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Erroneously Reporting Penicillin Allergy
Patient safety is a healthcare provider's top priority. Drug allergies are instated into an electronic medical record (EMR) to avoid potential adverse events in the future. Despite the intention to provide safety, healthcare providers frequently document antimicrobial allergies incorrectly.[1] In turn, this may lead to decreased antibiotic choices, increased healthcare costs, potential adverse reactions, and unnecessary avoidance of optimal, first‐line agents.
Several strategies have been developed to help improve the accuracy of allergy documentation, including pharmacy‐based interventions, but the persistence of corrections, once performed, is unknown.[2] Although most antibiotic allergy errors are identified upon review of prior medication history (eg, penicillin allergy listed in a patient who previously received piperacillintazobactam), no prior studies have evaluated penicillin allergy errors directly after a proven tolerance with a penicillin skin testing (PST) and penicillin confirmatory challenge.[3, 4, 5] We hereby assess factors for erroneous allergy documentation in a cohort of patients with a negative PST.
METHODS
We retrospectively reviewed charts under a protocol approved by the university and medical center institutional review board. Following a PST intervention we have previously described, penicillin was removed from the patients' EMR (Epic, Verona, WI) allergy list from March 2012 through July 2012.[6] We then invested a brief procedure note into the allergy section describing the negative PST and subsequent tolerance of a penicillin agent. During the PST intervention, there was no attempt to convey the result of the PST and corrected allergy information to the outpatient clinicians.
As a follow‐up to our previous study, we reviewed the charts of the 150 subjects who represented the entire population of patients who underwent PST in the March 2012 through July 2012 intervention time period. From August 2012 through July 2013, charts were reviewed to gauge reappearances at Vidant Health, a system of 10 hospitals in eastern North Carolina. Collected data also included demographics, drug allergy or intolerance, penicillin allergy redocumentation, residence, antimicrobial use, and presence of dementia or altered mentation.
Outpatient physician and long‐term care facility (LTCF) allergy records were obtained via EMR records, patient or family inquiry, and referring documents that accompanied the patient upon arrival. In addition to reviewing the LTCF and/or outpatient physician referring documents, the outpatient physician(s) and LTCFs were contacted and asked to review other electronic or paper records that may not have been delivered with the referring documents. Inpatient and outpatient records were reviewed for penicillin allergy, as defined by the drug allergy practice parameters.[7] Fischer exact tests were used to identify significant associated factors.
RESULTS
Of the 150 patients with proven penicillin tolerance, 55 (37%) revisited a Vidant Health hospital within a year period, of which 22 (40%) received a ‐lactam agent once again without adverse effects (Table 1). Twenty (36%) of the 55 patients had penicillin allergy redocumented (Figure 1). There was no description of any allergy after the PST in any of the 20 EMR, LTCF records, or outpatient primary care physician records. Factors associated with penicillin allergy redocumentation (vs those not redocumented) included age >65 years (P = 0.011), residence in a LTCF (P = 0.0001), acutely altered mentation (P < 0.0001), and dementia (P < 0.0001). Penicillin allergy was still reported in all 21 (100%) of the LTCF patient records.

Category | Variables | Penicillin Allergy Not Reinstated, n = 35 | Penicillin Allergy Reinstated, n = 20 | P Value |
---|---|---|---|---|
| ||||
Age, y | 1830 | 5 (14%) | 0 (0%) | 0.011 |
3164 | 17 (49%) | 5 (37%) | ||
>65 | 13 (37%) | 15 (75%) | ||
Gender | Male | 12 (34%) | 10 (50%) | 0.19 |
Female | 23 (66%) | 10 (50%) | ||
Race | White | 20 (57%) | 11 (55%) | 0.36 |
Black | 14 (40%) | 8 (40%) | ||
Hispanic | 1 (3%) | 1 (5%) | ||
Residence | Home | 28 (80%) | 5 (25%) | 0.0001 |
LTCF | 7 (20%) | 15 (75%) | ||
Acutely altered mentation | Yes | 8 (23%) | 16 (80%) | <0.0001 |
No | 27 (77%) | 4 (20%) | ||
Dementia | Yes | 1 (3%) | 10 (50%) | <0.0001 |
No | 34 (97%) | 10 (50%) | ||
Primary service | Residenta | 18 (51%) | 5 (25%) | 0.18 |
Hospitalist | 8 (23%) | 10 (50%) | ||
Surgery | 3 (9%) | 3 (15%) | ||
Emergency medicine | 6 (17%) | 2 (10%) | ||
Primary language | English | 34 (97%) | 19 (95%) | 0.59 |
Spanish | 1 (3%) | 1 (5%) | ||
Hospital diagnosis | Infectious | 19 (54%) | 14 (70%) | 0.20 |
Noninfectious | 16 (46%) | 6 (30%) | ||
Antibiotic received | ‐lactamb | 22 (63%) | 0 (0%) | 0.07 |
Non‐lactamc | 4 (11%) | 12 (60%) | ||
None | 9 (26%) | 8 (40%) |
CONCLUSION
Errors in medication documentation are a major cause of potential harm and death.[8] In the United States, up to 14% of patient harm is due to a preventable medication error, a rate that exceeds death related to breast cancer, vehicular accidents, and AIDS.[9, 10] Inaccurate drug allergy reporting can result in a cascade of consequential medical errors, including medication prescribing (eg, use of less effective, potentially more toxic and/or more expensive agents), and diagnostic errors (eg, repeat PST, unnecessary medication desensitization).
Although EMR systems are designed to improve allergy documentation, they may also increase the risk of inaccurate or out‐of‐date data. Providers may be reluctant to permanently alter the electronic record by removing an allergy from the EMR. Chart lore, the persistence of inaccurate or outdated information, may contribute to error, particularly when the patient is unable to provide information directly. We found, for example, that dementia and acutely altered mentation were associated with allergy reporting errors, likely related to the inability of the patient to give a reliable history. Finally, the EMR does not typically include a function for noting that an allergy does not exist, making it easier to reinstate incorrect allergies. To address this problem, we subsequently began listing a negative PST as an other allergy in the EMR allergy section to improve visibility.
We also found that residence in an LTCF was associated with allergy reporting error, in part perhaps because all LTCF records still included penicillin as an allergy. This finding highlights the need for direct communication of a proven PST tolerance with the primary care physician or LTCF provider, which was not part of our initial intervention. Previous studies have described the benefit of removing incorrectly reported allergies from community pharmacy records as well.[2, 11] Simply recording it into a transfer summary may not suffice, as LTCF providers may not read, or misread, the PST result. Healthcare providers performing PST should attempt to maintain consistent inpatient and outpatient drug allergy reports to avoid drug allergies.
Another possible modality to reduce inaccurate drug allergy documentation is repetitive review of the allergy list. In the Epic EMR system, the allergy list will illustrate when the healthcare provider(s) reviewed the patients' allergies last. At Vidant Health, the allergy list is generally only reviewed during nursing triage in the emergency department. Healthcare providers should avoid chart lore or relying on nursing notes and routinely review allergies directly with the patient. Obtaining allergy information only during routine nursing triage assessment is substandard.[12] This should not substitute acquisition of allergy information from the patient using a structured, direct interview. Supervision and repeated EMR review may help to avoid overlooking an inaccurate history acquisition.[13] This may help not only help to remove drug allergies that were erroneously added to the patient's list, but also to possibly add agents that may have been missed by the triaging team.
Another means by which inaccurate redocumentation of drug allergies can be avoided is avoidance of placing nonallergic drug reactions in the allergy section of the EMR. Antimicrobial agents are often added to the allergy list because of a drug intolerance (eg, gastrointestinal symptoms), and/or pharmacologic effect (eg, electrolyte abnormality). Although these are not true reactions, healthcare providers often avoid rechallenging these agents. These adverse reactions should be placed within the problem list or past medical history section of the EMR, and not within the allergy section. Therefore, healthcare providers should accurately describe the behavior of the allergic reaction(s).[14]
A limitation of our study is our small sample size and single‐site design. This may have limited the ability to analyze the data in a multivariable way and the ability to learn about risk factors across a variety of EMR and workflow settings. Furthermore, we reviewed only the 55 patients who were readmitted, and therefore do not know how accurate records were for the other 95 patients.
In summary, this work highlights the challenges of successful implementation of quality improvement projects in an electronic health record‐based world. Although PST can expand antimicrobial choices and reduce healthcare costs, the benefits may be limited by inadequately removing the allergy from the hospital and outpatient record(s). From the novel data gathered from our study, primary care physicians and LTCFs are now promptly notified of a negative PST to reduce these medical errors, and we believe this process should become a standard of care.
Acknowledgments
The authors thank Dr. Muhammad S. Ashraf for his assistance in preparing this manuscript.
Disclosures: Ramzy H. Rimawi, MD, has a potential conflict of interest with Alk‐Abello (speakers' bureau), the manufacturer of the Pre‐PEN penicillin skin test. Alk‐Abello was not involved in the production of this article. Paul P. Cook, MD has potential conflicts of interest with Gilead (investigator), Pfizer (investigator), Merck (investigator and speakers' bureau) and Forest (speakers' bureau), none of which relate to the use of penicillin or penicillin skin tests. None of the authors have received any source(s) of funding for this article. The corresponding author, Ramzy Rimawi, MD, had full access to all of the data in the study and had final responsibility for the decision to submit for publication. The manuscript is not under review by any other publication.
- Accuracy of drug allergy documentation. Am J Health Syst Pharm. 1997;54(14):1627–1629. , .
- Program to remove incorrect allergy documentation in pediatrics medical records. Am J Health Syst Pharm. 2001;58(18):1722–1727. , , , et al.
- Electronic medication ordering with integrated drug database and clinical decision support system. Stud Health Technol Inform. 2012;180:693–697. , , .
- Pharmacy‐controlled documentation of drug allergies. Am J Health‐Syst Pharm. 1991;48:260–264. , , , .
- Systems analysis of adverse drug events. JAMA. 1995;274:35–43. , , , et al.
- The impact of penicillin skin testing on clinical practice and antimicrobial stewardship. J Hosp Med. 2013;8(6):341–345. , , , et al.
- Joint Task Force on Practice Parameters; American College of Allergy, Asthma and Immunology;Joint Council of Allergy, Asthma and Immunology. Drug allergy: an updated practice parameter. Ann Allergy Asthma Immunol. 2010;105:259–273. , , , et al.
- Prescription quality in an acute medical ward. Pharmacoepidemiol Drug Saf. 2009;18(12):1158–1165. , , .
- Make no mistake! Medical errors can be deadly serious. FDA Consum. 2000;34(5):13–18. .
- Medication errors. J R Coll Physicians Edinb. 2007;37:343–346. .
- A pharmacist‐led information technology intervention for medication errors (PINCER): a multicenter, cluster randomized, controlled trial and cost‐effectiveness analysis. Lancet. 2012;379(9823):1301–1309. , , , et al.
- Getting the data right: information accuracy in pediatric emergency medicine. Qual Saf Health Care. 2006;15(4):296–301. , , , .
- Antibiotic allergy: inaccurate history taking in a teaching hospital. South Med J. 1994;87(8):805–807. , .
- Drug allergy documentation—time for a change? Int J Clin Pharm. 2011;33(4):610–613. , , .
Patient safety is a healthcare provider's top priority. Drug allergies are instated into an electronic medical record (EMR) to avoid potential adverse events in the future. Despite the intention to provide safety, healthcare providers frequently document antimicrobial allergies incorrectly.[1] In turn, this may lead to decreased antibiotic choices, increased healthcare costs, potential adverse reactions, and unnecessary avoidance of optimal, first‐line agents.
Several strategies have been developed to help improve the accuracy of allergy documentation, including pharmacy‐based interventions, but the persistence of corrections, once performed, is unknown.[2] Although most antibiotic allergy errors are identified upon review of prior medication history (eg, penicillin allergy listed in a patient who previously received piperacillintazobactam), no prior studies have evaluated penicillin allergy errors directly after a proven tolerance with a penicillin skin testing (PST) and penicillin confirmatory challenge.[3, 4, 5] We hereby assess factors for erroneous allergy documentation in a cohort of patients with a negative PST.
METHODS
We retrospectively reviewed charts under a protocol approved by the university and medical center institutional review board. Following a PST intervention we have previously described, penicillin was removed from the patients' EMR (Epic, Verona, WI) allergy list from March 2012 through July 2012.[6] We then invested a brief procedure note into the allergy section describing the negative PST and subsequent tolerance of a penicillin agent. During the PST intervention, there was no attempt to convey the result of the PST and corrected allergy information to the outpatient clinicians.
As a follow‐up to our previous study, we reviewed the charts of the 150 subjects who represented the entire population of patients who underwent PST in the March 2012 through July 2012 intervention time period. From August 2012 through July 2013, charts were reviewed to gauge reappearances at Vidant Health, a system of 10 hospitals in eastern North Carolina. Collected data also included demographics, drug allergy or intolerance, penicillin allergy redocumentation, residence, antimicrobial use, and presence of dementia or altered mentation.
Outpatient physician and long‐term care facility (LTCF) allergy records were obtained via EMR records, patient or family inquiry, and referring documents that accompanied the patient upon arrival. In addition to reviewing the LTCF and/or outpatient physician referring documents, the outpatient physician(s) and LTCFs were contacted and asked to review other electronic or paper records that may not have been delivered with the referring documents. Inpatient and outpatient records were reviewed for penicillin allergy, as defined by the drug allergy practice parameters.[7] Fischer exact tests were used to identify significant associated factors.
RESULTS
Of the 150 patients with proven penicillin tolerance, 55 (37%) revisited a Vidant Health hospital within a year period, of which 22 (40%) received a ‐lactam agent once again without adverse effects (Table 1). Twenty (36%) of the 55 patients had penicillin allergy redocumented (Figure 1). There was no description of any allergy after the PST in any of the 20 EMR, LTCF records, or outpatient primary care physician records. Factors associated with penicillin allergy redocumentation (vs those not redocumented) included age >65 years (P = 0.011), residence in a LTCF (P = 0.0001), acutely altered mentation (P < 0.0001), and dementia (P < 0.0001). Penicillin allergy was still reported in all 21 (100%) of the LTCF patient records.

Category | Variables | Penicillin Allergy Not Reinstated, n = 35 | Penicillin Allergy Reinstated, n = 20 | P Value |
---|---|---|---|---|
| ||||
Age, y | 1830 | 5 (14%) | 0 (0%) | 0.011 |
3164 | 17 (49%) | 5 (37%) | ||
>65 | 13 (37%) | 15 (75%) | ||
Gender | Male | 12 (34%) | 10 (50%) | 0.19 |
Female | 23 (66%) | 10 (50%) | ||
Race | White | 20 (57%) | 11 (55%) | 0.36 |
Black | 14 (40%) | 8 (40%) | ||
Hispanic | 1 (3%) | 1 (5%) | ||
Residence | Home | 28 (80%) | 5 (25%) | 0.0001 |
LTCF | 7 (20%) | 15 (75%) | ||
Acutely altered mentation | Yes | 8 (23%) | 16 (80%) | <0.0001 |
No | 27 (77%) | 4 (20%) | ||
Dementia | Yes | 1 (3%) | 10 (50%) | <0.0001 |
No | 34 (97%) | 10 (50%) | ||
Primary service | Residenta | 18 (51%) | 5 (25%) | 0.18 |
Hospitalist | 8 (23%) | 10 (50%) | ||
Surgery | 3 (9%) | 3 (15%) | ||
Emergency medicine | 6 (17%) | 2 (10%) | ||
Primary language | English | 34 (97%) | 19 (95%) | 0.59 |
Spanish | 1 (3%) | 1 (5%) | ||
Hospital diagnosis | Infectious | 19 (54%) | 14 (70%) | 0.20 |
Noninfectious | 16 (46%) | 6 (30%) | ||
Antibiotic received | ‐lactamb | 22 (63%) | 0 (0%) | 0.07 |
Non‐lactamc | 4 (11%) | 12 (60%) | ||
None | 9 (26%) | 8 (40%) |
CONCLUSION
Errors in medication documentation are a major cause of potential harm and death.[8] In the United States, up to 14% of patient harm is due to a preventable medication error, a rate that exceeds death related to breast cancer, vehicular accidents, and AIDS.[9, 10] Inaccurate drug allergy reporting can result in a cascade of consequential medical errors, including medication prescribing (eg, use of less effective, potentially more toxic and/or more expensive agents), and diagnostic errors (eg, repeat PST, unnecessary medication desensitization).
Although EMR systems are designed to improve allergy documentation, they may also increase the risk of inaccurate or out‐of‐date data. Providers may be reluctant to permanently alter the electronic record by removing an allergy from the EMR. Chart lore, the persistence of inaccurate or outdated information, may contribute to error, particularly when the patient is unable to provide information directly. We found, for example, that dementia and acutely altered mentation were associated with allergy reporting errors, likely related to the inability of the patient to give a reliable history. Finally, the EMR does not typically include a function for noting that an allergy does not exist, making it easier to reinstate incorrect allergies. To address this problem, we subsequently began listing a negative PST as an other allergy in the EMR allergy section to improve visibility.
We also found that residence in an LTCF was associated with allergy reporting error, in part perhaps because all LTCF records still included penicillin as an allergy. This finding highlights the need for direct communication of a proven PST tolerance with the primary care physician or LTCF provider, which was not part of our initial intervention. Previous studies have described the benefit of removing incorrectly reported allergies from community pharmacy records as well.[2, 11] Simply recording it into a transfer summary may not suffice, as LTCF providers may not read, or misread, the PST result. Healthcare providers performing PST should attempt to maintain consistent inpatient and outpatient drug allergy reports to avoid drug allergies.
Another possible modality to reduce inaccurate drug allergy documentation is repetitive review of the allergy list. In the Epic EMR system, the allergy list will illustrate when the healthcare provider(s) reviewed the patients' allergies last. At Vidant Health, the allergy list is generally only reviewed during nursing triage in the emergency department. Healthcare providers should avoid chart lore or relying on nursing notes and routinely review allergies directly with the patient. Obtaining allergy information only during routine nursing triage assessment is substandard.[12] This should not substitute acquisition of allergy information from the patient using a structured, direct interview. Supervision and repeated EMR review may help to avoid overlooking an inaccurate history acquisition.[13] This may help not only help to remove drug allergies that were erroneously added to the patient's list, but also to possibly add agents that may have been missed by the triaging team.
Another means by which inaccurate redocumentation of drug allergies can be avoided is avoidance of placing nonallergic drug reactions in the allergy section of the EMR. Antimicrobial agents are often added to the allergy list because of a drug intolerance (eg, gastrointestinal symptoms), and/or pharmacologic effect (eg, electrolyte abnormality). Although these are not true reactions, healthcare providers often avoid rechallenging these agents. These adverse reactions should be placed within the problem list or past medical history section of the EMR, and not within the allergy section. Therefore, healthcare providers should accurately describe the behavior of the allergic reaction(s).[14]
A limitation of our study is our small sample size and single‐site design. This may have limited the ability to analyze the data in a multivariable way and the ability to learn about risk factors across a variety of EMR and workflow settings. Furthermore, we reviewed only the 55 patients who were readmitted, and therefore do not know how accurate records were for the other 95 patients.
In summary, this work highlights the challenges of successful implementation of quality improvement projects in an electronic health record‐based world. Although PST can expand antimicrobial choices and reduce healthcare costs, the benefits may be limited by inadequately removing the allergy from the hospital and outpatient record(s). From the novel data gathered from our study, primary care physicians and LTCFs are now promptly notified of a negative PST to reduce these medical errors, and we believe this process should become a standard of care.
Acknowledgments
The authors thank Dr. Muhammad S. Ashraf for his assistance in preparing this manuscript.
Disclosures: Ramzy H. Rimawi, MD, has a potential conflict of interest with Alk‐Abello (speakers' bureau), the manufacturer of the Pre‐PEN penicillin skin test. Alk‐Abello was not involved in the production of this article. Paul P. Cook, MD has potential conflicts of interest with Gilead (investigator), Pfizer (investigator), Merck (investigator and speakers' bureau) and Forest (speakers' bureau), none of which relate to the use of penicillin or penicillin skin tests. None of the authors have received any source(s) of funding for this article. The corresponding author, Ramzy Rimawi, MD, had full access to all of the data in the study and had final responsibility for the decision to submit for publication. The manuscript is not under review by any other publication.
Patient safety is a healthcare provider's top priority. Drug allergies are instated into an electronic medical record (EMR) to avoid potential adverse events in the future. Despite the intention to provide safety, healthcare providers frequently document antimicrobial allergies incorrectly.[1] In turn, this may lead to decreased antibiotic choices, increased healthcare costs, potential adverse reactions, and unnecessary avoidance of optimal, first‐line agents.
Several strategies have been developed to help improve the accuracy of allergy documentation, including pharmacy‐based interventions, but the persistence of corrections, once performed, is unknown.[2] Although most antibiotic allergy errors are identified upon review of prior medication history (eg, penicillin allergy listed in a patient who previously received piperacillintazobactam), no prior studies have evaluated penicillin allergy errors directly after a proven tolerance with a penicillin skin testing (PST) and penicillin confirmatory challenge.[3, 4, 5] We hereby assess factors for erroneous allergy documentation in a cohort of patients with a negative PST.
METHODS
We retrospectively reviewed charts under a protocol approved by the university and medical center institutional review board. Following a PST intervention we have previously described, penicillin was removed from the patients' EMR (Epic, Verona, WI) allergy list from March 2012 through July 2012.[6] We then invested a brief procedure note into the allergy section describing the negative PST and subsequent tolerance of a penicillin agent. During the PST intervention, there was no attempt to convey the result of the PST and corrected allergy information to the outpatient clinicians.
As a follow‐up to our previous study, we reviewed the charts of the 150 subjects who represented the entire population of patients who underwent PST in the March 2012 through July 2012 intervention time period. From August 2012 through July 2013, charts were reviewed to gauge reappearances at Vidant Health, a system of 10 hospitals in eastern North Carolina. Collected data also included demographics, drug allergy or intolerance, penicillin allergy redocumentation, residence, antimicrobial use, and presence of dementia or altered mentation.
Outpatient physician and long‐term care facility (LTCF) allergy records were obtained via EMR records, patient or family inquiry, and referring documents that accompanied the patient upon arrival. In addition to reviewing the LTCF and/or outpatient physician referring documents, the outpatient physician(s) and LTCFs were contacted and asked to review other electronic or paper records that may not have been delivered with the referring documents. Inpatient and outpatient records were reviewed for penicillin allergy, as defined by the drug allergy practice parameters.[7] Fischer exact tests were used to identify significant associated factors.
RESULTS
Of the 150 patients with proven penicillin tolerance, 55 (37%) revisited a Vidant Health hospital within a year period, of which 22 (40%) received a ‐lactam agent once again without adverse effects (Table 1). Twenty (36%) of the 55 patients had penicillin allergy redocumented (Figure 1). There was no description of any allergy after the PST in any of the 20 EMR, LTCF records, or outpatient primary care physician records. Factors associated with penicillin allergy redocumentation (vs those not redocumented) included age >65 years (P = 0.011), residence in a LTCF (P = 0.0001), acutely altered mentation (P < 0.0001), and dementia (P < 0.0001). Penicillin allergy was still reported in all 21 (100%) of the LTCF patient records.

Category | Variables | Penicillin Allergy Not Reinstated, n = 35 | Penicillin Allergy Reinstated, n = 20 | P Value |
---|---|---|---|---|
| ||||
Age, y | 1830 | 5 (14%) | 0 (0%) | 0.011 |
3164 | 17 (49%) | 5 (37%) | ||
>65 | 13 (37%) | 15 (75%) | ||
Gender | Male | 12 (34%) | 10 (50%) | 0.19 |
Female | 23 (66%) | 10 (50%) | ||
Race | White | 20 (57%) | 11 (55%) | 0.36 |
Black | 14 (40%) | 8 (40%) | ||
Hispanic | 1 (3%) | 1 (5%) | ||
Residence | Home | 28 (80%) | 5 (25%) | 0.0001 |
LTCF | 7 (20%) | 15 (75%) | ||
Acutely altered mentation | Yes | 8 (23%) | 16 (80%) | <0.0001 |
No | 27 (77%) | 4 (20%) | ||
Dementia | Yes | 1 (3%) | 10 (50%) | <0.0001 |
No | 34 (97%) | 10 (50%) | ||
Primary service | Residenta | 18 (51%) | 5 (25%) | 0.18 |
Hospitalist | 8 (23%) | 10 (50%) | ||
Surgery | 3 (9%) | 3 (15%) | ||
Emergency medicine | 6 (17%) | 2 (10%) | ||
Primary language | English | 34 (97%) | 19 (95%) | 0.59 |
Spanish | 1 (3%) | 1 (5%) | ||
Hospital diagnosis | Infectious | 19 (54%) | 14 (70%) | 0.20 |
Noninfectious | 16 (46%) | 6 (30%) | ||
Antibiotic received | ‐lactamb | 22 (63%) | 0 (0%) | 0.07 |
Non‐lactamc | 4 (11%) | 12 (60%) | ||
None | 9 (26%) | 8 (40%) |
CONCLUSION
Errors in medication documentation are a major cause of potential harm and death.[8] In the United States, up to 14% of patient harm is due to a preventable medication error, a rate that exceeds death related to breast cancer, vehicular accidents, and AIDS.[9, 10] Inaccurate drug allergy reporting can result in a cascade of consequential medical errors, including medication prescribing (eg, use of less effective, potentially more toxic and/or more expensive agents), and diagnostic errors (eg, repeat PST, unnecessary medication desensitization).
Although EMR systems are designed to improve allergy documentation, they may also increase the risk of inaccurate or out‐of‐date data. Providers may be reluctant to permanently alter the electronic record by removing an allergy from the EMR. Chart lore, the persistence of inaccurate or outdated information, may contribute to error, particularly when the patient is unable to provide information directly. We found, for example, that dementia and acutely altered mentation were associated with allergy reporting errors, likely related to the inability of the patient to give a reliable history. Finally, the EMR does not typically include a function for noting that an allergy does not exist, making it easier to reinstate incorrect allergies. To address this problem, we subsequently began listing a negative PST as an other allergy in the EMR allergy section to improve visibility.
We also found that residence in an LTCF was associated with allergy reporting error, in part perhaps because all LTCF records still included penicillin as an allergy. This finding highlights the need for direct communication of a proven PST tolerance with the primary care physician or LTCF provider, which was not part of our initial intervention. Previous studies have described the benefit of removing incorrectly reported allergies from community pharmacy records as well.[2, 11] Simply recording it into a transfer summary may not suffice, as LTCF providers may not read, or misread, the PST result. Healthcare providers performing PST should attempt to maintain consistent inpatient and outpatient drug allergy reports to avoid drug allergies.
Another possible modality to reduce inaccurate drug allergy documentation is repetitive review of the allergy list. In the Epic EMR system, the allergy list will illustrate when the healthcare provider(s) reviewed the patients' allergies last. At Vidant Health, the allergy list is generally only reviewed during nursing triage in the emergency department. Healthcare providers should avoid chart lore or relying on nursing notes and routinely review allergies directly with the patient. Obtaining allergy information only during routine nursing triage assessment is substandard.[12] This should not substitute acquisition of allergy information from the patient using a structured, direct interview. Supervision and repeated EMR review may help to avoid overlooking an inaccurate history acquisition.[13] This may help not only help to remove drug allergies that were erroneously added to the patient's list, but also to possibly add agents that may have been missed by the triaging team.
Another means by which inaccurate redocumentation of drug allergies can be avoided is avoidance of placing nonallergic drug reactions in the allergy section of the EMR. Antimicrobial agents are often added to the allergy list because of a drug intolerance (eg, gastrointestinal symptoms), and/or pharmacologic effect (eg, electrolyte abnormality). Although these are not true reactions, healthcare providers often avoid rechallenging these agents. These adverse reactions should be placed within the problem list or past medical history section of the EMR, and not within the allergy section. Therefore, healthcare providers should accurately describe the behavior of the allergic reaction(s).[14]
A limitation of our study is our small sample size and single‐site design. This may have limited the ability to analyze the data in a multivariable way and the ability to learn about risk factors across a variety of EMR and workflow settings. Furthermore, we reviewed only the 55 patients who were readmitted, and therefore do not know how accurate records were for the other 95 patients.
In summary, this work highlights the challenges of successful implementation of quality improvement projects in an electronic health record‐based world. Although PST can expand antimicrobial choices and reduce healthcare costs, the benefits may be limited by inadequately removing the allergy from the hospital and outpatient record(s). From the novel data gathered from our study, primary care physicians and LTCFs are now promptly notified of a negative PST to reduce these medical errors, and we believe this process should become a standard of care.
Acknowledgments
The authors thank Dr. Muhammad S. Ashraf for his assistance in preparing this manuscript.
Disclosures: Ramzy H. Rimawi, MD, has a potential conflict of interest with Alk‐Abello (speakers' bureau), the manufacturer of the Pre‐PEN penicillin skin test. Alk‐Abello was not involved in the production of this article. Paul P. Cook, MD has potential conflicts of interest with Gilead (investigator), Pfizer (investigator), Merck (investigator and speakers' bureau) and Forest (speakers' bureau), none of which relate to the use of penicillin or penicillin skin tests. None of the authors have received any source(s) of funding for this article. The corresponding author, Ramzy Rimawi, MD, had full access to all of the data in the study and had final responsibility for the decision to submit for publication. The manuscript is not under review by any other publication.
- Accuracy of drug allergy documentation. Am J Health Syst Pharm. 1997;54(14):1627–1629. , .
- Program to remove incorrect allergy documentation in pediatrics medical records. Am J Health Syst Pharm. 2001;58(18):1722–1727. , , , et al.
- Electronic medication ordering with integrated drug database and clinical decision support system. Stud Health Technol Inform. 2012;180:693–697. , , .
- Pharmacy‐controlled documentation of drug allergies. Am J Health‐Syst Pharm. 1991;48:260–264. , , , .
- Systems analysis of adverse drug events. JAMA. 1995;274:35–43. , , , et al.
- The impact of penicillin skin testing on clinical practice and antimicrobial stewardship. J Hosp Med. 2013;8(6):341–345. , , , et al.
- Joint Task Force on Practice Parameters; American College of Allergy, Asthma and Immunology;Joint Council of Allergy, Asthma and Immunology. Drug allergy: an updated practice parameter. Ann Allergy Asthma Immunol. 2010;105:259–273. , , , et al.
- Prescription quality in an acute medical ward. Pharmacoepidemiol Drug Saf. 2009;18(12):1158–1165. , , .
- Make no mistake! Medical errors can be deadly serious. FDA Consum. 2000;34(5):13–18. .
- Medication errors. J R Coll Physicians Edinb. 2007;37:343–346. .
- A pharmacist‐led information technology intervention for medication errors (PINCER): a multicenter, cluster randomized, controlled trial and cost‐effectiveness analysis. Lancet. 2012;379(9823):1301–1309. , , , et al.
- Getting the data right: information accuracy in pediatric emergency medicine. Qual Saf Health Care. 2006;15(4):296–301. , , , .
- Antibiotic allergy: inaccurate history taking in a teaching hospital. South Med J. 1994;87(8):805–807. , .
- Drug allergy documentation—time for a change? Int J Clin Pharm. 2011;33(4):610–613. , , .
- Accuracy of drug allergy documentation. Am J Health Syst Pharm. 1997;54(14):1627–1629. , .
- Program to remove incorrect allergy documentation in pediatrics medical records. Am J Health Syst Pharm. 2001;58(18):1722–1727. , , , et al.
- Electronic medication ordering with integrated drug database and clinical decision support system. Stud Health Technol Inform. 2012;180:693–697. , , .
- Pharmacy‐controlled documentation of drug allergies. Am J Health‐Syst Pharm. 1991;48:260–264. , , , .
- Systems analysis of adverse drug events. JAMA. 1995;274:35–43. , , , et al.
- The impact of penicillin skin testing on clinical practice and antimicrobial stewardship. J Hosp Med. 2013;8(6):341–345. , , , et al.
- Joint Task Force on Practice Parameters; American College of Allergy, Asthma and Immunology;Joint Council of Allergy, Asthma and Immunology. Drug allergy: an updated practice parameter. Ann Allergy Asthma Immunol. 2010;105:259–273. , , , et al.
- Prescription quality in an acute medical ward. Pharmacoepidemiol Drug Saf. 2009;18(12):1158–1165. , , .
- Make no mistake! Medical errors can be deadly serious. FDA Consum. 2000;34(5):13–18. .
- Medication errors. J R Coll Physicians Edinb. 2007;37:343–346. .
- A pharmacist‐led information technology intervention for medication errors (PINCER): a multicenter, cluster randomized, controlled trial and cost‐effectiveness analysis. Lancet. 2012;379(9823):1301–1309. , , , et al.
- Getting the data right: information accuracy in pediatric emergency medicine. Qual Saf Health Care. 2006;15(4):296–301. , , , .
- Antibiotic allergy: inaccurate history taking in a teaching hospital. South Med J. 1994;87(8):805–807. , .
- Drug allergy documentation—time for a change? Int J Clin Pharm. 2011;33(4):610–613. , , .
© 2013 Society of Hospital Medicine
Weakness and facial droop: Is it a stroke?
CASE Sudden weakness
Ms. G, age 59, presents to a local critical access (rural) hospital after an episode of sudden-onset left-sided weakness followed by unconsciousness. She regained consciousness quickly and is awake when she arrives at the hospital. This event was not witnessed, although family members were nearby to call emergency personnel.
a) CT scan
b) MRI
c) EEG
d) head and neck magnetic resonance angiogram (MRA)
EXAMINATION Unremarkable
In the emergency department, Ms. G demonstrates left facial droop, left-sided weakness of her arm and leg, and aphasia. She says she has a severe headache that began after she regained consciousness. She is unable to see out of her left eye.
Ms. G’s NIH Stroke Scale score is 13, indicating a moderate stroke; an emergent head CT does not demonstrate any acute hemorrhagic process. Tissue plasminogen activator (tPA) is administered for a suspected stroke approximately 2 hours after her symptoms began. She is transferred to a larger, tertiary care hospital for further workup and observation.
Upon admission to the ICU, Ms. G’s laboratory values are: sodium, 137 mEq/L; potassium, 5.1 mEq/L; creatinine, 1.26 mg/dL; lipase, 126 U/L; and lactic acid, 9 mg/dL. The glucose level is within normal limits and her urinalysis is unremarkable.
Vital signs are stable and Ms. G is not in acute distress. A physical exam demonstrates 4/5 strength in the left-upper and -lower extremities. Additionally, there are 2+ deep tendon reflexes bilaterally in the biceps, triceps, and brachioradialis. She has left-sided facial droop while in the ICU, and continues to demonstrate some aphasia—although she is alert and oriented to person, time, and place.
The medical history is significant for depression, restless leg syndrome, tonic-clonic seizures, and previous stroke-like events. Medications include amitriptyline, 25 mg/d; citalopram, 20 mg/d; valproate, 1,200 mg/d; and ropinirole, 0.5 mg/d. Her mother has a history of stroke-like events, but her family history and social history are otherwise unremarkable.
The authors' observations
Conversion disorder requires the exclusion of medical causes that could explain the patient’s neurologic symptoms. It is prudent to rule out the most serious of the potential contributors to Ms. G’s condition—namely, an acute cerebrovascular accident. A CT scan did not find any significant pathology, however. In the ICU, an MRI showed no evidence of acute infarction based on diffusion-weighted imaging. A head and neck MRA demonstrated no hemodynamically significant stenosis of the internal carotid arteries. An EEG revealed generalized, polymorphic slow activity without evidence of seizures or epilepsy. An electrocardiogram showed normal ventricular size with an appropriate ejection fraction.
The ICU staff consulted psychiatry to evaluate a psychiatric cause of Ms. G’s symptoms.
An exhaustive and comprehensive workup was performed; there were no significant findings. Although laboratory tests were performed, it was the physical exam that suggested the diagnosis of conversion disorder. In that sense, the diagnostic tests were more of a supportive adjunct to the findings of the physical examination, which consistently failed to indicate a neurologic insult.
Hoover’s sign is a well-established test of functional weakness, in which the patient extends his (her) hip when the contralateral hip is flexed. However, there are other tests of functional weakness that can be useful when considering a conversion disorder diagnosis, including co-contraction, the so-called arm-drop sign, and the sternocleidomastoid test. Diukova and colleagues reported that 80% of patients with functional weakness demonstrated ipsilateral sternocleidomastoid weakness, compared with 11% with vascular hemiparesis.1
a) stroke
b) transient ischemic attack
c) conversion disorder
d) seizure disorder
Ms. G appeared to have suffered an acute ischemic event that caused her neurologic symptoms; her rather extensive psychiatric history was overlooked before the psychiatric service was consulted. When Ms. G was admitted to the ICU, the working differential was postictal seizure state rather than cerebrovascular accident. Ms. G had a poorly defined seizure history, and her history of stroke-like events was murky, at best. She had not been treated previously with tPA, and in all past instances her symptoms resolved spontaneously.
Ms. G’s case illustrates why conversion disorder is difficult to diagnose and why, perhaps, it is even a dangerous diagnostic consideration. Booij and colleagues described two patients with neurologic sequelae thought to be the result of conversion disorder; subsequent imaging demonstrated a posterior stroke.2 Over a 6-year period in an emergency department, Glick and coworkers identified six patients with neurologic pathology who were misdiagnosed with conversion disorder.3 In a study of 4,220 patients presenting to a psychiatric emergency service, three patients complained of extremity paralysis or pain, which was attributed to conversion disorder but later attributed to an organic disease.4
These studies emphasize the precarious nature of diagnosing conversion disorder. For that reason, an extensive medical workup is necessary prior to considering a diagnosis of conversion disorder. In Ms. G’s case, a reasonably thorough workup failed to reveal any obvious pathology. Only then was conversion disorder included as a diagnostic possibility.
EVALUATION Childhood abuse
When performing a mental status exam, Ms. G has poor eye contact, but is cooperative with our interview. She is disheveled and overweight, and denies suicidal or homicidal ideation. She displays constricted affect.
During the interview, we note a left facial droop, although Ms. G is able to smile fully. As the interview progresses, her facial droop seems to become more apparent as we discuss her past, including a history of childhood physical and sexual abuse. She has a history of depression and has been seeing an outpatient psychiatrist for the past year. Ms. G describes being hospitalized in a psychiatric unit, but she is unable to provide any details about when and where this occurred.
Ms. G admits to occasional auditory and visual hallucinations, mostly relating to the abuse she experienced as a child by her parents. She exhibits no other signs or symptoms of psychosis; the hallucinations she describes are consistent with flashbacks and vivid memories relating to the abuse. Ms. G also recently lost her job and is experiencing numerous financial stressors.
The authors' observations
There are many examples in the literature of patients with conversion disorder (Table 1),4 ranging from pseudoseizures, which are relatively common, to intriguing cases, such as cochlear implant failure.5
Some studies estimate that the prevalence of conversion disorder symptoms ranges from 16.1% to 21.9% in the general population.6 Somatoform disorders, including conversion disorder, often are comorbid with anxiety and depression. In one study, 26% of somatoform disorder patients also had depression or anxiety, or both.7 Patients with conversion disorder often report a history of childhood physical or sexual abuse.6 In many patients with conversion disorder, there also appears to be a significant association between the disorder and a recent and distant history of psychosocial stressors.8
Ms. G had an extensive history of abuse by her parents. Conversion disorder presenting as a stroke with realistic and convincing physical manifestations is an unusual presentation. There are case reports that detail this presentation, particularly in the emergency department setting.6
Clinical considerations
The relative uncertainty that accompanies a diagnosis of conversion disorder can be discomforting for clinicians. As demonstrated by Ms. G, as well as other case reports of conversion disorder, it takes time for the patient to find a clinician who will consider a diagnosis of conversion disorder.9 Largely, this is because DSM-5 requires that other medical causes be ruled out (Table 2).10 This often proves to be problematic because feigning, or the lack thereof, is difficult to prove.9
Further complicating the diagnosis is the lack of a diagnostic test. Neurologists can use video EEG or physical exam maneuvers such as the Hoover’s sign to help make a diagnosis of conversion disorder.11 In this sense, the physical exam maneuvers form the basis of making a diagnosis, while imaging and lab work support the diagnosis. Hoover’s sign, for example, has not been well studied in a controlled manner, but is recognized as a test that may aid a conversion disorder diagnosis. Clinicians should not solely rely upon these physical exam maneuvers; interpreting them in the context of the patient’s overall presentation is critical. This demonstrates the importance of using the physical exam as a way to guide the diagnosis in association with other tests.12
Despite the lack of pathology, studies demonstrate that patients with conversion disorder may have abnormal brain activity that causes them to perceive motor symptoms as involuntary.11 Therefore, there is a clear need for an increased understanding of psychiatric and neurologic components of diagnosing conversion disorder.8
With Ms. G, it was prudent to make a conversion disorder diagnosis to prevent harm to the patient should future stroke-like events occur. Without considering a conversion disorder diagnosis, a patient may continue to receive unnecessary interventions. Basic physical exam maneuvers, such as Hoover’s sign, can be performed quickly in the ED setting before proceeding with other potentially harmful interventions, such as administering tPA.
Treatment. There are few therapies for conversion disorder. This is, in part, because of lack of understanding about the disorder’s neurologic and biologic etiologies. Although there are some studies that support the use of cognitive-behavioral therapy (CBT), there is little evidence advocating the use of a single mechanism to treat conversion disorder.13 There is evidence that CBT is an effective treatment for several somatoform disorders, including conversion disorder. Research suggests that patients with somatoform disorder have better outcomes when CBT is added to a traditional follow-up.14,15
In Ms. G’s case, we provided information about the diagnosis and scheduled visits to continue her outpatient therapy.
Bottom Line
Conversion disorder is difficult to diagnose, and can mimic potentially life- threatening medical conditions. Conduct a thorough medical workup of these patients, even when it is tempting to jump to a diagnosis of conversion disorder. The use of physical exam maneuvers such as Hoover’s sign may help guide the diagnosis when used in conjunction with other testing.
Related Resources
- Conversion disorder. www.nlm.nih.gov/medlineplus/ency/ article/000954.htm.
- Couprie W, Wijdicks EF, Rooijmans HG, et al. Outcome in conver- sion disorder: a follow up study. J Neurol Neurosurg Psychiatry. 1995;58(6):750-752.
Drug Brand Names
Amitriptyline • Elavil Citalopram • Celexa
Ropinirole • Requip Valproate • Depakote
Disclosure
The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Diukova GM, Stolajrova AV, Vein AM. Sternocleidomastoid (SCM) muscle test in patients with hysterical and organic paresis. J Neurol Sci. 2001;187(suppl 1):S108.
2. Booij HA, Hamburger HL, Jöbsis GJ, et al. Stroke mimicking conversion disorder: two young women who put our feet back on the ground. Pract Neurol. 2012;12(3):179-181.
3. Glick TH, Workman TP, Gaufberg SV. Suspected conversion disorder: foreseeable risks and avoidable errors. Acad Emerg Med. 2000;7(11):1272-1277.
4. Fishbain DA, Goldberg M. The misdiagnosis of conversion disorder in a psychiatric emergency service. Gen Hosp Psychiatry. 1991;13(3):177-181.
5. Carlson ML, Archibald DJ, Gifford RH, et al. Conversion disorder: a missed diagnosis leading to cochlear reimplantation. Otol Neurotol. 2011;32(1):36-38.
6. Sar V, Akyüz G, Kundakçi T, et al. Childhood trauma, dissociation, and psychiatric comorbidity in patients with conversion disorder. Am J Psychiatry. 2004;161(12):2271-2276.
7. de Waal MW, Arnold IA, Eekhof JA, et al. Somatoform disorders in general practice: prevalence, functional impairment and comorbidity with anxiety and depressive disorders. Br J Psychiatry. 2004;184:470-476.
8. Nicholson TR, Stone J, Kanaan RA. Conversion disorder: a problematic diagnosis. J Neurol Neurosurg Psychiatry. 2011;82(11):1267-1273.
9. Stone J, LaFrance WC, Jr, Levenson JL, et al. Issues for
DSM-5: conversion disorder. Am J Psychiatry. 2010;167(6): 626-627.
10. Diagnostic and statistical manual of mental disorders, 5th ed. Washington, DC: American Psychiatric Association; 2013.
11. Voon V, Gallea C, Hattori N, et al. The involuntary nature of conversion disorder. Neurology. 2010;74(3):223-228.
12. Stone J, Zeman A, Sharpe M. Functional weakness and sensory disturbance. J Neurol Neurosurg Psychiatry. 2002; 73:241-245.
13. Aybek S, Kanaan RA, David AS. The neuropsychiatry of conversion disorder. Curr Opin Psychiatry. 2008;21(3):275-280.
14. Kroenke K. Efficacy of treatment for somatoform disorders: a review of randomized controlled trials. Psychosom Med. 2007;69(9):881-888.
15. Sharpe M, Walker J, Williams C, et al. Guided self-help for functional (psychogenic) symptoms: a randomized controlled efficacy trial. Neurology. 2011;77(6):564-572.
CASE Sudden weakness
Ms. G, age 59, presents to a local critical access (rural) hospital after an episode of sudden-onset left-sided weakness followed by unconsciousness. She regained consciousness quickly and is awake when she arrives at the hospital. This event was not witnessed, although family members were nearby to call emergency personnel.
a) CT scan
b) MRI
c) EEG
d) head and neck magnetic resonance angiogram (MRA)
EXAMINATION Unremarkable
In the emergency department, Ms. G demonstrates left facial droop, left-sided weakness of her arm and leg, and aphasia. She says she has a severe headache that began after she regained consciousness. She is unable to see out of her left eye.
Ms. G’s NIH Stroke Scale score is 13, indicating a moderate stroke; an emergent head CT does not demonstrate any acute hemorrhagic process. Tissue plasminogen activator (tPA) is administered for a suspected stroke approximately 2 hours after her symptoms began. She is transferred to a larger, tertiary care hospital for further workup and observation.
Upon admission to the ICU, Ms. G’s laboratory values are: sodium, 137 mEq/L; potassium, 5.1 mEq/L; creatinine, 1.26 mg/dL; lipase, 126 U/L; and lactic acid, 9 mg/dL. The glucose level is within normal limits and her urinalysis is unremarkable.
Vital signs are stable and Ms. G is not in acute distress. A physical exam demonstrates 4/5 strength in the left-upper and -lower extremities. Additionally, there are 2+ deep tendon reflexes bilaterally in the biceps, triceps, and brachioradialis. She has left-sided facial droop while in the ICU, and continues to demonstrate some aphasia—although she is alert and oriented to person, time, and place.
The medical history is significant for depression, restless leg syndrome, tonic-clonic seizures, and previous stroke-like events. Medications include amitriptyline, 25 mg/d; citalopram, 20 mg/d; valproate, 1,200 mg/d; and ropinirole, 0.5 mg/d. Her mother has a history of stroke-like events, but her family history and social history are otherwise unremarkable.
The authors' observations
Conversion disorder requires the exclusion of medical causes that could explain the patient’s neurologic symptoms. It is prudent to rule out the most serious of the potential contributors to Ms. G’s condition—namely, an acute cerebrovascular accident. A CT scan did not find any significant pathology, however. In the ICU, an MRI showed no evidence of acute infarction based on diffusion-weighted imaging. A head and neck MRA demonstrated no hemodynamically significant stenosis of the internal carotid arteries. An EEG revealed generalized, polymorphic slow activity without evidence of seizures or epilepsy. An electrocardiogram showed normal ventricular size with an appropriate ejection fraction.
The ICU staff consulted psychiatry to evaluate a psychiatric cause of Ms. G’s symptoms.
An exhaustive and comprehensive workup was performed; there were no significant findings. Although laboratory tests were performed, it was the physical exam that suggested the diagnosis of conversion disorder. In that sense, the diagnostic tests were more of a supportive adjunct to the findings of the physical examination, which consistently failed to indicate a neurologic insult.
Hoover’s sign is a well-established test of functional weakness, in which the patient extends his (her) hip when the contralateral hip is flexed. However, there are other tests of functional weakness that can be useful when considering a conversion disorder diagnosis, including co-contraction, the so-called arm-drop sign, and the sternocleidomastoid test. Diukova and colleagues reported that 80% of patients with functional weakness demonstrated ipsilateral sternocleidomastoid weakness, compared with 11% with vascular hemiparesis.1
a) stroke
b) transient ischemic attack
c) conversion disorder
d) seizure disorder
Ms. G appeared to have suffered an acute ischemic event that caused her neurologic symptoms; her rather extensive psychiatric history was overlooked before the psychiatric service was consulted. When Ms. G was admitted to the ICU, the working differential was postictal seizure state rather than cerebrovascular accident. Ms. G had a poorly defined seizure history, and her history of stroke-like events was murky, at best. She had not been treated previously with tPA, and in all past instances her symptoms resolved spontaneously.
Ms. G’s case illustrates why conversion disorder is difficult to diagnose and why, perhaps, it is even a dangerous diagnostic consideration. Booij and colleagues described two patients with neurologic sequelae thought to be the result of conversion disorder; subsequent imaging demonstrated a posterior stroke.2 Over a 6-year period in an emergency department, Glick and coworkers identified six patients with neurologic pathology who were misdiagnosed with conversion disorder.3 In a study of 4,220 patients presenting to a psychiatric emergency service, three patients complained of extremity paralysis or pain, which was attributed to conversion disorder but later attributed to an organic disease.4
These studies emphasize the precarious nature of diagnosing conversion disorder. For that reason, an extensive medical workup is necessary prior to considering a diagnosis of conversion disorder. In Ms. G’s case, a reasonably thorough workup failed to reveal any obvious pathology. Only then was conversion disorder included as a diagnostic possibility.
EVALUATION Childhood abuse
When performing a mental status exam, Ms. G has poor eye contact, but is cooperative with our interview. She is disheveled and overweight, and denies suicidal or homicidal ideation. She displays constricted affect.
During the interview, we note a left facial droop, although Ms. G is able to smile fully. As the interview progresses, her facial droop seems to become more apparent as we discuss her past, including a history of childhood physical and sexual abuse. She has a history of depression and has been seeing an outpatient psychiatrist for the past year. Ms. G describes being hospitalized in a psychiatric unit, but she is unable to provide any details about when and where this occurred.
Ms. G admits to occasional auditory and visual hallucinations, mostly relating to the abuse she experienced as a child by her parents. She exhibits no other signs or symptoms of psychosis; the hallucinations she describes are consistent with flashbacks and vivid memories relating to the abuse. Ms. G also recently lost her job and is experiencing numerous financial stressors.
The authors' observations
There are many examples in the literature of patients with conversion disorder (Table 1),4 ranging from pseudoseizures, which are relatively common, to intriguing cases, such as cochlear implant failure.5
Some studies estimate that the prevalence of conversion disorder symptoms ranges from 16.1% to 21.9% in the general population.6 Somatoform disorders, including conversion disorder, often are comorbid with anxiety and depression. In one study, 26% of somatoform disorder patients also had depression or anxiety, or both.7 Patients with conversion disorder often report a history of childhood physical or sexual abuse.6 In many patients with conversion disorder, there also appears to be a significant association between the disorder and a recent and distant history of psychosocial stressors.8
Ms. G had an extensive history of abuse by her parents. Conversion disorder presenting as a stroke with realistic and convincing physical manifestations is an unusual presentation. There are case reports that detail this presentation, particularly in the emergency department setting.6
Clinical considerations
The relative uncertainty that accompanies a diagnosis of conversion disorder can be discomforting for clinicians. As demonstrated by Ms. G, as well as other case reports of conversion disorder, it takes time for the patient to find a clinician who will consider a diagnosis of conversion disorder.9 Largely, this is because DSM-5 requires that other medical causes be ruled out (Table 2).10 This often proves to be problematic because feigning, or the lack thereof, is difficult to prove.9
Further complicating the diagnosis is the lack of a diagnostic test. Neurologists can use video EEG or physical exam maneuvers such as the Hoover’s sign to help make a diagnosis of conversion disorder.11 In this sense, the physical exam maneuvers form the basis of making a diagnosis, while imaging and lab work support the diagnosis. Hoover’s sign, for example, has not been well studied in a controlled manner, but is recognized as a test that may aid a conversion disorder diagnosis. Clinicians should not solely rely upon these physical exam maneuvers; interpreting them in the context of the patient’s overall presentation is critical. This demonstrates the importance of using the physical exam as a way to guide the diagnosis in association with other tests.12
Despite the lack of pathology, studies demonstrate that patients with conversion disorder may have abnormal brain activity that causes them to perceive motor symptoms as involuntary.11 Therefore, there is a clear need for an increased understanding of psychiatric and neurologic components of diagnosing conversion disorder.8
With Ms. G, it was prudent to make a conversion disorder diagnosis to prevent harm to the patient should future stroke-like events occur. Without considering a conversion disorder diagnosis, a patient may continue to receive unnecessary interventions. Basic physical exam maneuvers, such as Hoover’s sign, can be performed quickly in the ED setting before proceeding with other potentially harmful interventions, such as administering tPA.
Treatment. There are few therapies for conversion disorder. This is, in part, because of lack of understanding about the disorder’s neurologic and biologic etiologies. Although there are some studies that support the use of cognitive-behavioral therapy (CBT), there is little evidence advocating the use of a single mechanism to treat conversion disorder.13 There is evidence that CBT is an effective treatment for several somatoform disorders, including conversion disorder. Research suggests that patients with somatoform disorder have better outcomes when CBT is added to a traditional follow-up.14,15
In Ms. G’s case, we provided information about the diagnosis and scheduled visits to continue her outpatient therapy.
Bottom Line
Conversion disorder is difficult to diagnose, and can mimic potentially life- threatening medical conditions. Conduct a thorough medical workup of these patients, even when it is tempting to jump to a diagnosis of conversion disorder. The use of physical exam maneuvers such as Hoover’s sign may help guide the diagnosis when used in conjunction with other testing.
Related Resources
- Conversion disorder. www.nlm.nih.gov/medlineplus/ency/ article/000954.htm.
- Couprie W, Wijdicks EF, Rooijmans HG, et al. Outcome in conver- sion disorder: a follow up study. J Neurol Neurosurg Psychiatry. 1995;58(6):750-752.
Drug Brand Names
Amitriptyline • Elavil Citalopram • Celexa
Ropinirole • Requip Valproate • Depakote
Disclosure
The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.
CASE Sudden weakness
Ms. G, age 59, presents to a local critical access (rural) hospital after an episode of sudden-onset left-sided weakness followed by unconsciousness. She regained consciousness quickly and is awake when she arrives at the hospital. This event was not witnessed, although family members were nearby to call emergency personnel.
a) CT scan
b) MRI
c) EEG
d) head and neck magnetic resonance angiogram (MRA)
EXAMINATION Unremarkable
In the emergency department, Ms. G demonstrates left facial droop, left-sided weakness of her arm and leg, and aphasia. She says she has a severe headache that began after she regained consciousness. She is unable to see out of her left eye.
Ms. G’s NIH Stroke Scale score is 13, indicating a moderate stroke; an emergent head CT does not demonstrate any acute hemorrhagic process. Tissue plasminogen activator (tPA) is administered for a suspected stroke approximately 2 hours after her symptoms began. She is transferred to a larger, tertiary care hospital for further workup and observation.
Upon admission to the ICU, Ms. G’s laboratory values are: sodium, 137 mEq/L; potassium, 5.1 mEq/L; creatinine, 1.26 mg/dL; lipase, 126 U/L; and lactic acid, 9 mg/dL. The glucose level is within normal limits and her urinalysis is unremarkable.
Vital signs are stable and Ms. G is not in acute distress. A physical exam demonstrates 4/5 strength in the left-upper and -lower extremities. Additionally, there are 2+ deep tendon reflexes bilaterally in the biceps, triceps, and brachioradialis. She has left-sided facial droop while in the ICU, and continues to demonstrate some aphasia—although she is alert and oriented to person, time, and place.
The medical history is significant for depression, restless leg syndrome, tonic-clonic seizures, and previous stroke-like events. Medications include amitriptyline, 25 mg/d; citalopram, 20 mg/d; valproate, 1,200 mg/d; and ropinirole, 0.5 mg/d. Her mother has a history of stroke-like events, but her family history and social history are otherwise unremarkable.
The authors' observations
Conversion disorder requires the exclusion of medical causes that could explain the patient’s neurologic symptoms. It is prudent to rule out the most serious of the potential contributors to Ms. G’s condition—namely, an acute cerebrovascular accident. A CT scan did not find any significant pathology, however. In the ICU, an MRI showed no evidence of acute infarction based on diffusion-weighted imaging. A head and neck MRA demonstrated no hemodynamically significant stenosis of the internal carotid arteries. An EEG revealed generalized, polymorphic slow activity without evidence of seizures or epilepsy. An electrocardiogram showed normal ventricular size with an appropriate ejection fraction.
The ICU staff consulted psychiatry to evaluate a psychiatric cause of Ms. G’s symptoms.
An exhaustive and comprehensive workup was performed; there were no significant findings. Although laboratory tests were performed, it was the physical exam that suggested the diagnosis of conversion disorder. In that sense, the diagnostic tests were more of a supportive adjunct to the findings of the physical examination, which consistently failed to indicate a neurologic insult.
Hoover’s sign is a well-established test of functional weakness, in which the patient extends his (her) hip when the contralateral hip is flexed. However, there are other tests of functional weakness that can be useful when considering a conversion disorder diagnosis, including co-contraction, the so-called arm-drop sign, and the sternocleidomastoid test. Diukova and colleagues reported that 80% of patients with functional weakness demonstrated ipsilateral sternocleidomastoid weakness, compared with 11% with vascular hemiparesis.1
a) stroke
b) transient ischemic attack
c) conversion disorder
d) seizure disorder
Ms. G appeared to have suffered an acute ischemic event that caused her neurologic symptoms; her rather extensive psychiatric history was overlooked before the psychiatric service was consulted. When Ms. G was admitted to the ICU, the working differential was postictal seizure state rather than cerebrovascular accident. Ms. G had a poorly defined seizure history, and her history of stroke-like events was murky, at best. She had not been treated previously with tPA, and in all past instances her symptoms resolved spontaneously.
Ms. G’s case illustrates why conversion disorder is difficult to diagnose and why, perhaps, it is even a dangerous diagnostic consideration. Booij and colleagues described two patients with neurologic sequelae thought to be the result of conversion disorder; subsequent imaging demonstrated a posterior stroke.2 Over a 6-year period in an emergency department, Glick and coworkers identified six patients with neurologic pathology who were misdiagnosed with conversion disorder.3 In a study of 4,220 patients presenting to a psychiatric emergency service, three patients complained of extremity paralysis or pain, which was attributed to conversion disorder but later attributed to an organic disease.4
These studies emphasize the precarious nature of diagnosing conversion disorder. For that reason, an extensive medical workup is necessary prior to considering a diagnosis of conversion disorder. In Ms. G’s case, a reasonably thorough workup failed to reveal any obvious pathology. Only then was conversion disorder included as a diagnostic possibility.
EVALUATION Childhood abuse
When performing a mental status exam, Ms. G has poor eye contact, but is cooperative with our interview. She is disheveled and overweight, and denies suicidal or homicidal ideation. She displays constricted affect.
During the interview, we note a left facial droop, although Ms. G is able to smile fully. As the interview progresses, her facial droop seems to become more apparent as we discuss her past, including a history of childhood physical and sexual abuse. She has a history of depression and has been seeing an outpatient psychiatrist for the past year. Ms. G describes being hospitalized in a psychiatric unit, but she is unable to provide any details about when and where this occurred.
Ms. G admits to occasional auditory and visual hallucinations, mostly relating to the abuse she experienced as a child by her parents. She exhibits no other signs or symptoms of psychosis; the hallucinations she describes are consistent with flashbacks and vivid memories relating to the abuse. Ms. G also recently lost her job and is experiencing numerous financial stressors.
The authors' observations
There are many examples in the literature of patients with conversion disorder (Table 1),4 ranging from pseudoseizures, which are relatively common, to intriguing cases, such as cochlear implant failure.5
Some studies estimate that the prevalence of conversion disorder symptoms ranges from 16.1% to 21.9% in the general population.6 Somatoform disorders, including conversion disorder, often are comorbid with anxiety and depression. In one study, 26% of somatoform disorder patients also had depression or anxiety, or both.7 Patients with conversion disorder often report a history of childhood physical or sexual abuse.6 In many patients with conversion disorder, there also appears to be a significant association between the disorder and a recent and distant history of psychosocial stressors.8
Ms. G had an extensive history of abuse by her parents. Conversion disorder presenting as a stroke with realistic and convincing physical manifestations is an unusual presentation. There are case reports that detail this presentation, particularly in the emergency department setting.6
Clinical considerations
The relative uncertainty that accompanies a diagnosis of conversion disorder can be discomforting for clinicians. As demonstrated by Ms. G, as well as other case reports of conversion disorder, it takes time for the patient to find a clinician who will consider a diagnosis of conversion disorder.9 Largely, this is because DSM-5 requires that other medical causes be ruled out (Table 2).10 This often proves to be problematic because feigning, or the lack thereof, is difficult to prove.9
Further complicating the diagnosis is the lack of a diagnostic test. Neurologists can use video EEG or physical exam maneuvers such as the Hoover’s sign to help make a diagnosis of conversion disorder.11 In this sense, the physical exam maneuvers form the basis of making a diagnosis, while imaging and lab work support the diagnosis. Hoover’s sign, for example, has not been well studied in a controlled manner, but is recognized as a test that may aid a conversion disorder diagnosis. Clinicians should not solely rely upon these physical exam maneuvers; interpreting them in the context of the patient’s overall presentation is critical. This demonstrates the importance of using the physical exam as a way to guide the diagnosis in association with other tests.12
Despite the lack of pathology, studies demonstrate that patients with conversion disorder may have abnormal brain activity that causes them to perceive motor symptoms as involuntary.11 Therefore, there is a clear need for an increased understanding of psychiatric and neurologic components of diagnosing conversion disorder.8
With Ms. G, it was prudent to make a conversion disorder diagnosis to prevent harm to the patient should future stroke-like events occur. Without considering a conversion disorder diagnosis, a patient may continue to receive unnecessary interventions. Basic physical exam maneuvers, such as Hoover’s sign, can be performed quickly in the ED setting before proceeding with other potentially harmful interventions, such as administering tPA.
Treatment. There are few therapies for conversion disorder. This is, in part, because of lack of understanding about the disorder’s neurologic and biologic etiologies. Although there are some studies that support the use of cognitive-behavioral therapy (CBT), there is little evidence advocating the use of a single mechanism to treat conversion disorder.13 There is evidence that CBT is an effective treatment for several somatoform disorders, including conversion disorder. Research suggests that patients with somatoform disorder have better outcomes when CBT is added to a traditional follow-up.14,15
In Ms. G’s case, we provided information about the diagnosis and scheduled visits to continue her outpatient therapy.
Bottom Line
Conversion disorder is difficult to diagnose, and can mimic potentially life- threatening medical conditions. Conduct a thorough medical workup of these patients, even when it is tempting to jump to a diagnosis of conversion disorder. The use of physical exam maneuvers such as Hoover’s sign may help guide the diagnosis when used in conjunction with other testing.
Related Resources
- Conversion disorder. www.nlm.nih.gov/medlineplus/ency/ article/000954.htm.
- Couprie W, Wijdicks EF, Rooijmans HG, et al. Outcome in conver- sion disorder: a follow up study. J Neurol Neurosurg Psychiatry. 1995;58(6):750-752.
Drug Brand Names
Amitriptyline • Elavil Citalopram • Celexa
Ropinirole • Requip Valproate • Depakote
Disclosure
The authors report no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Diukova GM, Stolajrova AV, Vein AM. Sternocleidomastoid (SCM) muscle test in patients with hysterical and organic paresis. J Neurol Sci. 2001;187(suppl 1):S108.
2. Booij HA, Hamburger HL, Jöbsis GJ, et al. Stroke mimicking conversion disorder: two young women who put our feet back on the ground. Pract Neurol. 2012;12(3):179-181.
3. Glick TH, Workman TP, Gaufberg SV. Suspected conversion disorder: foreseeable risks and avoidable errors. Acad Emerg Med. 2000;7(11):1272-1277.
4. Fishbain DA, Goldberg M. The misdiagnosis of conversion disorder in a psychiatric emergency service. Gen Hosp Psychiatry. 1991;13(3):177-181.
5. Carlson ML, Archibald DJ, Gifford RH, et al. Conversion disorder: a missed diagnosis leading to cochlear reimplantation. Otol Neurotol. 2011;32(1):36-38.
6. Sar V, Akyüz G, Kundakçi T, et al. Childhood trauma, dissociation, and psychiatric comorbidity in patients with conversion disorder. Am J Psychiatry. 2004;161(12):2271-2276.
7. de Waal MW, Arnold IA, Eekhof JA, et al. Somatoform disorders in general practice: prevalence, functional impairment and comorbidity with anxiety and depressive disorders. Br J Psychiatry. 2004;184:470-476.
8. Nicholson TR, Stone J, Kanaan RA. Conversion disorder: a problematic diagnosis. J Neurol Neurosurg Psychiatry. 2011;82(11):1267-1273.
9. Stone J, LaFrance WC, Jr, Levenson JL, et al. Issues for
DSM-5: conversion disorder. Am J Psychiatry. 2010;167(6): 626-627.
10. Diagnostic and statistical manual of mental disorders, 5th ed. Washington, DC: American Psychiatric Association; 2013.
11. Voon V, Gallea C, Hattori N, et al. The involuntary nature of conversion disorder. Neurology. 2010;74(3):223-228.
12. Stone J, Zeman A, Sharpe M. Functional weakness and sensory disturbance. J Neurol Neurosurg Psychiatry. 2002; 73:241-245.
13. Aybek S, Kanaan RA, David AS. The neuropsychiatry of conversion disorder. Curr Opin Psychiatry. 2008;21(3):275-280.
14. Kroenke K. Efficacy of treatment for somatoform disorders: a review of randomized controlled trials. Psychosom Med. 2007;69(9):881-888.
15. Sharpe M, Walker J, Williams C, et al. Guided self-help for functional (psychogenic) symptoms: a randomized controlled efficacy trial. Neurology. 2011;77(6):564-572.
1. Diukova GM, Stolajrova AV, Vein AM. Sternocleidomastoid (SCM) muscle test in patients with hysterical and organic paresis. J Neurol Sci. 2001;187(suppl 1):S108.
2. Booij HA, Hamburger HL, Jöbsis GJ, et al. Stroke mimicking conversion disorder: two young women who put our feet back on the ground. Pract Neurol. 2012;12(3):179-181.
3. Glick TH, Workman TP, Gaufberg SV. Suspected conversion disorder: foreseeable risks and avoidable errors. Acad Emerg Med. 2000;7(11):1272-1277.
4. Fishbain DA, Goldberg M. The misdiagnosis of conversion disorder in a psychiatric emergency service. Gen Hosp Psychiatry. 1991;13(3):177-181.
5. Carlson ML, Archibald DJ, Gifford RH, et al. Conversion disorder: a missed diagnosis leading to cochlear reimplantation. Otol Neurotol. 2011;32(1):36-38.
6. Sar V, Akyüz G, Kundakçi T, et al. Childhood trauma, dissociation, and psychiatric comorbidity in patients with conversion disorder. Am J Psychiatry. 2004;161(12):2271-2276.
7. de Waal MW, Arnold IA, Eekhof JA, et al. Somatoform disorders in general practice: prevalence, functional impairment and comorbidity with anxiety and depressive disorders. Br J Psychiatry. 2004;184:470-476.
8. Nicholson TR, Stone J, Kanaan RA. Conversion disorder: a problematic diagnosis. J Neurol Neurosurg Psychiatry. 2011;82(11):1267-1273.
9. Stone J, LaFrance WC, Jr, Levenson JL, et al. Issues for
DSM-5: conversion disorder. Am J Psychiatry. 2010;167(6): 626-627.
10. Diagnostic and statistical manual of mental disorders, 5th ed. Washington, DC: American Psychiatric Association; 2013.
11. Voon V, Gallea C, Hattori N, et al. The involuntary nature of conversion disorder. Neurology. 2010;74(3):223-228.
12. Stone J, Zeman A, Sharpe M. Functional weakness and sensory disturbance. J Neurol Neurosurg Psychiatry. 2002; 73:241-245.
13. Aybek S, Kanaan RA, David AS. The neuropsychiatry of conversion disorder. Curr Opin Psychiatry. 2008;21(3):275-280.
14. Kroenke K. Efficacy of treatment for somatoform disorders: a review of randomized controlled trials. Psychosom Med. 2007;69(9):881-888.
15. Sharpe M, Walker J, Williams C, et al. Guided self-help for functional (psychogenic) symptoms: a randomized controlled efficacy trial. Neurology. 2011;77(6):564-572.
Problematic pruritus: Seeking a cure for psychogenic itch
Psychogenic itch—an excessive impulse to scratch, gouge, or pick at skin in the absence of dermatologic cause—is common among psychiatric inpatients, but can be challenging to assess and manage in outpatients. Patients with psychogenic itch predominantly are female, with average age of onset between 30 and 45 years.1 Psychiatric disorders associated with psychogenic itch include depression, obsessive-compulsive disorder, anxiety, somatoform disorders, mania, psychosis, and substance abuse.2 Body dysmorphic disorder, trichotillomania, kleptomania, and borderline personality disorder may be comorbid in patients with psychogenic itch.3
Characteristics of psychogenic itch
Consider psychogenic itch in patients who have recurring physical symptoms and demand examination despite repeated negative results. Other indicators include psychological factors—loss of a loved one, unemployment, relocation, etc.—that may be associated with onset, severity, elicitation, or maintenance of the itching; impairments in the patient’s social or professional life; and marked preoccupation with itching or the state of her (his) skin. Characteristically, itching can be provoked by emotional triggers, most notably during stages of excitement, and also by mechanical or chemical stimuli.
Skin changes associated with psychogenic itch often are found on areas accessible to the patient’s hand: face, arms, legs, abdomen, thighs, upper back, and shoulders. These changes can be seen in varying stages, from discrete superficial excoriations, erosions, and ulcers to thick, darkened nodules and colorless atrophic scars. Patients often complain of burning. In some cases, a patient uses a tool or instrument to autoaggressively manipulate his (her) skin in response to tingling or stabbing sensations. Artificial lesions or eczemas brought on by self-
manipulation can occur. Stress, life changes, or inhibited rage may be evoking the burning sensation and subsequent complaints.
Interventions to consider
After you have ruled out other causes of pruritus and made a diagnosis of psychogenic itch, educate your patient about the multifactorial etiology. Explain possible associations between skin disorders and unconscious reaction patterns, and the role of emotional and cognitive stimuli.
Moisturizing the skin can help the dryness associated with repetitive scratching. Consider prescribing an antihistamine, moisturizer, topical steroid, antibiotic, or
occlusive dressing.
Some pharmacological properties of antidepressants that are not related to their antidepressant activity—eg, the histamine-1 blocking effect of tricyclic antidepressants—are beneficial for treating psychogenic itch.4 Sedating antihistamines (hydroxyzine) and antidepressants (doxepin) may help break cycles of itching and depression or itching and scratching.4 Tricyclic antidepressants also are recommended for treating burning, stabbing, or tingling sensations.
Disclosure
Dr. Jain reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Yosipovitch G, Samuel LS. Neuropathic and psychogenic itch. Dermatol Ther. 2008;21(1):32-41.
2. Krishnan A, Koo J. Psyche, opioids, and itch: therapeutic consequences. Dermatol Ther. 2005;18(4):314-322.
3. Arnold LM, Auchenbach MB, McElroy SL. Psychogenic excoriation. Clinical features, proposed diagnostic criteria, epidemiology and approaches to treatment. CNS Drugs. 2001;15(5):351-359.
4. Gupta MA, Guptat AK. The use of antidepressant drugs in dermatology. J Eur Acad Dermatol Venereol. 2001;15(6):512-518.
Psychogenic itch—an excessive impulse to scratch, gouge, or pick at skin in the absence of dermatologic cause—is common among psychiatric inpatients, but can be challenging to assess and manage in outpatients. Patients with psychogenic itch predominantly are female, with average age of onset between 30 and 45 years.1 Psychiatric disorders associated with psychogenic itch include depression, obsessive-compulsive disorder, anxiety, somatoform disorders, mania, psychosis, and substance abuse.2 Body dysmorphic disorder, trichotillomania, kleptomania, and borderline personality disorder may be comorbid in patients with psychogenic itch.3
Characteristics of psychogenic itch
Consider psychogenic itch in patients who have recurring physical symptoms and demand examination despite repeated negative results. Other indicators include psychological factors—loss of a loved one, unemployment, relocation, etc.—that may be associated with onset, severity, elicitation, or maintenance of the itching; impairments in the patient’s social or professional life; and marked preoccupation with itching or the state of her (his) skin. Characteristically, itching can be provoked by emotional triggers, most notably during stages of excitement, and also by mechanical or chemical stimuli.
Skin changes associated with psychogenic itch often are found on areas accessible to the patient’s hand: face, arms, legs, abdomen, thighs, upper back, and shoulders. These changes can be seen in varying stages, from discrete superficial excoriations, erosions, and ulcers to thick, darkened nodules and colorless atrophic scars. Patients often complain of burning. In some cases, a patient uses a tool or instrument to autoaggressively manipulate his (her) skin in response to tingling or stabbing sensations. Artificial lesions or eczemas brought on by self-
manipulation can occur. Stress, life changes, or inhibited rage may be evoking the burning sensation and subsequent complaints.
Interventions to consider
After you have ruled out other causes of pruritus and made a diagnosis of psychogenic itch, educate your patient about the multifactorial etiology. Explain possible associations between skin disorders and unconscious reaction patterns, and the role of emotional and cognitive stimuli.
Moisturizing the skin can help the dryness associated with repetitive scratching. Consider prescribing an antihistamine, moisturizer, topical steroid, antibiotic, or
occlusive dressing.
Some pharmacological properties of antidepressants that are not related to their antidepressant activity—eg, the histamine-1 blocking effect of tricyclic antidepressants—are beneficial for treating psychogenic itch.4 Sedating antihistamines (hydroxyzine) and antidepressants (doxepin) may help break cycles of itching and depression or itching and scratching.4 Tricyclic antidepressants also are recommended for treating burning, stabbing, or tingling sensations.
Disclosure
Dr. Jain reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.
Psychogenic itch—an excessive impulse to scratch, gouge, or pick at skin in the absence of dermatologic cause—is common among psychiatric inpatients, but can be challenging to assess and manage in outpatients. Patients with psychogenic itch predominantly are female, with average age of onset between 30 and 45 years.1 Psychiatric disorders associated with psychogenic itch include depression, obsessive-compulsive disorder, anxiety, somatoform disorders, mania, psychosis, and substance abuse.2 Body dysmorphic disorder, trichotillomania, kleptomania, and borderline personality disorder may be comorbid in patients with psychogenic itch.3
Characteristics of psychogenic itch
Consider psychogenic itch in patients who have recurring physical symptoms and demand examination despite repeated negative results. Other indicators include psychological factors—loss of a loved one, unemployment, relocation, etc.—that may be associated with onset, severity, elicitation, or maintenance of the itching; impairments in the patient’s social or professional life; and marked preoccupation with itching or the state of her (his) skin. Characteristically, itching can be provoked by emotional triggers, most notably during stages of excitement, and also by mechanical or chemical stimuli.
Skin changes associated with psychogenic itch often are found on areas accessible to the patient’s hand: face, arms, legs, abdomen, thighs, upper back, and shoulders. These changes can be seen in varying stages, from discrete superficial excoriations, erosions, and ulcers to thick, darkened nodules and colorless atrophic scars. Patients often complain of burning. In some cases, a patient uses a tool or instrument to autoaggressively manipulate his (her) skin in response to tingling or stabbing sensations. Artificial lesions or eczemas brought on by self-
manipulation can occur. Stress, life changes, or inhibited rage may be evoking the burning sensation and subsequent complaints.
Interventions to consider
After you have ruled out other causes of pruritus and made a diagnosis of psychogenic itch, educate your patient about the multifactorial etiology. Explain possible associations between skin disorders and unconscious reaction patterns, and the role of emotional and cognitive stimuli.
Moisturizing the skin can help the dryness associated with repetitive scratching. Consider prescribing an antihistamine, moisturizer, topical steroid, antibiotic, or
occlusive dressing.
Some pharmacological properties of antidepressants that are not related to their antidepressant activity—eg, the histamine-1 blocking effect of tricyclic antidepressants—are beneficial for treating psychogenic itch.4 Sedating antihistamines (hydroxyzine) and antidepressants (doxepin) may help break cycles of itching and depression or itching and scratching.4 Tricyclic antidepressants also are recommended for treating burning, stabbing, or tingling sensations.
Disclosure
Dr. Jain reports no financial relationship with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Yosipovitch G, Samuel LS. Neuropathic and psychogenic itch. Dermatol Ther. 2008;21(1):32-41.
2. Krishnan A, Koo J. Psyche, opioids, and itch: therapeutic consequences. Dermatol Ther. 2005;18(4):314-322.
3. Arnold LM, Auchenbach MB, McElroy SL. Psychogenic excoriation. Clinical features, proposed diagnostic criteria, epidemiology and approaches to treatment. CNS Drugs. 2001;15(5):351-359.
4. Gupta MA, Guptat AK. The use of antidepressant drugs in dermatology. J Eur Acad Dermatol Venereol. 2001;15(6):512-518.
1. Yosipovitch G, Samuel LS. Neuropathic and psychogenic itch. Dermatol Ther. 2008;21(1):32-41.
2. Krishnan A, Koo J. Psyche, opioids, and itch: therapeutic consequences. Dermatol Ther. 2005;18(4):314-322.
3. Arnold LM, Auchenbach MB, McElroy SL. Psychogenic excoriation. Clinical features, proposed diagnostic criteria, epidemiology and approaches to treatment. CNS Drugs. 2001;15(5):351-359.
4. Gupta MA, Guptat AK. The use of antidepressant drugs in dermatology. J Eur Acad Dermatol Venereol. 2001;15(6):512-518.
Neck–Shoulder Crossover: How Often Do Neck and Shoulder Pathology Masquerade as Each Other?
Repair of Lumbar Dural Tears With a Suture Patch: Retrospective Single-Surgeon Case Series
A new perspective on immunotherapy
Chimeric antigen receptor-modified T cells represent a new approach to immune therapy in the treatment of hematologic malignancies. The clinical activity of chimeric antigen receptors (CARs) has been published in acute lymphoblastic leukemia (ALL)and chronic lymphocytic leukemia (CLL).1 The results have been remarkable, although only a very small number of patients have been treated. We are anticipating further clinical trials and further development of this technology for more wide spread treatment opportunities for patients. The CARs that have been the most successful clinically have a similar basic make-up. They are genetically modified T cells. The T cells are collected from the patients through leukapheresis, then they are genetically
modified to express an extracellular recognition domain that is connected in the intracellular signaling domains of the T cells. Various extracellular recognition domains have been engineered, but the target of CD19 has proven most successful in patients with B cell malignancies, and CD19 is widely expressed on CLL and B-cell ALL. The cells are infused back into the patient, sometimes after undergoing chemotherapy to lymphodeplete the patient (which may improve the recovery and persistence of the cells after treatment). The infusion responses have been
dramatic in some patients, with severe cytokine storm described in reports, usually several days after treatment.2 This is thought to reflect the very rapid identification of the target protein and response of the T cells to the target. Those patients with acute leukemia who have responded also appear to respond rapidly, with disappearance of blasts from the peripheral blood within a month. The cells have been detectable in some patients for months after treatment.
Please click here to view the PDF.
Chimeric antigen receptor-modified T cells represent a new approach to immune therapy in the treatment of hematologic malignancies. The clinical activity of chimeric antigen receptors (CARs) has been published in acute lymphoblastic leukemia (ALL)and chronic lymphocytic leukemia (CLL).1 The results have been remarkable, although only a very small number of patients have been treated. We are anticipating further clinical trials and further development of this technology for more wide spread treatment opportunities for patients. The CARs that have been the most successful clinically have a similar basic make-up. They are genetically modified T cells. The T cells are collected from the patients through leukapheresis, then they are genetically
modified to express an extracellular recognition domain that is connected in the intracellular signaling domains of the T cells. Various extracellular recognition domains have been engineered, but the target of CD19 has proven most successful in patients with B cell malignancies, and CD19 is widely expressed on CLL and B-cell ALL. The cells are infused back into the patient, sometimes after undergoing chemotherapy to lymphodeplete the patient (which may improve the recovery and persistence of the cells after treatment). The infusion responses have been
dramatic in some patients, with severe cytokine storm described in reports, usually several days after treatment.2 This is thought to reflect the very rapid identification of the target protein and response of the T cells to the target. Those patients with acute leukemia who have responded also appear to respond rapidly, with disappearance of blasts from the peripheral blood within a month. The cells have been detectable in some patients for months after treatment.
Please click here to view the PDF.
Chimeric antigen receptor-modified T cells represent a new approach to immune therapy in the treatment of hematologic malignancies. The clinical activity of chimeric antigen receptors (CARs) has been published in acute lymphoblastic leukemia (ALL)and chronic lymphocytic leukemia (CLL).1 The results have been remarkable, although only a very small number of patients have been treated. We are anticipating further clinical trials and further development of this technology for more wide spread treatment opportunities for patients. The CARs that have been the most successful clinically have a similar basic make-up. They are genetically modified T cells. The T cells are collected from the patients through leukapheresis, then they are genetically
modified to express an extracellular recognition domain that is connected in the intracellular signaling domains of the T cells. Various extracellular recognition domains have been engineered, but the target of CD19 has proven most successful in patients with B cell malignancies, and CD19 is widely expressed on CLL and B-cell ALL. The cells are infused back into the patient, sometimes after undergoing chemotherapy to lymphodeplete the patient (which may improve the recovery and persistence of the cells after treatment). The infusion responses have been
dramatic in some patients, with severe cytokine storm described in reports, usually several days after treatment.2 This is thought to reflect the very rapid identification of the target protein and response of the T cells to the target. Those patients with acute leukemia who have responded also appear to respond rapidly, with disappearance of blasts from the peripheral blood within a month. The cells have been detectable in some patients for months after treatment.
Please click here to view the PDF.
Information Exchange Among Hospitals, Healthcare Providers Spikes
A new report that shows double-digit gains in hospitals’ electronic health information exchanges with other providers is a boon to healthcare, says one of SHM’s leading health information technology experts.
Published last month at HealthAffairs.org, “Hospital Electronic Health Information Exchange Grew Substantially in 2008-2012,” found that nearly 6 in 10 hospitals actively exchanged electronic health information with providers and hospitals outside of their own organization in 2012, a 41% jump since 2008.
Kendall Rogers, MD, FACP, SFHM, chief of the division of hospital medicine at the University of New Mexico Health Sciences Center in Albuquerque, says in an email to The Hospitalist that the growth is a good thing.
“Obviously, flow of information is never a bad thing for hospital medicine,” writes Dr. Rogers, chair of SHM’s Information Technology Executive Committee. “I think we have made more progress getting information back out to providers in the community, [and] helping with a safer transition (though we still have a long way to go), but we still lack significantly [in] getting info from providers or other hospitals on admission.”
The report notes that while more information has flowed among hospitals and providers, exchanges of clinical-care summaries and medication lists remain limited. The authors suggest that “new and ongoing policy initiatives and payment reforms may accelerate” the process.
Dr. Rogers adds that making systems more user-friendly may also encourage meaningful participation. “We have a health information exchange here in New Mexico that includes most hospitals”; however, he writes, “it is cumbersome and not routinely used, but definitely a step in the right direction.”
Visit our website for more information on health information technology.
A new report that shows double-digit gains in hospitals’ electronic health information exchanges with other providers is a boon to healthcare, says one of SHM’s leading health information technology experts.
Published last month at HealthAffairs.org, “Hospital Electronic Health Information Exchange Grew Substantially in 2008-2012,” found that nearly 6 in 10 hospitals actively exchanged electronic health information with providers and hospitals outside of their own organization in 2012, a 41% jump since 2008.
Kendall Rogers, MD, FACP, SFHM, chief of the division of hospital medicine at the University of New Mexico Health Sciences Center in Albuquerque, says in an email to The Hospitalist that the growth is a good thing.
“Obviously, flow of information is never a bad thing for hospital medicine,” writes Dr. Rogers, chair of SHM’s Information Technology Executive Committee. “I think we have made more progress getting information back out to providers in the community, [and] helping with a safer transition (though we still have a long way to go), but we still lack significantly [in] getting info from providers or other hospitals on admission.”
The report notes that while more information has flowed among hospitals and providers, exchanges of clinical-care summaries and medication lists remain limited. The authors suggest that “new and ongoing policy initiatives and payment reforms may accelerate” the process.
Dr. Rogers adds that making systems more user-friendly may also encourage meaningful participation. “We have a health information exchange here in New Mexico that includes most hospitals”; however, he writes, “it is cumbersome and not routinely used, but definitely a step in the right direction.”
Visit our website for more information on health information technology.
A new report that shows double-digit gains in hospitals’ electronic health information exchanges with other providers is a boon to healthcare, says one of SHM’s leading health information technology experts.
Published last month at HealthAffairs.org, “Hospital Electronic Health Information Exchange Grew Substantially in 2008-2012,” found that nearly 6 in 10 hospitals actively exchanged electronic health information with providers and hospitals outside of their own organization in 2012, a 41% jump since 2008.
Kendall Rogers, MD, FACP, SFHM, chief of the division of hospital medicine at the University of New Mexico Health Sciences Center in Albuquerque, says in an email to The Hospitalist that the growth is a good thing.
“Obviously, flow of information is never a bad thing for hospital medicine,” writes Dr. Rogers, chair of SHM’s Information Technology Executive Committee. “I think we have made more progress getting information back out to providers in the community, [and] helping with a safer transition (though we still have a long way to go), but we still lack significantly [in] getting info from providers or other hospitals on admission.”
The report notes that while more information has flowed among hospitals and providers, exchanges of clinical-care summaries and medication lists remain limited. The authors suggest that “new and ongoing policy initiatives and payment reforms may accelerate” the process.
Dr. Rogers adds that making systems more user-friendly may also encourage meaningful participation. “We have a health information exchange here in New Mexico that includes most hospitals”; however, he writes, “it is cumbersome and not routinely used, but definitely a step in the right direction.”
Visit our website for more information on health information technology.
Healthcare Cost Containment Not High Priority for Most Physicians
When it comes to controlling healthcare costs, only 36% of physicians agree that practicing physicians have a “major responsibility” to participate in cost containment, according to a recently published Journal of the American Medical Association study, "Views of U.S. Physicians About Controlling Health Care Costs.”
More than half of the 2,556 physicians who responded to a survey said trial lawyers, health insurance companies, hospitals and health systems, pharmaceutical and device manufacturers, and patients have a major responsibility for controlling healthcare costs.
In an accompanying editorial, Ezekiel Emanuel, MD, PhD, and Andrew Steinmetz, BA, of the department of medical ethics and health policy at the Perelman School of Medicine at the University of Pennsylvania in Philadelphia, labeled the responses as “somewhat discouraging” and “a denial of responsibility” by physicians about their role in bringing costs under control.
Christopher Moriates, MD, a hospitalist at the University of California at San Francisco (UCSF) who developed a cost-awareness curriculum for physicians and serves as co-chair of UCSF’s High Value Care Committee, calls the survey a snapshot of changing attitudes in medicine because it does not include medical students or residents who, he says, are more engaged in fighting wasteful spending.
“Younger physicians are growing up in a medical world that has stressed systems-thinking and teamwork,” Dr. Moriates says. “They are ready to take that major responsibility for our healthcare system. We just need to make sure that we are teaching them how.”
Visit our website for more information on controlling healthcare costs.
When it comes to controlling healthcare costs, only 36% of physicians agree that practicing physicians have a “major responsibility” to participate in cost containment, according to a recently published Journal of the American Medical Association study, "Views of U.S. Physicians About Controlling Health Care Costs.”
More than half of the 2,556 physicians who responded to a survey said trial lawyers, health insurance companies, hospitals and health systems, pharmaceutical and device manufacturers, and patients have a major responsibility for controlling healthcare costs.
In an accompanying editorial, Ezekiel Emanuel, MD, PhD, and Andrew Steinmetz, BA, of the department of medical ethics and health policy at the Perelman School of Medicine at the University of Pennsylvania in Philadelphia, labeled the responses as “somewhat discouraging” and “a denial of responsibility” by physicians about their role in bringing costs under control.
Christopher Moriates, MD, a hospitalist at the University of California at San Francisco (UCSF) who developed a cost-awareness curriculum for physicians and serves as co-chair of UCSF’s High Value Care Committee, calls the survey a snapshot of changing attitudes in medicine because it does not include medical students or residents who, he says, are more engaged in fighting wasteful spending.
“Younger physicians are growing up in a medical world that has stressed systems-thinking and teamwork,” Dr. Moriates says. “They are ready to take that major responsibility for our healthcare system. We just need to make sure that we are teaching them how.”
Visit our website for more information on controlling healthcare costs.
When it comes to controlling healthcare costs, only 36% of physicians agree that practicing physicians have a “major responsibility” to participate in cost containment, according to a recently published Journal of the American Medical Association study, "Views of U.S. Physicians About Controlling Health Care Costs.”
More than half of the 2,556 physicians who responded to a survey said trial lawyers, health insurance companies, hospitals and health systems, pharmaceutical and device manufacturers, and patients have a major responsibility for controlling healthcare costs.
In an accompanying editorial, Ezekiel Emanuel, MD, PhD, and Andrew Steinmetz, BA, of the department of medical ethics and health policy at the Perelman School of Medicine at the University of Pennsylvania in Philadelphia, labeled the responses as “somewhat discouraging” and “a denial of responsibility” by physicians about their role in bringing costs under control.
Christopher Moriates, MD, a hospitalist at the University of California at San Francisco (UCSF) who developed a cost-awareness curriculum for physicians and serves as co-chair of UCSF’s High Value Care Committee, calls the survey a snapshot of changing attitudes in medicine because it does not include medical students or residents who, he says, are more engaged in fighting wasteful spending.
“Younger physicians are growing up in a medical world that has stressed systems-thinking and teamwork,” Dr. Moriates says. “They are ready to take that major responsibility for our healthcare system. We just need to make sure that we are teaching them how.”
Visit our website for more information on controlling healthcare costs.
Hospitalists and PCPs, a potentially formidable force
We as hospitalists have been missing a huge piece of the puzzle when it comes to readmissions. With such a huge push to reduce the readmission rate at our hospitals and avoid the resultant penalties, have we been too internally focused?
In a recent article in, titled, "A primary care physician’s ideal transitions of care – where’s the evidence?" Dr. Ning Tang gives a PCP’s perspective on how outpatient providers can greatly facilitate our common goal of optimizing patients’ transition from hospital to home (J. Hosp. Med. 2013;8:472-7). After all, most of our patients do have a PCP, who has known them for a long time and who will have much more insight into their values and support systems, their idiosyncrasies, what they will and won’t follow through on, and even their pet peeves. When we who may interact with them for only a couple of hours try to use a cookie-cutter approach to care, it simply may not be received well, if at all.
Dr. Tang suggests that PCP communication begins at the point of admission. While some ERs and admissions offices have automated systems in place to contact PCPs when their patients are admitted, for most of us, this communication comes by way of a phone call or as an electronic or faxed copy of the admission note. While I do not think anyone would argue that early involvement by the PCP has a tremendous potential to improve both the patient’s transition from home into the hospital and vice versa, in real life doctors are frequently too busy and stressed to meet this basic expectation. Hopefully that will change in the future.
Some PCPs have no desire to talk with a hospitalist each time a patient is admitted because it takes them away from seeing patients in their office. Yet others would welcome the opportunity for early involvement. It is an individual preference, one we should strive to understand in order to optimize our patients’ experience – and the experience of the physician who has entrusted patients to us.
Medication reconciliation is but the tip of the iceberg of issues the PCP could assist with, and the realization that their patient may not actually be taking all the medications they prescribed (or taking medications they didn’t) can help improve the level of care patients receive once discharged.
In the midst of brutal day, we have all had medication nightmares that make us cringe, as we slowly count to three while practicing deep-breathing exercises. You know, the patient who pulls out a crumpled list of medications. Some have been crossed out and others are too illegible to read. Then, the spouse pulls out another "updated" list, and the physician and pharmacist each have their own list, and no two lists are exactly alike.
But these nightmares could soon end. I was surprised to find out that in January of this year, the Centers for Medicare and Medicaid Services introduced new codes to reimburse primary care providers for care coordination after hospital discharge. These codes, 99495 and 99496 reimburse a substantial fee, carrying weights of 3.96 and 5.81 RVUs (relative value units), respectively, a lot more than we typically make for even an extended history and physical.
So, I have to agree with Dr. Tang. We, PCPs and hospitalists alike, are missing a huge potential to optimize care transitions, decrease our readmission rate, and lower medical costs. Dialogue needs to take place between hospitalist and the PCPs they serve to bridge some of these gaps.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center who has a passion for empowering patients to partner in their health care. She is the creator of the Patient Whiz, a patient-engagement app for iOS.
We as hospitalists have been missing a huge piece of the puzzle when it comes to readmissions. With such a huge push to reduce the readmission rate at our hospitals and avoid the resultant penalties, have we been too internally focused?
In a recent article in, titled, "A primary care physician’s ideal transitions of care – where’s the evidence?" Dr. Ning Tang gives a PCP’s perspective on how outpatient providers can greatly facilitate our common goal of optimizing patients’ transition from hospital to home (J. Hosp. Med. 2013;8:472-7). After all, most of our patients do have a PCP, who has known them for a long time and who will have much more insight into their values and support systems, their idiosyncrasies, what they will and won’t follow through on, and even their pet peeves. When we who may interact with them for only a couple of hours try to use a cookie-cutter approach to care, it simply may not be received well, if at all.
Dr. Tang suggests that PCP communication begins at the point of admission. While some ERs and admissions offices have automated systems in place to contact PCPs when their patients are admitted, for most of us, this communication comes by way of a phone call or as an electronic or faxed copy of the admission note. While I do not think anyone would argue that early involvement by the PCP has a tremendous potential to improve both the patient’s transition from home into the hospital and vice versa, in real life doctors are frequently too busy and stressed to meet this basic expectation. Hopefully that will change in the future.
Some PCPs have no desire to talk with a hospitalist each time a patient is admitted because it takes them away from seeing patients in their office. Yet others would welcome the opportunity for early involvement. It is an individual preference, one we should strive to understand in order to optimize our patients’ experience – and the experience of the physician who has entrusted patients to us.
Medication reconciliation is but the tip of the iceberg of issues the PCP could assist with, and the realization that their patient may not actually be taking all the medications they prescribed (or taking medications they didn’t) can help improve the level of care patients receive once discharged.
In the midst of brutal day, we have all had medication nightmares that make us cringe, as we slowly count to three while practicing deep-breathing exercises. You know, the patient who pulls out a crumpled list of medications. Some have been crossed out and others are too illegible to read. Then, the spouse pulls out another "updated" list, and the physician and pharmacist each have their own list, and no two lists are exactly alike.
But these nightmares could soon end. I was surprised to find out that in January of this year, the Centers for Medicare and Medicaid Services introduced new codes to reimburse primary care providers for care coordination after hospital discharge. These codes, 99495 and 99496 reimburse a substantial fee, carrying weights of 3.96 and 5.81 RVUs (relative value units), respectively, a lot more than we typically make for even an extended history and physical.
So, I have to agree with Dr. Tang. We, PCPs and hospitalists alike, are missing a huge potential to optimize care transitions, decrease our readmission rate, and lower medical costs. Dialogue needs to take place between hospitalist and the PCPs they serve to bridge some of these gaps.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center who has a passion for empowering patients to partner in their health care. She is the creator of the Patient Whiz, a patient-engagement app for iOS.
We as hospitalists have been missing a huge piece of the puzzle when it comes to readmissions. With such a huge push to reduce the readmission rate at our hospitals and avoid the resultant penalties, have we been too internally focused?
In a recent article in, titled, "A primary care physician’s ideal transitions of care – where’s the evidence?" Dr. Ning Tang gives a PCP’s perspective on how outpatient providers can greatly facilitate our common goal of optimizing patients’ transition from hospital to home (J. Hosp. Med. 2013;8:472-7). After all, most of our patients do have a PCP, who has known them for a long time and who will have much more insight into their values and support systems, their idiosyncrasies, what they will and won’t follow through on, and even their pet peeves. When we who may interact with them for only a couple of hours try to use a cookie-cutter approach to care, it simply may not be received well, if at all.
Dr. Tang suggests that PCP communication begins at the point of admission. While some ERs and admissions offices have automated systems in place to contact PCPs when their patients are admitted, for most of us, this communication comes by way of a phone call or as an electronic or faxed copy of the admission note. While I do not think anyone would argue that early involvement by the PCP has a tremendous potential to improve both the patient’s transition from home into the hospital and vice versa, in real life doctors are frequently too busy and stressed to meet this basic expectation. Hopefully that will change in the future.
Some PCPs have no desire to talk with a hospitalist each time a patient is admitted because it takes them away from seeing patients in their office. Yet others would welcome the opportunity for early involvement. It is an individual preference, one we should strive to understand in order to optimize our patients’ experience – and the experience of the physician who has entrusted patients to us.
Medication reconciliation is but the tip of the iceberg of issues the PCP could assist with, and the realization that their patient may not actually be taking all the medications they prescribed (or taking medications they didn’t) can help improve the level of care patients receive once discharged.
In the midst of brutal day, we have all had medication nightmares that make us cringe, as we slowly count to three while practicing deep-breathing exercises. You know, the patient who pulls out a crumpled list of medications. Some have been crossed out and others are too illegible to read. Then, the spouse pulls out another "updated" list, and the physician and pharmacist each have their own list, and no two lists are exactly alike.
But these nightmares could soon end. I was surprised to find out that in January of this year, the Centers for Medicare and Medicaid Services introduced new codes to reimburse primary care providers for care coordination after hospital discharge. These codes, 99495 and 99496 reimburse a substantial fee, carrying weights of 3.96 and 5.81 RVUs (relative value units), respectively, a lot more than we typically make for even an extended history and physical.
So, I have to agree with Dr. Tang. We, PCPs and hospitalists alike, are missing a huge potential to optimize care transitions, decrease our readmission rate, and lower medical costs. Dialogue needs to take place between hospitalist and the PCPs they serve to bridge some of these gaps.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center who has a passion for empowering patients to partner in their health care. She is the creator of the Patient Whiz, a patient-engagement app for iOS.
Ethnic Differences in Hospice Enrollment
Studies have documented the persisting lower rates of hospice enrollment among ethnic minority groups.[1, 2] Given the positive outcomes related to hospice enrollment,[3] investigating interventions that may reduce these disparities is critical.
Inpatient palliative care (IPC) programs were developed to improve pain and symptom management, provide patients with holistic and comprehensive prognosis and treatment options, and help patient and families clarify goals of care.[4] Although significant evidence of IPC program effectiveness in improving patient outcomes exists,[5] studies have not examined the ability of IPC programs to diminish ethnic disparities in access to hospice. We conducted a retrospective cohort study to determine if ethnic differences in hospice enrollment are experienced among patients following receipt of IPC consultation.
METHODS
A retrospective study was conducted in a nonprofit health maintenance organization medical center. The sample included seriously ill patients aged 65 years and over who received an IPC consultation and survived to hospital discharge. Data were collected from IPC databases, IPC consultation checklist (which included recording of code status discussion), and electronic medical records. The IPC team recorded discharge disposition including discharge to hospice care, home‐based palliative care (a standard program similar to hospice but offered for patients with an estimated prognosis of 1 year or less and without the caveat of foregoing curative care),[6] home with home healthcare, nursing facility, and home with standard outpatient care. Ethnicity was collected via patient report.
2 and t tests were conducted to compare those admitted to hospice with those who were not. We used logistic regression to determine the effects of ethnicity on enrollment in hospice, adjusting for demographics and clinical factors. We conducted analysis using IBM SPSS 19 (IBM, Armonk, NY).
FINDINGS
From 2007 to 2009, 408 patients received IPC consults and were subsequently discharged from the hospital. Forty‐four had missing data on ethnicity or discharge disposition, leaving 364 in the analytic sample. The mean age was 80.1 years (standard deviation [SD]=8.2), and 48.9% were female. The sample was diverse; 42.6% were white, 25.5% Latino, 23.1% black, and 8.8% of other ethnic background. Primary diagnosis included cancer (33.8%), congestive heart failure (CHF) (17.4%), coronary artery disease (12.6%), dementia (12.4%), chronic obstructive pulmonary disease (6%), cerebral vascular accident (CVA) (5.2%), and other conditions (13.6%). More than half (57.7%) were discharged to hospice, 15.4% to home‐based palliative care,[6] 14.6% to a nursing facility, 8.2% to home with usual outpatient care, and 4.1% to home with home healthcare. Code status was discussed by the IPC team among 81% of the patients, with no difference between ethnic groups.
Those discharged to hospice were older (80.8, SD=8.4 vs 79.1, SD=7.8), more likely to have cancer (71.5%) or CVA (79.5%) and less likely to have end stage renal disease (28.6%) or CHF (39%), and more likely to have had a code discussion (85.8%). There were no differences between hospice users and nonusers in gender, marital status, ethnicity, and number of chronic conditions (Table 1).
Variable | All, N=364 | Hospice Users, n=210 | Nonhospice Users, n=154 | P Value |
---|---|---|---|---|
| ||||
Age, y, mean (SD) | 80.1 (8.2) | 80.8 (8.4) | 79.1 (7.8) | 0.049 |
Gender (female), % | 48.9 | 56.2 | 43.8 | 0.568 |
Ethnicity, % | 0.702 | |||
White | 42.6 | 43.3 | 41.6 | |
Latino | 25.5 | 27.1 | 23.4 | |
African American | 23.1 | 21.4 | 25.3 | |
Other | 8.8 | 8.1 | 9.7 | |
Marital status, % | 0.809 | |||
Married | 45.6 | 43.8 | 48.1 | |
Widowed | 36.0 | 38.1 | 33.1 | |
Divorced | 7.7 | 7.6 | 7.8 | |
Other | 7.7 | 7.6 | 7.8 | |
Missing | 3.0 | 2.9 | 3.2 | |
Diagnosis, % | <0.001 | |||
Cancer | 33.8 | 42.1 | 22.9 | |
CHF | 16.2 | 11.0 | 23.5 | |
CAD | 12.6 | 12.4 | 13.1 | |
Dementia | 12.4 | 12.4 | 12.4 | |
COPD | 6.0 | 5.3 | 7.2 | |
CVA | 5.2 | 7.2 | 2.6 | |
Other | 13.6 | 9.6 | 18.3 | |
Number of chronic conditions, mean (SD) | 1.0 | 1.7 (0.8) | 1.7 (0.9) | 0.949 |
Code status discussed, % | 81.1 | 87.0 | 72.8 | 0.001 |
Significant differences between hospice users and nonusers were controlled in a regression adjusting for age, gender, marital status, and number of chronic conditions. Compared to whites, no significant differences in hospice use were found for blacks (odds ratio [OR]: 0.67; 95% confidence interval [CI]: 0.37‐1.21), Latinos (OR: 1.24; 95% CI: 0.68‐2.25), or other ethnic groups (OR: 0.78; 95% CI: 0.34‐1.56). Compared with other diagnoses, those with cancer (OR: 3.66; 95% CI: 1.77‐7.59) and older patients (OR: 1.05; 95% CI: 1.01‐1.08) were significantly more likely to receive hospice care following IPC consult. Those discussing code status were twice as likely to be discharged to hospice (OR: 2.14; 95% CI: 1.20‐3.79).
DISCUSSION
This study found similar rates of hospice enrollment following IPC consult among Latinos, blacks, and other ethnic groups as compared with whites. Others found comparable rates of advance directive completion between whites and African Americans following IPC consultation,[7]and that IPC intensity resulting in a plan of care was highly associated with receipt of hospice care.[8] Likewise, our study found that discussion of code status, another marker of intensity, was positively associated with hospice use.
Our findings among patients receiving IPC consultation contrast with previous studies examining ethnic variation in hospice use among general samples of decedents. A study of California dual eligibles found that blacks were 26% and Asians 34% less likely than whites to use hospice. Others have found similar results among patients with CHF and lung cancer.[9, 10]
Misconceptions and lack of awareness, knowledge, and trust in healthcare providers serve as barriers to hospice care for minorities.[11, 12] IPC consultations may overcome these barriers by discussing goals of care including discussing the condition, eliciting patient/family understanding of the condition, and presenting options for code status.
This study employed a single‐cohort design without a comparison group. It was conducted within a health maintenance organization with strong hospice and palliative care programs and may not represent other settings. Nevertheless, this study provides promise for IPC consultation to increase equitable access to hospice care among minority groups. Further studies are needed to confirm the preliminary findings reported here.
Disclosures: Supported in part by a career development award from the National Palliative Care Research Center and by a grant from the Archstone Foundation. Evie Vesper and Dr. Rebecca Goldstein were employees of the healthcare organization at the time of the study. Susan Enguidanos received compensation for project evaluation during the original study. The sponsors had no role in the design, implementation, or analysis of the study. The authors report no conflicts of interest.
- Ethnic variation in site of death among Medicaid/Medicare dually eligible older adults. J Am Geriatr Soc. 2005;53(8):1411–1416. , , .
- Racial/ethnic disparities in hospice care: a systematic review. J Palliat Med. 2008;11(5):763–768. .
- The Medicare hospice benefit: 15 years of success. J Palliat Med. 1998;1(2):139–146. .
- Palliative care in hospitals. J Hosp Med. 2006;1(1):21–28. .
- Impact of an inpatient palliative care team: a randomized control trial. J Palliat Med. 2008;11(2):180–190. , , , et al.
- Increased satisfaction with care and lower costs: results of a randomized trial of in‐home palliative care. J Am Geriatr Soc. 2007;55(7):993–1000. , , , et al.
- Ethnicity, race, and advance directives in an inpatient palliative care consultation service. Palliat Support Care. 2012;6(1):1–7. , , , et al.
- Hospice referrals and code status: outcomes of inpatient palliative care consultations among Asian Americans and Pacific Islanders with cancer. J Pain Symptom Manage. 2011;42(4):557–564. , , .
- Racial differences in hospice use and patterns of care after enrollment in hospice among Medicare beneficiaries with heart failure. Am Heart J. 2012;163(6):987–993. , , , , .
- Racial disparities in length of stay in hospice care by tumor stage in a large elderly cohort with non‐small cell lung cancer. Palliat Med. 2012;26(1):61–71. , , , et al.
- Knowledge, attitudes and beliefs about end‐of‐life care among inner‐city African Americans and Latino/Hispanic Americans. J Palliat Med. 2004;7(2):247–256. , , , , .
- Does caregiver knowledge matter for hospice enrollment and beyond? Pilot study of minority hospice patients. Am J Hospice Palliat Med. 2009;26(3):165–171. , , .
Studies have documented the persisting lower rates of hospice enrollment among ethnic minority groups.[1, 2] Given the positive outcomes related to hospice enrollment,[3] investigating interventions that may reduce these disparities is critical.
Inpatient palliative care (IPC) programs were developed to improve pain and symptom management, provide patients with holistic and comprehensive prognosis and treatment options, and help patient and families clarify goals of care.[4] Although significant evidence of IPC program effectiveness in improving patient outcomes exists,[5] studies have not examined the ability of IPC programs to diminish ethnic disparities in access to hospice. We conducted a retrospective cohort study to determine if ethnic differences in hospice enrollment are experienced among patients following receipt of IPC consultation.
METHODS
A retrospective study was conducted in a nonprofit health maintenance organization medical center. The sample included seriously ill patients aged 65 years and over who received an IPC consultation and survived to hospital discharge. Data were collected from IPC databases, IPC consultation checklist (which included recording of code status discussion), and electronic medical records. The IPC team recorded discharge disposition including discharge to hospice care, home‐based palliative care (a standard program similar to hospice but offered for patients with an estimated prognosis of 1 year or less and without the caveat of foregoing curative care),[6] home with home healthcare, nursing facility, and home with standard outpatient care. Ethnicity was collected via patient report.
2 and t tests were conducted to compare those admitted to hospice with those who were not. We used logistic regression to determine the effects of ethnicity on enrollment in hospice, adjusting for demographics and clinical factors. We conducted analysis using IBM SPSS 19 (IBM, Armonk, NY).
FINDINGS
From 2007 to 2009, 408 patients received IPC consults and were subsequently discharged from the hospital. Forty‐four had missing data on ethnicity or discharge disposition, leaving 364 in the analytic sample. The mean age was 80.1 years (standard deviation [SD]=8.2), and 48.9% were female. The sample was diverse; 42.6% were white, 25.5% Latino, 23.1% black, and 8.8% of other ethnic background. Primary diagnosis included cancer (33.8%), congestive heart failure (CHF) (17.4%), coronary artery disease (12.6%), dementia (12.4%), chronic obstructive pulmonary disease (6%), cerebral vascular accident (CVA) (5.2%), and other conditions (13.6%). More than half (57.7%) were discharged to hospice, 15.4% to home‐based palliative care,[6] 14.6% to a nursing facility, 8.2% to home with usual outpatient care, and 4.1% to home with home healthcare. Code status was discussed by the IPC team among 81% of the patients, with no difference between ethnic groups.
Those discharged to hospice were older (80.8, SD=8.4 vs 79.1, SD=7.8), more likely to have cancer (71.5%) or CVA (79.5%) and less likely to have end stage renal disease (28.6%) or CHF (39%), and more likely to have had a code discussion (85.8%). There were no differences between hospice users and nonusers in gender, marital status, ethnicity, and number of chronic conditions (Table 1).
Variable | All, N=364 | Hospice Users, n=210 | Nonhospice Users, n=154 | P Value |
---|---|---|---|---|
| ||||
Age, y, mean (SD) | 80.1 (8.2) | 80.8 (8.4) | 79.1 (7.8) | 0.049 |
Gender (female), % | 48.9 | 56.2 | 43.8 | 0.568 |
Ethnicity, % | 0.702 | |||
White | 42.6 | 43.3 | 41.6 | |
Latino | 25.5 | 27.1 | 23.4 | |
African American | 23.1 | 21.4 | 25.3 | |
Other | 8.8 | 8.1 | 9.7 | |
Marital status, % | 0.809 | |||
Married | 45.6 | 43.8 | 48.1 | |
Widowed | 36.0 | 38.1 | 33.1 | |
Divorced | 7.7 | 7.6 | 7.8 | |
Other | 7.7 | 7.6 | 7.8 | |
Missing | 3.0 | 2.9 | 3.2 | |
Diagnosis, % | <0.001 | |||
Cancer | 33.8 | 42.1 | 22.9 | |
CHF | 16.2 | 11.0 | 23.5 | |
CAD | 12.6 | 12.4 | 13.1 | |
Dementia | 12.4 | 12.4 | 12.4 | |
COPD | 6.0 | 5.3 | 7.2 | |
CVA | 5.2 | 7.2 | 2.6 | |
Other | 13.6 | 9.6 | 18.3 | |
Number of chronic conditions, mean (SD) | 1.0 | 1.7 (0.8) | 1.7 (0.9) | 0.949 |
Code status discussed, % | 81.1 | 87.0 | 72.8 | 0.001 |
Significant differences between hospice users and nonusers were controlled in a regression adjusting for age, gender, marital status, and number of chronic conditions. Compared to whites, no significant differences in hospice use were found for blacks (odds ratio [OR]: 0.67; 95% confidence interval [CI]: 0.37‐1.21), Latinos (OR: 1.24; 95% CI: 0.68‐2.25), or other ethnic groups (OR: 0.78; 95% CI: 0.34‐1.56). Compared with other diagnoses, those with cancer (OR: 3.66; 95% CI: 1.77‐7.59) and older patients (OR: 1.05; 95% CI: 1.01‐1.08) were significantly more likely to receive hospice care following IPC consult. Those discussing code status were twice as likely to be discharged to hospice (OR: 2.14; 95% CI: 1.20‐3.79).
DISCUSSION
This study found similar rates of hospice enrollment following IPC consult among Latinos, blacks, and other ethnic groups as compared with whites. Others found comparable rates of advance directive completion between whites and African Americans following IPC consultation,[7]and that IPC intensity resulting in a plan of care was highly associated with receipt of hospice care.[8] Likewise, our study found that discussion of code status, another marker of intensity, was positively associated with hospice use.
Our findings among patients receiving IPC consultation contrast with previous studies examining ethnic variation in hospice use among general samples of decedents. A study of California dual eligibles found that blacks were 26% and Asians 34% less likely than whites to use hospice. Others have found similar results among patients with CHF and lung cancer.[9, 10]
Misconceptions and lack of awareness, knowledge, and trust in healthcare providers serve as barriers to hospice care for minorities.[11, 12] IPC consultations may overcome these barriers by discussing goals of care including discussing the condition, eliciting patient/family understanding of the condition, and presenting options for code status.
This study employed a single‐cohort design without a comparison group. It was conducted within a health maintenance organization with strong hospice and palliative care programs and may not represent other settings. Nevertheless, this study provides promise for IPC consultation to increase equitable access to hospice care among minority groups. Further studies are needed to confirm the preliminary findings reported here.
Disclosures: Supported in part by a career development award from the National Palliative Care Research Center and by a grant from the Archstone Foundation. Evie Vesper and Dr. Rebecca Goldstein were employees of the healthcare organization at the time of the study. Susan Enguidanos received compensation for project evaluation during the original study. The sponsors had no role in the design, implementation, or analysis of the study. The authors report no conflicts of interest.
Studies have documented the persisting lower rates of hospice enrollment among ethnic minority groups.[1, 2] Given the positive outcomes related to hospice enrollment,[3] investigating interventions that may reduce these disparities is critical.
Inpatient palliative care (IPC) programs were developed to improve pain and symptom management, provide patients with holistic and comprehensive prognosis and treatment options, and help patient and families clarify goals of care.[4] Although significant evidence of IPC program effectiveness in improving patient outcomes exists,[5] studies have not examined the ability of IPC programs to diminish ethnic disparities in access to hospice. We conducted a retrospective cohort study to determine if ethnic differences in hospice enrollment are experienced among patients following receipt of IPC consultation.
METHODS
A retrospective study was conducted in a nonprofit health maintenance organization medical center. The sample included seriously ill patients aged 65 years and over who received an IPC consultation and survived to hospital discharge. Data were collected from IPC databases, IPC consultation checklist (which included recording of code status discussion), and electronic medical records. The IPC team recorded discharge disposition including discharge to hospice care, home‐based palliative care (a standard program similar to hospice but offered for patients with an estimated prognosis of 1 year or less and without the caveat of foregoing curative care),[6] home with home healthcare, nursing facility, and home with standard outpatient care. Ethnicity was collected via patient report.
2 and t tests were conducted to compare those admitted to hospice with those who were not. We used logistic regression to determine the effects of ethnicity on enrollment in hospice, adjusting for demographics and clinical factors. We conducted analysis using IBM SPSS 19 (IBM, Armonk, NY).
FINDINGS
From 2007 to 2009, 408 patients received IPC consults and were subsequently discharged from the hospital. Forty‐four had missing data on ethnicity or discharge disposition, leaving 364 in the analytic sample. The mean age was 80.1 years (standard deviation [SD]=8.2), and 48.9% were female. The sample was diverse; 42.6% were white, 25.5% Latino, 23.1% black, and 8.8% of other ethnic background. Primary diagnosis included cancer (33.8%), congestive heart failure (CHF) (17.4%), coronary artery disease (12.6%), dementia (12.4%), chronic obstructive pulmonary disease (6%), cerebral vascular accident (CVA) (5.2%), and other conditions (13.6%). More than half (57.7%) were discharged to hospice, 15.4% to home‐based palliative care,[6] 14.6% to a nursing facility, 8.2% to home with usual outpatient care, and 4.1% to home with home healthcare. Code status was discussed by the IPC team among 81% of the patients, with no difference between ethnic groups.
Those discharged to hospice were older (80.8, SD=8.4 vs 79.1, SD=7.8), more likely to have cancer (71.5%) or CVA (79.5%) and less likely to have end stage renal disease (28.6%) or CHF (39%), and more likely to have had a code discussion (85.8%). There were no differences between hospice users and nonusers in gender, marital status, ethnicity, and number of chronic conditions (Table 1).
Variable | All, N=364 | Hospice Users, n=210 | Nonhospice Users, n=154 | P Value |
---|---|---|---|---|
| ||||
Age, y, mean (SD) | 80.1 (8.2) | 80.8 (8.4) | 79.1 (7.8) | 0.049 |
Gender (female), % | 48.9 | 56.2 | 43.8 | 0.568 |
Ethnicity, % | 0.702 | |||
White | 42.6 | 43.3 | 41.6 | |
Latino | 25.5 | 27.1 | 23.4 | |
African American | 23.1 | 21.4 | 25.3 | |
Other | 8.8 | 8.1 | 9.7 | |
Marital status, % | 0.809 | |||
Married | 45.6 | 43.8 | 48.1 | |
Widowed | 36.0 | 38.1 | 33.1 | |
Divorced | 7.7 | 7.6 | 7.8 | |
Other | 7.7 | 7.6 | 7.8 | |
Missing | 3.0 | 2.9 | 3.2 | |
Diagnosis, % | <0.001 | |||
Cancer | 33.8 | 42.1 | 22.9 | |
CHF | 16.2 | 11.0 | 23.5 | |
CAD | 12.6 | 12.4 | 13.1 | |
Dementia | 12.4 | 12.4 | 12.4 | |
COPD | 6.0 | 5.3 | 7.2 | |
CVA | 5.2 | 7.2 | 2.6 | |
Other | 13.6 | 9.6 | 18.3 | |
Number of chronic conditions, mean (SD) | 1.0 | 1.7 (0.8) | 1.7 (0.9) | 0.949 |
Code status discussed, % | 81.1 | 87.0 | 72.8 | 0.001 |
Significant differences between hospice users and nonusers were controlled in a regression adjusting for age, gender, marital status, and number of chronic conditions. Compared to whites, no significant differences in hospice use were found for blacks (odds ratio [OR]: 0.67; 95% confidence interval [CI]: 0.37‐1.21), Latinos (OR: 1.24; 95% CI: 0.68‐2.25), or other ethnic groups (OR: 0.78; 95% CI: 0.34‐1.56). Compared with other diagnoses, those with cancer (OR: 3.66; 95% CI: 1.77‐7.59) and older patients (OR: 1.05; 95% CI: 1.01‐1.08) were significantly more likely to receive hospice care following IPC consult. Those discussing code status were twice as likely to be discharged to hospice (OR: 2.14; 95% CI: 1.20‐3.79).
DISCUSSION
This study found similar rates of hospice enrollment following IPC consult among Latinos, blacks, and other ethnic groups as compared with whites. Others found comparable rates of advance directive completion between whites and African Americans following IPC consultation,[7]and that IPC intensity resulting in a plan of care was highly associated with receipt of hospice care.[8] Likewise, our study found that discussion of code status, another marker of intensity, was positively associated with hospice use.
Our findings among patients receiving IPC consultation contrast with previous studies examining ethnic variation in hospice use among general samples of decedents. A study of California dual eligibles found that blacks were 26% and Asians 34% less likely than whites to use hospice. Others have found similar results among patients with CHF and lung cancer.[9, 10]
Misconceptions and lack of awareness, knowledge, and trust in healthcare providers serve as barriers to hospice care for minorities.[11, 12] IPC consultations may overcome these barriers by discussing goals of care including discussing the condition, eliciting patient/family understanding of the condition, and presenting options for code status.
This study employed a single‐cohort design without a comparison group. It was conducted within a health maintenance organization with strong hospice and palliative care programs and may not represent other settings. Nevertheless, this study provides promise for IPC consultation to increase equitable access to hospice care among minority groups. Further studies are needed to confirm the preliminary findings reported here.
Disclosures: Supported in part by a career development award from the National Palliative Care Research Center and by a grant from the Archstone Foundation. Evie Vesper and Dr. Rebecca Goldstein were employees of the healthcare organization at the time of the study. Susan Enguidanos received compensation for project evaluation during the original study. The sponsors had no role in the design, implementation, or analysis of the study. The authors report no conflicts of interest.
- Ethnic variation in site of death among Medicaid/Medicare dually eligible older adults. J Am Geriatr Soc. 2005;53(8):1411–1416. , , .
- Racial/ethnic disparities in hospice care: a systematic review. J Palliat Med. 2008;11(5):763–768. .
- The Medicare hospice benefit: 15 years of success. J Palliat Med. 1998;1(2):139–146. .
- Palliative care in hospitals. J Hosp Med. 2006;1(1):21–28. .
- Impact of an inpatient palliative care team: a randomized control trial. J Palliat Med. 2008;11(2):180–190. , , , et al.
- Increased satisfaction with care and lower costs: results of a randomized trial of in‐home palliative care. J Am Geriatr Soc. 2007;55(7):993–1000. , , , et al.
- Ethnicity, race, and advance directives in an inpatient palliative care consultation service. Palliat Support Care. 2012;6(1):1–7. , , , et al.
- Hospice referrals and code status: outcomes of inpatient palliative care consultations among Asian Americans and Pacific Islanders with cancer. J Pain Symptom Manage. 2011;42(4):557–564. , , .
- Racial differences in hospice use and patterns of care after enrollment in hospice among Medicare beneficiaries with heart failure. Am Heart J. 2012;163(6):987–993. , , , , .
- Racial disparities in length of stay in hospice care by tumor stage in a large elderly cohort with non‐small cell lung cancer. Palliat Med. 2012;26(1):61–71. , , , et al.
- Knowledge, attitudes and beliefs about end‐of‐life care among inner‐city African Americans and Latino/Hispanic Americans. J Palliat Med. 2004;7(2):247–256. , , , , .
- Does caregiver knowledge matter for hospice enrollment and beyond? Pilot study of minority hospice patients. Am J Hospice Palliat Med. 2009;26(3):165–171. , , .
- Ethnic variation in site of death among Medicaid/Medicare dually eligible older adults. J Am Geriatr Soc. 2005;53(8):1411–1416. , , .
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