I'm never gonna be pain free! (participant 2).

Such negative interactions extended to friends and family members, leading to a sense of social isolation and a reluctance to discuss their disease with others: I just don't think people will understand where I'm coming from. So I just don't talk to anybody, I keep it inside. Or I write it in my diary. (participant 5); I don't have any friends. I have associates. I'm always by myself. (participant 1).

Even though participants expressed dismay at dysfunctional relationships within the hospital, they also voiced affection for staff members. Participant 1 described hospital stays that were loving, and participant 3 described his hematologist as his brother from another mother, and a nurse practitioner as his aunt.

Personal Development

Hospitalization in childhood was linked to EHHU as an adult by the derailment that participants described in their personal development. Prolonged hospitalization and illness were barriers to education, interfering with the development of social as well as academic skills: I couldn't spell me being in a hospital for so much I was like, no, I don't want that bookwork like everybody else. (participant 3); I stopped going to school. I told [my mom] that I was not going back to school because the kids made fun of me Oh, she has a disease. Be careful, you might get the cooties. (participant 2).

Participants also described a sense of foreshortened future. Many were told that they would not survive their teens: They told my mother I would die before I was 12 years old. And I would be scared to go to sleep, because I would think I was gonna die in my sleep. (participant 2)

As an adult, numerous and/or prolonged hospitalizations interfered with participants' ability to remain employed, and they experienced strains on fulfilling family roles: I would love to work again, but who gonna hire somebody that's always out, more than you're working. Nobody. (participant 5); Sometimes I feel like I'm neglecting my son, being here. You have to take care of yourself in order for you to be there for him. But it just stresses me out. (participant 6).

The struggles of hospitalization and pain management took their toll on participants' mental health. Participants described difficulty sleeping, depression, and suicidal thoughts: Sorrow. That's what [sickle cell] means to me. Unhappy. Everything's depressing. It takes over your body and your mind and your soul. (participant 5); I really was gonna kill myself cause it's like, sometime, the pain, you be in so much pain, you be like, fuck this, man. My pain was bothering me so much, I laid down on the highway, wishin a car would run me over. (participant 4).

Despite fragile mental and physical health, many participants described feelings of strength and resilience, and some described hope in the future for employment, education, travel, and family: I don't know why God picked me, but for some strange, mysterious reason he picked me. I still don't know what that reason may be, but I ain't gonna give up. Maybe he got some kind of plan in store. (participant 2).

DISCUSSION

Our study population represents a unique and understudied group among patients with SCD. While several themes from prior research on individuals with SCD were presentreciprocal mistrust between patients and providers surrounding opioid analgesics and pain reporting,15, 16 racial and disease‐related bias,17 patient dissatisfaction with clinical services,18the common narrative of thwarted personal development in the setting of a long history of hospitalization and opioid use was striking.

The developmental perspective posits that age‐appropriate tasks govern basic capacities and skills (academic, interpersonal, affective, and cognitive) honed through institutional interactions (family, school, and community), which allow individuals to develop autonomy that guides them into effective participation in social groups and civil society, and eventually to becoming guarantors for the next generation. Our participants described problems such as social isolation, depression, and dependence on medications, all linked to their description of recurrent stays in the hospital during childhood and adolescence, where missed vocational and social opportunities left their indelible mark. Participants expressed an awareness of their inability to lead productive lives, and the perception that they were burdensome to their caregivers and the hospital.

While previous research has correlated high hospital utilization in SCD with factors like poor coping strategies,1921 high levels of stress,22 and inadequate support,17 our interviews suggest that such psychosocial difficulties may be consequences as well as causes of hospitalization, creating an accelerating downward spiral of dysfunction. At the center of this spiral is participants' ongoing experience of pain, which may be related to SCD, medications, or neither.23 Additionally, chronic anemia, opioid exposure, airway disease, and cerebrovascular disease are all implicated in impaired neuropsychological functioning in children and adolescents with sickle cell disease.24, 25

Clinical features of SCD remain relevant to hospitalization in adulthood. Chart review revealed that the vast majority of inpatient admissions were due to vaso‐occlusive crises uncomplicated by SCD‐related pathology, such as aseptic necrosis of bone or acute chest syndrome. This finding is consistent with previous work,9 which correlated new onset of high hospital use with SCD‐related complications, but not reliably with persistent EHHU, our study population.

The double‐edged sword of opioid use26 was starkly evident in participants' narratives. Crippling vaso‐occlusive crises were competently treated with opioids starting in childhood, but then a cycle of increasing outpatient doses of opioids and more frequent and longer courses of inpatient intravenous opioids followed. Participants felt judged and stigmatized for seeking one of the few treatment options they had been offered, resulting in confusion and bitterness at times. Other potential complications of long‐term opioid therapy less well known to patients and providers such as hypogonadism and hyperalgesia27may have played a role in the patient experience and should be examined in future research. In addition, undertreatment of pain may lead to pseudoaddiction,28 underscoring the complexity of delineating the pathologies of dependence, addiction, withdrawal, acute pain, and chronic pain.

Our study is limited primarily by the fact that it was conducted with a small number of participants. It is also possible that institutional variation, especially with regard to pain management, makes it difficult to generalize our hypotheses. Similarly, our participants grew up in similar environments outside the hospital, which may differ significantly from environments of other individuals with EHHU. Lastly, participants were all interviewed as inpatients, and the acuteness of their illness may have influenced responses. Despite these limitations, we achieved saturation on the major themes, and there was substantial agreement in their experiences of their illness.

Breaking the cycle of alienation from the external world and dependence on the hospital necessitates an acknowledgement of the role of the hospital, pain, and opioid use in the long‐term development of individuals with EHHU. Further research should test this developmental hypothesis, and focus on early interventions and the critical transition from pediatric to adult care.25 Longitudinal quantitative analysis could include psychosocial variables in SCD in the attempt to predict EHHU as has been accomplished in the chronic pain literature.29 Additionally, a comprehensive qualitative approach including the perspectives of caregivers, family members, and comparison to low hospital utilizers will better inform interventions aimed at ameliorating EHHU. It is particularly important to understand the similarities and differences in the long‐term development of patients with SCD who demonstrate EHHU versus low hospital use. The optimal strategy for opioid use in the long‐term management of pain in patients with SCD remains to be determined. Alternatives to opioids should be investigated in a controlled trial, and institutional differences should be examined as they relate to EHHU and pain‐management strategies. Lastly, our results suggest that psychosocial and skill rehabilitation may mitigate EHHU, and that multidisciplinary resources proactively directed towards this population will reduce hospitalization.30

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  29. Walker LS,Sherman AL,Bruehl S,Garber J,Smith CA.Functional abdominal pain patient subtypes in childhood predict functional gastrointestinal disorders with chronic pain and psychiatric comorbidities in adolescence and adulthood.Pain.2012;153:17981806.
  30. Artz N,Whelan C,Feehan S.Caring for the adult with sickle cell disease: results of a multidisciplinary pilot program.J Natl Med Assoc.2010;102:10091016.
References
  1. Brousseau DC,Panepinto JA,Nimmer M,Hoffmann RG.The number of people with sickle‐cell disease in the United States: national and state estimates.Am J Hematol.2009;85:7778.
  2. Ballas SK.Current issues in sickle cell pain and its management.Hematology Am Soc Hematol Educ Program.2007:97105.
  3. Smith WR,Penberthy LT,Bovbjerg VE, et al.Daily assessment of pain in adults with sickle cell disease.Ann Intern Med.2008;148:94101.
  4. Brousseau DC,Owens PL,Mosso AL,Panepinto JA,Steiner CA.Acute care utilization and rehospitalizations for sickle cell disease.JAMA.2010;303:12881294.
  5. Carroll CP,Haywood C,Fagan P,Lanzkron S.The course and correlates of high hospital utilization in sickle cell disease: evidence from a large, urban Medicaid managed care organization.Am J Hematol.2009;84:666670.
  6. Shankar SM,Arbogast PG,Mitchel E,Cooper WO,Wang WC,Griffin MR.Medical care utilization and mortality in sickle cell disease: a population‐based study.Am J Hematol.2005;80:262270.
  7. Platt OS,Thorington BD,Brambilla DJ, et al.Pain in sickle cell disease. Rates and risk factors.N Engl J Med.1991;325:1116.
  8. Aisiku IP,Smith WR,McClish DK, et al.Comparisons of high versus low emergency department utilizers in sickle cell disease.Ann Emerg Med.2009;53:587593.
  9. Carroll CP,Haywood C,Lanzkron S.Prediction of onset and course of high hospital utilization in sickle cell disease.J Hosp Med.2011;6:248255.
  10. Chen E,Cole SW,Kato PM.A review of empirically supported psychosocial interventions for pain and adherence outcomes in sickle cell disease.J Pediatr Psychol.2004;29:197209.
  11. Glaser BG.More Grounded Theory Methodology: A Reader.Mill Valley, CA:Sociology Press;1994.
  12. McCracken GD.The Long Interview.Newbury Park, CA:Sage;1988.
  13. Sells D,Topor A,Davidson L.Generating coherence out of chaos: examples of the utility of empathic bridges in phenomenological research.J Phenomenolog Psychol.2004;35:253271.
  14. Davidson L,Wieland M,Flanagan EH,Sells D.Using qualitative methods in clinical research. In: McKay D, ed.Handbook of Research Methods in Abnormal and Clinical Psychology.Los Angeles, CA:Sage;2008:263269.
  15. Shapiro BS,Benjamin LJ,Payne R,Heidrich G.Sickle cell‐related pain: perceptions of medical practitioners.J Pain Symptom Manage.1997;14:168174.
  16. Booker MJ,Blethyn KL,Wright CJ,Greenfield SM.Pain management in sickle cell disease.Chronic Illn.2006;2:3950.
  17. Maxwell K,Streetly A,Bevan D.Experiences of hospital care and treatment‐seeking behavior for pain from sickle cell disease: qualitative study.West J Med.1999;171:306313.
  18. Brousseau DC,Mukonje T,Brandow AM,Nimmer M,Panepinto JA.Dissatisfaction with hospital care for children with sickle cell disease not due only to race and chronic disease.Pediatr Blood Cancer.2009;53:174178.
  19. Gil KM,Abrams MR,Phillips G,Keefe FJ.Sickle cell disease pain: relation of coping strategies to adjustment.J Consult Clin Psychol.1989;57:725731.
  20. Gil KM,Abrams MR,Phillips G,Williams DA.Sickle cell disease pain: 2. Predicting health care use and activity level at 9‐month follow‐up.J Consult Clin Psychol.1992;60:267273.
  21. Anie KA,Steptoe A,Ball S,Dick M,Smalling BM.Coping and health service utilisation in a UK study of paediatric sickle cell pain.Arch Dis Child.2002;86:325329.
  22. Gil KM,Carson JW,Porter LS,Scipio C,Bediako SM,Orringer E.Daily mood and stress predict pain, health care use, and work activity in African American adults with sickle‐cell disease.Health Psychol.2004;23:267274.
  23. Benjamin L.Pain management in sickle cell disease: palliative care begins at birth?Hematology Am Soc Hematol Educ Program.2008:466474.
  24. Schatz J,Finke RL,Kellett JM,Kramer JH.Cognitive functioning in children with sickle cell disease: a meta‐analysis.J Pediatr Psychol.2002;27:739748.
  25. Wills KE,Nelson SC,Hennessy J, et al.Transition planning for youth with sickle cell disease: embedding neuropsychological assessment into comprehensive care.Pediatrics.2010;126(suppl 3):S151S159.
  26. Simoni‐Wastila L.Increases in opioid medication use: balancing the good with the bad.Pain.2008;138:245246.
  27. Mercadante S,Ferrera P,Villari P,Arcuri E.Hyperalgesia: an emerging iatrogenic syndrome.J Pain Symptom Manage.2003;26:769775.
  28. Elander J,Lusher J,Bevan D,Telfer P,Burton B.Understanding the causes of problematic pain management in sickle cell disease: evidence that pseudoaddiction plays a more important role than genuine analgesic dependence.J Pain Symptom Manage.2004;27:156169.
  29. Walker LS,Sherman AL,Bruehl S,Garber J,Smith CA.Functional abdominal pain patient subtypes in childhood predict functional gastrointestinal disorders with chronic pain and psychiatric comorbidities in adolescence and adulthood.Pain.2012;153:17981806.
  30. Artz N,Whelan C,Feehan S.Caring for the adult with sickle cell disease: results of a multidisciplinary pilot program.J Natl Med Assoc.2010;102:10091016.
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Journal of Hospital Medicine - 8(1)
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Journal of Hospital Medicine - 8(1)
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“I'm Talking About Pain”: Sickle cell disease patients with extremely high hospital use
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“I'm Talking About Pain”: Sickle cell disease patients with extremely high hospital use
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Computerized Physician Handoff Tools

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Review of computerized physician handoff tools for improving the quality of patient care

Physician handoff is a common and essential component of daily patient care that includes transfer of important clinical patient information and accountability of patient care. Thus, high‐quality physician handoffs are crucial to ensure patient safety and continuity of patient care, especially with the new resident work hour restriction in North America.[1, 2] As such, healthcare organizations including the World Health Organization[3] have issued specific goals and organizational challenges to improve the effectiveness and coordination of communication among the care/service providers and with the recipients of care/service across the continuum in healthcare.[4, 5]

It has been well‐documented that physician handoffs in hospital settings are often unstructured and not standardized, which leads to medical errors and jeopardizes patient safety.[2, 6, 7, 8, 9, 10, 11, 12] This lack of standardization of physician handoff for hospitalized patients occurs in every major in‐hospital service and affects trainees and staff.[2, 6, 7, 9, 10, 12, 13] It has been demonstrated in healthcare and in other domains that a standardized handoff protocol that involves both verbal communication and written handoff documents is likely to be an effective method of handoff to decrease miscommunication and associated errors.[14, 15, 16, 17] Computerized physician handoff tools (CHTs) have been increasingly deployed to address these challenges and have quickly gained popularity among physicians for documenting patient information during physician handoff for hospitalized patients.[18] CHTs can be an complementary part of electronic medical record (EMR) systems, but not a substitute since their focus is to deliver concise and essential information vital for patient care during interfaces of patient care.

Two recent systematic reviews have examined information technology (IT) systems to promote the handoff process in healthcare.[17, 19] However, to our knowledge, there has not been a systematic review of the potential role of CHT in physician handoff and quality of patient care for hospitalized patients. We therefore conducted a systematic review to examine the current evidence for CHTs in physician handoff for hospitalized patients, focusing specifically on potential effects on continuity of patient care, physician work efficiency, quality of handoffs, and patient outcomes.

METHODS

Criteria for Considering Eligible Studies

We included randomized controlled trials, controlled clinical trial, quasi‐experimental studies, and controlled beforeafter studies that evaluated CHTs during physician handoff of hospitalized patients. Studies needed to report patient outcomes (adverse events, missing patients at rounds, or in‐hospital mortality), physician work efficiency, quality of handoff (accuracy, consistency, or completeness), continuity of care, or physician satisfaction. Articles that met all these inclusion criteria were considered to be eligible for the review. We excluded review articles, commentaries, case reports, and retrospective studies.

Search Strategy

CHTs were defined as computer‐based platforms, designed specifically for the purpose of physician handoff, to allow distributed access and synchronous archiving of patient information via Internet protocols (ie, electronic tool to allow physician data access and data entry for handoff from different computers at multiple locations within the authorized hospitals or clinics). A search strategy was developed based on a MEDLINE search format combined with our inclusion criteria and with this definition of CHTs. We used search terms related to physician communication and information technology, and relevant Medical Subjects Headings, which include handover, handoff, signoff, sign‐over, off‐duty, post‐call, computerized, Web‐based, communication tool. The databases, including MEDLINE, PUBMED, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Cochrane database for systematic reviews, and the Cochrane CENTRAL register of controlled trials, were initially searched from 1985 to December 2011 in all languages. The Cochrane Collaboration filter for controlled interventional studies was used to select the above‐mentioned interventional trial designs. In addition, the first 2 authors hand searched the references of included articles and relevant systematic reviews.

Screening for Eligible Studies

All articles identified in the database searches described above were included for screening in 2 stages. First, 2 reviewers (P.L., S.A.) independently reviewed the title and abstracts of the identified articles for eligibility. The articles selected in the first stage of screening were then further assessed by a full‐text review independently by the 2 reviewers. Any discrepancy was resolved by consensus or by involvement of a third reviewer (C.T.).

Data Abstraction and Analysis

Data abstraction from selected studies was conducted independently by 3 authors based on a predefined template. All discrepancies in this stage were resolved by consensus among the 3 authors. For each study, we analyzed study design, data collection, intervention, main outcomes, and components of physician handoffs in the study. Due to heterogeneity of study outcomes, measures used, and results, a meta‐analysis was not performed. Study outcomes, which included adverse events, missing patients at rounds, time spent on rounding patient, accuracy, consistency or completeness of handoff information, and continuity of care, were summarized.

RESULTS

Study Selection

A total of 1026 citations were identified in the initial search, of which 1006 studies did not evaluate CHT and were excluded by title and abstract screening. Of the 20 studies evaluated further by full‐text review, 5 were selected for the final analysis. One additional study was identified by hand searching references. The kappa score of inter‐reviewer agreement on article selection in the first stage of screening was 0.7, and for the second stage of article selection, kappa was 1.0. The reasons for exclusion in the second selection step are presented in Figure 1.

Figure 1
Flow chart of study inclusion.

Study Characteristics

Of the 6 studies identified, 1 study was a randomized controlled trial[20] and the other 5 were controlled beforeafter studies.[21, 22, 23, 24, 25] All studies were conducted in teaching hospitals in English‐speaking high‐income countries. All were single‐center studies, except the study by Van Eaton et[20] that involved 2 centers. All the studies investigated physician handoffs conducted by trainees. Two studies included staff physicians.[22, 24] Van Eaton et al's study included general medical, general surgical, and subspecialty surgical services.[20] The other 5 studies assessed physician handoffs in family medicine,[25] internal medicine services,[21, 23] a surgical service,[22] and a neonatal intensive care unit.[24] The study by Van Eaton et al[20] enrolled the largest study population. The intervention or observation phase ranged from 1 month[20] to 6 months[24] (Table 1).

Study Characteristics Included in the Review
Study Design Setting Target Services Intervention Group Control Group Data Collection and Validation
  • Abbreviations: CHT, computerized physician handoff tool; EMR, electronic medical record; NICU, neonatal intensive care unit.
Ram and Block[25] (1992) Beforeafter study 150‐bed urban hospital in USA Family Medicine Residents (N = 7) Patient no. not reported 1 mo of intervention No CHT training prior to the intervention reported Patient no. not reported Traditional handoff note (on index card or previous list) Components of handoff note not reported Questionnaire No data validation
Peterson et al[21] (1998) Beforeafter study 720‐bed tertiary care hospital in USA All Internal Medicine Services Residents (N = 99) 3747 patients 4 mo of intervention 8 wk of run‐in period 1874 patients Handwritten handoff Components of handoff note not reported Self‐report using e‐mail, report card, in person chart review for unreported adverse events in 250 samples
Van Eaton et al[20] (2005) Randomized cross‐over trial 450‐bed tertiary care hospital and a 368‐bed trauma center in USA General Medicine, General Surgery, and Subspecialties Trauma Residents (N = 7 teams) 8018 patients 14 wk of randomized crossover period 6 wk of run‐in period 7569 patients Individual written lists, cards, a team‐developed computer‐generated spreadsheet Components of handoff note not reported Telephone interview and anonymous online survey No validation of data
Cheah et al[22] (2005) Beforesfter atudy A 400‐bed regional teaching hospital in Australia General Surgery Registrars and Residents (N = 714) Patient no. not reported 3 mo of observation period (for weekend coverage only) No CHT training prior to the intervention reported Patient no. not reported No description of pre‐intervention handoff method reported In‐person interview and survey No validation of data
Flanagan et al[23] (2009) Beforesfter atudy Tertiary care hospital in USA Internal Medicine, Medical Intensive Care Unit First‐year Residents (N = 35) 1264 patient handoff forms 1 mo of observation Orientation session and 1 cross‐over shift of run‐in period Patient no. not reported No description of pre‐CHT implementation handoff method reported In‐person interview and survey No validation of data
Palma et al[24] (2011) Beforeafter study 304‐bed quaternary care women and children hospital in USA NICU Attendings, Residents, Nursing staffs (N = 4652) Patient no. not reported 6 mo of intervention of NICU handoff tool Instruction document by e‐mail and informal instructional session Patient no. not reported A Microsoft‐based standalone handoff tool or EMR integrated Medical/Surgical handoff tool Components of handoff note not reported Online survey No validation of data

CHT Characteristics

Three CHTs were standalone applications designed specifically for physician handoffs.[20, 22, 25] The other 3 CHTs were add‐on functions to existing hospital Electric Medical Record (EMR) systems.[21, 23, 24] All CHTs except one[25] interfaced with existing EMR systems, allowing for variable degrees of data transfer depending on CHT design and the functionalities of the EMR systems. CHT users were actively involved in designing and modifying the CHTs in most of the studies.[20, 21, 23, 25] The characteristics of the CHTs were summarized in Table 2.

Characteristics of CHTs
Study CHT Design EMR Interface Physician Daily Progress Note Participants' Role in CHT Design Components of CHT Components That Require Manual Input
  • Abbreviations: CHT, computerized physician handoff tool; EMR, electronic medical record; IT, information technology.
Ram and Block[25] (1992) Standalone application No interface Paper‐based Designing Patient demographics Medications Diagnosis Problem lists Comment line All the information
Peterson et al[21] (1998) A part of existing EMR Bi‐directional interface Paper‐based Designing Patient demographics Current medication Allergy Code status Recent lab value A problem list A to do list A problem list A to do list
Van Eaton et al[20] (2005) Standalone application Uni‐directional interface (data input from hospital IT system) Electronic‐based Designing and modifying Patient demographics Diagnosis Medication Allergy Vital signs Lab and investigation A problem list A to do list Diagnosis Medication A problem list A to do list
Cheah et al[22] (2005) Standalone application Uni‐directional interface (data input from hospital IT system) Electronic‐based No Patient demographics Diagnosis Length of stay Recent investigations Free‐text note (Not standardized) Free‐text note
Flanagan et al[23] (2009) A part of existing EMR Uni‐directional interface (data input from hospital IT system) Electronic‐based Evaluating and modifying Patient demographics Medication Allergy Lab and investigation Physician daily note Free‐text note (not standardized) Free‐text note (may contain assessment, a problem list, venous access, short‐term concerns and long‐term plan, and follow‐up tasks)
Palma et al[24] (2011) A part of existing EMR Uni‐directional interface (data input from hospital IT system) Paper‐based No Patient demographics Lab and measurement Free‐text note (not standardized) Free‐text note (including patient description, active medical issues, ongoing care and a to do list)

CHT's Impact on Adverse Events

The impact of CHTs on preventable adverse events was evaluated in a single study by Peterson et al.[21] The authors defined an adverse event as an injury due to medical treatment which prolonged hospital stay or produced disability at discharge in the study. Preventability was determined by using a 6‐point scale and assessed independently by 3 reviewers. Fewer adverse events were found after implementation of CHTs (2.38% vs 3.94%, P < 0.001). They also reported nonsignificant reductions in preventable adverse events (1.23% vs 1.72%, P < 0.1) with implementation of the CHT, and preventable adverse events during cross‐coverage (0.24% vs 0.38%, P > 0.10). The odds ratio for a patient experiencing a preventable adverse event during cross‐coverage compared to noncross‐coverage time was reduced from 5.2 (95% confidence interval [CI], 1.518.2) to 1.5 (95% CI, 0.29.0) following implementation of the CHT (Table 3).

Description of Study Outcomes and Recommendations for CHT
Study Outcomes of Interest Results Implication for CHT Design and Use
  • Abbreviations: CHT, computerized physician handoff tool; IT, information technology.
Ram and Block[25] (1992) Physician satisfaction Importance and accessibility of clinical information Improved physician satisfaction Handoff documentation more legible, more consistent, and more comprehensive Information required to be typed in by residents and not up‐to‐date The most important data for handoff: a to do list and code status A CHT interfaced with hospital IT system, and in a format that can focus on physician needs
Petersen et al[21] (1998) Adverse event rate Preventable adverse events rate Fewer adverse events (2.38% vs 3.94%, P < 0.001) Fewer preventable adverse events (1.23% vs 1.72%, P < 0.1) Few preventable adverse events during cross‐coverage (0.24% vs 0.38%, P > 0.10) Lower OR of preventable adverse events during cross‐coverage (1.5; 95% CI 0.29.0 vs 5.2; 95% CI 1.58.2) Active involvement in the design of CHT by house staff likely contributes to high participation and CHT use rate in the study
Van Eaton et al[20] (2005) No. of patients missed on rounds Perception on continuity of care quality and workflow efficiency Daily self‐reported pre‐rounding and rounding times and tasks Reduced the no. of patients missed on rounds (2.5 patients/team/mo) (P = 0.0001) Spent 40% more time with patients at pre‐rounds Reduced time on team rounds by 1.5 min per patient Reduced time on manual copying at pre‐rounding by 50% Improved handoff quality Improved continuity of care No reduction of overall pre‐rounding time The largest benefit from CHTs varies between clinical services, from more time assessing patients before rounds in Internal Medicine to reduced backtracking and locating patients in Surgery
Cheah et al[22] (2005) Completeness and usefulness of handoff information Desirability of electronic handoff system Identified information set for handoff Free text entry in CHT often deficient in particular patient information Concerns of the completeness and consistency of information delivered in CHT CHT needs to be linked to hospital information system
Flanagan et al[23] (2009) Common data elements of interest extracted during physician handoff Missing data required during handoff Physicians' perception of CHT Additional important information needed that not included during handoff in 25% cases Code status, relevant lab data, short‐term concerns, a problem list, and a if‐then list should be included in CHT template A standard form reduces variability of handoff information
Palma et al[24] (2011) Accuracy of handoff information Healthcare provider satisfaction Improved perceived accuracy of handoff information (91% vs 78%, P <0.01) Improved satisfaction with handoff process (71% vs 35%, P < 0.01) Improved satisfaction with handoff documents (98% vs 91%, P <0.01) More time spent on updating handoff information (1620 min vs 1115 min, P = 0.03) A discipline‐specific handoff tool results in perceived handoff accuracy and satisfaction A more efficient handoff tool can be achieved by more extensive data transfer from hospital IT system

CHT's Impact on Physician Work Efficiency

Van Eaton et al's study examined the effect of CHTs on physician work efficiency.[20] Improved physician work efficiency was found following implementation of CHT. Self‐reported time spent on hand‐copying patient information was reduced by 50%, while the portion of time spent on seeing patients during pre‐rounding increased. Similarly, self‐reported time spent on each patient during rounding (routine patient assessment by the primary team) was decreased by 1.5 minutes. Overall, resident physicians subjectively reported an average time saving of 45 minutes daily for junior residents and 30 minutes for senior residents, and 81% of residents reported finishing their work sooner when using CHTs. Although no data were reported in the pre‐CHT period described in the study by Cheah et al, they indicated that work efficiency was felt to be improved because all physicians could locate their patients quickly and were pleased to be able to check patients' lab results in the CHT.[22] Conversely, Palma et al and Ram and Block reported perceived increased work load with CHTs by users due to time spent updating handoff information.[24, 25]

CHT's Impact on Quality of Physician Handoff

Overall quality of physician handoff and completeness of the handoff document was improved in 3 studies.[20, 24, 25] Flanagan et al reported that patient identifiers and medications were extracted most of the time.[23] However, there were concerns regarding consistency,[22] completeness[22, 23] of information provided during physician handoff using CHTs. Palma et al's and Ram and Block's studies[24, 25] commented on the accuracy of patient information communicated during physician handoff. While Ram and Block's study suggested that it may be poorer during the intervention period,[25] Palma et al's study found improved perceived accuracy of handoff information postimplementation of a CHT (98% vs 91%, P < 0.01).[24]

CHT's Impact on Continuity of Patient Care

Using CHTs was associated with a decreased number of patients missed on rounds after handoff (new admitted patients who were not assessed by the primary team in the morning rounds because cross‐covering physicians did not inform the primary team) in Van Eaton et al's study.[20] On the other hand, Cheah et al[22] reported that documented handoffs after physicians returned to duty occurred on 50% of patients who had experienced important clinical events on weekends.

DISCUSSION

Our systematic review identified 6 controlled studies of CHT. Outcome parameters reported in these studies included quality of the handoff (including completeness, accuracy, and consistency), physician time management, continuity of care, adverse events, and missed patients. Our results suggest that while CHT are a promising tool, further evaluation using rigorous study methodologies is needed. These findings are somewhat surprising given increasing popularity of CHTs in daily patient care.[19, 24, 26, 27, 28] This might be due to the fact that IT adoption and use in healthcare is still in a phase of relative infancy,[29] and that the success of adopting IT systems in healthcare depends on various factors.[30]

Roles of CHT in Physician Handoff for Hospitalized Patients

Our study indicates that CHT can potentially improve continuity of patient care by reducing the number of missing patients during rounds following handoff,[20] and similarly improve patient safety by decreasing adverse events and preventable adverse events.[21] Of note, users reported that they were able to spend more time with patients during pre‐rounding[20] which will likely enhance quality and continuity of patient care. However, it is unclear whether these improvements translate into better patient outcomes. Although Peterson et al attempted to minimize the risk of bias by using anonymous reporting and blinding participants to the timing of data collection,[21] adverse events during the intervention period could have been underestimated due to surveillance bias or decreased self‐reporting. Nevertheless, the results suggest that CHTs may have affected quality of patient care in a positive manner from included studies.

The findings from our review also point to a positive impact of CHT on physician work efficiency. Specifically, residents spent less time rounding on patients after handoff and finished their work sooner after introduction of the intervention.[20] Several other published studies on CHT also indicated potential benefits on work efficiency and/or patient safety,[31, 33, 34, 35] although they did not meet the inclusion criteria for our study (prespecified outcomes not reported,[31, 35] or study design[33, 34, 35]). In the studies in which the majority of handoff information was manually typed in the CHT, the work load was perceived to be increased with CHT implementation.[24, 25] On the other hand, the study conducted by Van Eaton et al demonstrated that a CHT that had broad integration with the hospital main IT system, and could automatically transfer important patient information such as medication, medical problems, recent investigation, and vital signs into CHT, quickly gained popularity among residents and staff due to its user‐friendly features.[20] This integration can also potentially reduce miscommunication and associated medical errors during physician handoff. Palma et al's study reported higher perceived workload due to manual entry of patient data.[24] Although the CHT used in their study was developed within their existing EMR system, large amounts of information needed to be manually imputed, and thus increased time spent on updating handoff information. This information included patient demographics, active medical issues, a to do list, and on‐going issues,[24] some of which could be imputed automatically with better CHT design. It is also possible that users spent more time in updating the handoff because they were able to deliver more information using a CHT.[24] However, this may allow cross‐covering physicians to spend less time on looking for patient information from other sources and thus actually decrease workload during cross‐coverage. Although there are numerous factors that could affect physician work efficiency when using a new IT system,[30] it was felt that a well‐designed and easy‐to‐use CHT that is integrated with the hospital information system can improve physician productivity.

The role of CHT in improving quality of handoff is less clear. Three studies[20, 24, 25] found an overall improvement in the quality of handoff after implementation of CHT, such that the handoff information was more complete and more consistent. On the other hand, physicians were concerned about the comprehensiveness of physician handoff after implementation of CHT in 2 studies.[22, 23] In Ram and Block's study,[25] physicians relied heavily on an unstructured free‐text entry system to deliver the majority of patient information that physicians thought to be important. In Flanagan et al's study,[23] resident physicians had to search for alternative sources, such as patient charts and electronic order systems, to obtain vital information in many cases in spite of a structured CHT. As a result, the information available was often not sufficient to help on‐call physicians make patient care decisions.[23]

Implication of CHT Design and Use

It has been demonstrated in many non‐healthcare domains,[15, 36, 37] as well as nursing care,[38] that a standardized handoff protocol is vital to decrease medical errors and improve patient safety. In our review, we found that physicians generally reported being satisfied with the accuracy of handoff information and the overall handoff when using standardized CHTs interfaced with hospital IT systems. This suggests, as recommended by Flanagan et al,[23] Palma et al,[24] and Ram and Block[25] that CHTs be developed with a standardized protocol and wide integration into hospital IT systems.

In order to achieve this goal, key patient information necessary for patient care need to be communicated during physician handoff. As hospitals consist of a wide range of disciplines and specialties with varying cultures and focuses of patient information, it is likely difficult to develop a single panacea CHT template for all the in‐hospital services.[1] This may be even particularly relevant when developing CHTs for different hospital services. However, some patient information appears to be universally important for physician handoff for inpatient care. Key elements, such as patient demographics, diagnosis, outstanding investigation results, code status, a problem list, and a to do list, were noted to be consistently present in the CHTs that were evaluated in our review (Table 2). Other studies have also demonstrated that information items such as a to do list, outstanding investigation results, and patients' code status were regarded as the most important information during physician handoff.[1, 2, 17, 23, 39, 40] Based on these findings, a potential solution for CHT standardization would be to develop a core CHT which includes the universally important components of physician handoff identified in this review, and provides options for adding well‐categorized service‐specific information as needed (eg, type and date of surgical procedures for surgical patients). It also appears that active involvement of physicians in CHT design and modification facilitates successful implementation of CHT, as demonstrated in Van Eaton et al's and Peterson et al's studies.[20, 21]

It is difficult to recommend metrics for CHT evaluation based on the limited literature identified in our review. However, it appears to be reasonable to consider integration into existing IT system, user friendly features, impact on quality of handoff documents, work efficiency, and processes and outcomes of patient care when assessing CHTs.

Limitations

There are several limitations in the studies included in our review. None of the studies were multi‐centered. The majority of the included studies had a beforeafter design.[21, 22, 23, 24, 25] Some studies did not have user training or a run in period to ensure familiarity of CHTs by users.[22, 24, 25] None of the studies described the key components of handoff in the control groups, or used quality control measurements for user familiarity with the CHTs. Furthermore, outcomes reported by the studies were heterogeneous, subjective, based on participant self‐report, and not independently validated.

Our review also has also several limitations. First, in spite of a comprehensive search effort, it is possible that we failed to identify all relevant articles. However, this is unlikely, given that we searched multiple databases and performed hand searches of all references identified from the included articles, as well as content‐related previously published systematic reviews. Second, we were not able to perform a meta‐analysis, given the heterogeneity seen in outcomes assessed across studies, measures applied, and results presented.

CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

Although the current literature suggests that implementation of CHTs is likely to improve physician work efficiency, satisfaction, and quality of patient care during physician handoff for hospitalized patients, the evidence supporting these potential benefits is limited. Furthermore, it is unknown what impacts CHTs may have on clinical outcomes, such as hospital length of stay and mortality. Further studies with larger sample size, multiple center involvement, and more objective patient outcome measurements are therefore needed to evaluate the roles of CHTs in physician handoff and improving the quality of patient care.

In the absence of larger studies evaluating major clinical outcomes, such as length of stay and mortality, hospitals considering innovations in the domain of computerized platforms for physician handoffs will need to consider the pros and cons of immediate system implementation on the basis of the evidence presented here versus waiting until there is more evidence from more definitive studies. In addition, our study suggests that organizations engage physicians during CHT design and develop a standardized CHT protocol that is interfaced with hospital IT systems and includes key components of handoff information, but provides flexibility to meet service‐specific needs. The evidence summarized here, while far from definitive for major outcomes, is nonetheless rather positive for the general benefits of CHTan impetus for careful design, implementation, and modification, whenever and wherever possible. Any such system implementations should, however, incorporate an evaluative component so that the evidence‐base surrounding CHT can be enhanced.

Acknowledgments

Disclosure: Nothing to report.

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References
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  6. 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(10):884894.
  7. Gandhi TK. Fumbled handoffs: one dropped ball after another. Ann Intern Med. 2005;142(5):352358.
  8. 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.
  9. Horwitz LI, Moin T, Krumholz HM, et al. Consequences of inadequate sign‐out for patient care. Arch Intern Med. 2008;168(16):17551760.
  10. Horwitz LI, Moin T, Krumholz HM, et al. What are covering doctors told about their patients? Analysis of sign‐out among internal medicine house staff. Qual Saf Health Care. 2009;18(4):248255.
  11. Horwitz LI, Meredith T, Schuur JD, et al. Dropping the baton: a qualitative analysis of failures during the transition from emergency department to inpatient care. Ann Emerg Med. 2009;53(6):701710.
  12. Singh H, Thomas EJ, Petersen LA, Studdert DM. Medical errors involving trainees: a study of closed malpractice claims from 5 insurers. Arch Intern Med. 2007;167(19):20302036.
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Physician handoff is a common and essential component of daily patient care that includes transfer of important clinical patient information and accountability of patient care. Thus, high‐quality physician handoffs are crucial to ensure patient safety and continuity of patient care, especially with the new resident work hour restriction in North America.[1, 2] As such, healthcare organizations including the World Health Organization[3] have issued specific goals and organizational challenges to improve the effectiveness and coordination of communication among the care/service providers and with the recipients of care/service across the continuum in healthcare.[4, 5]

It has been well‐documented that physician handoffs in hospital settings are often unstructured and not standardized, which leads to medical errors and jeopardizes patient safety.[2, 6, 7, 8, 9, 10, 11, 12] This lack of standardization of physician handoff for hospitalized patients occurs in every major in‐hospital service and affects trainees and staff.[2, 6, 7, 9, 10, 12, 13] It has been demonstrated in healthcare and in other domains that a standardized handoff protocol that involves both verbal communication and written handoff documents is likely to be an effective method of handoff to decrease miscommunication and associated errors.[14, 15, 16, 17] Computerized physician handoff tools (CHTs) have been increasingly deployed to address these challenges and have quickly gained popularity among physicians for documenting patient information during physician handoff for hospitalized patients.[18] CHTs can be an complementary part of electronic medical record (EMR) systems, but not a substitute since their focus is to deliver concise and essential information vital for patient care during interfaces of patient care.

Two recent systematic reviews have examined information technology (IT) systems to promote the handoff process in healthcare.[17, 19] However, to our knowledge, there has not been a systematic review of the potential role of CHT in physician handoff and quality of patient care for hospitalized patients. We therefore conducted a systematic review to examine the current evidence for CHTs in physician handoff for hospitalized patients, focusing specifically on potential effects on continuity of patient care, physician work efficiency, quality of handoffs, and patient outcomes.

METHODS

Criteria for Considering Eligible Studies

We included randomized controlled trials, controlled clinical trial, quasi‐experimental studies, and controlled beforeafter studies that evaluated CHTs during physician handoff of hospitalized patients. Studies needed to report patient outcomes (adverse events, missing patients at rounds, or in‐hospital mortality), physician work efficiency, quality of handoff (accuracy, consistency, or completeness), continuity of care, or physician satisfaction. Articles that met all these inclusion criteria were considered to be eligible for the review. We excluded review articles, commentaries, case reports, and retrospective studies.

Search Strategy

CHTs were defined as computer‐based platforms, designed specifically for the purpose of physician handoff, to allow distributed access and synchronous archiving of patient information via Internet protocols (ie, electronic tool to allow physician data access and data entry for handoff from different computers at multiple locations within the authorized hospitals or clinics). A search strategy was developed based on a MEDLINE search format combined with our inclusion criteria and with this definition of CHTs. We used search terms related to physician communication and information technology, and relevant Medical Subjects Headings, which include handover, handoff, signoff, sign‐over, off‐duty, post‐call, computerized, Web‐based, communication tool. The databases, including MEDLINE, PUBMED, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Cochrane database for systematic reviews, and the Cochrane CENTRAL register of controlled trials, were initially searched from 1985 to December 2011 in all languages. The Cochrane Collaboration filter for controlled interventional studies was used to select the above‐mentioned interventional trial designs. In addition, the first 2 authors hand searched the references of included articles and relevant systematic reviews.

Screening for Eligible Studies

All articles identified in the database searches described above were included for screening in 2 stages. First, 2 reviewers (P.L., S.A.) independently reviewed the title and abstracts of the identified articles for eligibility. The articles selected in the first stage of screening were then further assessed by a full‐text review independently by the 2 reviewers. Any discrepancy was resolved by consensus or by involvement of a third reviewer (C.T.).

Data Abstraction and Analysis

Data abstraction from selected studies was conducted independently by 3 authors based on a predefined template. All discrepancies in this stage were resolved by consensus among the 3 authors. For each study, we analyzed study design, data collection, intervention, main outcomes, and components of physician handoffs in the study. Due to heterogeneity of study outcomes, measures used, and results, a meta‐analysis was not performed. Study outcomes, which included adverse events, missing patients at rounds, time spent on rounding patient, accuracy, consistency or completeness of handoff information, and continuity of care, were summarized.

RESULTS

Study Selection

A total of 1026 citations were identified in the initial search, of which 1006 studies did not evaluate CHT and were excluded by title and abstract screening. Of the 20 studies evaluated further by full‐text review, 5 were selected for the final analysis. One additional study was identified by hand searching references. The kappa score of inter‐reviewer agreement on article selection in the first stage of screening was 0.7, and for the second stage of article selection, kappa was 1.0. The reasons for exclusion in the second selection step are presented in Figure 1.

Figure 1
Flow chart of study inclusion.

Study Characteristics

Of the 6 studies identified, 1 study was a randomized controlled trial[20] and the other 5 were controlled beforeafter studies.[21, 22, 23, 24, 25] All studies were conducted in teaching hospitals in English‐speaking high‐income countries. All were single‐center studies, except the study by Van Eaton et[20] that involved 2 centers. All the studies investigated physician handoffs conducted by trainees. Two studies included staff physicians.[22, 24] Van Eaton et al's study included general medical, general surgical, and subspecialty surgical services.[20] The other 5 studies assessed physician handoffs in family medicine,[25] internal medicine services,[21, 23] a surgical service,[22] and a neonatal intensive care unit.[24] The study by Van Eaton et al[20] enrolled the largest study population. The intervention or observation phase ranged from 1 month[20] to 6 months[24] (Table 1).

Study Characteristics Included in the Review
Study Design Setting Target Services Intervention Group Control Group Data Collection and Validation
  • Abbreviations: CHT, computerized physician handoff tool; EMR, electronic medical record; NICU, neonatal intensive care unit.
Ram and Block[25] (1992) Beforeafter study 150‐bed urban hospital in USA Family Medicine Residents (N = 7) Patient no. not reported 1 mo of intervention No CHT training prior to the intervention reported Patient no. not reported Traditional handoff note (on index card or previous list) Components of handoff note not reported Questionnaire No data validation
Peterson et al[21] (1998) Beforeafter study 720‐bed tertiary care hospital in USA All Internal Medicine Services Residents (N = 99) 3747 patients 4 mo of intervention 8 wk of run‐in period 1874 patients Handwritten handoff Components of handoff note not reported Self‐report using e‐mail, report card, in person chart review for unreported adverse events in 250 samples
Van Eaton et al[20] (2005) Randomized cross‐over trial 450‐bed tertiary care hospital and a 368‐bed trauma center in USA General Medicine, General Surgery, and Subspecialties Trauma Residents (N = 7 teams) 8018 patients 14 wk of randomized crossover period 6 wk of run‐in period 7569 patients Individual written lists, cards, a team‐developed computer‐generated spreadsheet Components of handoff note not reported Telephone interview and anonymous online survey No validation of data
Cheah et al[22] (2005) Beforesfter atudy A 400‐bed regional teaching hospital in Australia General Surgery Registrars and Residents (N = 714) Patient no. not reported 3 mo of observation period (for weekend coverage only) No CHT training prior to the intervention reported Patient no. not reported No description of pre‐intervention handoff method reported In‐person interview and survey No validation of data
Flanagan et al[23] (2009) Beforesfter atudy Tertiary care hospital in USA Internal Medicine, Medical Intensive Care Unit First‐year Residents (N = 35) 1264 patient handoff forms 1 mo of observation Orientation session and 1 cross‐over shift of run‐in period Patient no. not reported No description of pre‐CHT implementation handoff method reported In‐person interview and survey No validation of data
Palma et al[24] (2011) Beforeafter study 304‐bed quaternary care women and children hospital in USA NICU Attendings, Residents, Nursing staffs (N = 4652) Patient no. not reported 6 mo of intervention of NICU handoff tool Instruction document by e‐mail and informal instructional session Patient no. not reported A Microsoft‐based standalone handoff tool or EMR integrated Medical/Surgical handoff tool Components of handoff note not reported Online survey No validation of data

CHT Characteristics

Three CHTs were standalone applications designed specifically for physician handoffs.[20, 22, 25] The other 3 CHTs were add‐on functions to existing hospital Electric Medical Record (EMR) systems.[21, 23, 24] All CHTs except one[25] interfaced with existing EMR systems, allowing for variable degrees of data transfer depending on CHT design and the functionalities of the EMR systems. CHT users were actively involved in designing and modifying the CHTs in most of the studies.[20, 21, 23, 25] The characteristics of the CHTs were summarized in Table 2.

Characteristics of CHTs
Study CHT Design EMR Interface Physician Daily Progress Note Participants' Role in CHT Design Components of CHT Components That Require Manual Input
  • Abbreviations: CHT, computerized physician handoff tool; EMR, electronic medical record; IT, information technology.
Ram and Block[25] (1992) Standalone application No interface Paper‐based Designing Patient demographics Medications Diagnosis Problem lists Comment line All the information
Peterson et al[21] (1998) A part of existing EMR Bi‐directional interface Paper‐based Designing Patient demographics Current medication Allergy Code status Recent lab value A problem list A to do list A problem list A to do list
Van Eaton et al[20] (2005) Standalone application Uni‐directional interface (data input from hospital IT system) Electronic‐based Designing and modifying Patient demographics Diagnosis Medication Allergy Vital signs Lab and investigation A problem list A to do list Diagnosis Medication A problem list A to do list
Cheah et al[22] (2005) Standalone application Uni‐directional interface (data input from hospital IT system) Electronic‐based No Patient demographics Diagnosis Length of stay Recent investigations Free‐text note (Not standardized) Free‐text note
Flanagan et al[23] (2009) A part of existing EMR Uni‐directional interface (data input from hospital IT system) Electronic‐based Evaluating and modifying Patient demographics Medication Allergy Lab and investigation Physician daily note Free‐text note (not standardized) Free‐text note (may contain assessment, a problem list, venous access, short‐term concerns and long‐term plan, and follow‐up tasks)
Palma et al[24] (2011) A part of existing EMR Uni‐directional interface (data input from hospital IT system) Paper‐based No Patient demographics Lab and measurement Free‐text note (not standardized) Free‐text note (including patient description, active medical issues, ongoing care and a to do list)

CHT's Impact on Adverse Events

The impact of CHTs on preventable adverse events was evaluated in a single study by Peterson et al.[21] The authors defined an adverse event as an injury due to medical treatment which prolonged hospital stay or produced disability at discharge in the study. Preventability was determined by using a 6‐point scale and assessed independently by 3 reviewers. Fewer adverse events were found after implementation of CHTs (2.38% vs 3.94%, P < 0.001). They also reported nonsignificant reductions in preventable adverse events (1.23% vs 1.72%, P < 0.1) with implementation of the CHT, and preventable adverse events during cross‐coverage (0.24% vs 0.38%, P > 0.10). The odds ratio for a patient experiencing a preventable adverse event during cross‐coverage compared to noncross‐coverage time was reduced from 5.2 (95% confidence interval [CI], 1.518.2) to 1.5 (95% CI, 0.29.0) following implementation of the CHT (Table 3).

Description of Study Outcomes and Recommendations for CHT
Study Outcomes of Interest Results Implication for CHT Design and Use
  • Abbreviations: CHT, computerized physician handoff tool; IT, information technology.
Ram and Block[25] (1992) Physician satisfaction Importance and accessibility of clinical information Improved physician satisfaction Handoff documentation more legible, more consistent, and more comprehensive Information required to be typed in by residents and not up‐to‐date The most important data for handoff: a to do list and code status A CHT interfaced with hospital IT system, and in a format that can focus on physician needs
Petersen et al[21] (1998) Adverse event rate Preventable adverse events rate Fewer adverse events (2.38% vs 3.94%, P < 0.001) Fewer preventable adverse events (1.23% vs 1.72%, P < 0.1) Few preventable adverse events during cross‐coverage (0.24% vs 0.38%, P > 0.10) Lower OR of preventable adverse events during cross‐coverage (1.5; 95% CI 0.29.0 vs 5.2; 95% CI 1.58.2) Active involvement in the design of CHT by house staff likely contributes to high participation and CHT use rate in the study
Van Eaton et al[20] (2005) No. of patients missed on rounds Perception on continuity of care quality and workflow efficiency Daily self‐reported pre‐rounding and rounding times and tasks Reduced the no. of patients missed on rounds (2.5 patients/team/mo) (P = 0.0001) Spent 40% more time with patients at pre‐rounds Reduced time on team rounds by 1.5 min per patient Reduced time on manual copying at pre‐rounding by 50% Improved handoff quality Improved continuity of care No reduction of overall pre‐rounding time The largest benefit from CHTs varies between clinical services, from more time assessing patients before rounds in Internal Medicine to reduced backtracking and locating patients in Surgery
Cheah et al[22] (2005) Completeness and usefulness of handoff information Desirability of electronic handoff system Identified information set for handoff Free text entry in CHT often deficient in particular patient information Concerns of the completeness and consistency of information delivered in CHT CHT needs to be linked to hospital information system
Flanagan et al[23] (2009) Common data elements of interest extracted during physician handoff Missing data required during handoff Physicians' perception of CHT Additional important information needed that not included during handoff in 25% cases Code status, relevant lab data, short‐term concerns, a problem list, and a if‐then list should be included in CHT template A standard form reduces variability of handoff information
Palma et al[24] (2011) Accuracy of handoff information Healthcare provider satisfaction Improved perceived accuracy of handoff information (91% vs 78%, P <0.01) Improved satisfaction with handoff process (71% vs 35%, P < 0.01) Improved satisfaction with handoff documents (98% vs 91%, P <0.01) More time spent on updating handoff information (1620 min vs 1115 min, P = 0.03) A discipline‐specific handoff tool results in perceived handoff accuracy and satisfaction A more efficient handoff tool can be achieved by more extensive data transfer from hospital IT system

CHT's Impact on Physician Work Efficiency

Van Eaton et al's study examined the effect of CHTs on physician work efficiency.[20] Improved physician work efficiency was found following implementation of CHT. Self‐reported time spent on hand‐copying patient information was reduced by 50%, while the portion of time spent on seeing patients during pre‐rounding increased. Similarly, self‐reported time spent on each patient during rounding (routine patient assessment by the primary team) was decreased by 1.5 minutes. Overall, resident physicians subjectively reported an average time saving of 45 minutes daily for junior residents and 30 minutes for senior residents, and 81% of residents reported finishing their work sooner when using CHTs. Although no data were reported in the pre‐CHT period described in the study by Cheah et al, they indicated that work efficiency was felt to be improved because all physicians could locate their patients quickly and were pleased to be able to check patients' lab results in the CHT.[22] Conversely, Palma et al and Ram and Block reported perceived increased work load with CHTs by users due to time spent updating handoff information.[24, 25]

CHT's Impact on Quality of Physician Handoff

Overall quality of physician handoff and completeness of the handoff document was improved in 3 studies.[20, 24, 25] Flanagan et al reported that patient identifiers and medications were extracted most of the time.[23] However, there were concerns regarding consistency,[22] completeness[22, 23] of information provided during physician handoff using CHTs. Palma et al's and Ram and Block's studies[24, 25] commented on the accuracy of patient information communicated during physician handoff. While Ram and Block's study suggested that it may be poorer during the intervention period,[25] Palma et al's study found improved perceived accuracy of handoff information postimplementation of a CHT (98% vs 91%, P < 0.01).[24]

CHT's Impact on Continuity of Patient Care

Using CHTs was associated with a decreased number of patients missed on rounds after handoff (new admitted patients who were not assessed by the primary team in the morning rounds because cross‐covering physicians did not inform the primary team) in Van Eaton et al's study.[20] On the other hand, Cheah et al[22] reported that documented handoffs after physicians returned to duty occurred on 50% of patients who had experienced important clinical events on weekends.

DISCUSSION

Our systematic review identified 6 controlled studies of CHT. Outcome parameters reported in these studies included quality of the handoff (including completeness, accuracy, and consistency), physician time management, continuity of care, adverse events, and missed patients. Our results suggest that while CHT are a promising tool, further evaluation using rigorous study methodologies is needed. These findings are somewhat surprising given increasing popularity of CHTs in daily patient care.[19, 24, 26, 27, 28] This might be due to the fact that IT adoption and use in healthcare is still in a phase of relative infancy,[29] and that the success of adopting IT systems in healthcare depends on various factors.[30]

Roles of CHT in Physician Handoff for Hospitalized Patients

Our study indicates that CHT can potentially improve continuity of patient care by reducing the number of missing patients during rounds following handoff,[20] and similarly improve patient safety by decreasing adverse events and preventable adverse events.[21] Of note, users reported that they were able to spend more time with patients during pre‐rounding[20] which will likely enhance quality and continuity of patient care. However, it is unclear whether these improvements translate into better patient outcomes. Although Peterson et al attempted to minimize the risk of bias by using anonymous reporting and blinding participants to the timing of data collection,[21] adverse events during the intervention period could have been underestimated due to surveillance bias or decreased self‐reporting. Nevertheless, the results suggest that CHTs may have affected quality of patient care in a positive manner from included studies.

The findings from our review also point to a positive impact of CHT on physician work efficiency. Specifically, residents spent less time rounding on patients after handoff and finished their work sooner after introduction of the intervention.[20] Several other published studies on CHT also indicated potential benefits on work efficiency and/or patient safety,[31, 33, 34, 35] although they did not meet the inclusion criteria for our study (prespecified outcomes not reported,[31, 35] or study design[33, 34, 35]). In the studies in which the majority of handoff information was manually typed in the CHT, the work load was perceived to be increased with CHT implementation.[24, 25] On the other hand, the study conducted by Van Eaton et al demonstrated that a CHT that had broad integration with the hospital main IT system, and could automatically transfer important patient information such as medication, medical problems, recent investigation, and vital signs into CHT, quickly gained popularity among residents and staff due to its user‐friendly features.[20] This integration can also potentially reduce miscommunication and associated medical errors during physician handoff. Palma et al's study reported higher perceived workload due to manual entry of patient data.[24] Although the CHT used in their study was developed within their existing EMR system, large amounts of information needed to be manually imputed, and thus increased time spent on updating handoff information. This information included patient demographics, active medical issues, a to do list, and on‐going issues,[24] some of which could be imputed automatically with better CHT design. It is also possible that users spent more time in updating the handoff because they were able to deliver more information using a CHT.[24] However, this may allow cross‐covering physicians to spend less time on looking for patient information from other sources and thus actually decrease workload during cross‐coverage. Although there are numerous factors that could affect physician work efficiency when using a new IT system,[30] it was felt that a well‐designed and easy‐to‐use CHT that is integrated with the hospital information system can improve physician productivity.

The role of CHT in improving quality of handoff is less clear. Three studies[20, 24, 25] found an overall improvement in the quality of handoff after implementation of CHT, such that the handoff information was more complete and more consistent. On the other hand, physicians were concerned about the comprehensiveness of physician handoff after implementation of CHT in 2 studies.[22, 23] In Ram and Block's study,[25] physicians relied heavily on an unstructured free‐text entry system to deliver the majority of patient information that physicians thought to be important. In Flanagan et al's study,[23] resident physicians had to search for alternative sources, such as patient charts and electronic order systems, to obtain vital information in many cases in spite of a structured CHT. As a result, the information available was often not sufficient to help on‐call physicians make patient care decisions.[23]

Implication of CHT Design and Use

It has been demonstrated in many non‐healthcare domains,[15, 36, 37] as well as nursing care,[38] that a standardized handoff protocol is vital to decrease medical errors and improve patient safety. In our review, we found that physicians generally reported being satisfied with the accuracy of handoff information and the overall handoff when using standardized CHTs interfaced with hospital IT systems. This suggests, as recommended by Flanagan et al,[23] Palma et al,[24] and Ram and Block[25] that CHTs be developed with a standardized protocol and wide integration into hospital IT systems.

In order to achieve this goal, key patient information necessary for patient care need to be communicated during physician handoff. As hospitals consist of a wide range of disciplines and specialties with varying cultures and focuses of patient information, it is likely difficult to develop a single panacea CHT template for all the in‐hospital services.[1] This may be even particularly relevant when developing CHTs for different hospital services. However, some patient information appears to be universally important for physician handoff for inpatient care. Key elements, such as patient demographics, diagnosis, outstanding investigation results, code status, a problem list, and a to do list, were noted to be consistently present in the CHTs that were evaluated in our review (Table 2). Other studies have also demonstrated that information items such as a to do list, outstanding investigation results, and patients' code status were regarded as the most important information during physician handoff.[1, 2, 17, 23, 39, 40] Based on these findings, a potential solution for CHT standardization would be to develop a core CHT which includes the universally important components of physician handoff identified in this review, and provides options for adding well‐categorized service‐specific information as needed (eg, type and date of surgical procedures for surgical patients). It also appears that active involvement of physicians in CHT design and modification facilitates successful implementation of CHT, as demonstrated in Van Eaton et al's and Peterson et al's studies.[20, 21]

It is difficult to recommend metrics for CHT evaluation based on the limited literature identified in our review. However, it appears to be reasonable to consider integration into existing IT system, user friendly features, impact on quality of handoff documents, work efficiency, and processes and outcomes of patient care when assessing CHTs.

Limitations

There are several limitations in the studies included in our review. None of the studies were multi‐centered. The majority of the included studies had a beforeafter design.[21, 22, 23, 24, 25] Some studies did not have user training or a run in period to ensure familiarity of CHTs by users.[22, 24, 25] None of the studies described the key components of handoff in the control groups, or used quality control measurements for user familiarity with the CHTs. Furthermore, outcomes reported by the studies were heterogeneous, subjective, based on participant self‐report, and not independently validated.

Our review also has also several limitations. First, in spite of a comprehensive search effort, it is possible that we failed to identify all relevant articles. However, this is unlikely, given that we searched multiple databases and performed hand searches of all references identified from the included articles, as well as content‐related previously published systematic reviews. Second, we were not able to perform a meta‐analysis, given the heterogeneity seen in outcomes assessed across studies, measures applied, and results presented.

CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

Although the current literature suggests that implementation of CHTs is likely to improve physician work efficiency, satisfaction, and quality of patient care during physician handoff for hospitalized patients, the evidence supporting these potential benefits is limited. Furthermore, it is unknown what impacts CHTs may have on clinical outcomes, such as hospital length of stay and mortality. Further studies with larger sample size, multiple center involvement, and more objective patient outcome measurements are therefore needed to evaluate the roles of CHTs in physician handoff and improving the quality of patient care.

In the absence of larger studies evaluating major clinical outcomes, such as length of stay and mortality, hospitals considering innovations in the domain of computerized platforms for physician handoffs will need to consider the pros and cons of immediate system implementation on the basis of the evidence presented here versus waiting until there is more evidence from more definitive studies. In addition, our study suggests that organizations engage physicians during CHT design and develop a standardized CHT protocol that is interfaced with hospital IT systems and includes key components of handoff information, but provides flexibility to meet service‐specific needs. The evidence summarized here, while far from definitive for major outcomes, is nonetheless rather positive for the general benefits of CHTan impetus for careful design, implementation, and modification, whenever and wherever possible. Any such system implementations should, however, incorporate an evaluative component so that the evidence‐base surrounding CHT can be enhanced.

Acknowledgments

Disclosure: Nothing to report.

Physician handoff is a common and essential component of daily patient care that includes transfer of important clinical patient information and accountability of patient care. Thus, high‐quality physician handoffs are crucial to ensure patient safety and continuity of patient care, especially with the new resident work hour restriction in North America.[1, 2] As such, healthcare organizations including the World Health Organization[3] have issued specific goals and organizational challenges to improve the effectiveness and coordination of communication among the care/service providers and with the recipients of care/service across the continuum in healthcare.[4, 5]

It has been well‐documented that physician handoffs in hospital settings are often unstructured and not standardized, which leads to medical errors and jeopardizes patient safety.[2, 6, 7, 8, 9, 10, 11, 12] This lack of standardization of physician handoff for hospitalized patients occurs in every major in‐hospital service and affects trainees and staff.[2, 6, 7, 9, 10, 12, 13] It has been demonstrated in healthcare and in other domains that a standardized handoff protocol that involves both verbal communication and written handoff documents is likely to be an effective method of handoff to decrease miscommunication and associated errors.[14, 15, 16, 17] Computerized physician handoff tools (CHTs) have been increasingly deployed to address these challenges and have quickly gained popularity among physicians for documenting patient information during physician handoff for hospitalized patients.[18] CHTs can be an complementary part of electronic medical record (EMR) systems, but not a substitute since their focus is to deliver concise and essential information vital for patient care during interfaces of patient care.

Two recent systematic reviews have examined information technology (IT) systems to promote the handoff process in healthcare.[17, 19] However, to our knowledge, there has not been a systematic review of the potential role of CHT in physician handoff and quality of patient care for hospitalized patients. We therefore conducted a systematic review to examine the current evidence for CHTs in physician handoff for hospitalized patients, focusing specifically on potential effects on continuity of patient care, physician work efficiency, quality of handoffs, and patient outcomes.

METHODS

Criteria for Considering Eligible Studies

We included randomized controlled trials, controlled clinical trial, quasi‐experimental studies, and controlled beforeafter studies that evaluated CHTs during physician handoff of hospitalized patients. Studies needed to report patient outcomes (adverse events, missing patients at rounds, or in‐hospital mortality), physician work efficiency, quality of handoff (accuracy, consistency, or completeness), continuity of care, or physician satisfaction. Articles that met all these inclusion criteria were considered to be eligible for the review. We excluded review articles, commentaries, case reports, and retrospective studies.

Search Strategy

CHTs were defined as computer‐based platforms, designed specifically for the purpose of physician handoff, to allow distributed access and synchronous archiving of patient information via Internet protocols (ie, electronic tool to allow physician data access and data entry for handoff from different computers at multiple locations within the authorized hospitals or clinics). A search strategy was developed based on a MEDLINE search format combined with our inclusion criteria and with this definition of CHTs. We used search terms related to physician communication and information technology, and relevant Medical Subjects Headings, which include handover, handoff, signoff, sign‐over, off‐duty, post‐call, computerized, Web‐based, communication tool. The databases, including MEDLINE, PUBMED, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Cochrane database for systematic reviews, and the Cochrane CENTRAL register of controlled trials, were initially searched from 1985 to December 2011 in all languages. The Cochrane Collaboration filter for controlled interventional studies was used to select the above‐mentioned interventional trial designs. In addition, the first 2 authors hand searched the references of included articles and relevant systematic reviews.

Screening for Eligible Studies

All articles identified in the database searches described above were included for screening in 2 stages. First, 2 reviewers (P.L., S.A.) independently reviewed the title and abstracts of the identified articles for eligibility. The articles selected in the first stage of screening were then further assessed by a full‐text review independently by the 2 reviewers. Any discrepancy was resolved by consensus or by involvement of a third reviewer (C.T.).

Data Abstraction and Analysis

Data abstraction from selected studies was conducted independently by 3 authors based on a predefined template. All discrepancies in this stage were resolved by consensus among the 3 authors. For each study, we analyzed study design, data collection, intervention, main outcomes, and components of physician handoffs in the study. Due to heterogeneity of study outcomes, measures used, and results, a meta‐analysis was not performed. Study outcomes, which included adverse events, missing patients at rounds, time spent on rounding patient, accuracy, consistency or completeness of handoff information, and continuity of care, were summarized.

RESULTS

Study Selection

A total of 1026 citations were identified in the initial search, of which 1006 studies did not evaluate CHT and were excluded by title and abstract screening. Of the 20 studies evaluated further by full‐text review, 5 were selected for the final analysis. One additional study was identified by hand searching references. The kappa score of inter‐reviewer agreement on article selection in the first stage of screening was 0.7, and for the second stage of article selection, kappa was 1.0. The reasons for exclusion in the second selection step are presented in Figure 1.

Figure 1
Flow chart of study inclusion.

Study Characteristics

Of the 6 studies identified, 1 study was a randomized controlled trial[20] and the other 5 were controlled beforeafter studies.[21, 22, 23, 24, 25] All studies were conducted in teaching hospitals in English‐speaking high‐income countries. All were single‐center studies, except the study by Van Eaton et[20] that involved 2 centers. All the studies investigated physician handoffs conducted by trainees. Two studies included staff physicians.[22, 24] Van Eaton et al's study included general medical, general surgical, and subspecialty surgical services.[20] The other 5 studies assessed physician handoffs in family medicine,[25] internal medicine services,[21, 23] a surgical service,[22] and a neonatal intensive care unit.[24] The study by Van Eaton et al[20] enrolled the largest study population. The intervention or observation phase ranged from 1 month[20] to 6 months[24] (Table 1).

Study Characteristics Included in the Review
Study Design Setting Target Services Intervention Group Control Group Data Collection and Validation
  • Abbreviations: CHT, computerized physician handoff tool; EMR, electronic medical record; NICU, neonatal intensive care unit.
Ram and Block[25] (1992) Beforeafter study 150‐bed urban hospital in USA Family Medicine Residents (N = 7) Patient no. not reported 1 mo of intervention No CHT training prior to the intervention reported Patient no. not reported Traditional handoff note (on index card or previous list) Components of handoff note not reported Questionnaire No data validation
Peterson et al[21] (1998) Beforeafter study 720‐bed tertiary care hospital in USA All Internal Medicine Services Residents (N = 99) 3747 patients 4 mo of intervention 8 wk of run‐in period 1874 patients Handwritten handoff Components of handoff note not reported Self‐report using e‐mail, report card, in person chart review for unreported adverse events in 250 samples
Van Eaton et al[20] (2005) Randomized cross‐over trial 450‐bed tertiary care hospital and a 368‐bed trauma center in USA General Medicine, General Surgery, and Subspecialties Trauma Residents (N = 7 teams) 8018 patients 14 wk of randomized crossover period 6 wk of run‐in period 7569 patients Individual written lists, cards, a team‐developed computer‐generated spreadsheet Components of handoff note not reported Telephone interview and anonymous online survey No validation of data
Cheah et al[22] (2005) Beforesfter atudy A 400‐bed regional teaching hospital in Australia General Surgery Registrars and Residents (N = 714) Patient no. not reported 3 mo of observation period (for weekend coverage only) No CHT training prior to the intervention reported Patient no. not reported No description of pre‐intervention handoff method reported In‐person interview and survey No validation of data
Flanagan et al[23] (2009) Beforesfter atudy Tertiary care hospital in USA Internal Medicine, Medical Intensive Care Unit First‐year Residents (N = 35) 1264 patient handoff forms 1 mo of observation Orientation session and 1 cross‐over shift of run‐in period Patient no. not reported No description of pre‐CHT implementation handoff method reported In‐person interview and survey No validation of data
Palma et al[24] (2011) Beforeafter study 304‐bed quaternary care women and children hospital in USA NICU Attendings, Residents, Nursing staffs (N = 4652) Patient no. not reported 6 mo of intervention of NICU handoff tool Instruction document by e‐mail and informal instructional session Patient no. not reported A Microsoft‐based standalone handoff tool or EMR integrated Medical/Surgical handoff tool Components of handoff note not reported Online survey No validation of data

CHT Characteristics

Three CHTs were standalone applications designed specifically for physician handoffs.[20, 22, 25] The other 3 CHTs were add‐on functions to existing hospital Electric Medical Record (EMR) systems.[21, 23, 24] All CHTs except one[25] interfaced with existing EMR systems, allowing for variable degrees of data transfer depending on CHT design and the functionalities of the EMR systems. CHT users were actively involved in designing and modifying the CHTs in most of the studies.[20, 21, 23, 25] The characteristics of the CHTs were summarized in Table 2.

Characteristics of CHTs
Study CHT Design EMR Interface Physician Daily Progress Note Participants' Role in CHT Design Components of CHT Components That Require Manual Input
  • Abbreviations: CHT, computerized physician handoff tool; EMR, electronic medical record; IT, information technology.
Ram and Block[25] (1992) Standalone application No interface Paper‐based Designing Patient demographics Medications Diagnosis Problem lists Comment line All the information
Peterson et al[21] (1998) A part of existing EMR Bi‐directional interface Paper‐based Designing Patient demographics Current medication Allergy Code status Recent lab value A problem list A to do list A problem list A to do list
Van Eaton et al[20] (2005) Standalone application Uni‐directional interface (data input from hospital IT system) Electronic‐based Designing and modifying Patient demographics Diagnosis Medication Allergy Vital signs Lab and investigation A problem list A to do list Diagnosis Medication A problem list A to do list
Cheah et al[22] (2005) Standalone application Uni‐directional interface (data input from hospital IT system) Electronic‐based No Patient demographics Diagnosis Length of stay Recent investigations Free‐text note (Not standardized) Free‐text note
Flanagan et al[23] (2009) A part of existing EMR Uni‐directional interface (data input from hospital IT system) Electronic‐based Evaluating and modifying Patient demographics Medication Allergy Lab and investigation Physician daily note Free‐text note (not standardized) Free‐text note (may contain assessment, a problem list, venous access, short‐term concerns and long‐term plan, and follow‐up tasks)
Palma et al[24] (2011) A part of existing EMR Uni‐directional interface (data input from hospital IT system) Paper‐based No Patient demographics Lab and measurement Free‐text note (not standardized) Free‐text note (including patient description, active medical issues, ongoing care and a to do list)

CHT's Impact on Adverse Events

The impact of CHTs on preventable adverse events was evaluated in a single study by Peterson et al.[21] The authors defined an adverse event as an injury due to medical treatment which prolonged hospital stay or produced disability at discharge in the study. Preventability was determined by using a 6‐point scale and assessed independently by 3 reviewers. Fewer adverse events were found after implementation of CHTs (2.38% vs 3.94%, P < 0.001). They also reported nonsignificant reductions in preventable adverse events (1.23% vs 1.72%, P < 0.1) with implementation of the CHT, and preventable adverse events during cross‐coverage (0.24% vs 0.38%, P > 0.10). The odds ratio for a patient experiencing a preventable adverse event during cross‐coverage compared to noncross‐coverage time was reduced from 5.2 (95% confidence interval [CI], 1.518.2) to 1.5 (95% CI, 0.29.0) following implementation of the CHT (Table 3).

Description of Study Outcomes and Recommendations for CHT
Study Outcomes of Interest Results Implication for CHT Design and Use
  • Abbreviations: CHT, computerized physician handoff tool; IT, information technology.
Ram and Block[25] (1992) Physician satisfaction Importance and accessibility of clinical information Improved physician satisfaction Handoff documentation more legible, more consistent, and more comprehensive Information required to be typed in by residents and not up‐to‐date The most important data for handoff: a to do list and code status A CHT interfaced with hospital IT system, and in a format that can focus on physician needs
Petersen et al[21] (1998) Adverse event rate Preventable adverse events rate Fewer adverse events (2.38% vs 3.94%, P < 0.001) Fewer preventable adverse events (1.23% vs 1.72%, P < 0.1) Few preventable adverse events during cross‐coverage (0.24% vs 0.38%, P > 0.10) Lower OR of preventable adverse events during cross‐coverage (1.5; 95% CI 0.29.0 vs 5.2; 95% CI 1.58.2) Active involvement in the design of CHT by house staff likely contributes to high participation and CHT use rate in the study
Van Eaton et al[20] (2005) No. of patients missed on rounds Perception on continuity of care quality and workflow efficiency Daily self‐reported pre‐rounding and rounding times and tasks Reduced the no. of patients missed on rounds (2.5 patients/team/mo) (P = 0.0001) Spent 40% more time with patients at pre‐rounds Reduced time on team rounds by 1.5 min per patient Reduced time on manual copying at pre‐rounding by 50% Improved handoff quality Improved continuity of care No reduction of overall pre‐rounding time The largest benefit from CHTs varies between clinical services, from more time assessing patients before rounds in Internal Medicine to reduced backtracking and locating patients in Surgery
Cheah et al[22] (2005) Completeness and usefulness of handoff information Desirability of electronic handoff system Identified information set for handoff Free text entry in CHT often deficient in particular patient information Concerns of the completeness and consistency of information delivered in CHT CHT needs to be linked to hospital information system
Flanagan et al[23] (2009) Common data elements of interest extracted during physician handoff Missing data required during handoff Physicians' perception of CHT Additional important information needed that not included during handoff in 25% cases Code status, relevant lab data, short‐term concerns, a problem list, and a if‐then list should be included in CHT template A standard form reduces variability of handoff information
Palma et al[24] (2011) Accuracy of handoff information Healthcare provider satisfaction Improved perceived accuracy of handoff information (91% vs 78%, P <0.01) Improved satisfaction with handoff process (71% vs 35%, P < 0.01) Improved satisfaction with handoff documents (98% vs 91%, P <0.01) More time spent on updating handoff information (1620 min vs 1115 min, P = 0.03) A discipline‐specific handoff tool results in perceived handoff accuracy and satisfaction A more efficient handoff tool can be achieved by more extensive data transfer from hospital IT system

CHT's Impact on Physician Work Efficiency

Van Eaton et al's study examined the effect of CHTs on physician work efficiency.[20] Improved physician work efficiency was found following implementation of CHT. Self‐reported time spent on hand‐copying patient information was reduced by 50%, while the portion of time spent on seeing patients during pre‐rounding increased. Similarly, self‐reported time spent on each patient during rounding (routine patient assessment by the primary team) was decreased by 1.5 minutes. Overall, resident physicians subjectively reported an average time saving of 45 minutes daily for junior residents and 30 minutes for senior residents, and 81% of residents reported finishing their work sooner when using CHTs. Although no data were reported in the pre‐CHT period described in the study by Cheah et al, they indicated that work efficiency was felt to be improved because all physicians could locate their patients quickly and were pleased to be able to check patients' lab results in the CHT.[22] Conversely, Palma et al and Ram and Block reported perceived increased work load with CHTs by users due to time spent updating handoff information.[24, 25]

CHT's Impact on Quality of Physician Handoff

Overall quality of physician handoff and completeness of the handoff document was improved in 3 studies.[20, 24, 25] Flanagan et al reported that patient identifiers and medications were extracted most of the time.[23] However, there were concerns regarding consistency,[22] completeness[22, 23] of information provided during physician handoff using CHTs. Palma et al's and Ram and Block's studies[24, 25] commented on the accuracy of patient information communicated during physician handoff. While Ram and Block's study suggested that it may be poorer during the intervention period,[25] Palma et al's study found improved perceived accuracy of handoff information postimplementation of a CHT (98% vs 91%, P < 0.01).[24]

CHT's Impact on Continuity of Patient Care

Using CHTs was associated with a decreased number of patients missed on rounds after handoff (new admitted patients who were not assessed by the primary team in the morning rounds because cross‐covering physicians did not inform the primary team) in Van Eaton et al's study.[20] On the other hand, Cheah et al[22] reported that documented handoffs after physicians returned to duty occurred on 50% of patients who had experienced important clinical events on weekends.

DISCUSSION

Our systematic review identified 6 controlled studies of CHT. Outcome parameters reported in these studies included quality of the handoff (including completeness, accuracy, and consistency), physician time management, continuity of care, adverse events, and missed patients. Our results suggest that while CHT are a promising tool, further evaluation using rigorous study methodologies is needed. These findings are somewhat surprising given increasing popularity of CHTs in daily patient care.[19, 24, 26, 27, 28] This might be due to the fact that IT adoption and use in healthcare is still in a phase of relative infancy,[29] and that the success of adopting IT systems in healthcare depends on various factors.[30]

Roles of CHT in Physician Handoff for Hospitalized Patients

Our study indicates that CHT can potentially improve continuity of patient care by reducing the number of missing patients during rounds following handoff,[20] and similarly improve patient safety by decreasing adverse events and preventable adverse events.[21] Of note, users reported that they were able to spend more time with patients during pre‐rounding[20] which will likely enhance quality and continuity of patient care. However, it is unclear whether these improvements translate into better patient outcomes. Although Peterson et al attempted to minimize the risk of bias by using anonymous reporting and blinding participants to the timing of data collection,[21] adverse events during the intervention period could have been underestimated due to surveillance bias or decreased self‐reporting. Nevertheless, the results suggest that CHTs may have affected quality of patient care in a positive manner from included studies.

The findings from our review also point to a positive impact of CHT on physician work efficiency. Specifically, residents spent less time rounding on patients after handoff and finished their work sooner after introduction of the intervention.[20] Several other published studies on CHT also indicated potential benefits on work efficiency and/or patient safety,[31, 33, 34, 35] although they did not meet the inclusion criteria for our study (prespecified outcomes not reported,[31, 35] or study design[33, 34, 35]). In the studies in which the majority of handoff information was manually typed in the CHT, the work load was perceived to be increased with CHT implementation.[24, 25] On the other hand, the study conducted by Van Eaton et al demonstrated that a CHT that had broad integration with the hospital main IT system, and could automatically transfer important patient information such as medication, medical problems, recent investigation, and vital signs into CHT, quickly gained popularity among residents and staff due to its user‐friendly features.[20] This integration can also potentially reduce miscommunication and associated medical errors during physician handoff. Palma et al's study reported higher perceived workload due to manual entry of patient data.[24] Although the CHT used in their study was developed within their existing EMR system, large amounts of information needed to be manually imputed, and thus increased time spent on updating handoff information. This information included patient demographics, active medical issues, a to do list, and on‐going issues,[24] some of which could be imputed automatically with better CHT design. It is also possible that users spent more time in updating the handoff because they were able to deliver more information using a CHT.[24] However, this may allow cross‐covering physicians to spend less time on looking for patient information from other sources and thus actually decrease workload during cross‐coverage. Although there are numerous factors that could affect physician work efficiency when using a new IT system,[30] it was felt that a well‐designed and easy‐to‐use CHT that is integrated with the hospital information system can improve physician productivity.

The role of CHT in improving quality of handoff is less clear. Three studies[20, 24, 25] found an overall improvement in the quality of handoff after implementation of CHT, such that the handoff information was more complete and more consistent. On the other hand, physicians were concerned about the comprehensiveness of physician handoff after implementation of CHT in 2 studies.[22, 23] In Ram and Block's study,[25] physicians relied heavily on an unstructured free‐text entry system to deliver the majority of patient information that physicians thought to be important. In Flanagan et al's study,[23] resident physicians had to search for alternative sources, such as patient charts and electronic order systems, to obtain vital information in many cases in spite of a structured CHT. As a result, the information available was often not sufficient to help on‐call physicians make patient care decisions.[23]

Implication of CHT Design and Use

It has been demonstrated in many non‐healthcare domains,[15, 36, 37] as well as nursing care,[38] that a standardized handoff protocol is vital to decrease medical errors and improve patient safety. In our review, we found that physicians generally reported being satisfied with the accuracy of handoff information and the overall handoff when using standardized CHTs interfaced with hospital IT systems. This suggests, as recommended by Flanagan et al,[23] Palma et al,[24] and Ram and Block[25] that CHTs be developed with a standardized protocol and wide integration into hospital IT systems.

In order to achieve this goal, key patient information necessary for patient care need to be communicated during physician handoff. As hospitals consist of a wide range of disciplines and specialties with varying cultures and focuses of patient information, it is likely difficult to develop a single panacea CHT template for all the in‐hospital services.[1] This may be even particularly relevant when developing CHTs for different hospital services. However, some patient information appears to be universally important for physician handoff for inpatient care. Key elements, such as patient demographics, diagnosis, outstanding investigation results, code status, a problem list, and a to do list, were noted to be consistently present in the CHTs that were evaluated in our review (Table 2). Other studies have also demonstrated that information items such as a to do list, outstanding investigation results, and patients' code status were regarded as the most important information during physician handoff.[1, 2, 17, 23, 39, 40] Based on these findings, a potential solution for CHT standardization would be to develop a core CHT which includes the universally important components of physician handoff identified in this review, and provides options for adding well‐categorized service‐specific information as needed (eg, type and date of surgical procedures for surgical patients). It also appears that active involvement of physicians in CHT design and modification facilitates successful implementation of CHT, as demonstrated in Van Eaton et al's and Peterson et al's studies.[20, 21]

It is difficult to recommend metrics for CHT evaluation based on the limited literature identified in our review. However, it appears to be reasonable to consider integration into existing IT system, user friendly features, impact on quality of handoff documents, work efficiency, and processes and outcomes of patient care when assessing CHTs.

Limitations

There are several limitations in the studies included in our review. None of the studies were multi‐centered. The majority of the included studies had a beforeafter design.[21, 22, 23, 24, 25] Some studies did not have user training or a run in period to ensure familiarity of CHTs by users.[22, 24, 25] None of the studies described the key components of handoff in the control groups, or used quality control measurements for user familiarity with the CHTs. Furthermore, outcomes reported by the studies were heterogeneous, subjective, based on participant self‐report, and not independently validated.

Our review also has also several limitations. First, in spite of a comprehensive search effort, it is possible that we failed to identify all relevant articles. However, this is unlikely, given that we searched multiple databases and performed hand searches of all references identified from the included articles, as well as content‐related previously published systematic reviews. Second, we were not able to perform a meta‐analysis, given the heterogeneity seen in outcomes assessed across studies, measures applied, and results presented.

CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

Although the current literature suggests that implementation of CHTs is likely to improve physician work efficiency, satisfaction, and quality of patient care during physician handoff for hospitalized patients, the evidence supporting these potential benefits is limited. Furthermore, it is unknown what impacts CHTs may have on clinical outcomes, such as hospital length of stay and mortality. Further studies with larger sample size, multiple center involvement, and more objective patient outcome measurements are therefore needed to evaluate the roles of CHTs in physician handoff and improving the quality of patient care.

In the absence of larger studies evaluating major clinical outcomes, such as length of stay and mortality, hospitals considering innovations in the domain of computerized platforms for physician handoffs will need to consider the pros and cons of immediate system implementation on the basis of the evidence presented here versus waiting until there is more evidence from more definitive studies. In addition, our study suggests that organizations engage physicians during CHT design and develop a standardized CHT protocol that is interfaced with hospital IT systems and includes key components of handoff information, but provides flexibility to meet service‐specific needs. The evidence summarized here, while far from definitive for major outcomes, is nonetheless rather positive for the general benefits of CHTan impetus for careful design, implementation, and modification, whenever and wherever possible. Any such system implementations should, however, incorporate an evaluative component so that the evidence‐base surrounding CHT can be enhanced.

Acknowledgments

Disclosure: Nothing to report.

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  40. Riesenberg LA, Leitzsch J, Little BW. Systematic review of handoff mnemonics literature. Am J Med Qual. 2009;24(3):196204.
References
  1. Arora V, Johnson J, Lovinger D, et al. Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis. Qual Saf Health Care. 2005;14(6):401407.
  2. 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(12):10941099.
  3. World Health Organization. Patient safety solution: communication during patient handovers. Available at: http://www.who.int/patientsafety/solutions/patientsafety/PS‐Solution3.pdf Accessed January 20, 2011.
  4. Accreditation Canada. Required Organizational Practices: Communication. Available at: http://wwwaccreditationca/uploadedFiles/information%20transferpdf?n=1212. Accessed January 20, 2010.
  5. Joint Commission on Accreditation of Healthcare Organizations National Patient Safety Goals. Available at: http://www.jointcommission.org/PatientSafety/NationalPatientSafetyGoals/06_npsg_cah.html. Accessed January 20, 2010.
  6. 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(10):884894.
  7. Gandhi TK. Fumbled handoffs: one dropped ball after another. Ann Intern Med. 2005;142(5):352358.
  8. 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.
  9. Horwitz LI, Moin T, Krumholz HM, et al. Consequences of inadequate sign‐out for patient care. Arch Intern Med. 2008;168(16):17551760.
  10. Horwitz LI, Moin T, Krumholz HM, et al. What are covering doctors told about their patients? Analysis of sign‐out among internal medicine house staff. Qual Saf Health Care. 2009;18(4):248255.
  11. Horwitz LI, Meredith T, Schuur JD, et al. Dropping the baton: a qualitative analysis of failures during the transition from emergency department to inpatient care. Ann Emerg Med. 2009;53(6):701710.
  12. Singh H, Thomas EJ, Petersen LA, Studdert DM. Medical errors involving trainees: a study of closed malpractice claims from 5 insurers. Arch Intern Med. 2007;167(19):20302036.
  13. Arora V, Johnson J, Lovinger D, et al. Communication failures in patient sign‐out and suggestions for improvement: a critical incident analysis. Qual Saf Health Care. 2005;14(6):401407.
  14. Lee LH, Levine JA, Schultz HJ. Utility of a standardized sign‐out card for new medical interns. J Gen Intern Med. 1996;11(12):753755.
  15. Patterson ES, Roth EM, Woods DD, et al. Handoff strategies in settings with high consequences for failure: lessons for health care operations. Int J Qual Health Care. 2004;16(2):125132.
  16. Shendell‐Falik N, Feinson M, Mohr BJ. Enhancing patient safety: improving the patient handoff process through appreciative inquiry. J Nurs Adm. 2007;37(2):95104.
  17. Vidyarthi AR, Arora V, Schnipper JL, et al. Managing discontinuity in academic medical centers: strategies for a safe and effective resident sign‐out. J Hosp Med. 2006;1(4):257266.
  18. Eaton EG, Horvath KD, Lober WB, Pellegrini CA. Organizing the transfer of patient care information: the development of a computerized resident sign‐out system. Surgery. 2004;136(1):513.
  19. Arora VM, Manjarrez E, Dressler DD, et al. Hospitalist handoffs: a systematic review and task force recommendations. J Hosp Med. 2009;4(7):433440.
  20. Eaton EG, Horvath KD, Lober WB, et al. A randomized, controlled trial evaluating the impact of a computerized rounding and sign‐out system on continuity of care and resident work hours. J Am Coll Surg. 2005;200(4):538545.
  21. Petersen LA, Orav EJ, Teich JM, et al. Using a computerized sign‐out program to improve continuity of inpatient care and prevent adverse events. Jt Comm J Qual Improve. 1998;24(2):7787.
  22. Cheah LP, Amott DH, Pollard J, Watters DA. Electronic medical handover: towards safer medical care. Med J Aust. 2005;183(7):369372.
  23. Flanagan ME, Patterson ES, Frankel RM, Doebbeling BN. Evaluation of a physician informatics tool to improve patient handoffs. J Am Med Inform Assoc. 2009;16(4):509515.
  24. Palma JP, Sharek PJ, Longhurst CA. Impact of electronic medical record integration of a handoff tool on sign‐out in a newborn intensive care unit. J Perinatol. 2011;31(5):311317.
  25. Ram R, Block B. Signing out patients for off‐hours coverage: comparison of manual and computer‐aided methods. Proceedings—The Annual Symposium on Computer Applications in Medical Care. 1992;114118.
  26. Kannry J, Moore C. MediSign: using a Web‐based SignOut system to improve provider identification. Proc AMIA Symp. 1999:550554.
  27. Ovretveit J, Scott T, Rundall TG, et al. Implementation of electronic medical records in hospitals: two case studies. Health Policy. 2007;84(2–3):181190.
  28. Quan S, Tsai O. Signing on to sign out, part 2: describing the success of a Web‐based patient sign‐out application and how it will serve as a platform for an electronic discharge summary program. Healthc Q. 2007;10(1):120124.
  29. Hillestad R, Bigelow J, Bower A, et al. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Affairs. 2005;24(5):11031117.
  30. Gagnon MP, Legare F, Labrecque M, et al. Interventions for promoting information and communication technologies adoption in healthcare professionals. Cochrane Database Syst Rev. 2009;Jan21(1):CD006093.
  31. Frank G, Lawless ST, Steinberg TH. Improving physician communication through an automated, integrated sign‐out system. J Healthc Inf Manag. 2005;19(4):6874.
  32. Sarkar U, Carter JT, Omachi TA, et al. SynopSIS: integrating physician sign‐out with the electronic medical record. J Hosp Med. 2007;2(5):336342.
  33. Bernstein JA, Imler DL, Sharek P, Longhurst CA. Improved physician work flow after integrating sign‐out notes into the electronic medical record. Jt Comm J Qual Patient Saf. 2010;36(2):7278.
  34. Wong HJ, Caesar M, Bandali S, et al. Electronic inpatient whiteboards: improving multidisciplinary communication and coordination of care. Int J Med Inform. 2009;78(4):239247.
  35. Zsenits B, Polashenski WA, Sterns RH, et al. Systematically improving physician assignment during in‐hospital transitions of care by enhancing a preexisting hospital electronic health record. J Hosp Med. 2009;4(5):308312.
  36. Helmreich RL. On error management: lessons from aviation. BMJ. 2000;320(7237):781785.
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  38. Streitenberger K, Breen‐Reid K, Harris C. Handoffs in care—can we make them safer?Pediatr Clin North Am. 2006;53(6):11851195.
  39. Kemp CD, Bath JM, Berger J, et al. The top 10 list for a safe and effective sign‐out. Arch Surg. 2008;143(10):10081010.
  40. Riesenberg LA, Leitzsch J, Little BW. Systematic review of handoff mnemonics literature. Am J Med Qual. 2009;24(3):196204.
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Increased Falls Associated with Zolpidem

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Zolpidem is independently associated with increased risk of inpatient falls

Hospitalized patients have increased rates of sleep disturbances.1, 2 Sleep disturbances are perceived to be disruptive to both patients and staff, a putative reason for the high rates of hypnotic use in hospitalized patients.3, 4 Zolpidem, a short‐acting, non‐benzodiazepine, benzodiazepine receptor agonist that acts at the ‐aminobutyric acid (GABA)‐A receptor complex, is the most commonly prescribed hypnotic agent in the United States.5, 6 It is also extremely commonly used in inpatient settings. Although zolpidem is thought to have a relatively benign side‐effect profile, it has been found to impair balance in healthy volunteers, even after a single dose.7 Zolpidem use has been found to be higher in community‐dwelling adults who sustained a hip fracture.8, 9

Falls in the inpatient setting are associated with significantly increased morbidity, serious injury, and can result in a prolonged hospital stay and increased healthcare expenditure.10, 11 It is for these reasons that fall reduction is one of the target aims of the Department of Health and Human Services Partnership for Patients.10 While many fall prevention programs have been shown to be effective, they are resource intensive.11 If zolpidem use were associated with increased rates of falls in hospitalized patients, decreasing zolpidem prescription could be an easy and effective intervention in order to reduce fall risk.

A previous case‐control study showed increased zolpidem use in geriatric inpatients who sustained a fall.8 However, the literature linking zolpidem use with an increased fall risk in hospitalized patients is based upon a small sample and does not correct for potential confounders, such as other medication use, delirium, or insomnia.8

We aimed to conduct a cohort study in a large inpatient teaching hospital to ascertain whether zolpidem is associated with increased rates of falls after accounting for age, sex, insomnia, delirium, and use of other medications previously shown to be associated with increased fall risk.

METHODS

All inpatients 18 years or older, admitted in 2010 to hospitals at Mayo Clinic, Rochester, MN, who were prescribed zolpidem were eligible for inclusion in the study. We excluded all patients who were pregnant and those in the intensive care unit (ICU) setting. We compared the group that was prescribed zolpidem and received it, to the group that was prescribed zolpidem but did not receive the medication. We restricted the analysis to patients who were prescribed zolpidem because there may be systematic differences between patients eligible to receive zolpidem and patients in whom zolpidem is not prescribed at all. Our institutional admission order sets provide physicians and other healthcare providers an option of selecting as‐needed zolpidem or trazodone as sleep aids. Zolpidem was the most common sleep aid that was prescribed to inpatients with a ratio of zolpidem to trazodone prescriptions being 2:1.

We used the pharmacy database to identify all eligible inpatients who were prescribed or administered either scheduled or as needed (PRN) zolpidem during the study period. All details regarding zolpidem prescription and administration were obtained from the inpatient pharmacy electronic database. This database includes all zolpidem orders that were placed in the inpatient setting. The database also includes details of dose and time of all zolpidem administrations.

The institution uses electronic medication profiles, and automated dispensing machines with patient profiles and point‐of‐care barcode scan technology, which forces highly accurate electronic documentation of the medication administered. The documentation of medication not given or patient refusal would be documented as not administered.

We reviewed the electronic medical record to ascertain demographics, as well as diagnoses of visual impairment, gait abnormality, cognitive impairment/dementia, insomnia, and delirium, based on International Classification of Diseases, Ninth Revision (ICD‐9) diagnosis codes for these conditions (see Supporting Information, Appendix 1, in the online version of this article). These diagnostic codes were electronically abstracted from the medical record. The diagnosis codes are entered by medical coding specialists based on review of all provider notes. Hospital length of stay, Charlson comorbidity index scores, and Hendrich's fall risk scores from day of admission were abstracted from the individual electronic medical records. The nursing staff at our institution perform all the requisite assessments and electronically input all components required to calculate a Hendrich's fall risk score upon admission.

The Charlson index is a composite score calculated based on a patient's medical comorbidities. Each comorbidity is designated a score of 1, 2, 3, or 6 based on the risk of mortality associated with that condition.12 The Hendrich's fall risk is calculated based on the patient's current medication regimen, level of alertness, current medical condition, and the get up and go test.13A score of 5 or greater indicates increased risk of falling. These scores from the day of admission were available for all patients and were extracted from the nursing flow sheet.

At our institution, all falls are required to be called into a central event reporting system, and each fall receives an analysis regarding risk factors and proximal causes. We obtained details of all inpatient falls from this event system. The medication administration record, a part of the patient's electronic medical record, was accessed to identify all medications administered in the 24 hours prior to the fall. Medications were grouped into their respective pharmacologic classes. Antidepressants, antipsychotics, antihistamines, sedative antidepressants (this class included trazodone and mirtazapine), benzodiazepines, and opioids were included in the analyses. These medications have previously been shown to be associated with increased risk of falls.14

Statistical analyses were performed using JMP (version 9.03, Cary, NC). Univariate analyses were performed to calculate the odds ratio of falling in inpatients who were administered zolpidem, in male patients, those admitted to a surgical floor, and in those that had a diagnosis of insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, or delirium. Hospital length of stay, age, zolpidem dose, Charlson comorbidity index scores, and Hendrich's fall risk scores were treated as continuous variables, and odds ratio of falling per unit increase was calculated for each of these variables.

Multivariable logistic regression analysis was performed to calculate the odds of falling in patients who received zolpidem, after accounting for age, gender, insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, delirium, hospital length of stay, zolpidem dose, Charlson comorbidity index scores, and Hendrich's fall risk scores. Logistic regression analyses was repeated with only those factors that were significantly associated (P < 0.05) with falls or factors where the association was close to statistical significance (P < 0.08).

To account for the presence of other medications that might have increased fall risk, separate analyses using the MannWhitney U test comparing medication use in all hospitalized patients who sustained a fall were performed. We compared the rates of use of antidepressants, antipsychotics, antihistamines, sedative antidepressants (this class included trazodone and mirtazapine), benzodiazepines, and opioid medication in patients who were administered zolpidem to those patients not administered zolpidem in the 24 hours prior to sustaining a fall. This study had the requisite institutional review board approval.

RESULTS

There were 41,947 eligible admissions during the study period. Of these, a total of 16,320 (38.9%; mean age 54.7 18 years) patients were prescribed zolpidem. Among these patients, 4962 (30.4% of those prescribed, or 11.8% of all admissions) were administered zolpidem during the study period (Figure 1). The majority (88%) of zolpidem prescriptions were for PRN or as needed use. Patients who received zolpidem were older than those who were prescribed the medication but did not receive it (56.84 17.2 years vs 53.79 18.31 years; P < 0.001).

Figure 1
Breakdown of patient population and fall risk as it relates to zolpidem order and administration.

Patients who were prescribed and received zolpidem were more likely to be male, or have insomnia or delirium. They had higher Charlson comorbidity index scores and were more likely to be on a surgical floor. There was no statistically significant difference between patients who received zolpidem and patients who were prescribed but did not receive zolpidem in terms of their fall risk scores, length of hospital stay, rates of visual impairment, gait abnormalities, and cognitive impairment/dementia (all P > 0.05) (Table 1).

Demographic Characteristics of All Patients Who Were Prescribed Zolpidem
CharacteristicsZolpidem Administered N = 4962 (%)Zolpidem Not Administered N = 11,358 (%)P Value
  • Abbreviations: SD, standard deviation.

Age56.84 17.24 y53.8 18.30 y<0.0001
Males2442 (49.21)4490 (39.53)<0.0001
Falls151 (3.04)81 (0.71)<0.0001
Insomnia1595 (32.3)1942 (17.1)<0.0001
Delirium411 (8.28)378 (3.33)<0.0001
Cognitive impairment38 (0.77)63 (0.55)0.11
Visual impairment84 (1.69)198 (1.74)0.82
Gait abnormalities814 (16.40)1761 (15.50)0.15
Patients on surgical floors2423 (48.8)5736 (50.50)0.05
Length of hospital stay (mean/SD)4.26 8.03 d4.18 8.07 d0.60
Charlson index (mean/SD)4.07 3.813.76 3.70<0.0001
Hendrich's fall risk score (mean/SD)1.97 1.931.91 1.970.08

During the study period, there were a total of 672 total falls, with 609 unique patients falls (fall rate of 1.45/100 patients). Those who were administered zolpidem had an increased risk of falling compared to patients who were prescribed, but were not administered, zolpidem (fall rate of 3.04/100 patients vs 0.71/100 patients; odds ratio [OR] = 4.37, 95% confidence interval [CI] = 3.335.74; P < 0.001). Additionally, patients who received zolpidem had an increased risk of falling, as opposed to all other adult inpatients who did not receive zolpidemwhether prescribed zolpidem or not (3.04 falls/100 patients vs 1.24 falls/100 patients; OR = 2.50, 95% CI = 2.083.02; P < 0.001). The absolute increase in risk of sustaining a fall after receiving zolpidem as compared to all other adult inpatients was 1.8%, revealing a number needed to harm of 55.

During the study period, a total of 21,354 doses of zolpidem were administered, revealing a fall rate of 0.007 falls per dose of zolpidem administered (151/21,354). This was significantly greater than the baseline fall risk of 0.0028 falls per day of hospitalization (672/240,015 total hospital days) (P < 0.0001).

On univariate analyses, zolpidem use (OR = 4.37; 95% CI = 3.345.76; P < 0.001), male sex (OR = 1.36; 95% CI = 1.051.76; P = 0.02), insomnia (OR = 2.37; 95% CI = 1.813.08; P < 0.01), and delirium (OR = 4.96; 95% CI = 3.526.86; P < 0.001) were significantly associated with increased falls, as were increasing age, Charlson comorbidity index scores, fall risk scores, and dose of zolpidem (Table 2). While the association between the presence of cognitive impairment/dementia and falling was close to significant (OR = 2.89; 95% CI = 0.886.98; P = 0.075), the association between fall risk and the presence of visual impairment, gait abnormalities, and being on a surgical floor was not statistically significant.

Univariate Analysis of Potential Risk Factors for Falling in All Patients Prescribed Zolpidem
Risk FactorOdds Ratio of FallingLower Confidence Interval*Upper Confidence Interval*P Value
  • 95% Confidence intervals;

  • per 1 year increase in age;

  • per 1 day increase in length of hospital stay;

  • per unit increase in Charlson score;

  • per unit increase in Hendrich's fall risk score;

  • per 1 mg increase in dose.

Zolpidem administration4.373.345.76<0.001
Male sex1.361.051.760.02
Insomnia2.371.813.08<0.001
Delirium4.963.526.86<0.001
Cognitive impairment2.890.886.980.075
Visual impairment1.260.442.760.63
Gait abnormalities1.220.861.680.26
Being on a surgical floors0.880.681.150.36
Age1.011.011.02<0.001
Length of hospital stay0.990.981.010.93
Charlson index1.291.261.32<0.001
Hendrich's fall risk score1.361.291.42<0.001
Dose of zolpidem1.211.171.26<0.001

Zolpidem use continued to be significantly associated with increased fall risk (adjusted OR = 6.39; 95% CI = 3.0714.49; P < 0.001) after multivariable logistic regression analyses accounting for all factors where the association with increased fall risk was statistically significant or close to significant on univariate analyses (Table 3). On further analyses, of all adult non‐ICU, non‐pregnant inpatients who sustained a fall, those who sustained a fall after receiving zolpidem did not differ from other inpatients who did not sustain a fall in terms of their age (59.6 17.95 vs 63.2 16.8 years; P = 0.07), antidepressant (42.62% vs 39.70%; P = 0.39), antipsychotic (9.83% vs 13.78%; P = 0.24), antihistamine (6.55% vs 3.49%; P = 0.10), sedative antidepressant (14.75% vs 15.80%; P = 0.31), benzodiazepine (36.06% vs 26.86%; P = 0.83), or opioid use (55.73% vs 43.01%; P = 0.66).

Multivariate Analysis of Potential Risk Factors for Falls
CharacteristicAdjusted Odds Ratio of FallingLower Confidence Interval*Upper Confidence Interval*P Value
  • 95% Confidence intervals;

  • per 1 year increase in age;

  • per unit increase in Hendrich's fall risk score;

  • per unit increase in Charlson index;

  • per 1 mg increase in dose.

Zolpidem administration6.393.0714.49<0.001
Male sex1.240.931.670.14
Insomnia1.601.172.170.003
Delirium2.621.733.88<0.001
Cognitive impairment1.470.334.530.56
Age1.041.031.05<0.001
Hendrich's fall risk score1.301.231.36<0.001
Charlson index1.331.291.36<0.001
Dose0.940.821.060.37

DISCUSSION

In this study, zolpidem use was associated with an increased risk of falling in hospitalized patients. We calculate that for every 55 inpatients administered zolpidem, we might expect one more fall than would otherwise have occurred. To our knowledge, this is the largest study examining the association between zolpidem use and falls in an inpatient setting. Previous literature have not accounted for the presence of several other factors that could increase fall risk in hospitalized patients using zolpidem, such as visual impairment, gait abnormalities, and type of admission. In our study, insomnia and delirium were associated with higher rates of falls, however, the risk of sustaining a fall after receiving zolpidem continued to remain elevated even after accounting for these and multiple other risk factors.

Previous research in healthy volunteers found that subjects who received zolpidem experienced increased difficulty maintaining their balance.15, 16 The subject's ability to correct their balance, with their eyes closed and also with their eyes open, was adversely affected, indicating that both proprioception and visually enabled balance correction were impacted. Navigating obstacles in a hospital setting, where the patient is in a novel environment and on other medications that could impact balance, is potentially made significantly worse by zolpidem, thus resulting in an increased fall risk.

While a previous case‐control study of inpatients, 65 years and older, reported increased rates of zolpidem use among inpatients who sustained a fall, it did not report whether this association continued to remain significant after accounting for potential confounders.9 Another study, in a similar age group and carried out in an ambulatory community setting, found that patients who sustained a hip fracture were more likely to have received zolpidem in the 6 months prior to their fall.8 In this study, zolpidem use continued to be significantly associated with hip fractures after accounting for potential confounders such as the use of other medication, age, comorbidity index score, the number of hospital days, and the number of nursing days. Our study differs from these studies in that it was a cohort study in an inpatient setting, and we included all non‐pregnant adult hospitalized patients outside of the ICU. Also, we examined medication administration in the 24 hours prior to a fall rather than medications simply prescribed in the months prior to a fall.8 In our cohort of adult inpatients, the odds of zolpidem use among patients who fell was greater than those previously reported. This could indicate increased vulnerability in hospitalized patients compared to community‐dwelling elderly.

Insomnia, older age, and delirium have all been shown to be associated with an increased risk of falls in previous research.1517 In one study of community‐dwelling older adults, the authors found a higher risk of falling in subjects with insomnia, but not in those who received a hypnotic agent.15 Delirium increases the likelihood of nocturnal wandering, also associated with increased risk of fall. Our inpatient cohort study confirms these prior findings: insomnia, delirium, and older age were all associated with an increased risk of falling. However, zolpidem use continued to remain a significant risk factor for falls even after accounting for these risk factors.

Hospitalized patients are more likely to be physically compromised and on a greater number of medications compared to community‐dwelling subjects, and hence at increased risk of falling. Multiple classes of medications have been shown to be associated with an increased fall risk in hospitalized patients.14 In our study, the patients who sustained a fall after receiving zolpidem did not differ from other patients who sustained a fall in terms of their medication use. Zolpidem thus appears to increase the risk of falling beyond that attributable to other medications in hospitalized patients.

A recent United States Preventive Services Task Force on Prevention of Falls in Community Dwelling Older Adults recommendation indicates that withdrawal of medication alone does not appear to have a significant impact on fall rates.18 Another study indicates that reduced benozodiazepine use did not significantly reduce the rates of hip fractures in the community.19 While these studies indicate that fall risk is multifactorial and requires a complex set of interventions, our results indicate that there might be an association between zolpidem administration and falls in an inpatient setting. Changing order sets so that zolpidem use is not encouraged could potentially reduce fall rates in hospitalized patients, a step that we have already taken in our institution based upon these findings. Other potential measures to reduce fall risk include the use of fall precautions in patients who are prescribed zolpidem or use of non‐pharmacologic treatments for insomnia. However, these interventions would need to be empirically tested before they could be recommended with confidence.

The results of this study must be viewed in the light of some limitations. Although we included age, sex, zolpidem dose, length of hospital stay, Charlson comorbidity index score, fall risk score, and diagnoses of insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, and delirium in our analyses, we were unable to account for the degree of severity of these conditions. There could also be other possible medical conditions that result in an increased risk of falling that were not accounted for in our analyses. While we did attempt to correct for insomnia and delirium diagnoses, transient complaints of insomnia or altered mental status may have been missed by our retrospective methodology, and perhaps could co‐associate with risk of falling. Furthermore, administration of zolpidem was associated with a higher risk of falls when compared to other patients who were prescribed zolpidem, and also when compared to all other patients regardless of zolpidem prescription. We used ICD‐9 codes to identify patients with insomnia, delirium, visual impairment, and gait abnormalities, and these could be prone to misclassification and possible ascertainment bias. Finally, we were unable to account for use of medications that might potentially increase the risk of falling in the entire cohort. We were, however, able to account for this in the subset of patients who sustained a fall, and did not note a difference between the group that received zolpidem and the group that did not. In these analyses, we were able to account for administration of these other medications, but not the dose or cumulative dose.

CONCLUSIONS

Our study, the largest in an inpatient cohort, reveals that zolpidem administration is associated with increased risk of falling even after accounting for insomnia, delirium, and multiple other risk factors. Patients who sustained a fall after receiving zolpidem did not differ from other patients who sustained a fall, in terms of age or use of other medications conferring increased fall risk. Although insomnia and delirium are also associated with an increased risk of falling, addition of zolpidem in this situation appears to result in a further increase in fall risk. Presently, because there is limited evidence to recommend other hypnotic agents as safer alternatives in inpatient settings, non‐pharmacological measures to improve the sleep of hospitalized patients should be investigated as preferred methods to provide safe relief from complaints of disturbed sleep.

Acknowledgements

The authors acknowledge Anna Halverson, RN, from Nursing Practice Resources, for providing patient fall data from the Mayo Clinic Rochester Event Tracking System used in analysis; and Erek Lam, MD, for helping with data abstraction from the electronic medical record.

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  17. Bates DW,Pruess K,Souney P,Platt R.Serious falls in hospitalized patients: correlates and resource utilization.Am J Med.1995;99;137143.
  18. United States Preventive Services Task Force on the Prevention of Falls in Community‐Dwelling Older Adults.2012. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsfalls.htm. Accessed on July 1, 2012.
  19. Wagner AK,Ross‐Degnan D,Gurwitz JH, et al.Effect of New York State regulatory action on benzodiazepine prescribing and hip fracture rates.Ann Intern Med.2007;146;96103.
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Hospitalized patients have increased rates of sleep disturbances.1, 2 Sleep disturbances are perceived to be disruptive to both patients and staff, a putative reason for the high rates of hypnotic use in hospitalized patients.3, 4 Zolpidem, a short‐acting, non‐benzodiazepine, benzodiazepine receptor agonist that acts at the ‐aminobutyric acid (GABA)‐A receptor complex, is the most commonly prescribed hypnotic agent in the United States.5, 6 It is also extremely commonly used in inpatient settings. Although zolpidem is thought to have a relatively benign side‐effect profile, it has been found to impair balance in healthy volunteers, even after a single dose.7 Zolpidem use has been found to be higher in community‐dwelling adults who sustained a hip fracture.8, 9

Falls in the inpatient setting are associated with significantly increased morbidity, serious injury, and can result in a prolonged hospital stay and increased healthcare expenditure.10, 11 It is for these reasons that fall reduction is one of the target aims of the Department of Health and Human Services Partnership for Patients.10 While many fall prevention programs have been shown to be effective, they are resource intensive.11 If zolpidem use were associated with increased rates of falls in hospitalized patients, decreasing zolpidem prescription could be an easy and effective intervention in order to reduce fall risk.

A previous case‐control study showed increased zolpidem use in geriatric inpatients who sustained a fall.8 However, the literature linking zolpidem use with an increased fall risk in hospitalized patients is based upon a small sample and does not correct for potential confounders, such as other medication use, delirium, or insomnia.8

We aimed to conduct a cohort study in a large inpatient teaching hospital to ascertain whether zolpidem is associated with increased rates of falls after accounting for age, sex, insomnia, delirium, and use of other medications previously shown to be associated with increased fall risk.

METHODS

All inpatients 18 years or older, admitted in 2010 to hospitals at Mayo Clinic, Rochester, MN, who were prescribed zolpidem were eligible for inclusion in the study. We excluded all patients who were pregnant and those in the intensive care unit (ICU) setting. We compared the group that was prescribed zolpidem and received it, to the group that was prescribed zolpidem but did not receive the medication. We restricted the analysis to patients who were prescribed zolpidem because there may be systematic differences between patients eligible to receive zolpidem and patients in whom zolpidem is not prescribed at all. Our institutional admission order sets provide physicians and other healthcare providers an option of selecting as‐needed zolpidem or trazodone as sleep aids. Zolpidem was the most common sleep aid that was prescribed to inpatients with a ratio of zolpidem to trazodone prescriptions being 2:1.

We used the pharmacy database to identify all eligible inpatients who were prescribed or administered either scheduled or as needed (PRN) zolpidem during the study period. All details regarding zolpidem prescription and administration were obtained from the inpatient pharmacy electronic database. This database includes all zolpidem orders that were placed in the inpatient setting. The database also includes details of dose and time of all zolpidem administrations.

The institution uses electronic medication profiles, and automated dispensing machines with patient profiles and point‐of‐care barcode scan technology, which forces highly accurate electronic documentation of the medication administered. The documentation of medication not given or patient refusal would be documented as not administered.

We reviewed the electronic medical record to ascertain demographics, as well as diagnoses of visual impairment, gait abnormality, cognitive impairment/dementia, insomnia, and delirium, based on International Classification of Diseases, Ninth Revision (ICD‐9) diagnosis codes for these conditions (see Supporting Information, Appendix 1, in the online version of this article). These diagnostic codes were electronically abstracted from the medical record. The diagnosis codes are entered by medical coding specialists based on review of all provider notes. Hospital length of stay, Charlson comorbidity index scores, and Hendrich's fall risk scores from day of admission were abstracted from the individual electronic medical records. The nursing staff at our institution perform all the requisite assessments and electronically input all components required to calculate a Hendrich's fall risk score upon admission.

The Charlson index is a composite score calculated based on a patient's medical comorbidities. Each comorbidity is designated a score of 1, 2, 3, or 6 based on the risk of mortality associated with that condition.12 The Hendrich's fall risk is calculated based on the patient's current medication regimen, level of alertness, current medical condition, and the get up and go test.13A score of 5 or greater indicates increased risk of falling. These scores from the day of admission were available for all patients and were extracted from the nursing flow sheet.

At our institution, all falls are required to be called into a central event reporting system, and each fall receives an analysis regarding risk factors and proximal causes. We obtained details of all inpatient falls from this event system. The medication administration record, a part of the patient's electronic medical record, was accessed to identify all medications administered in the 24 hours prior to the fall. Medications were grouped into their respective pharmacologic classes. Antidepressants, antipsychotics, antihistamines, sedative antidepressants (this class included trazodone and mirtazapine), benzodiazepines, and opioids were included in the analyses. These medications have previously been shown to be associated with increased risk of falls.14

Statistical analyses were performed using JMP (version 9.03, Cary, NC). Univariate analyses were performed to calculate the odds ratio of falling in inpatients who were administered zolpidem, in male patients, those admitted to a surgical floor, and in those that had a diagnosis of insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, or delirium. Hospital length of stay, age, zolpidem dose, Charlson comorbidity index scores, and Hendrich's fall risk scores were treated as continuous variables, and odds ratio of falling per unit increase was calculated for each of these variables.

Multivariable logistic regression analysis was performed to calculate the odds of falling in patients who received zolpidem, after accounting for age, gender, insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, delirium, hospital length of stay, zolpidem dose, Charlson comorbidity index scores, and Hendrich's fall risk scores. Logistic regression analyses was repeated with only those factors that were significantly associated (P < 0.05) with falls or factors where the association was close to statistical significance (P < 0.08).

To account for the presence of other medications that might have increased fall risk, separate analyses using the MannWhitney U test comparing medication use in all hospitalized patients who sustained a fall were performed. We compared the rates of use of antidepressants, antipsychotics, antihistamines, sedative antidepressants (this class included trazodone and mirtazapine), benzodiazepines, and opioid medication in patients who were administered zolpidem to those patients not administered zolpidem in the 24 hours prior to sustaining a fall. This study had the requisite institutional review board approval.

RESULTS

There were 41,947 eligible admissions during the study period. Of these, a total of 16,320 (38.9%; mean age 54.7 18 years) patients were prescribed zolpidem. Among these patients, 4962 (30.4% of those prescribed, or 11.8% of all admissions) were administered zolpidem during the study period (Figure 1). The majority (88%) of zolpidem prescriptions were for PRN or as needed use. Patients who received zolpidem were older than those who were prescribed the medication but did not receive it (56.84 17.2 years vs 53.79 18.31 years; P < 0.001).

Figure 1
Breakdown of patient population and fall risk as it relates to zolpidem order and administration.

Patients who were prescribed and received zolpidem were more likely to be male, or have insomnia or delirium. They had higher Charlson comorbidity index scores and were more likely to be on a surgical floor. There was no statistically significant difference between patients who received zolpidem and patients who were prescribed but did not receive zolpidem in terms of their fall risk scores, length of hospital stay, rates of visual impairment, gait abnormalities, and cognitive impairment/dementia (all P > 0.05) (Table 1).

Demographic Characteristics of All Patients Who Were Prescribed Zolpidem
CharacteristicsZolpidem Administered N = 4962 (%)Zolpidem Not Administered N = 11,358 (%)P Value
  • Abbreviations: SD, standard deviation.

Age56.84 17.24 y53.8 18.30 y<0.0001
Males2442 (49.21)4490 (39.53)<0.0001
Falls151 (3.04)81 (0.71)<0.0001
Insomnia1595 (32.3)1942 (17.1)<0.0001
Delirium411 (8.28)378 (3.33)<0.0001
Cognitive impairment38 (0.77)63 (0.55)0.11
Visual impairment84 (1.69)198 (1.74)0.82
Gait abnormalities814 (16.40)1761 (15.50)0.15
Patients on surgical floors2423 (48.8)5736 (50.50)0.05
Length of hospital stay (mean/SD)4.26 8.03 d4.18 8.07 d0.60
Charlson index (mean/SD)4.07 3.813.76 3.70<0.0001
Hendrich's fall risk score (mean/SD)1.97 1.931.91 1.970.08

During the study period, there were a total of 672 total falls, with 609 unique patients falls (fall rate of 1.45/100 patients). Those who were administered zolpidem had an increased risk of falling compared to patients who were prescribed, but were not administered, zolpidem (fall rate of 3.04/100 patients vs 0.71/100 patients; odds ratio [OR] = 4.37, 95% confidence interval [CI] = 3.335.74; P < 0.001). Additionally, patients who received zolpidem had an increased risk of falling, as opposed to all other adult inpatients who did not receive zolpidemwhether prescribed zolpidem or not (3.04 falls/100 patients vs 1.24 falls/100 patients; OR = 2.50, 95% CI = 2.083.02; P < 0.001). The absolute increase in risk of sustaining a fall after receiving zolpidem as compared to all other adult inpatients was 1.8%, revealing a number needed to harm of 55.

During the study period, a total of 21,354 doses of zolpidem were administered, revealing a fall rate of 0.007 falls per dose of zolpidem administered (151/21,354). This was significantly greater than the baseline fall risk of 0.0028 falls per day of hospitalization (672/240,015 total hospital days) (P < 0.0001).

On univariate analyses, zolpidem use (OR = 4.37; 95% CI = 3.345.76; P < 0.001), male sex (OR = 1.36; 95% CI = 1.051.76; P = 0.02), insomnia (OR = 2.37; 95% CI = 1.813.08; P < 0.01), and delirium (OR = 4.96; 95% CI = 3.526.86; P < 0.001) were significantly associated with increased falls, as were increasing age, Charlson comorbidity index scores, fall risk scores, and dose of zolpidem (Table 2). While the association between the presence of cognitive impairment/dementia and falling was close to significant (OR = 2.89; 95% CI = 0.886.98; P = 0.075), the association between fall risk and the presence of visual impairment, gait abnormalities, and being on a surgical floor was not statistically significant.

Univariate Analysis of Potential Risk Factors for Falling in All Patients Prescribed Zolpidem
Risk FactorOdds Ratio of FallingLower Confidence Interval*Upper Confidence Interval*P Value
  • 95% Confidence intervals;

  • per 1 year increase in age;

  • per 1 day increase in length of hospital stay;

  • per unit increase in Charlson score;

  • per unit increase in Hendrich's fall risk score;

  • per 1 mg increase in dose.

Zolpidem administration4.373.345.76<0.001
Male sex1.361.051.760.02
Insomnia2.371.813.08<0.001
Delirium4.963.526.86<0.001
Cognitive impairment2.890.886.980.075
Visual impairment1.260.442.760.63
Gait abnormalities1.220.861.680.26
Being on a surgical floors0.880.681.150.36
Age1.011.011.02<0.001
Length of hospital stay0.990.981.010.93
Charlson index1.291.261.32<0.001
Hendrich's fall risk score1.361.291.42<0.001
Dose of zolpidem1.211.171.26<0.001

Zolpidem use continued to be significantly associated with increased fall risk (adjusted OR = 6.39; 95% CI = 3.0714.49; P < 0.001) after multivariable logistic regression analyses accounting for all factors where the association with increased fall risk was statistically significant or close to significant on univariate analyses (Table 3). On further analyses, of all adult non‐ICU, non‐pregnant inpatients who sustained a fall, those who sustained a fall after receiving zolpidem did not differ from other inpatients who did not sustain a fall in terms of their age (59.6 17.95 vs 63.2 16.8 years; P = 0.07), antidepressant (42.62% vs 39.70%; P = 0.39), antipsychotic (9.83% vs 13.78%; P = 0.24), antihistamine (6.55% vs 3.49%; P = 0.10), sedative antidepressant (14.75% vs 15.80%; P = 0.31), benzodiazepine (36.06% vs 26.86%; P = 0.83), or opioid use (55.73% vs 43.01%; P = 0.66).

Multivariate Analysis of Potential Risk Factors for Falls
CharacteristicAdjusted Odds Ratio of FallingLower Confidence Interval*Upper Confidence Interval*P Value
  • 95% Confidence intervals;

  • per 1 year increase in age;

  • per unit increase in Hendrich's fall risk score;

  • per unit increase in Charlson index;

  • per 1 mg increase in dose.

Zolpidem administration6.393.0714.49<0.001
Male sex1.240.931.670.14
Insomnia1.601.172.170.003
Delirium2.621.733.88<0.001
Cognitive impairment1.470.334.530.56
Age1.041.031.05<0.001
Hendrich's fall risk score1.301.231.36<0.001
Charlson index1.331.291.36<0.001
Dose0.940.821.060.37

DISCUSSION

In this study, zolpidem use was associated with an increased risk of falling in hospitalized patients. We calculate that for every 55 inpatients administered zolpidem, we might expect one more fall than would otherwise have occurred. To our knowledge, this is the largest study examining the association between zolpidem use and falls in an inpatient setting. Previous literature have not accounted for the presence of several other factors that could increase fall risk in hospitalized patients using zolpidem, such as visual impairment, gait abnormalities, and type of admission. In our study, insomnia and delirium were associated with higher rates of falls, however, the risk of sustaining a fall after receiving zolpidem continued to remain elevated even after accounting for these and multiple other risk factors.

Previous research in healthy volunteers found that subjects who received zolpidem experienced increased difficulty maintaining their balance.15, 16 The subject's ability to correct their balance, with their eyes closed and also with their eyes open, was adversely affected, indicating that both proprioception and visually enabled balance correction were impacted. Navigating obstacles in a hospital setting, where the patient is in a novel environment and on other medications that could impact balance, is potentially made significantly worse by zolpidem, thus resulting in an increased fall risk.

While a previous case‐control study of inpatients, 65 years and older, reported increased rates of zolpidem use among inpatients who sustained a fall, it did not report whether this association continued to remain significant after accounting for potential confounders.9 Another study, in a similar age group and carried out in an ambulatory community setting, found that patients who sustained a hip fracture were more likely to have received zolpidem in the 6 months prior to their fall.8 In this study, zolpidem use continued to be significantly associated with hip fractures after accounting for potential confounders such as the use of other medication, age, comorbidity index score, the number of hospital days, and the number of nursing days. Our study differs from these studies in that it was a cohort study in an inpatient setting, and we included all non‐pregnant adult hospitalized patients outside of the ICU. Also, we examined medication administration in the 24 hours prior to a fall rather than medications simply prescribed in the months prior to a fall.8 In our cohort of adult inpatients, the odds of zolpidem use among patients who fell was greater than those previously reported. This could indicate increased vulnerability in hospitalized patients compared to community‐dwelling elderly.

Insomnia, older age, and delirium have all been shown to be associated with an increased risk of falls in previous research.1517 In one study of community‐dwelling older adults, the authors found a higher risk of falling in subjects with insomnia, but not in those who received a hypnotic agent.15 Delirium increases the likelihood of nocturnal wandering, also associated with increased risk of fall. Our inpatient cohort study confirms these prior findings: insomnia, delirium, and older age were all associated with an increased risk of falling. However, zolpidem use continued to remain a significant risk factor for falls even after accounting for these risk factors.

Hospitalized patients are more likely to be physically compromised and on a greater number of medications compared to community‐dwelling subjects, and hence at increased risk of falling. Multiple classes of medications have been shown to be associated with an increased fall risk in hospitalized patients.14 In our study, the patients who sustained a fall after receiving zolpidem did not differ from other patients who sustained a fall in terms of their medication use. Zolpidem thus appears to increase the risk of falling beyond that attributable to other medications in hospitalized patients.

A recent United States Preventive Services Task Force on Prevention of Falls in Community Dwelling Older Adults recommendation indicates that withdrawal of medication alone does not appear to have a significant impact on fall rates.18 Another study indicates that reduced benozodiazepine use did not significantly reduce the rates of hip fractures in the community.19 While these studies indicate that fall risk is multifactorial and requires a complex set of interventions, our results indicate that there might be an association between zolpidem administration and falls in an inpatient setting. Changing order sets so that zolpidem use is not encouraged could potentially reduce fall rates in hospitalized patients, a step that we have already taken in our institution based upon these findings. Other potential measures to reduce fall risk include the use of fall precautions in patients who are prescribed zolpidem or use of non‐pharmacologic treatments for insomnia. However, these interventions would need to be empirically tested before they could be recommended with confidence.

The results of this study must be viewed in the light of some limitations. Although we included age, sex, zolpidem dose, length of hospital stay, Charlson comorbidity index score, fall risk score, and diagnoses of insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, and delirium in our analyses, we were unable to account for the degree of severity of these conditions. There could also be other possible medical conditions that result in an increased risk of falling that were not accounted for in our analyses. While we did attempt to correct for insomnia and delirium diagnoses, transient complaints of insomnia or altered mental status may have been missed by our retrospective methodology, and perhaps could co‐associate with risk of falling. Furthermore, administration of zolpidem was associated with a higher risk of falls when compared to other patients who were prescribed zolpidem, and also when compared to all other patients regardless of zolpidem prescription. We used ICD‐9 codes to identify patients with insomnia, delirium, visual impairment, and gait abnormalities, and these could be prone to misclassification and possible ascertainment bias. Finally, we were unable to account for use of medications that might potentially increase the risk of falling in the entire cohort. We were, however, able to account for this in the subset of patients who sustained a fall, and did not note a difference between the group that received zolpidem and the group that did not. In these analyses, we were able to account for administration of these other medications, but not the dose or cumulative dose.

CONCLUSIONS

Our study, the largest in an inpatient cohort, reveals that zolpidem administration is associated with increased risk of falling even after accounting for insomnia, delirium, and multiple other risk factors. Patients who sustained a fall after receiving zolpidem did not differ from other patients who sustained a fall, in terms of age or use of other medications conferring increased fall risk. Although insomnia and delirium are also associated with an increased risk of falling, addition of zolpidem in this situation appears to result in a further increase in fall risk. Presently, because there is limited evidence to recommend other hypnotic agents as safer alternatives in inpatient settings, non‐pharmacological measures to improve the sleep of hospitalized patients should be investigated as preferred methods to provide safe relief from complaints of disturbed sleep.

Acknowledgements

The authors acknowledge Anna Halverson, RN, from Nursing Practice Resources, for providing patient fall data from the Mayo Clinic Rochester Event Tracking System used in analysis; and Erek Lam, MD, for helping with data abstraction from the electronic medical record.

Hospitalized patients have increased rates of sleep disturbances.1, 2 Sleep disturbances are perceived to be disruptive to both patients and staff, a putative reason for the high rates of hypnotic use in hospitalized patients.3, 4 Zolpidem, a short‐acting, non‐benzodiazepine, benzodiazepine receptor agonist that acts at the ‐aminobutyric acid (GABA)‐A receptor complex, is the most commonly prescribed hypnotic agent in the United States.5, 6 It is also extremely commonly used in inpatient settings. Although zolpidem is thought to have a relatively benign side‐effect profile, it has been found to impair balance in healthy volunteers, even after a single dose.7 Zolpidem use has been found to be higher in community‐dwelling adults who sustained a hip fracture.8, 9

Falls in the inpatient setting are associated with significantly increased morbidity, serious injury, and can result in a prolonged hospital stay and increased healthcare expenditure.10, 11 It is for these reasons that fall reduction is one of the target aims of the Department of Health and Human Services Partnership for Patients.10 While many fall prevention programs have been shown to be effective, they are resource intensive.11 If zolpidem use were associated with increased rates of falls in hospitalized patients, decreasing zolpidem prescription could be an easy and effective intervention in order to reduce fall risk.

A previous case‐control study showed increased zolpidem use in geriatric inpatients who sustained a fall.8 However, the literature linking zolpidem use with an increased fall risk in hospitalized patients is based upon a small sample and does not correct for potential confounders, such as other medication use, delirium, or insomnia.8

We aimed to conduct a cohort study in a large inpatient teaching hospital to ascertain whether zolpidem is associated with increased rates of falls after accounting for age, sex, insomnia, delirium, and use of other medications previously shown to be associated with increased fall risk.

METHODS

All inpatients 18 years or older, admitted in 2010 to hospitals at Mayo Clinic, Rochester, MN, who were prescribed zolpidem were eligible for inclusion in the study. We excluded all patients who were pregnant and those in the intensive care unit (ICU) setting. We compared the group that was prescribed zolpidem and received it, to the group that was prescribed zolpidem but did not receive the medication. We restricted the analysis to patients who were prescribed zolpidem because there may be systematic differences between patients eligible to receive zolpidem and patients in whom zolpidem is not prescribed at all. Our institutional admission order sets provide physicians and other healthcare providers an option of selecting as‐needed zolpidem or trazodone as sleep aids. Zolpidem was the most common sleep aid that was prescribed to inpatients with a ratio of zolpidem to trazodone prescriptions being 2:1.

We used the pharmacy database to identify all eligible inpatients who were prescribed or administered either scheduled or as needed (PRN) zolpidem during the study period. All details regarding zolpidem prescription and administration were obtained from the inpatient pharmacy electronic database. This database includes all zolpidem orders that were placed in the inpatient setting. The database also includes details of dose and time of all zolpidem administrations.

The institution uses electronic medication profiles, and automated dispensing machines with patient profiles and point‐of‐care barcode scan technology, which forces highly accurate electronic documentation of the medication administered. The documentation of medication not given or patient refusal would be documented as not administered.

We reviewed the electronic medical record to ascertain demographics, as well as diagnoses of visual impairment, gait abnormality, cognitive impairment/dementia, insomnia, and delirium, based on International Classification of Diseases, Ninth Revision (ICD‐9) diagnosis codes for these conditions (see Supporting Information, Appendix 1, in the online version of this article). These diagnostic codes were electronically abstracted from the medical record. The diagnosis codes are entered by medical coding specialists based on review of all provider notes. Hospital length of stay, Charlson comorbidity index scores, and Hendrich's fall risk scores from day of admission were abstracted from the individual electronic medical records. The nursing staff at our institution perform all the requisite assessments and electronically input all components required to calculate a Hendrich's fall risk score upon admission.

The Charlson index is a composite score calculated based on a patient's medical comorbidities. Each comorbidity is designated a score of 1, 2, 3, or 6 based on the risk of mortality associated with that condition.12 The Hendrich's fall risk is calculated based on the patient's current medication regimen, level of alertness, current medical condition, and the get up and go test.13A score of 5 or greater indicates increased risk of falling. These scores from the day of admission were available for all patients and were extracted from the nursing flow sheet.

At our institution, all falls are required to be called into a central event reporting system, and each fall receives an analysis regarding risk factors and proximal causes. We obtained details of all inpatient falls from this event system. The medication administration record, a part of the patient's electronic medical record, was accessed to identify all medications administered in the 24 hours prior to the fall. Medications were grouped into their respective pharmacologic classes. Antidepressants, antipsychotics, antihistamines, sedative antidepressants (this class included trazodone and mirtazapine), benzodiazepines, and opioids were included in the analyses. These medications have previously been shown to be associated with increased risk of falls.14

Statistical analyses were performed using JMP (version 9.03, Cary, NC). Univariate analyses were performed to calculate the odds ratio of falling in inpatients who were administered zolpidem, in male patients, those admitted to a surgical floor, and in those that had a diagnosis of insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, or delirium. Hospital length of stay, age, zolpidem dose, Charlson comorbidity index scores, and Hendrich's fall risk scores were treated as continuous variables, and odds ratio of falling per unit increase was calculated for each of these variables.

Multivariable logistic regression analysis was performed to calculate the odds of falling in patients who received zolpidem, after accounting for age, gender, insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, delirium, hospital length of stay, zolpidem dose, Charlson comorbidity index scores, and Hendrich's fall risk scores. Logistic regression analyses was repeated with only those factors that were significantly associated (P < 0.05) with falls or factors where the association was close to statistical significance (P < 0.08).

To account for the presence of other medications that might have increased fall risk, separate analyses using the MannWhitney U test comparing medication use in all hospitalized patients who sustained a fall were performed. We compared the rates of use of antidepressants, antipsychotics, antihistamines, sedative antidepressants (this class included trazodone and mirtazapine), benzodiazepines, and opioid medication in patients who were administered zolpidem to those patients not administered zolpidem in the 24 hours prior to sustaining a fall. This study had the requisite institutional review board approval.

RESULTS

There were 41,947 eligible admissions during the study period. Of these, a total of 16,320 (38.9%; mean age 54.7 18 years) patients were prescribed zolpidem. Among these patients, 4962 (30.4% of those prescribed, or 11.8% of all admissions) were administered zolpidem during the study period (Figure 1). The majority (88%) of zolpidem prescriptions were for PRN or as needed use. Patients who received zolpidem were older than those who were prescribed the medication but did not receive it (56.84 17.2 years vs 53.79 18.31 years; P < 0.001).

Figure 1
Breakdown of patient population and fall risk as it relates to zolpidem order and administration.

Patients who were prescribed and received zolpidem were more likely to be male, or have insomnia or delirium. They had higher Charlson comorbidity index scores and were more likely to be on a surgical floor. There was no statistically significant difference between patients who received zolpidem and patients who were prescribed but did not receive zolpidem in terms of their fall risk scores, length of hospital stay, rates of visual impairment, gait abnormalities, and cognitive impairment/dementia (all P > 0.05) (Table 1).

Demographic Characteristics of All Patients Who Were Prescribed Zolpidem
CharacteristicsZolpidem Administered N = 4962 (%)Zolpidem Not Administered N = 11,358 (%)P Value
  • Abbreviations: SD, standard deviation.

Age56.84 17.24 y53.8 18.30 y<0.0001
Males2442 (49.21)4490 (39.53)<0.0001
Falls151 (3.04)81 (0.71)<0.0001
Insomnia1595 (32.3)1942 (17.1)<0.0001
Delirium411 (8.28)378 (3.33)<0.0001
Cognitive impairment38 (0.77)63 (0.55)0.11
Visual impairment84 (1.69)198 (1.74)0.82
Gait abnormalities814 (16.40)1761 (15.50)0.15
Patients on surgical floors2423 (48.8)5736 (50.50)0.05
Length of hospital stay (mean/SD)4.26 8.03 d4.18 8.07 d0.60
Charlson index (mean/SD)4.07 3.813.76 3.70<0.0001
Hendrich's fall risk score (mean/SD)1.97 1.931.91 1.970.08

During the study period, there were a total of 672 total falls, with 609 unique patients falls (fall rate of 1.45/100 patients). Those who were administered zolpidem had an increased risk of falling compared to patients who were prescribed, but were not administered, zolpidem (fall rate of 3.04/100 patients vs 0.71/100 patients; odds ratio [OR] = 4.37, 95% confidence interval [CI] = 3.335.74; P < 0.001). Additionally, patients who received zolpidem had an increased risk of falling, as opposed to all other adult inpatients who did not receive zolpidemwhether prescribed zolpidem or not (3.04 falls/100 patients vs 1.24 falls/100 patients; OR = 2.50, 95% CI = 2.083.02; P < 0.001). The absolute increase in risk of sustaining a fall after receiving zolpidem as compared to all other adult inpatients was 1.8%, revealing a number needed to harm of 55.

During the study period, a total of 21,354 doses of zolpidem were administered, revealing a fall rate of 0.007 falls per dose of zolpidem administered (151/21,354). This was significantly greater than the baseline fall risk of 0.0028 falls per day of hospitalization (672/240,015 total hospital days) (P < 0.0001).

On univariate analyses, zolpidem use (OR = 4.37; 95% CI = 3.345.76; P < 0.001), male sex (OR = 1.36; 95% CI = 1.051.76; P = 0.02), insomnia (OR = 2.37; 95% CI = 1.813.08; P < 0.01), and delirium (OR = 4.96; 95% CI = 3.526.86; P < 0.001) were significantly associated with increased falls, as were increasing age, Charlson comorbidity index scores, fall risk scores, and dose of zolpidem (Table 2). While the association between the presence of cognitive impairment/dementia and falling was close to significant (OR = 2.89; 95% CI = 0.886.98; P = 0.075), the association between fall risk and the presence of visual impairment, gait abnormalities, and being on a surgical floor was not statistically significant.

Univariate Analysis of Potential Risk Factors for Falling in All Patients Prescribed Zolpidem
Risk FactorOdds Ratio of FallingLower Confidence Interval*Upper Confidence Interval*P Value
  • 95% Confidence intervals;

  • per 1 year increase in age;

  • per 1 day increase in length of hospital stay;

  • per unit increase in Charlson score;

  • per unit increase in Hendrich's fall risk score;

  • per 1 mg increase in dose.

Zolpidem administration4.373.345.76<0.001
Male sex1.361.051.760.02
Insomnia2.371.813.08<0.001
Delirium4.963.526.86<0.001
Cognitive impairment2.890.886.980.075
Visual impairment1.260.442.760.63
Gait abnormalities1.220.861.680.26
Being on a surgical floors0.880.681.150.36
Age1.011.011.02<0.001
Length of hospital stay0.990.981.010.93
Charlson index1.291.261.32<0.001
Hendrich's fall risk score1.361.291.42<0.001
Dose of zolpidem1.211.171.26<0.001

Zolpidem use continued to be significantly associated with increased fall risk (adjusted OR = 6.39; 95% CI = 3.0714.49; P < 0.001) after multivariable logistic regression analyses accounting for all factors where the association with increased fall risk was statistically significant or close to significant on univariate analyses (Table 3). On further analyses, of all adult non‐ICU, non‐pregnant inpatients who sustained a fall, those who sustained a fall after receiving zolpidem did not differ from other inpatients who did not sustain a fall in terms of their age (59.6 17.95 vs 63.2 16.8 years; P = 0.07), antidepressant (42.62% vs 39.70%; P = 0.39), antipsychotic (9.83% vs 13.78%; P = 0.24), antihistamine (6.55% vs 3.49%; P = 0.10), sedative antidepressant (14.75% vs 15.80%; P = 0.31), benzodiazepine (36.06% vs 26.86%; P = 0.83), or opioid use (55.73% vs 43.01%; P = 0.66).

Multivariate Analysis of Potential Risk Factors for Falls
CharacteristicAdjusted Odds Ratio of FallingLower Confidence Interval*Upper Confidence Interval*P Value
  • 95% Confidence intervals;

  • per 1 year increase in age;

  • per unit increase in Hendrich's fall risk score;

  • per unit increase in Charlson index;

  • per 1 mg increase in dose.

Zolpidem administration6.393.0714.49<0.001
Male sex1.240.931.670.14
Insomnia1.601.172.170.003
Delirium2.621.733.88<0.001
Cognitive impairment1.470.334.530.56
Age1.041.031.05<0.001
Hendrich's fall risk score1.301.231.36<0.001
Charlson index1.331.291.36<0.001
Dose0.940.821.060.37

DISCUSSION

In this study, zolpidem use was associated with an increased risk of falling in hospitalized patients. We calculate that for every 55 inpatients administered zolpidem, we might expect one more fall than would otherwise have occurred. To our knowledge, this is the largest study examining the association between zolpidem use and falls in an inpatient setting. Previous literature have not accounted for the presence of several other factors that could increase fall risk in hospitalized patients using zolpidem, such as visual impairment, gait abnormalities, and type of admission. In our study, insomnia and delirium were associated with higher rates of falls, however, the risk of sustaining a fall after receiving zolpidem continued to remain elevated even after accounting for these and multiple other risk factors.

Previous research in healthy volunteers found that subjects who received zolpidem experienced increased difficulty maintaining their balance.15, 16 The subject's ability to correct their balance, with their eyes closed and also with their eyes open, was adversely affected, indicating that both proprioception and visually enabled balance correction were impacted. Navigating obstacles in a hospital setting, where the patient is in a novel environment and on other medications that could impact balance, is potentially made significantly worse by zolpidem, thus resulting in an increased fall risk.

While a previous case‐control study of inpatients, 65 years and older, reported increased rates of zolpidem use among inpatients who sustained a fall, it did not report whether this association continued to remain significant after accounting for potential confounders.9 Another study, in a similar age group and carried out in an ambulatory community setting, found that patients who sustained a hip fracture were more likely to have received zolpidem in the 6 months prior to their fall.8 In this study, zolpidem use continued to be significantly associated with hip fractures after accounting for potential confounders such as the use of other medication, age, comorbidity index score, the number of hospital days, and the number of nursing days. Our study differs from these studies in that it was a cohort study in an inpatient setting, and we included all non‐pregnant adult hospitalized patients outside of the ICU. Also, we examined medication administration in the 24 hours prior to a fall rather than medications simply prescribed in the months prior to a fall.8 In our cohort of adult inpatients, the odds of zolpidem use among patients who fell was greater than those previously reported. This could indicate increased vulnerability in hospitalized patients compared to community‐dwelling elderly.

Insomnia, older age, and delirium have all been shown to be associated with an increased risk of falls in previous research.1517 In one study of community‐dwelling older adults, the authors found a higher risk of falling in subjects with insomnia, but not in those who received a hypnotic agent.15 Delirium increases the likelihood of nocturnal wandering, also associated with increased risk of fall. Our inpatient cohort study confirms these prior findings: insomnia, delirium, and older age were all associated with an increased risk of falling. However, zolpidem use continued to remain a significant risk factor for falls even after accounting for these risk factors.

Hospitalized patients are more likely to be physically compromised and on a greater number of medications compared to community‐dwelling subjects, and hence at increased risk of falling. Multiple classes of medications have been shown to be associated with an increased fall risk in hospitalized patients.14 In our study, the patients who sustained a fall after receiving zolpidem did not differ from other patients who sustained a fall in terms of their medication use. Zolpidem thus appears to increase the risk of falling beyond that attributable to other medications in hospitalized patients.

A recent United States Preventive Services Task Force on Prevention of Falls in Community Dwelling Older Adults recommendation indicates that withdrawal of medication alone does not appear to have a significant impact on fall rates.18 Another study indicates that reduced benozodiazepine use did not significantly reduce the rates of hip fractures in the community.19 While these studies indicate that fall risk is multifactorial and requires a complex set of interventions, our results indicate that there might be an association between zolpidem administration and falls in an inpatient setting. Changing order sets so that zolpidem use is not encouraged could potentially reduce fall rates in hospitalized patients, a step that we have already taken in our institution based upon these findings. Other potential measures to reduce fall risk include the use of fall precautions in patients who are prescribed zolpidem or use of non‐pharmacologic treatments for insomnia. However, these interventions would need to be empirically tested before they could be recommended with confidence.

The results of this study must be viewed in the light of some limitations. Although we included age, sex, zolpidem dose, length of hospital stay, Charlson comorbidity index score, fall risk score, and diagnoses of insomnia, visual impairment, gait abnormality, cognitive impairment/dementia, and delirium in our analyses, we were unable to account for the degree of severity of these conditions. There could also be other possible medical conditions that result in an increased risk of falling that were not accounted for in our analyses. While we did attempt to correct for insomnia and delirium diagnoses, transient complaints of insomnia or altered mental status may have been missed by our retrospective methodology, and perhaps could co‐associate with risk of falling. Furthermore, administration of zolpidem was associated with a higher risk of falls when compared to other patients who were prescribed zolpidem, and also when compared to all other patients regardless of zolpidem prescription. We used ICD‐9 codes to identify patients with insomnia, delirium, visual impairment, and gait abnormalities, and these could be prone to misclassification and possible ascertainment bias. Finally, we were unable to account for use of medications that might potentially increase the risk of falling in the entire cohort. We were, however, able to account for this in the subset of patients who sustained a fall, and did not note a difference between the group that received zolpidem and the group that did not. In these analyses, we were able to account for administration of these other medications, but not the dose or cumulative dose.

CONCLUSIONS

Our study, the largest in an inpatient cohort, reveals that zolpidem administration is associated with increased risk of falling even after accounting for insomnia, delirium, and multiple other risk factors. Patients who sustained a fall after receiving zolpidem did not differ from other patients who sustained a fall, in terms of age or use of other medications conferring increased fall risk. Although insomnia and delirium are also associated with an increased risk of falling, addition of zolpidem in this situation appears to result in a further increase in fall risk. Presently, because there is limited evidence to recommend other hypnotic agents as safer alternatives in inpatient settings, non‐pharmacological measures to improve the sleep of hospitalized patients should be investigated as preferred methods to provide safe relief from complaints of disturbed sleep.

Acknowledgements

The authors acknowledge Anna Halverson, RN, from Nursing Practice Resources, for providing patient fall data from the Mayo Clinic Rochester Event Tracking System used in analysis; and Erek Lam, MD, for helping with data abstraction from the electronic medical record.

References
  1. Yoder JC,Staisiunas PG,Meltzer DO,Knutson KL,Arora VM.Noise and sleep among adult medical inpatients: far from a quiet night.Arch Intern Med.2012;172:6870.
  2. Lane T,East LA.Sleep disruption experienced by surgical patients in an acute hospital.Br J Nurs.2008;17(12):766771.
  3. Humphries JD.Sleep disruption in hospitalized adults.Medsurg Nurs.2008;17:391395.
  4. Missildine K,Bergstrom N,Meininger J,Richards K,Foreman MD.Sleep in hospitalized elders: a pilot study.Geriatr Nurs.2010;31(4):263271.
  5. Walsh JK,Schweitzer PK.Ten‐year trends in the pharmacological treatment of insomnia.Sleep.1999;22:371375.
  6. Kripke DF,Langer RD,Kline LE.Hypnotics' association with mortality or cancer: a matched cohort study.BMJ Open2012:2:e000850e000850.
  7. Mets MAJ,Volkerts ER,Olivier B,Verster JC.Effect of hypnotic drugs on body balance and standing steadiness.Sleep Med Rev.2010;14:259267.
  8. Wang PS,Bohn RL,Glynn RJ,Mogun H,Avorn J.Zolpidem use and hip fractures in older people.J Am Geriatr Soc.2001;49:16851690.
  9. Chang C‐M,Chen M‐J,Tsai C‐Y, et al.Medical conditions and medications as risk factors of falls in the inpatient older people: a case‐control study.Int J Geriatr Psychiatry2011;26:602607.
  10. Department of Health and Human Services Partnership for Patients.2012. Available at: http://innovation.cms.gov/initiatives/partnership‐for‐patients/index.html. Accessed on July 1, 2012.
  11. Dibardino D,Cohen ER,Didwania A.Meta‐analysis: multidisciplinary fall prevention strategies in the acute care inpatient population.J Hosp Med.2012;7(6):497503.
  12. Charlson ME,Pompei P,Ales KL,MacKenzie CR.A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.J Chronic Dis.1987;40:373383.
  13. Hendrich A,Nyhuis A,Kippenbrock T,Soja ME.Hospital falls: development of a predictive model for clinical practice.Appl Nurs Res.1995;8:129139.
  14. Woolcott JC,Richardson KJ,Wiens MO, et al.Meta‐analysis of the impact of 9 medication classes on falls in elderly persons.Arch Intern Med.2009;169:19521960.
  15. Avidan AY,Fries BE,James ML, et al.Insomnia and hypnotic use, recorded in the minimum data set, as predictors of falls and hip fractures in Michigan nursing homes.J Am Geriatr Soc.2005;53:955962.
  16. von Renteln‐Kruse W,Krause T.Fall events in geriatric hospital in‐patients. Results of prospective recording over a 3 year period [in German].Z Gerontol Geriatr2004;37:914.
  17. Bates DW,Pruess K,Souney P,Platt R.Serious falls in hospitalized patients: correlates and resource utilization.Am J Med.1995;99;137143.
  18. United States Preventive Services Task Force on the Prevention of Falls in Community‐Dwelling Older Adults.2012. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsfalls.htm. Accessed on July 1, 2012.
  19. Wagner AK,Ross‐Degnan D,Gurwitz JH, et al.Effect of New York State regulatory action on benzodiazepine prescribing and hip fracture rates.Ann Intern Med.2007;146;96103.
References
  1. Yoder JC,Staisiunas PG,Meltzer DO,Knutson KL,Arora VM.Noise and sleep among adult medical inpatients: far from a quiet night.Arch Intern Med.2012;172:6870.
  2. Lane T,East LA.Sleep disruption experienced by surgical patients in an acute hospital.Br J Nurs.2008;17(12):766771.
  3. Humphries JD.Sleep disruption in hospitalized adults.Medsurg Nurs.2008;17:391395.
  4. Missildine K,Bergstrom N,Meininger J,Richards K,Foreman MD.Sleep in hospitalized elders: a pilot study.Geriatr Nurs.2010;31(4):263271.
  5. Walsh JK,Schweitzer PK.Ten‐year trends in the pharmacological treatment of insomnia.Sleep.1999;22:371375.
  6. Kripke DF,Langer RD,Kline LE.Hypnotics' association with mortality or cancer: a matched cohort study.BMJ Open2012:2:e000850e000850.
  7. Mets MAJ,Volkerts ER,Olivier B,Verster JC.Effect of hypnotic drugs on body balance and standing steadiness.Sleep Med Rev.2010;14:259267.
  8. Wang PS,Bohn RL,Glynn RJ,Mogun H,Avorn J.Zolpidem use and hip fractures in older people.J Am Geriatr Soc.2001;49:16851690.
  9. Chang C‐M,Chen M‐J,Tsai C‐Y, et al.Medical conditions and medications as risk factors of falls in the inpatient older people: a case‐control study.Int J Geriatr Psychiatry2011;26:602607.
  10. Department of Health and Human Services Partnership for Patients.2012. Available at: http://innovation.cms.gov/initiatives/partnership‐for‐patients/index.html. Accessed on July 1, 2012.
  11. Dibardino D,Cohen ER,Didwania A.Meta‐analysis: multidisciplinary fall prevention strategies in the acute care inpatient population.J Hosp Med.2012;7(6):497503.
  12. Charlson ME,Pompei P,Ales KL,MacKenzie CR.A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.J Chronic Dis.1987;40:373383.
  13. Hendrich A,Nyhuis A,Kippenbrock T,Soja ME.Hospital falls: development of a predictive model for clinical practice.Appl Nurs Res.1995;8:129139.
  14. Woolcott JC,Richardson KJ,Wiens MO, et al.Meta‐analysis of the impact of 9 medication classes on falls in elderly persons.Arch Intern Med.2009;169:19521960.
  15. Avidan AY,Fries BE,James ML, et al.Insomnia and hypnotic use, recorded in the minimum data set, as predictors of falls and hip fractures in Michigan nursing homes.J Am Geriatr Soc.2005;53:955962.
  16. von Renteln‐Kruse W,Krause T.Fall events in geriatric hospital in‐patients. Results of prospective recording over a 3 year period [in German].Z Gerontol Geriatr2004;37:914.
  17. Bates DW,Pruess K,Souney P,Platt R.Serious falls in hospitalized patients: correlates and resource utilization.Am J Med.1995;99;137143.
  18. United States Preventive Services Task Force on the Prevention of Falls in Community‐Dwelling Older Adults.2012. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsfalls.htm. Accessed on July 1, 2012.
  19. Wagner AK,Ross‐Degnan D,Gurwitz JH, et al.Effect of New York State regulatory action on benzodiazepine prescribing and hip fracture rates.Ann Intern Med.2007;146;96103.
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Investigational HCV Regimens Ditch the Interferon

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Investigational HCV Regimens Ditch the Interferon

BOSTON – Poor interferon: It was once the favored (and virtually only) effective therapy for hepatitis C viral infections, and now clinicians can’t wait to get rid of it.

Several investigational interferon-free oral regimens were the focus of studies presented at the annual meeting of the American Association for the Study of Liver Diseases.

The regimens combine various flavors of direct-acting antivirals (DAAs), with or without interferon’s faithful sidekick ribavirin, in dizzying combinations with varying degrees of efficacy.

Triple Therapy With Only New Agents

A triple DAA regimen that has been under study consists of daclatasvir, an investigational viral NS5Areplication complex inhibitor; asunaprevir, an investigational NS3 protease inhibitor; and BMS-791325, a nonnucleoside NS5B polymerase inhibitor (all three were from Bristol-Myers Squibb). This cocktail yielded high sustained virologic response (SVR) rates after both 12 and 24 weeks of treatment in previously untreated noncirrhotic patients with hepatitis C virus (HCV) genotype 1 chronic infections.

"SVR4 [SVR at 4 weeks post therapy] was achieved in all treatment-naïve genotype patients with post-treatment data available, including harder-to-treat patients with genotype 1a infection, high viral load, non-cirrhotic IL28b genotype," said Dr. Gregory T. Everson, professor of medicine and director of the section of hepatology at the University of Colorado in Denver.

In pilot studies, a dual regimen of daclatasvir and asunaprevir for 24 weeks was effective in prior null responders with genotype 1b but not 1a infections, prompting the investigators to see whether a triple whammy could improve efficacy in genotype 1a infections, remain tolerable, and ideally, be effective when given for only 12 weeks.

The ongoing open-label study compares daclatasvir 60 mg daily, asunaprevir 200 mg twice daily, and BMS-791325 75 mg twice daily for 12 or 24 weeks; a second part of the study looking at the combination with a 150-mg-higher dose of the latter agent does not have mature data as yet.

In a modified intention-to-treat analysis at 4 weeks of treatment, all 16 patients in a 24-week treatment cohort had HCV RNA levels below the lower limit of quantification (LLOQ). A the primary end point of 12 weeks, 15 (94%) had maintained viral suppression. At week 4 post treatment, 15 of the 16 patients still had viral RNA below the quantifiable level, for an SVR4 rate of 94%. One patient in this cohort withdrew from the trial at week 9 and is therefore considered a treatment failure.

In a second cohort of 16 patients treated for 12 weeks, rates of below-target or undetectable HCV RNA were 100% at treatment week 4, and 88% at week 12. Two patients who had withdrawn from the trial before the protocol-defined last treatment and therefore were not included in the 12-week analysis also had RNA levels below the LLOQ on subsequent visits, Dr. Everson said. The SVR4 and SVR12 rates were each 94% in this cohort.

The regimen was generally tolerated. No patients dropped out of the study due to adverse drug-related events, and no cases of viral breakthrough or post-treatment relapse have been reported to date, Dr. Everson said.

Ribavirin Optional

In another study, Dr. Mark S. Sulkowski, medical director of the viral hepatitis center at Johns Hopkins University, Baltimore, and his colleagues reported on a combination of daclatasvir and Gilead’s HCV polymerase inhibitor sofosbuvir with or without ribavirin, in patients with HCV genotypes 1, 2, and 3.

They looked at the combination of the two DAAs with or without ribavirin for 24 weeks of treatment in treatment-naïve patients with genotypes 1a or 1b, 2, and 3, and in two separate arms for 12 weeks in patients infected with genotypes 1a or 1b.

 

 

In the open-label trial, patients were randomly assigned to one of eight treatment groups. A total of 44 patients infected with genotypes 2 or 3 were assigned to receive daclatasvir 60 mg and sofosbuvir 400 mg daily, with one group also receiving ribavirin. In addition, 44 patients with genotypes 1a or 1b were assigned to daclatasvir and sofosbuvir at the same doses, with or without ribavirin, and in a separate randomization, 82 patients with genotype 1a or 1b were assigned to receive 12 weeks of the two DAAs with or without ribavirin.

The authors found that the combinations achieved SVRs in more than 93% of the entire patient sample. Among 44 patients with genotypes 2 or 3, 93% had an SVR24 rate of 93%, with 1 patient having a confirmed relapse.

Among 126 patients with genotype 1, 96% of those who had reached 12 weeks post treatment had an SVR12, including 3 who did not have an SVR4. The SVR24 rate in this group was 98%. One patient in this group was reinfected with a new HCV strain.

"Virologic response did not vary according to IL28B genotype, viral subtype, or the administration of ribavirin," Dr. Sulkowski said.

He noted that the combination was generally well tolerated, with low hemoglobin – often a concern with DAAs – occurring only among those patients who received ribavirin.

Sofosbuvir Stands Alone (Almost)

Another relatively simple regimen that was well tolerated and achieved sustained virologic response in some patients was a combination of sofosbuvir and weight-based or low-dose ribavirin. This combination was associated with a significant number of relapses, however.

Dr. Anu Osinusi, a clinical investigator at the National Institute of Allergy and Infectious Diseases, sought to determine whether a less complex and more tolerable regimen could be effective in an urban population with untreated HCV infection.

They enrolled 60 patients with HCV genotype 1. The majority of the patients were African Americans. In part 1 of the trial, the patients had stage 0 to 2 fibrosis. Part 2 of the trial included patients with all stages, including those with Child-Pugh Class A disease. Patients in part 1 received sofosbuvir 400 mg plus ribavirin 1,000-1,200 mg (10 patients). In part 2, 25 patients each were randomized either to the regimen above or to the same dose of sofosbuvir with low-dose ribavirin (600 mg).

In an interim intention-to-treat analysis, there was one dropout in part 1, and the remaining nine patients all had HCV RNA less than the LLOQ at weeks 4 and 12, at end of treatment, and maintained them out to SVR12.

In the second, randomized phase, 1 patient dropped out at week 3 of treatment in the full-dose ribavirin group; the remaining 24 patients all had RNA undetectable or below target at weeks 4, 12, and end of treatment, but by post-treatment week 4, 6 patients had relapse, yielding an SVR4 of 72%.

In the low-dose ribavirin arm, 3 patients dropped out by week 8. The remaining 22 patients, while on treatment, all had viral suppression at week 4, but 4 weeks after the end of therapy, 8 patients had relapsed, leaving an SVR4 of 56% (64% in a modified intention-to-treat analysis). "Ongoing analysis is currently focused on identifying the biologic correlates of HCV clearance, as well as identifying the mechanisms of relapse," Dr. Osinusi said.

The relapses were independent of baseline factors such as HCV RNA level, IL28B genotype, weight, race, degree of fibrosis, and ribavirin dose.

Both regimens were well tolerated, and both produced significant improvement of inflammation with treatment.

Dr. Everson’s study was supported by Bristol-Myers Squibb. He has received research support from the company. Dr. Sulkowski’s study was supported by Vertex Pharmaceuticals. He is a consultant to the company and has received grant and research support from it. Dr. Osinusi’s study was funded by the National Institutes of Health. She reported having no relevant financial disclosures.

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BOSTON – Poor interferon: It was once the favored (and virtually only) effective therapy for hepatitis C viral infections, and now clinicians can’t wait to get rid of it.

Several investigational interferon-free oral regimens were the focus of studies presented at the annual meeting of the American Association for the Study of Liver Diseases.

The regimens combine various flavors of direct-acting antivirals (DAAs), with or without interferon’s faithful sidekick ribavirin, in dizzying combinations with varying degrees of efficacy.

Triple Therapy With Only New Agents

A triple DAA regimen that has been under study consists of daclatasvir, an investigational viral NS5Areplication complex inhibitor; asunaprevir, an investigational NS3 protease inhibitor; and BMS-791325, a nonnucleoside NS5B polymerase inhibitor (all three were from Bristol-Myers Squibb). This cocktail yielded high sustained virologic response (SVR) rates after both 12 and 24 weeks of treatment in previously untreated noncirrhotic patients with hepatitis C virus (HCV) genotype 1 chronic infections.

"SVR4 [SVR at 4 weeks post therapy] was achieved in all treatment-naïve genotype patients with post-treatment data available, including harder-to-treat patients with genotype 1a infection, high viral load, non-cirrhotic IL28b genotype," said Dr. Gregory T. Everson, professor of medicine and director of the section of hepatology at the University of Colorado in Denver.

In pilot studies, a dual regimen of daclatasvir and asunaprevir for 24 weeks was effective in prior null responders with genotype 1b but not 1a infections, prompting the investigators to see whether a triple whammy could improve efficacy in genotype 1a infections, remain tolerable, and ideally, be effective when given for only 12 weeks.

The ongoing open-label study compares daclatasvir 60 mg daily, asunaprevir 200 mg twice daily, and BMS-791325 75 mg twice daily for 12 or 24 weeks; a second part of the study looking at the combination with a 150-mg-higher dose of the latter agent does not have mature data as yet.

In a modified intention-to-treat analysis at 4 weeks of treatment, all 16 patients in a 24-week treatment cohort had HCV RNA levels below the lower limit of quantification (LLOQ). A the primary end point of 12 weeks, 15 (94%) had maintained viral suppression. At week 4 post treatment, 15 of the 16 patients still had viral RNA below the quantifiable level, for an SVR4 rate of 94%. One patient in this cohort withdrew from the trial at week 9 and is therefore considered a treatment failure.

In a second cohort of 16 patients treated for 12 weeks, rates of below-target or undetectable HCV RNA were 100% at treatment week 4, and 88% at week 12. Two patients who had withdrawn from the trial before the protocol-defined last treatment and therefore were not included in the 12-week analysis also had RNA levels below the LLOQ on subsequent visits, Dr. Everson said. The SVR4 and SVR12 rates were each 94% in this cohort.

The regimen was generally tolerated. No patients dropped out of the study due to adverse drug-related events, and no cases of viral breakthrough or post-treatment relapse have been reported to date, Dr. Everson said.

Ribavirin Optional

In another study, Dr. Mark S. Sulkowski, medical director of the viral hepatitis center at Johns Hopkins University, Baltimore, and his colleagues reported on a combination of daclatasvir and Gilead’s HCV polymerase inhibitor sofosbuvir with or without ribavirin, in patients with HCV genotypes 1, 2, and 3.

They looked at the combination of the two DAAs with or without ribavirin for 24 weeks of treatment in treatment-naïve patients with genotypes 1a or 1b, 2, and 3, and in two separate arms for 12 weeks in patients infected with genotypes 1a or 1b.

 

 

In the open-label trial, patients were randomly assigned to one of eight treatment groups. A total of 44 patients infected with genotypes 2 or 3 were assigned to receive daclatasvir 60 mg and sofosbuvir 400 mg daily, with one group also receiving ribavirin. In addition, 44 patients with genotypes 1a or 1b were assigned to daclatasvir and sofosbuvir at the same doses, with or without ribavirin, and in a separate randomization, 82 patients with genotype 1a or 1b were assigned to receive 12 weeks of the two DAAs with or without ribavirin.

The authors found that the combinations achieved SVRs in more than 93% of the entire patient sample. Among 44 patients with genotypes 2 or 3, 93% had an SVR24 rate of 93%, with 1 patient having a confirmed relapse.

Among 126 patients with genotype 1, 96% of those who had reached 12 weeks post treatment had an SVR12, including 3 who did not have an SVR4. The SVR24 rate in this group was 98%. One patient in this group was reinfected with a new HCV strain.

"Virologic response did not vary according to IL28B genotype, viral subtype, or the administration of ribavirin," Dr. Sulkowski said.

He noted that the combination was generally well tolerated, with low hemoglobin – often a concern with DAAs – occurring only among those patients who received ribavirin.

Sofosbuvir Stands Alone (Almost)

Another relatively simple regimen that was well tolerated and achieved sustained virologic response in some patients was a combination of sofosbuvir and weight-based or low-dose ribavirin. This combination was associated with a significant number of relapses, however.

Dr. Anu Osinusi, a clinical investigator at the National Institute of Allergy and Infectious Diseases, sought to determine whether a less complex and more tolerable regimen could be effective in an urban population with untreated HCV infection.

They enrolled 60 patients with HCV genotype 1. The majority of the patients were African Americans. In part 1 of the trial, the patients had stage 0 to 2 fibrosis. Part 2 of the trial included patients with all stages, including those with Child-Pugh Class A disease. Patients in part 1 received sofosbuvir 400 mg plus ribavirin 1,000-1,200 mg (10 patients). In part 2, 25 patients each were randomized either to the regimen above or to the same dose of sofosbuvir with low-dose ribavirin (600 mg).

In an interim intention-to-treat analysis, there was one dropout in part 1, and the remaining nine patients all had HCV RNA less than the LLOQ at weeks 4 and 12, at end of treatment, and maintained them out to SVR12.

In the second, randomized phase, 1 patient dropped out at week 3 of treatment in the full-dose ribavirin group; the remaining 24 patients all had RNA undetectable or below target at weeks 4, 12, and end of treatment, but by post-treatment week 4, 6 patients had relapse, yielding an SVR4 of 72%.

In the low-dose ribavirin arm, 3 patients dropped out by week 8. The remaining 22 patients, while on treatment, all had viral suppression at week 4, but 4 weeks after the end of therapy, 8 patients had relapsed, leaving an SVR4 of 56% (64% in a modified intention-to-treat analysis). "Ongoing analysis is currently focused on identifying the biologic correlates of HCV clearance, as well as identifying the mechanisms of relapse," Dr. Osinusi said.

The relapses were independent of baseline factors such as HCV RNA level, IL28B genotype, weight, race, degree of fibrosis, and ribavirin dose.

Both regimens were well tolerated, and both produced significant improvement of inflammation with treatment.

Dr. Everson’s study was supported by Bristol-Myers Squibb. He has received research support from the company. Dr. Sulkowski’s study was supported by Vertex Pharmaceuticals. He is a consultant to the company and has received grant and research support from it. Dr. Osinusi’s study was funded by the National Institutes of Health. She reported having no relevant financial disclosures.

BOSTON – Poor interferon: It was once the favored (and virtually only) effective therapy for hepatitis C viral infections, and now clinicians can’t wait to get rid of it.

Several investigational interferon-free oral regimens were the focus of studies presented at the annual meeting of the American Association for the Study of Liver Diseases.

The regimens combine various flavors of direct-acting antivirals (DAAs), with or without interferon’s faithful sidekick ribavirin, in dizzying combinations with varying degrees of efficacy.

Triple Therapy With Only New Agents

A triple DAA regimen that has been under study consists of daclatasvir, an investigational viral NS5Areplication complex inhibitor; asunaprevir, an investigational NS3 protease inhibitor; and BMS-791325, a nonnucleoside NS5B polymerase inhibitor (all three were from Bristol-Myers Squibb). This cocktail yielded high sustained virologic response (SVR) rates after both 12 and 24 weeks of treatment in previously untreated noncirrhotic patients with hepatitis C virus (HCV) genotype 1 chronic infections.

"SVR4 [SVR at 4 weeks post therapy] was achieved in all treatment-naïve genotype patients with post-treatment data available, including harder-to-treat patients with genotype 1a infection, high viral load, non-cirrhotic IL28b genotype," said Dr. Gregory T. Everson, professor of medicine and director of the section of hepatology at the University of Colorado in Denver.

In pilot studies, a dual regimen of daclatasvir and asunaprevir for 24 weeks was effective in prior null responders with genotype 1b but not 1a infections, prompting the investigators to see whether a triple whammy could improve efficacy in genotype 1a infections, remain tolerable, and ideally, be effective when given for only 12 weeks.

The ongoing open-label study compares daclatasvir 60 mg daily, asunaprevir 200 mg twice daily, and BMS-791325 75 mg twice daily for 12 or 24 weeks; a second part of the study looking at the combination with a 150-mg-higher dose of the latter agent does not have mature data as yet.

In a modified intention-to-treat analysis at 4 weeks of treatment, all 16 patients in a 24-week treatment cohort had HCV RNA levels below the lower limit of quantification (LLOQ). A the primary end point of 12 weeks, 15 (94%) had maintained viral suppression. At week 4 post treatment, 15 of the 16 patients still had viral RNA below the quantifiable level, for an SVR4 rate of 94%. One patient in this cohort withdrew from the trial at week 9 and is therefore considered a treatment failure.

In a second cohort of 16 patients treated for 12 weeks, rates of below-target or undetectable HCV RNA were 100% at treatment week 4, and 88% at week 12. Two patients who had withdrawn from the trial before the protocol-defined last treatment and therefore were not included in the 12-week analysis also had RNA levels below the LLOQ on subsequent visits, Dr. Everson said. The SVR4 and SVR12 rates were each 94% in this cohort.

The regimen was generally tolerated. No patients dropped out of the study due to adverse drug-related events, and no cases of viral breakthrough or post-treatment relapse have been reported to date, Dr. Everson said.

Ribavirin Optional

In another study, Dr. Mark S. Sulkowski, medical director of the viral hepatitis center at Johns Hopkins University, Baltimore, and his colleagues reported on a combination of daclatasvir and Gilead’s HCV polymerase inhibitor sofosbuvir with or without ribavirin, in patients with HCV genotypes 1, 2, and 3.

They looked at the combination of the two DAAs with or without ribavirin for 24 weeks of treatment in treatment-naïve patients with genotypes 1a or 1b, 2, and 3, and in two separate arms for 12 weeks in patients infected with genotypes 1a or 1b.

 

 

In the open-label trial, patients were randomly assigned to one of eight treatment groups. A total of 44 patients infected with genotypes 2 or 3 were assigned to receive daclatasvir 60 mg and sofosbuvir 400 mg daily, with one group also receiving ribavirin. In addition, 44 patients with genotypes 1a or 1b were assigned to daclatasvir and sofosbuvir at the same doses, with or without ribavirin, and in a separate randomization, 82 patients with genotype 1a or 1b were assigned to receive 12 weeks of the two DAAs with or without ribavirin.

The authors found that the combinations achieved SVRs in more than 93% of the entire patient sample. Among 44 patients with genotypes 2 or 3, 93% had an SVR24 rate of 93%, with 1 patient having a confirmed relapse.

Among 126 patients with genotype 1, 96% of those who had reached 12 weeks post treatment had an SVR12, including 3 who did not have an SVR4. The SVR24 rate in this group was 98%. One patient in this group was reinfected with a new HCV strain.

"Virologic response did not vary according to IL28B genotype, viral subtype, or the administration of ribavirin," Dr. Sulkowski said.

He noted that the combination was generally well tolerated, with low hemoglobin – often a concern with DAAs – occurring only among those patients who received ribavirin.

Sofosbuvir Stands Alone (Almost)

Another relatively simple regimen that was well tolerated and achieved sustained virologic response in some patients was a combination of sofosbuvir and weight-based or low-dose ribavirin. This combination was associated with a significant number of relapses, however.

Dr. Anu Osinusi, a clinical investigator at the National Institute of Allergy and Infectious Diseases, sought to determine whether a less complex and more tolerable regimen could be effective in an urban population with untreated HCV infection.

They enrolled 60 patients with HCV genotype 1. The majority of the patients were African Americans. In part 1 of the trial, the patients had stage 0 to 2 fibrosis. Part 2 of the trial included patients with all stages, including those with Child-Pugh Class A disease. Patients in part 1 received sofosbuvir 400 mg plus ribavirin 1,000-1,200 mg (10 patients). In part 2, 25 patients each were randomized either to the regimen above or to the same dose of sofosbuvir with low-dose ribavirin (600 mg).

In an interim intention-to-treat analysis, there was one dropout in part 1, and the remaining nine patients all had HCV RNA less than the LLOQ at weeks 4 and 12, at end of treatment, and maintained them out to SVR12.

In the second, randomized phase, 1 patient dropped out at week 3 of treatment in the full-dose ribavirin group; the remaining 24 patients all had RNA undetectable or below target at weeks 4, 12, and end of treatment, but by post-treatment week 4, 6 patients had relapse, yielding an SVR4 of 72%.

In the low-dose ribavirin arm, 3 patients dropped out by week 8. The remaining 22 patients, while on treatment, all had viral suppression at week 4, but 4 weeks after the end of therapy, 8 patients had relapsed, leaving an SVR4 of 56% (64% in a modified intention-to-treat analysis). "Ongoing analysis is currently focused on identifying the biologic correlates of HCV clearance, as well as identifying the mechanisms of relapse," Dr. Osinusi said.

The relapses were independent of baseline factors such as HCV RNA level, IL28B genotype, weight, race, degree of fibrosis, and ribavirin dose.

Both regimens were well tolerated, and both produced significant improvement of inflammation with treatment.

Dr. Everson’s study was supported by Bristol-Myers Squibb. He has received research support from the company. Dr. Sulkowski’s study was supported by Vertex Pharmaceuticals. He is a consultant to the company and has received grant and research support from it. Dr. Osinusi’s study was funded by the National Institutes of Health. She reported having no relevant financial disclosures.

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AT THE ANNUAL MEETING OF THE AMERICAN ASSOCIATION FOR THE STUDY OF LIVER DISEASES

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General Residents See Fewer Aortic Surgeries

Challenges and Opportunities
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MILWAUKEE – General surgery residents in a community-based residency program experienced a significant 49% decline in open aortic surgeries over the last decade, an analysis showed.

In 2000-2001, residents were exposed to 20-25 open aortic cases per year, but now get in on 8-15 cases per year, said Dr. Adam Rothermel, a third-year general surgery resident at Mount Carmel Hospital in Columbus, Ohio, where the analysis was conducted.

Patrice Wendling/IMNG Medical Media
Dr. Adam Rothermel discussed how there were significantly fewer open aortic cases seen in general surgery resident training and what it might mean for vascular surgeons.

"Open aortic cases are difficult to find, and our residents, as a whole, would agree that we're not coming out with good enough experience with these cases," he said at the annual meeting of the Midwestern Vascular Surgical Society.

The results reflect the exponential shift from open vascular surgery to endovascular procedures over the last decade, as well as the more recent implementation of the 80-hour resident work week.

The total number of carotid endarterectomy, infrainguinal bypass, and open aortic cases for the entire hospital decreased by 55%, 30%, and 71%, respectively, over the study period of 2000 to 2011.

Total resident cases over the same period were unchanged for carotid endarterectomy (77 vs. 84 cases), trended downward for infrainguinal bypass (62 vs. 52 cases), and were significantly lower for open aortic cases (43 vs. 8 cases) according to a review of resident case logs, Dr. Rothermel said.

He pointed out that a significant portion of vascular surgery in the United States is still performed by general surgeons, citing surveys showing that general surgeons performed 59% of the vascular procedures in the United States in 1985 (J. Vasc. Surg. 1987;6:611-21) and 49% in 1992 (J. Vasc. Surg. 1996:23:172-81).

Session moderator Dr. Jean E. Starr, medical director of endovascular services at Ohio State University Medical Center in Columbus, said the current results parallel what's found nationally. She went on to ask what the findings imply for general surgery residents when they've finished training, and how this will reflect on patient practice in light of general surgeons performing half of vascular surgeries in the United States.

"When you get out of your general surgery training from a community based program and are expected then, going into say a rural center, to perform these operations, you have to give pause," Dr. Rothermel replied.

"I don't think I have a good way to fix the problem at this point, but I think we need to be aware of the trend."

Audience member Dr. Joseph Giglia, principal investigator for the laparoscopic aortic surgery program at the University of Cincinnati Medical Center, countered by asking whether the findings really matter given that open aortic cases are decreasing significantly across the country.

He pointed out that the latest survey data were 20 years old, and submitted that general surgeons no longer perform 50% of vascular surgeries in the United States.

"I think these cases are important for our primary vascular residents to participate in," Dr. Giglia said.

"I think there has to be a sea change, a real shift in the paradigm about who's doing these cases and what we're going to do in the future."

Dr. Rothermel agreed that another survey should be conducted to better reflect current practice trends.

If vascular surgeons are to pick up the bulk of the caseload, however, efforts to recruit medical students to the specialty may need to be enhanced.

A recent survey of 338 medical students showed that 236 first- and second-year students had no clinical exposure to vascular surgery, while only 38 of the 102 third-year students had been exposed to vascular surgery after completing a general surgery rotation (Ann. Vasc. Surg. 2012 July 25 [doi:10.1016/j.avsg.2012.02.012]).

Nearly half (49%) of first- and second-year students said that they would consider vascular surgery, however, with another 19% willing to do so if the length of training were reduced, according to the survey.

Dr. Rothermel and Dr. Starr reported no conflicts of interest.

Body

While it is true that general surgeons continue to perform a significant number of vascular operations, these procedures are largely limited to dialysis access and trauma. Based on surgical operative logs of surgeons seeking recertification by the American Board of Surgery, it appears that complex vascular procedures, including open abdominal aneurysms, are increasingly the domain of certified vascular surgeons. With available evidence supporting the relationship between surgical volume and outcome, this is a trend that is likely here to stay. The SCORE curriculum acknowledges this reality by not recommending substantial open vascular operative experience for general surgery residents other than dialysis access, amputations, and vascular trauma.

Dr. John F. Eidt

A more significant issue is the fact that vascular surgery residents are also reporting decreased experience with open abdominal surgery.

To some extent, the downward trend in open infrarenal AAA has been mitigated by an increase in a variety of complex debranching and hybrid procedures. Nonetheless, there is concern that current vascular residents may have insufficient operative experience with selected open complex procedures. One response has been growing interest in the development of robust surgical simulation.

While computer-based patient-specific simulation is on the horizon, it is extremely expensive, not universally available and still suffers from limitations in realism.

It is important to recognize that surgical simulation spans a broad spectrum including fundamental skills, cognitive task analysis, partial task trainers, open and endovascular models, crisis management and team training, in addition to high-end endovascular simulation.

The APDVS is actively developing and validating a series of fundamental endovascular skills modeled on the highly successful Fundamentals of Laparoscopic Surgery (FLS). One of the key features of FLS is that trainees must participate in deliberate practice in order to achieve established performance criteria.

Endovascular simulation has suffered from a lack of standardized metrics of performance and has sometimes been considered nothing more than advanced video games with little relationship to actual surgery.

In order to maximize the value of every open operative experience, it is expected that trainees will be required to achieve specified metrics of endovascular proficiency before progressing to more advanced activities including operations.

The 0+5 programs have proven remarkably popular with medical students as there are more than three applicants for each position. Still, despite the popularity, the total applicant pool represents less than 0.5% of the more than 18,000 graduating U.S. medical students.

Clearly, we must continue to provide pathways to vascular experience for medical students including suture labs, surgical simulation, research opportunities, and elective rotations. Finally, there is growing evidence that we are not training enough vascular surgeons to meet the needs of the aging population.

The addition of 40 new 0+5 residency positions over the past few years has resulted in a transient increase in the total number of first- year positions to approximately 160. But the cap on graduate medical education funding may require some programs to discontinue their 5+2 slots. Unless additional funding is forthcoming, the growth of vascular surgery as a specialty may be severely restricted. Clearly, these challenges represent opportunities for novel and creative solutions.

Dr. John F. Eidt is at the University of South Carolina School of Medicine Greenville, and is an associate medical editor for Vascular Specialist.

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Body

While it is true that general surgeons continue to perform a significant number of vascular operations, these procedures are largely limited to dialysis access and trauma. Based on surgical operative logs of surgeons seeking recertification by the American Board of Surgery, it appears that complex vascular procedures, including open abdominal aneurysms, are increasingly the domain of certified vascular surgeons. With available evidence supporting the relationship between surgical volume and outcome, this is a trend that is likely here to stay. The SCORE curriculum acknowledges this reality by not recommending substantial open vascular operative experience for general surgery residents other than dialysis access, amputations, and vascular trauma.

Dr. John F. Eidt

A more significant issue is the fact that vascular surgery residents are also reporting decreased experience with open abdominal surgery.

To some extent, the downward trend in open infrarenal AAA has been mitigated by an increase in a variety of complex debranching and hybrid procedures. Nonetheless, there is concern that current vascular residents may have insufficient operative experience with selected open complex procedures. One response has been growing interest in the development of robust surgical simulation.

While computer-based patient-specific simulation is on the horizon, it is extremely expensive, not universally available and still suffers from limitations in realism.

It is important to recognize that surgical simulation spans a broad spectrum including fundamental skills, cognitive task analysis, partial task trainers, open and endovascular models, crisis management and team training, in addition to high-end endovascular simulation.

The APDVS is actively developing and validating a series of fundamental endovascular skills modeled on the highly successful Fundamentals of Laparoscopic Surgery (FLS). One of the key features of FLS is that trainees must participate in deliberate practice in order to achieve established performance criteria.

Endovascular simulation has suffered from a lack of standardized metrics of performance and has sometimes been considered nothing more than advanced video games with little relationship to actual surgery.

In order to maximize the value of every open operative experience, it is expected that trainees will be required to achieve specified metrics of endovascular proficiency before progressing to more advanced activities including operations.

The 0+5 programs have proven remarkably popular with medical students as there are more than three applicants for each position. Still, despite the popularity, the total applicant pool represents less than 0.5% of the more than 18,000 graduating U.S. medical students.

Clearly, we must continue to provide pathways to vascular experience for medical students including suture labs, surgical simulation, research opportunities, and elective rotations. Finally, there is growing evidence that we are not training enough vascular surgeons to meet the needs of the aging population.

The addition of 40 new 0+5 residency positions over the past few years has resulted in a transient increase in the total number of first- year positions to approximately 160. But the cap on graduate medical education funding may require some programs to discontinue their 5+2 slots. Unless additional funding is forthcoming, the growth of vascular surgery as a specialty may be severely restricted. Clearly, these challenges represent opportunities for novel and creative solutions.

Dr. John F. Eidt is at the University of South Carolina School of Medicine Greenville, and is an associate medical editor for Vascular Specialist.

Body

While it is true that general surgeons continue to perform a significant number of vascular operations, these procedures are largely limited to dialysis access and trauma. Based on surgical operative logs of surgeons seeking recertification by the American Board of Surgery, it appears that complex vascular procedures, including open abdominal aneurysms, are increasingly the domain of certified vascular surgeons. With available evidence supporting the relationship between surgical volume and outcome, this is a trend that is likely here to stay. The SCORE curriculum acknowledges this reality by not recommending substantial open vascular operative experience for general surgery residents other than dialysis access, amputations, and vascular trauma.

Dr. John F. Eidt

A more significant issue is the fact that vascular surgery residents are also reporting decreased experience with open abdominal surgery.

To some extent, the downward trend in open infrarenal AAA has been mitigated by an increase in a variety of complex debranching and hybrid procedures. Nonetheless, there is concern that current vascular residents may have insufficient operative experience with selected open complex procedures. One response has been growing interest in the development of robust surgical simulation.

While computer-based patient-specific simulation is on the horizon, it is extremely expensive, not universally available and still suffers from limitations in realism.

It is important to recognize that surgical simulation spans a broad spectrum including fundamental skills, cognitive task analysis, partial task trainers, open and endovascular models, crisis management and team training, in addition to high-end endovascular simulation.

The APDVS is actively developing and validating a series of fundamental endovascular skills modeled on the highly successful Fundamentals of Laparoscopic Surgery (FLS). One of the key features of FLS is that trainees must participate in deliberate practice in order to achieve established performance criteria.

Endovascular simulation has suffered from a lack of standardized metrics of performance and has sometimes been considered nothing more than advanced video games with little relationship to actual surgery.

In order to maximize the value of every open operative experience, it is expected that trainees will be required to achieve specified metrics of endovascular proficiency before progressing to more advanced activities including operations.

The 0+5 programs have proven remarkably popular with medical students as there are more than three applicants for each position. Still, despite the popularity, the total applicant pool represents less than 0.5% of the more than 18,000 graduating U.S. medical students.

Clearly, we must continue to provide pathways to vascular experience for medical students including suture labs, surgical simulation, research opportunities, and elective rotations. Finally, there is growing evidence that we are not training enough vascular surgeons to meet the needs of the aging population.

The addition of 40 new 0+5 residency positions over the past few years has resulted in a transient increase in the total number of first- year positions to approximately 160. But the cap on graduate medical education funding may require some programs to discontinue their 5+2 slots. Unless additional funding is forthcoming, the growth of vascular surgery as a specialty may be severely restricted. Clearly, these challenges represent opportunities for novel and creative solutions.

Dr. John F. Eidt is at the University of South Carolina School of Medicine Greenville, and is an associate medical editor for Vascular Specialist.

Title
Challenges and Opportunities
Challenges and Opportunities

MILWAUKEE – General surgery residents in a community-based residency program experienced a significant 49% decline in open aortic surgeries over the last decade, an analysis showed.

In 2000-2001, residents were exposed to 20-25 open aortic cases per year, but now get in on 8-15 cases per year, said Dr. Adam Rothermel, a third-year general surgery resident at Mount Carmel Hospital in Columbus, Ohio, where the analysis was conducted.

Patrice Wendling/IMNG Medical Media
Dr. Adam Rothermel discussed how there were significantly fewer open aortic cases seen in general surgery resident training and what it might mean for vascular surgeons.

"Open aortic cases are difficult to find, and our residents, as a whole, would agree that we're not coming out with good enough experience with these cases," he said at the annual meeting of the Midwestern Vascular Surgical Society.

The results reflect the exponential shift from open vascular surgery to endovascular procedures over the last decade, as well as the more recent implementation of the 80-hour resident work week.

The total number of carotid endarterectomy, infrainguinal bypass, and open aortic cases for the entire hospital decreased by 55%, 30%, and 71%, respectively, over the study period of 2000 to 2011.

Total resident cases over the same period were unchanged for carotid endarterectomy (77 vs. 84 cases), trended downward for infrainguinal bypass (62 vs. 52 cases), and were significantly lower for open aortic cases (43 vs. 8 cases) according to a review of resident case logs, Dr. Rothermel said.

He pointed out that a significant portion of vascular surgery in the United States is still performed by general surgeons, citing surveys showing that general surgeons performed 59% of the vascular procedures in the United States in 1985 (J. Vasc. Surg. 1987;6:611-21) and 49% in 1992 (J. Vasc. Surg. 1996:23:172-81).

Session moderator Dr. Jean E. Starr, medical director of endovascular services at Ohio State University Medical Center in Columbus, said the current results parallel what's found nationally. She went on to ask what the findings imply for general surgery residents when they've finished training, and how this will reflect on patient practice in light of general surgeons performing half of vascular surgeries in the United States.

"When you get out of your general surgery training from a community based program and are expected then, going into say a rural center, to perform these operations, you have to give pause," Dr. Rothermel replied.

"I don't think I have a good way to fix the problem at this point, but I think we need to be aware of the trend."

Audience member Dr. Joseph Giglia, principal investigator for the laparoscopic aortic surgery program at the University of Cincinnati Medical Center, countered by asking whether the findings really matter given that open aortic cases are decreasing significantly across the country.

He pointed out that the latest survey data were 20 years old, and submitted that general surgeons no longer perform 50% of vascular surgeries in the United States.

"I think these cases are important for our primary vascular residents to participate in," Dr. Giglia said.

"I think there has to be a sea change, a real shift in the paradigm about who's doing these cases and what we're going to do in the future."

Dr. Rothermel agreed that another survey should be conducted to better reflect current practice trends.

If vascular surgeons are to pick up the bulk of the caseload, however, efforts to recruit medical students to the specialty may need to be enhanced.

A recent survey of 338 medical students showed that 236 first- and second-year students had no clinical exposure to vascular surgery, while only 38 of the 102 third-year students had been exposed to vascular surgery after completing a general surgery rotation (Ann. Vasc. Surg. 2012 July 25 [doi:10.1016/j.avsg.2012.02.012]).

Nearly half (49%) of first- and second-year students said that they would consider vascular surgery, however, with another 19% willing to do so if the length of training were reduced, according to the survey.

Dr. Rothermel and Dr. Starr reported no conflicts of interest.

MILWAUKEE – General surgery residents in a community-based residency program experienced a significant 49% decline in open aortic surgeries over the last decade, an analysis showed.

In 2000-2001, residents were exposed to 20-25 open aortic cases per year, but now get in on 8-15 cases per year, said Dr. Adam Rothermel, a third-year general surgery resident at Mount Carmel Hospital in Columbus, Ohio, where the analysis was conducted.

Patrice Wendling/IMNG Medical Media
Dr. Adam Rothermel discussed how there were significantly fewer open aortic cases seen in general surgery resident training and what it might mean for vascular surgeons.

"Open aortic cases are difficult to find, and our residents, as a whole, would agree that we're not coming out with good enough experience with these cases," he said at the annual meeting of the Midwestern Vascular Surgical Society.

The results reflect the exponential shift from open vascular surgery to endovascular procedures over the last decade, as well as the more recent implementation of the 80-hour resident work week.

The total number of carotid endarterectomy, infrainguinal bypass, and open aortic cases for the entire hospital decreased by 55%, 30%, and 71%, respectively, over the study period of 2000 to 2011.

Total resident cases over the same period were unchanged for carotid endarterectomy (77 vs. 84 cases), trended downward for infrainguinal bypass (62 vs. 52 cases), and were significantly lower for open aortic cases (43 vs. 8 cases) according to a review of resident case logs, Dr. Rothermel said.

He pointed out that a significant portion of vascular surgery in the United States is still performed by general surgeons, citing surveys showing that general surgeons performed 59% of the vascular procedures in the United States in 1985 (J. Vasc. Surg. 1987;6:611-21) and 49% in 1992 (J. Vasc. Surg. 1996:23:172-81).

Session moderator Dr. Jean E. Starr, medical director of endovascular services at Ohio State University Medical Center in Columbus, said the current results parallel what's found nationally. She went on to ask what the findings imply for general surgery residents when they've finished training, and how this will reflect on patient practice in light of general surgeons performing half of vascular surgeries in the United States.

"When you get out of your general surgery training from a community based program and are expected then, going into say a rural center, to perform these operations, you have to give pause," Dr. Rothermel replied.

"I don't think I have a good way to fix the problem at this point, but I think we need to be aware of the trend."

Audience member Dr. Joseph Giglia, principal investigator for the laparoscopic aortic surgery program at the University of Cincinnati Medical Center, countered by asking whether the findings really matter given that open aortic cases are decreasing significantly across the country.

He pointed out that the latest survey data were 20 years old, and submitted that general surgeons no longer perform 50% of vascular surgeries in the United States.

"I think these cases are important for our primary vascular residents to participate in," Dr. Giglia said.

"I think there has to be a sea change, a real shift in the paradigm about who's doing these cases and what we're going to do in the future."

Dr. Rothermel agreed that another survey should be conducted to better reflect current practice trends.

If vascular surgeons are to pick up the bulk of the caseload, however, efforts to recruit medical students to the specialty may need to be enhanced.

A recent survey of 338 medical students showed that 236 first- and second-year students had no clinical exposure to vascular surgery, while only 38 of the 102 third-year students had been exposed to vascular surgery after completing a general surgery rotation (Ann. Vasc. Surg. 2012 July 25 [doi:10.1016/j.avsg.2012.02.012]).

Nearly half (49%) of first- and second-year students said that they would consider vascular surgery, however, with another 19% willing to do so if the length of training were reduced, according to the survey.

Dr. Rothermel and Dr. Starr reported no conflicts of interest.

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Major Finding: General surgery residents in a community-based program experienced a significant 49% decline in open aortic surgeries from 2000 to 2011.

Data Source: Review of all carotid endarterectomy, femoro-popliteal bypass, and open aortic surgeries performed at a community hospital and by residents from 2000 to 2011.

Disclosures: Dr. Rothermel and Dr. Starr reported no conflicts of interest.

Panel Calls for More Safety Data for Hepatitis B Vaccine

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SILVER SPRING, MD. – Despite evidence of effectiveness and enthusiasm about its potential, more safety data in thousands of people are needed before a two-dose hepatitis B vaccine can be approved for use in adults, according to the majority of a Food and Drug Administration advisory panel.

At a meeting on Nov. 15, the FDA’s Vaccines and Related Biological Products Advisory Committee voted 13 to 1 that the immunogenicity data on the Heplisav vaccine were adequate to support its effectiveness in preventing hepatitis B infection in adults aged 18-70 years. The proposed indication for the vaccine, which combines hepatitis B surface antigen (HBsAg) with a novel adjuvant to enhance the immune response, is for the active immunization against all known subtypes of the hepatitis B virus in adults aged 18-70 years.

But the panel voted 8 to 5, with one abstention, that the available data were not adequate to support the safety of the vaccine, citing the need for more data because the adjuvant, a Toll-like receptor 9 agonist, is not included in any available vaccine. Almost 4,000 people received the vaccine in two phase III studies. The manufacturer, Dynavax Technologies, also has proposed a postmarketing safety study that will enroll up to 30,000 recipients of the vaccine in a managed care organization. Panelists voting no on the safety question said that more data from a more ethnically diverse population than those enrolled in the studies would be needed in as many as 10,000 patients before approval.

While a hepatitis B vaccine that is more immunogenic in populations that do not respond as well to the hepatitis B vaccines would be beneficial, "I don’t think the safety data is sufficiently large to support a recommendation for use in the general adult population given that this vaccine contains a new adjuvant," said one of the panelists, Dr. Melinda Wharton, deputy director of the National Center for Immunization and Respiratory Diseases at the Centers for Disease Control and Prevention.

The two Heplisav doses are administered intramuscularly 1 month apart, compared with the 0, 1, and 6 month schedule for the two currently approved hepatitis B vaccines, Engerix-B and Recombivax HB.

The two phase III noninferiority studies of healthy adults aged 18-70 years compared immune response to vaccination with Heplisav (administered at 0 and 1 months, with a saline placebo administered at 6 months) in 3,778 adults, and with Engerix-B (administered at 0, 1, and 6 months) in 1,089 people. The primary immunogenicity end point was the seroprotection rate (SPR) – an anti-HBsAg level of 10 mIU/mL or greater, recognized as conferring protection against hepatitis B virus infection. In both studies, the SPR results for Heplisav met the noninferiority criteria for the studies.

In the two studies, the SPRs were higher among those who received Heplisav: 95% and 90% at 3 months (8 weeks after the last active dose), compared with 81.1% (4 weeks after the last dose) and 70.5% (8 weeks after the last dose), respectively, of those who received Engerix-B.

The most common adverse event associated with the vaccine was injection-site reaction in both groups. Rates of severe adverse events were lower among those who received Heplisav, and rates of autoimmune events and autoantibody conversions were similar in the two groups, according to Dynavax.

However, thyroid-related adverse events, which could be representative of autoimmune events, were reported in a higher proportion of people who received Heplisav. Cases of serious events, although rare, included one of Wegener’s granulomatosis and one of Guillain-Barré syndrome. Autoimmune diseases are relatively rare in the general population, and a large sample size of patients was necessary to accurately evaluate the associated risk, according to the FDA reviewer.

An increased risk of autoimmune reactions is a theoretical risk with adjuvants.

The FDA’s deadline for making a decision on the approval is Feb. 24, 2013, according to Dynavax. If approved, the company plans to market the vaccine as Heplisav. The vaccine also is under review in Europe.

The FDA usually follows the recommendations of its advisory panels, which are not binding. Panelists have been cleared of potential conflicts of interest related to the topic of the meeting, although a panelist may be given a waiver for conflict of interest, but none were granted at this meeting.

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SILVER SPRING, MD. – Despite evidence of effectiveness and enthusiasm about its potential, more safety data in thousands of people are needed before a two-dose hepatitis B vaccine can be approved for use in adults, according to the majority of a Food and Drug Administration advisory panel.

At a meeting on Nov. 15, the FDA’s Vaccines and Related Biological Products Advisory Committee voted 13 to 1 that the immunogenicity data on the Heplisav vaccine were adequate to support its effectiveness in preventing hepatitis B infection in adults aged 18-70 years. The proposed indication for the vaccine, which combines hepatitis B surface antigen (HBsAg) with a novel adjuvant to enhance the immune response, is for the active immunization against all known subtypes of the hepatitis B virus in adults aged 18-70 years.

But the panel voted 8 to 5, with one abstention, that the available data were not adequate to support the safety of the vaccine, citing the need for more data because the adjuvant, a Toll-like receptor 9 agonist, is not included in any available vaccine. Almost 4,000 people received the vaccine in two phase III studies. The manufacturer, Dynavax Technologies, also has proposed a postmarketing safety study that will enroll up to 30,000 recipients of the vaccine in a managed care organization. Panelists voting no on the safety question said that more data from a more ethnically diverse population than those enrolled in the studies would be needed in as many as 10,000 patients before approval.

While a hepatitis B vaccine that is more immunogenic in populations that do not respond as well to the hepatitis B vaccines would be beneficial, "I don’t think the safety data is sufficiently large to support a recommendation for use in the general adult population given that this vaccine contains a new adjuvant," said one of the panelists, Dr. Melinda Wharton, deputy director of the National Center for Immunization and Respiratory Diseases at the Centers for Disease Control and Prevention.

The two Heplisav doses are administered intramuscularly 1 month apart, compared with the 0, 1, and 6 month schedule for the two currently approved hepatitis B vaccines, Engerix-B and Recombivax HB.

The two phase III noninferiority studies of healthy adults aged 18-70 years compared immune response to vaccination with Heplisav (administered at 0 and 1 months, with a saline placebo administered at 6 months) in 3,778 adults, and with Engerix-B (administered at 0, 1, and 6 months) in 1,089 people. The primary immunogenicity end point was the seroprotection rate (SPR) – an anti-HBsAg level of 10 mIU/mL or greater, recognized as conferring protection against hepatitis B virus infection. In both studies, the SPR results for Heplisav met the noninferiority criteria for the studies.

In the two studies, the SPRs were higher among those who received Heplisav: 95% and 90% at 3 months (8 weeks after the last active dose), compared with 81.1% (4 weeks after the last dose) and 70.5% (8 weeks after the last dose), respectively, of those who received Engerix-B.

The most common adverse event associated with the vaccine was injection-site reaction in both groups. Rates of severe adverse events were lower among those who received Heplisav, and rates of autoimmune events and autoantibody conversions were similar in the two groups, according to Dynavax.

However, thyroid-related adverse events, which could be representative of autoimmune events, were reported in a higher proportion of people who received Heplisav. Cases of serious events, although rare, included one of Wegener’s granulomatosis and one of Guillain-Barré syndrome. Autoimmune diseases are relatively rare in the general population, and a large sample size of patients was necessary to accurately evaluate the associated risk, according to the FDA reviewer.

An increased risk of autoimmune reactions is a theoretical risk with adjuvants.

The FDA’s deadline for making a decision on the approval is Feb. 24, 2013, according to Dynavax. If approved, the company plans to market the vaccine as Heplisav. The vaccine also is under review in Europe.

The FDA usually follows the recommendations of its advisory panels, which are not binding. Panelists have been cleared of potential conflicts of interest related to the topic of the meeting, although a panelist may be given a waiver for conflict of interest, but none were granted at this meeting.

SILVER SPRING, MD. – Despite evidence of effectiveness and enthusiasm about its potential, more safety data in thousands of people are needed before a two-dose hepatitis B vaccine can be approved for use in adults, according to the majority of a Food and Drug Administration advisory panel.

At a meeting on Nov. 15, the FDA’s Vaccines and Related Biological Products Advisory Committee voted 13 to 1 that the immunogenicity data on the Heplisav vaccine were adequate to support its effectiveness in preventing hepatitis B infection in adults aged 18-70 years. The proposed indication for the vaccine, which combines hepatitis B surface antigen (HBsAg) with a novel adjuvant to enhance the immune response, is for the active immunization against all known subtypes of the hepatitis B virus in adults aged 18-70 years.

But the panel voted 8 to 5, with one abstention, that the available data were not adequate to support the safety of the vaccine, citing the need for more data because the adjuvant, a Toll-like receptor 9 agonist, is not included in any available vaccine. Almost 4,000 people received the vaccine in two phase III studies. The manufacturer, Dynavax Technologies, also has proposed a postmarketing safety study that will enroll up to 30,000 recipients of the vaccine in a managed care organization. Panelists voting no on the safety question said that more data from a more ethnically diverse population than those enrolled in the studies would be needed in as many as 10,000 patients before approval.

While a hepatitis B vaccine that is more immunogenic in populations that do not respond as well to the hepatitis B vaccines would be beneficial, "I don’t think the safety data is sufficiently large to support a recommendation for use in the general adult population given that this vaccine contains a new adjuvant," said one of the panelists, Dr. Melinda Wharton, deputy director of the National Center for Immunization and Respiratory Diseases at the Centers for Disease Control and Prevention.

The two Heplisav doses are administered intramuscularly 1 month apart, compared with the 0, 1, and 6 month schedule for the two currently approved hepatitis B vaccines, Engerix-B and Recombivax HB.

The two phase III noninferiority studies of healthy adults aged 18-70 years compared immune response to vaccination with Heplisav (administered at 0 and 1 months, with a saline placebo administered at 6 months) in 3,778 adults, and with Engerix-B (administered at 0, 1, and 6 months) in 1,089 people. The primary immunogenicity end point was the seroprotection rate (SPR) – an anti-HBsAg level of 10 mIU/mL or greater, recognized as conferring protection against hepatitis B virus infection. In both studies, the SPR results for Heplisav met the noninferiority criteria for the studies.

In the two studies, the SPRs were higher among those who received Heplisav: 95% and 90% at 3 months (8 weeks after the last active dose), compared with 81.1% (4 weeks after the last dose) and 70.5% (8 weeks after the last dose), respectively, of those who received Engerix-B.

The most common adverse event associated with the vaccine was injection-site reaction in both groups. Rates of severe adverse events were lower among those who received Heplisav, and rates of autoimmune events and autoantibody conversions were similar in the two groups, according to Dynavax.

However, thyroid-related adverse events, which could be representative of autoimmune events, were reported in a higher proportion of people who received Heplisav. Cases of serious events, although rare, included one of Wegener’s granulomatosis and one of Guillain-Barré syndrome. Autoimmune diseases are relatively rare in the general population, and a large sample size of patients was necessary to accurately evaluate the associated risk, according to the FDA reviewer.

An increased risk of autoimmune reactions is a theoretical risk with adjuvants.

The FDA’s deadline for making a decision on the approval is Feb. 24, 2013, according to Dynavax. If approved, the company plans to market the vaccine as Heplisav. The vaccine also is under review in Europe.

The FDA usually follows the recommendations of its advisory panels, which are not binding. Panelists have been cleared of potential conflicts of interest related to the topic of the meeting, although a panelist may be given a waiver for conflict of interest, but none were granted at this meeting.

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AT A MEETING OF THE FDA'S VACCINES AND RELATED BIOLOGICAL PRODUCTS ADVISORY COMMITTEE

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Does an Active Childhood Build Strong Knees?

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Does an Active Childhood Build Strong Knees?

WASHINGTON – Active children may have stronger knees as adults, based on data from a long-term follow-up study of approximately 300 children. The findings were presented at the annual meeting of the American College of Rheumatology.

Although physical activity is recommended for children to improve joint health and function, the correlation between childhood exercise and adult bone structure has not been well studied, said Dr. Graeme Jones, who is professor of rheumatology and epidemiology and head of the musculoskeletal unit at the Menzies Research Institute as well as head of the department of rheumatology at Royal Hobart Hospital, both in Hobart, Australia.

© Jody Dingle/Fotolia.com
Keeping kids active is important; it may help them grow up with stronger knees.

Data from previous studies have shown that children who engaged in vigorous activity in childhood had greater cartilage deposition in their knees compared with less active children, said Dr. Jones.

"The idea would be that if you develop more cartilage in childhood and it lasts until adult life, you can prevent the development of osteoarthritis," he said.

In 1985, data were collected on 8,500 Australian children in the population-based Childhood Determinants of Adult Health study. In that study, researchers measured the children’s fitness based on measures of hand strength, leg strength, run times, sit-ups, and physical work capacity at 170 beats per minute (PWC170).

To measure the long-term impact of exercise on knee structure, Dr. Jones and his colleagues reviewed data from 298 study participants at ages 31-41 years. Approximately half of the participants were female.

The researchers assessed tibial bone area (the size of the knee joint) and the amount of cartilage using T1-weighted fat-suppressed magnetic resonance imaging.

All measures of childhood physical activity levels were significantly associated with increased tibial bone area. These associations included 0.48 cm2 per 100 mW (a measure of work) for PWC170, 1.49 cm2 per 100 g of hand muscle strength, 0.29 cm2 per 100 g of leg muscle strength, and 0.28 cm2 per 10 sit-ups.

In addition, childhood PWC170 was significantly associated with an increased medial tibial cartilage volume in adulthood (0.1 mm3 per 100 mW). This association was approximately 33% weaker, though still significant, after adjusting for tibial bone area, Dr. Jones said. Hand muscle strength and sit-ups were significantly associated with increased medial tibial cartilage volume before adjusting for bone area, but the association became nonsignificant after adjusting for bone area.

"What this suggests to us is that the response to physical activity in childhood is to increase the size of the bone to adjust for this and to spread the load out, and the cartilage will then expand to cover the bone area or the area of contact," said Dr. Jones.

These associations were independent of fitness performance measures and medial tibial cartilage volume in adulthood, he added.

The findings suggest that childhood exposure to physical activity has a long-term protective effect on knee joint health. Therefore, "we need to get children as active as we can," he said.

The study was funded by the National Health and Medical Research Council of Australia. Dr. Jones had no financial conflicts to disclose.

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WASHINGTON – Active children may have stronger knees as adults, based on data from a long-term follow-up study of approximately 300 children. The findings were presented at the annual meeting of the American College of Rheumatology.

Although physical activity is recommended for children to improve joint health and function, the correlation between childhood exercise and adult bone structure has not been well studied, said Dr. Graeme Jones, who is professor of rheumatology and epidemiology and head of the musculoskeletal unit at the Menzies Research Institute as well as head of the department of rheumatology at Royal Hobart Hospital, both in Hobart, Australia.

© Jody Dingle/Fotolia.com
Keeping kids active is important; it may help them grow up with stronger knees.

Data from previous studies have shown that children who engaged in vigorous activity in childhood had greater cartilage deposition in their knees compared with less active children, said Dr. Jones.

"The idea would be that if you develop more cartilage in childhood and it lasts until adult life, you can prevent the development of osteoarthritis," he said.

In 1985, data were collected on 8,500 Australian children in the population-based Childhood Determinants of Adult Health study. In that study, researchers measured the children’s fitness based on measures of hand strength, leg strength, run times, sit-ups, and physical work capacity at 170 beats per minute (PWC170).

To measure the long-term impact of exercise on knee structure, Dr. Jones and his colleagues reviewed data from 298 study participants at ages 31-41 years. Approximately half of the participants were female.

The researchers assessed tibial bone area (the size of the knee joint) and the amount of cartilage using T1-weighted fat-suppressed magnetic resonance imaging.

All measures of childhood physical activity levels were significantly associated with increased tibial bone area. These associations included 0.48 cm2 per 100 mW (a measure of work) for PWC170, 1.49 cm2 per 100 g of hand muscle strength, 0.29 cm2 per 100 g of leg muscle strength, and 0.28 cm2 per 10 sit-ups.

In addition, childhood PWC170 was significantly associated with an increased medial tibial cartilage volume in adulthood (0.1 mm3 per 100 mW). This association was approximately 33% weaker, though still significant, after adjusting for tibial bone area, Dr. Jones said. Hand muscle strength and sit-ups were significantly associated with increased medial tibial cartilage volume before adjusting for bone area, but the association became nonsignificant after adjusting for bone area.

"What this suggests to us is that the response to physical activity in childhood is to increase the size of the bone to adjust for this and to spread the load out, and the cartilage will then expand to cover the bone area or the area of contact," said Dr. Jones.

These associations were independent of fitness performance measures and medial tibial cartilage volume in adulthood, he added.

The findings suggest that childhood exposure to physical activity has a long-term protective effect on knee joint health. Therefore, "we need to get children as active as we can," he said.

The study was funded by the National Health and Medical Research Council of Australia. Dr. Jones had no financial conflicts to disclose.

WASHINGTON – Active children may have stronger knees as adults, based on data from a long-term follow-up study of approximately 300 children. The findings were presented at the annual meeting of the American College of Rheumatology.

Although physical activity is recommended for children to improve joint health and function, the correlation between childhood exercise and adult bone structure has not been well studied, said Dr. Graeme Jones, who is professor of rheumatology and epidemiology and head of the musculoskeletal unit at the Menzies Research Institute as well as head of the department of rheumatology at Royal Hobart Hospital, both in Hobart, Australia.

© Jody Dingle/Fotolia.com
Keeping kids active is important; it may help them grow up with stronger knees.

Data from previous studies have shown that children who engaged in vigorous activity in childhood had greater cartilage deposition in their knees compared with less active children, said Dr. Jones.

"The idea would be that if you develop more cartilage in childhood and it lasts until adult life, you can prevent the development of osteoarthritis," he said.

In 1985, data were collected on 8,500 Australian children in the population-based Childhood Determinants of Adult Health study. In that study, researchers measured the children’s fitness based on measures of hand strength, leg strength, run times, sit-ups, and physical work capacity at 170 beats per minute (PWC170).

To measure the long-term impact of exercise on knee structure, Dr. Jones and his colleagues reviewed data from 298 study participants at ages 31-41 years. Approximately half of the participants were female.

The researchers assessed tibial bone area (the size of the knee joint) and the amount of cartilage using T1-weighted fat-suppressed magnetic resonance imaging.

All measures of childhood physical activity levels were significantly associated with increased tibial bone area. These associations included 0.48 cm2 per 100 mW (a measure of work) for PWC170, 1.49 cm2 per 100 g of hand muscle strength, 0.29 cm2 per 100 g of leg muscle strength, and 0.28 cm2 per 10 sit-ups.

In addition, childhood PWC170 was significantly associated with an increased medial tibial cartilage volume in adulthood (0.1 mm3 per 100 mW). This association was approximately 33% weaker, though still significant, after adjusting for tibial bone area, Dr. Jones said. Hand muscle strength and sit-ups were significantly associated with increased medial tibial cartilage volume before adjusting for bone area, but the association became nonsignificant after adjusting for bone area.

"What this suggests to us is that the response to physical activity in childhood is to increase the size of the bone to adjust for this and to spread the load out, and the cartilage will then expand to cover the bone area or the area of contact," said Dr. Jones.

These associations were independent of fitness performance measures and medial tibial cartilage volume in adulthood, he added.

The findings suggest that childhood exposure to physical activity has a long-term protective effect on knee joint health. Therefore, "we need to get children as active as we can," he said.

The study was funded by the National Health and Medical Research Council of Australia. Dr. Jones had no financial conflicts to disclose.

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AT THE ANNUAL MEETING OF THE AMERICAN COLLEGE OF RHEUMATOLOGY

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Major Finding: Childhood physical activity was significantly associated with increased tibial bone area in early adulthood, including an improvement of 0.29 cm2 per 100 g as a measure of leg muscle strength.

Data Source: The data come from 298 participants in the Childhood Determinants of Adult Health study.

Disclosures: The study was funded by the National Health and Medical Research Council of Australia. Dr. Jones had no financial conflicts to disclose.

Findings could revolutionize malaria drug testing

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Plasmodium parasite infecting
a red blood cell; Credit: St Jude
Children’s Research Hospital

Scientists have reported that injecting cryopreserved malaria sporozoites in human subjects can result in controlled infection.

This indicates that direct injection of sporozoites can be used in lieu of mosquito bites to test the efficacy of malaria drugs or vaccines in human volunteers.

The findings from this study were reported at the annual meeting of the American Society of Tropical Medicine and Hygiene and published online in the American Journal of Tropical Medicine and Hygiene.

“Our study shows it’s possible to manufacture and then administer controlled doses of malaria parasites using a needle and syringe to deliver a formulation that can meet regulatory standards for purity and dose consistency,” said study author Meta Roestenberg, MD, of the Radboud University Nijmegen Medical Center in The Netherlands.

She and her colleagues noted that the current method of testing malaria drugs and vaccines by exposing subjects to mosquito bites is technically complex and costly. And there are only a few places in the world today where such work is being done.

In addition, when using mosquitoes to deliver malaria parasites, it can be difficult to ensure that all subjects receive the same level of infection. And that can influence the outcome of the treatment.

So Dr Roestenberg and her colleagues set out to find a better way. They tested cryopreserved Plasmodium falciparum sporozoites that were harvested from the salivary glands of infected mosquitoes and had been frozen for more than 2 years. The sporozoites were manufactured by the Maryland-based biotechnology company Sanaria Inc.

The researchers enrolled 18 healthy volunteers and divided them into 3 groups. The first group received 2500 sporozoites, the second received 10,000 sporozoites, and the third received 25,000 sporozoites.

The team found that 84% of participants—5 of the 6 volunteers in each group—were safely and successfully infected with malaria. And there were no differences among the groups in the time it took for the infection to develop or the presentation of symptoms. The volunteers who developed infections subsequently received treatment and quickly recovered without incident.

“We have demonstrated the potential to develop what you might call ‘the human challenge trial in a bottle’ that could be available to scientists anywhere who need to know how a new drug or vaccine would fare against a real but carefully controlled and calibrated malaria infection,” said study author Stephen L. Hoffman, MD, of Sanaria Inc.

The researchers also said these results could aid the development of whole parasite vaccines.

“A major challenge to realizing the potential of whole parasite vaccines is the development of a stable, consistent formulation of sporozoites that can be manufactured, preserved, and used like any other vaccine,” said study author Robert W. Sauerwein, MD, PhD, also of Radboud University Nijmegen Medical Center.

Sanaria  is currently pursuing clinical trials to test 2 different approaches to whole parasite vaccination: irradiated sporozoites and inducing controlled infections in tandem with the administration of antimalarial drugs.

Researchers are also planning additional trials to ensure the infection produced with the cryopreserved sporozoites mirrors what one would experience through bites from infected mosquitoes.

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Plasmodium parasite infecting
a red blood cell; Credit: St Jude
Children’s Research Hospital

Scientists have reported that injecting cryopreserved malaria sporozoites in human subjects can result in controlled infection.

This indicates that direct injection of sporozoites can be used in lieu of mosquito bites to test the efficacy of malaria drugs or vaccines in human volunteers.

The findings from this study were reported at the annual meeting of the American Society of Tropical Medicine and Hygiene and published online in the American Journal of Tropical Medicine and Hygiene.

“Our study shows it’s possible to manufacture and then administer controlled doses of malaria parasites using a needle and syringe to deliver a formulation that can meet regulatory standards for purity and dose consistency,” said study author Meta Roestenberg, MD, of the Radboud University Nijmegen Medical Center in The Netherlands.

She and her colleagues noted that the current method of testing malaria drugs and vaccines by exposing subjects to mosquito bites is technically complex and costly. And there are only a few places in the world today where such work is being done.

In addition, when using mosquitoes to deliver malaria parasites, it can be difficult to ensure that all subjects receive the same level of infection. And that can influence the outcome of the treatment.

So Dr Roestenberg and her colleagues set out to find a better way. They tested cryopreserved Plasmodium falciparum sporozoites that were harvested from the salivary glands of infected mosquitoes and had been frozen for more than 2 years. The sporozoites were manufactured by the Maryland-based biotechnology company Sanaria Inc.

The researchers enrolled 18 healthy volunteers and divided them into 3 groups. The first group received 2500 sporozoites, the second received 10,000 sporozoites, and the third received 25,000 sporozoites.

The team found that 84% of participants—5 of the 6 volunteers in each group—were safely and successfully infected with malaria. And there were no differences among the groups in the time it took for the infection to develop or the presentation of symptoms. The volunteers who developed infections subsequently received treatment and quickly recovered without incident.

“We have demonstrated the potential to develop what you might call ‘the human challenge trial in a bottle’ that could be available to scientists anywhere who need to know how a new drug or vaccine would fare against a real but carefully controlled and calibrated malaria infection,” said study author Stephen L. Hoffman, MD, of Sanaria Inc.

The researchers also said these results could aid the development of whole parasite vaccines.

“A major challenge to realizing the potential of whole parasite vaccines is the development of a stable, consistent formulation of sporozoites that can be manufactured, preserved, and used like any other vaccine,” said study author Robert W. Sauerwein, MD, PhD, also of Radboud University Nijmegen Medical Center.

Sanaria  is currently pursuing clinical trials to test 2 different approaches to whole parasite vaccination: irradiated sporozoites and inducing controlled infections in tandem with the administration of antimalarial drugs.

Researchers are also planning additional trials to ensure the infection produced with the cryopreserved sporozoites mirrors what one would experience through bites from infected mosquitoes.

Plasmodium parasite infecting
a red blood cell; Credit: St Jude
Children’s Research Hospital

Scientists have reported that injecting cryopreserved malaria sporozoites in human subjects can result in controlled infection.

This indicates that direct injection of sporozoites can be used in lieu of mosquito bites to test the efficacy of malaria drugs or vaccines in human volunteers.

The findings from this study were reported at the annual meeting of the American Society of Tropical Medicine and Hygiene and published online in the American Journal of Tropical Medicine and Hygiene.

“Our study shows it’s possible to manufacture and then administer controlled doses of malaria parasites using a needle and syringe to deliver a formulation that can meet regulatory standards for purity and dose consistency,” said study author Meta Roestenberg, MD, of the Radboud University Nijmegen Medical Center in The Netherlands.

She and her colleagues noted that the current method of testing malaria drugs and vaccines by exposing subjects to mosquito bites is technically complex and costly. And there are only a few places in the world today where such work is being done.

In addition, when using mosquitoes to deliver malaria parasites, it can be difficult to ensure that all subjects receive the same level of infection. And that can influence the outcome of the treatment.

So Dr Roestenberg and her colleagues set out to find a better way. They tested cryopreserved Plasmodium falciparum sporozoites that were harvested from the salivary glands of infected mosquitoes and had been frozen for more than 2 years. The sporozoites were manufactured by the Maryland-based biotechnology company Sanaria Inc.

The researchers enrolled 18 healthy volunteers and divided them into 3 groups. The first group received 2500 sporozoites, the second received 10,000 sporozoites, and the third received 25,000 sporozoites.

The team found that 84% of participants—5 of the 6 volunteers in each group—were safely and successfully infected with malaria. And there were no differences among the groups in the time it took for the infection to develop or the presentation of symptoms. The volunteers who developed infections subsequently received treatment and quickly recovered without incident.

“We have demonstrated the potential to develop what you might call ‘the human challenge trial in a bottle’ that could be available to scientists anywhere who need to know how a new drug or vaccine would fare against a real but carefully controlled and calibrated malaria infection,” said study author Stephen L. Hoffman, MD, of Sanaria Inc.

The researchers also said these results could aid the development of whole parasite vaccines.

“A major challenge to realizing the potential of whole parasite vaccines is the development of a stable, consistent formulation of sporozoites that can be manufactured, preserved, and used like any other vaccine,” said study author Robert W. Sauerwein, MD, PhD, also of Radboud University Nijmegen Medical Center.

Sanaria  is currently pursuing clinical trials to test 2 different approaches to whole parasite vaccination: irradiated sporozoites and inducing controlled infections in tandem with the administration of antimalarial drugs.

Researchers are also planning additional trials to ensure the infection produced with the cryopreserved sporozoites mirrors what one would experience through bites from infected mosquitoes.

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Accountable-Care Organizations on the Horizon for Hospitalists

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Every HM group should look into transitioning from a fee-for-service model to an accountable-care organization (ACO), a leading hospitalist told conference attendees recently at the Third National Accountable Care Organization Congress.

"You need to be tackling it now, but that doesn't mean you need to be aggressively doing it now," Edward Murphy, MD, chairman of Sound Physicians, told eWire days before he spoke at the ACO Congress on Oct. 31 in Los Angeles. "By tackling it, you need to be doing a hard-nosed assessment of what's best for your group and your patients."

Question: Why is the ACO model so difficult in some instances?

Answer: The problem with the healthcare system today is we’ve spent 100 years building up a system that is designed around, and competent at, delivering services for fees. We're really not set up to manage care.

Q: What is the No. 1 thing you want hospitalists to know about ACOs today?

A: Figure out every single day how to improve the care of your patients at a lower cost. And then, how you can demonstrate it in a quantitative and clear way. ACO-style payments are really only a value proposition centered on providing superior outcomes for patients at higher satisfaction for lower cost. That’s a fundamental value that will always be noteworthy.

Q: Is a hospitalist's job to lead the charge toward ACOs, or support those who do?

A: That's the sort of thing that people on the ground don't have to be told. They just know. If I were the leader of a hospitalist group someplace and really thought the smart thing to do was to think about how to move to an accountable-care model … I would know from my discussions with my colleagues, my discussions with hospital executives where everybody was.

 

Visit our website for more information about ACOs.

 

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Every HM group should look into transitioning from a fee-for-service model to an accountable-care organization (ACO), a leading hospitalist told conference attendees recently at the Third National Accountable Care Organization Congress.

"You need to be tackling it now, but that doesn't mean you need to be aggressively doing it now," Edward Murphy, MD, chairman of Sound Physicians, told eWire days before he spoke at the ACO Congress on Oct. 31 in Los Angeles. "By tackling it, you need to be doing a hard-nosed assessment of what's best for your group and your patients."

Question: Why is the ACO model so difficult in some instances?

Answer: The problem with the healthcare system today is we’ve spent 100 years building up a system that is designed around, and competent at, delivering services for fees. We're really not set up to manage care.

Q: What is the No. 1 thing you want hospitalists to know about ACOs today?

A: Figure out every single day how to improve the care of your patients at a lower cost. And then, how you can demonstrate it in a quantitative and clear way. ACO-style payments are really only a value proposition centered on providing superior outcomes for patients at higher satisfaction for lower cost. That’s a fundamental value that will always be noteworthy.

Q: Is a hospitalist's job to lead the charge toward ACOs, or support those who do?

A: That's the sort of thing that people on the ground don't have to be told. They just know. If I were the leader of a hospitalist group someplace and really thought the smart thing to do was to think about how to move to an accountable-care model … I would know from my discussions with my colleagues, my discussions with hospital executives where everybody was.

 

Visit our website for more information about ACOs.

 

Every HM group should look into transitioning from a fee-for-service model to an accountable-care organization (ACO), a leading hospitalist told conference attendees recently at the Third National Accountable Care Organization Congress.

"You need to be tackling it now, but that doesn't mean you need to be aggressively doing it now," Edward Murphy, MD, chairman of Sound Physicians, told eWire days before he spoke at the ACO Congress on Oct. 31 in Los Angeles. "By tackling it, you need to be doing a hard-nosed assessment of what's best for your group and your patients."

Question: Why is the ACO model so difficult in some instances?

Answer: The problem with the healthcare system today is we’ve spent 100 years building up a system that is designed around, and competent at, delivering services for fees. We're really not set up to manage care.

Q: What is the No. 1 thing you want hospitalists to know about ACOs today?

A: Figure out every single day how to improve the care of your patients at a lower cost. And then, how you can demonstrate it in a quantitative and clear way. ACO-style payments are really only a value proposition centered on providing superior outcomes for patients at higher satisfaction for lower cost. That’s a fundamental value that will always be noteworthy.

Q: Is a hospitalist's job to lead the charge toward ACOs, or support those who do?

A: That's the sort of thing that people on the ground don't have to be told. They just know. If I were the leader of a hospitalist group someplace and really thought the smart thing to do was to think about how to move to an accountable-care model … I would know from my discussions with my colleagues, my discussions with hospital executives where everybody was.

 

Visit our website for more information about ACOs.

 

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The Hospitalist - 2012(11)
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Accountable-Care Organizations on the Horizon for Hospitalists
Display Headline
Accountable-Care Organizations on the Horizon for Hospitalists
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