Abstract
Background
Reported penicillin allergy rarely reflects penicillin intolerance. Failure to address inpatient penicillin allergies results in more broad-spectrum antibiotic use, treatment failures, and adverse drug events.
Objective
We aimed to determine the optimal approach to penicillin allergies among medical inpatients.
Methods
We evaluated internal medicine inpatients reporting penicillin allergy in three periods: (1) standard of care (SOC), (2) penicillin skin testing (ST), and (3) computerized guideline application with decision support (APP). The primary outcome was use of a penicillin or cephalosporin, comparing interventions to SOC using multivariable logistic regression.
Results
There were 625 patients: SOC 148, ST 278, and APP 199. Of 278 ST patients, 179 (64%) were skin test eligible; 43 (24%) received testing and none were allergic. In the APP period, there were 292 unique website views; 112 users (38%) completed clinical decision support. While ST period patients did not have an increased odds of penicillin or cephalosporin use overall (aOR 1.3 [95% CI 0.8, 2.0]), we observed a significant increased odds of penicillin or cephalosporin use overall in the APP period (aOR 1.8 [95% CI 1.1, 2.9]), and in a per protocol analysis of the skin tested subset (aOR 5.7 [95% CI 2.6, 12.5]).
Conclusions
Both the computerized guideline with decision support and penicillin skin testing – when completed – increased use of penicillin and cephalosporin antibiotics among inpatients reporting penicillin allergy. While the skin tested subset showed an almost 6-fold impact, the computerized guideline significantly increased penicillin or cephalosporin use overall nearly 2-fold and was readily implemented.
Keywords: stewardship, skin test, test dose, decision support, computerized guideline
INTRODUCTION
Penicillin allergy is reported in up to 15% of inpatients and is associated with increased use of alternative antibiotics, including vancomycin, clindamycin, aminoglycosides, and aztreonam.1–4 Compared to beta-lactam antibiotics, these drugs are less effective in some clinical circumstances,5–8 more toxic,4,9 more costly,10,11 and generally cover a broader antimicrobial spectrum. When a beta-lactam antibiotic is the preferred inpatient antibiotic, but not administered due to alleged allergy, patients experience more treatment failures and adverse events.4,8 Patients reporting penicillin allergy have increased odds of antibiotic resistant organisms, such as methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus.12
Despite a reported penicillin allergy, more than 95% of patients evaluated for such allergy are found penicillin and cephalosporin tolerant.10,12–16 Therefore, active attention to clarifying old and inaccurate penicillin allergies is supported by various U.S. guidelines and agencies as an important feature of antimicrobial stewardship.17–20 Because the optimal approach to the evaluation and management of inpatient penicillin allergy is unknown, yet impacts a substantial number of patients per year, we implemented and assessed two healthcare delivery system innovations to improve antibiotic choice among medical inpatients reporting a history of penicillin allergy.
METHODS
Design Overview
We conducted a quasi-experimental study evaluating prospectively identified cohorts of internal medicine inpatients at the Brigham and Women’s Hospital (BWH). We sequentially evaluated three strategies: (1) BWH standard of care (SOC); (2) history-appropriate penicillin skin testing (ST), a process-based innovation; and (3) a computerized guideline application with clinical decision support, a technology-based innovation (APP). We compared antibiotic use in the intervention periods to the SOC period. This study was approved by the Partners Human Research Committee.
Study Population
A daily electronic tracker identified medical inpatients with a history of penicillin allergy prescribed one or more doses of any antimicrobial in all periods (Fig 1). Patient readmissions and patients not meriting treatment of a presumed infection were excluded. The latter exclusion comprised patients who did not receive therapeutic antibiotics in the first seven days of hospitalization, and those who received < 48 hours of antibiotic therapy, accounting for both discharge antibiotics and amended dosing frequency associated with renal dosing.21
Fig 1.
This flow chart demonstrates patient cohort identification. The care redesign team was notified prospectively if patients met initial criteria, including (1) internal medicine inpatient, (2) reported penicillin allergy, and (3) prescribed one or more antibiotic doses. From this cohort, we excluded readmissions and patients whose admission was not for treatment of an infection. Of 625 patients meeting these criteria, 148 were admitted in the standard of care period, 278 were admitted in the penicillin skin testing period, and 199 were admitted in the computerized guideline period.
Study Periods
BWH Standard of Care (SOC)
SOC was the comparison period when no active intervention was performed. SOC patient data were collected from June 9, 2014 through November 5, 2014. As an academic, tertiary care facility, BWH has an antibiotic stewardship program that restricts some broad-spectrum and costly antibiotics (e.g., linezolid, daptomycin). BWH also has a drug allergy program with inpatient Allergy/Immunology consultation and 24-hour on-call services. During SOC, all penicillin skin testing and test dose challenge22 procedures were performed only when referred by the primary team and deemed appropriate after Allergy/Immunology consultation (eMethods 1, Fig E1a).
Penicillin Skin Testing (ST)
The ST period began November 12, 2014, and continued through June 30, 2015. During the ST period, all tracker-identified patients were screened by the care redesign team for skin test eligibility. Patients ineligible for skin testing included patients with penicillin intolerances (e.g., gastrointestinal upset), patients taking medications that interfered with skin testing (e.g., antihistamines), and patients with multiple beta-lactam allergies, penicillin anaphylaxis in the last five years, or a type II–IV hypersensitivity reaction23 to penicillin. Skin testing was routinely intended for all skin test eligible patients, but required permission from the primary team, coordination of skin testing using a moonlighting pool of allergy trainees and nurses, and patient consent (eMethods 1, Fig E1b). Patients with both negative penicillin skin testing and tolerance of an oral amoxicillin test dose were deemed not allergic. The primary medical team and the patients were updated regarding changes in allergy status.
Computerized Guideline Application with Clinical Decision Support (APP)
After a five month study break due to a hospital-wide electronic health record conversion,24 the APP period ran from November 20, 2015 through June 13, 2016 (Fig E1c). A clinical pathway that guided beta-lactam antibiotic use in patients with listed penicillin allergy was previously developed, implemented, and assessed at an academic hospital affiliate (eMethods 2).5,25–27 The guideline empowered inpatient providers to group allergic reactions into hypersensitivity type, then recommended if and how specific beta-lactam antibiotics be used (i.e., very low risk: full doses; low risk: test doses; medium to high risk: Allergy/Immunology consultation; serious type II–IV hypersensitivity reactions: avoidance).
The previously studied pathway was adapted into a computerized guideline,28,29 a mobile-friendly website with optional clinical decision support, functionally similar to a smartphone application (eMethods 3). Due to the coincident electronic health record conversion at BWH, the computerized guideline was not integrated into the electronic health record, but remained a distinct clinical workflow. The guideline was accessible at any BWH desktop computer or mobile device on the secure intranet. Providers could access the pathway figures directly from the website and/or login to use clinical decision support. After decision support computed the patient’s likely allergic reaction type, it stratified the reaction into a risk category and displayed recommendations for further action (Fig E2). The website housed additional educational information and provider videos.
Data Collection
All patient data were collected from the electronic health record, with duplicative entry, initially by research assistants (NP, AEN), followed by internal medicine housestaff. Data were entered and maintained using Research Electronic Data Capture hosted at Partners HealthCare.30
Demographic Characteristics
Collected patient data included age, sex, race, admission date, discharge date, admission diagnosis, allergy history, intensive care unit stay and duration time, Infectious Diseases consultation, Allergy/Immunology consultation, history of colonization or infection with methicillin-resistant Staphylococcus aureus or vancomycin-resistant Enterococcus, renal disease, and overall length of stay. Two board-certified internists and allergists/immunologists (KGB, PGW) determined which admission diagnoses were related to an infection as well as which penicillin allergies were intolerances.
Intervention Uptake
In the ST period, we determined the frequency with which eligible patients completed skin testing. In the APP period, we tracked usage through reports from Google Analytics Solutions (website views) and clinical decision support responses.
Outcomes
The primary outcome was use of formulary unrestricted penicillins or cephalosporins (Table E2). Penicillin and cephalosporin use was identified through inpatient antibiotic administrations. Secondary outcomes included the proportion of patients discharged on a penicillin or cephalosporin antibiotic, inpatient use of alternative antibiotics, and resultant adverse drug reactions.
Penicillins and cephalosporins on BWH formulary were included; cephalosporins were grouped by generation for analysis. Because of the intent to improve antibiotic choice, we excluded penicillins and cephalosporins historically restricted by BWH’s antibiotic stewardship program, including piperacillin-tazobactam, ceftaroline, ceftolozane-tazobactam, and ceftazidime-avibactam. Alternative antibiotics included drugs that are potentially more toxic, less effective, more costly, and/or more broad-spectrum: vancomycin, clindamycin, daptomycin, linezolid, carbapenems, aztreonam, and aminoglycosides.
Balance Measure
We analyzed macrolide antibiotic utilization as a balance measure, given its use would not be expected to change as a result of interventions related to penicillin allergy evaluation.
Statistical Analysis
Study period duration and sample size were estimated in advance (eMethods 4). Pairwise study group comparisons were specified a priori. While the primary analysis between periods was an intention-to-treat analysis, we performed an additional secondary (per protocol) analysis for the ST period (ST-PP) to estimate the potential impact of this strategy if it were fully implemented. Demographic data were reported as medians with quartiles or as frequencies with percentages. Fisher’s exact tests were used to compare study groups for binary variables, and Wilcoxon rank sum tests were used for continuous variables. Racial differences among study groups were tested using the Freeman-Halton test. Logistic regression was used to test group differences, with unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (CI) presented. Selection of variables to include in multivariable models involved prior knowledge of association with outcome, and imbalance across the study duration. Nominal p-values were reported in this context of three a priori non-independent pair-wise group comparisons, considering 5% two-sided alpha. Statistical analyses were conducted using SAS 9.4 (SAS Institute Inc., Cary, NC, USA).
RESULTS
Cohort Characteristics
Of 1,000 medicine inpatients with a reported penicillin allergy prescribed one or more antibiotic dose, there were 780 unique patients and 625 unique patients admitted with a presumed infection across three periods: SOC 148, ST 278, and APP 199 (Fig 1).
Patient characteristics were largely balanced across periods, with a few exceptions (Table I). Compared to the SOC period, there were fewer females in the subset of patients skin tested (i.e., skin test per protocol analysis [ST-PP]), more patients with an admission diagnosis of infection in the ST and APP periods, more frequent Allergy/Immunology consultation in the ST period and in the ST-PP analysis, more frequent methicillin-resistant Staphylococcus aureus colonization in the ST and APP periods, and more reported cephalosporin allergies in the ST and APP periods.
Table I.
Cohort characteristics of medicine patients with reported penicillin allergy, requiring antibiotics over three periods (n= 625).
| Standard of Care (n=148) | Penicillin Skin Testing | Computerized Guideline/APP (n=199) | |||||
|---|---|---|---|---|---|---|---|
| All (n=278) | Per Protocol (n=43) | ||||||
| No (%) | No (%) | p value* | No (%) | p value* | No (%) | p value* | |
| Age (Med, IQR) | 64 [48,79] | 68 [54, 80] | 0.09 | 71 [52, 77] | 0.66 | 65 [52, 76] | 0.96 |
| Female sex | 97 (66) | 173 (62) | 0.53 | 21 (49) | 0.05 | 128 (64) | 0.82 |
| Race | 0.14 | 0.01 | 0.72 | ||||
| White | 109 (77) | 183(69) | 25 (61) | 143 (73) | |||
| Black | 23 (16) | 46 (17) | 6 (15) | 36 (18) | |||
| Hispanic | 6 (4) | 26 (10) | 7 (17) | 10 (5) | |||
| Other | 3 (2) | 11 (4) | 3 (7) | 8 (4) | |||
| Admission diagnosis of infection | 72 (49) | 163 (59) | 0.05 | 25 (58) | 0.30 | 124 (62) | 0.01 |
| Reported penicillin allergy history† | |||||||
| Rash or hives | 79 (53) | 149 (54) | >0.99 | 28 (65) | 0.22 | 108 (54) | 0.91 |
| Angioedema‡ | 17 (11) | 27 (10) | 0.62 | 11 (26) | 0.03 | 14 (7) | 0.18 |
| Anaphylaxis | 12 (8) | 22 (8) | >0.99 | 4 (9) | 0.76 | 17 (9) | >0.99 |
| Shortness of breath| | 2 (1) | 7 (3) | 0.73 | 2 (5) | 0.22 | 6 (3) | 0.49 |
| Unknown history | 26 (18) | 65 (23) | 0.17 | 6 (14) | 0.65 | 35 (18) | >0.99 |
| Intolerance only | 11 (7) | 15 (5) | 0.40 | 1 (2) | 0.30 | 16 (8) | >0.99 |
| ICU Stay > 24 hours | 23 (16) | 37 (13) | 0.56 | 3 (7) | 0.21 | 27 (14) | 0.64 |
| Infectious Diseases consultation | 43 (29) | 78 (28) | 0.82 | 11 (26) | 0.71 | 55 (28) | 0.81 |
| Allergy/Immunology consultation | 6 (4) | 21 (8) | 0.21 | 6 (14) | 0.03 | 8 (4) | >0.99 |
| Penicillin skin test | 2 (1) | 43 (16) | <0.001 | 43 (100) | <0.001 | 5 (3) | 0.70 |
| Resistant organism history | |||||||
| MRSA colonization | 9 (6) | 36 (13) | 0.03 | 1 (2) | 0.46 | 32 (16) | 0.004 |
| VRE colonization | 9 (6) | 25 (9) | 0.35 | 1 (2) | 0.46 | 15 (8) | 0.67 |
| Renal disease | 45 (30) | 96 (35) | 0.45 | 13 (30) | >0.99 | 74 (37) | 0.21 |
| Other reported antibiotic allergies | |||||||
| Cephalosporins | 1 (0.7) | 42 (15) | <0.001 | 3 (7) | 0.04 | 35 (18) | <0.001 |
| Sulfonamides | 30 (20) | 70 (25) | 0.28 | 8 (19) | >0.99 | 54 (27) | 0.16 |
| Fluoroquinolones | 21 (14) | 28 (10) | 0.21 | 3 (7) | 0.30 | 31 (16) | 0.76 |
| Vancomycin | 7 (5) | 14 (5) | >0.99 | 0 (0) | 0.35 | 12 (6) | 0.64 |
| Macrolides | 18 (12) | 26 (9) | 0.40 | 3 (7) | 0.42 | 20 (10) | 0.60 |
| Length of stay | 5 [3,8] | 5 [3,8] | 0.61 | 5 [4,8] | 0.91 | 5 [3,9] | 0.61 |
Fisher’s exact test or Wilcoxon Rank Sum test between innovations and standard of care.
Records may contain more than one description or reaction of clinical feature of drug allergy history.
Includes swelling.
Includes bronchospasm.
Median time from patient admission to penicillin skin test was 2.0 days [IQR 1.0, 3.0 days] in the Skin Testing period and 3.0 days [IQR 2.0, 4.0 days] in the Computerized Guideline/APP period. Neither median times were significantly different from the median time in the Standard of Care period (2.0 days [IQR 1.0, 3.0 days], p=0.80 and p=0.48 respectively).
Abbreviations: ICU, intensive care unit; MRSA, methicillin-resistant Staphylococcus aureus; VRE, vancomycin-resistant Enterococcus
Intervention Uptake
Among 278 patients in the ST period, 179 (64%) were skin test eligible. Of 43 (24%) patients skin tested, none were allergic (Fig 2). There were 2,802 webpage views in the APP period, with 292 unique page views lasting 26 seconds on average (Table E1). There were 112 unique users who completed decision support.
Fig 2.
This flow chart includes all penicillin skin testing period patients. Of 278 patients in the skin testing period, 179 patients were eligible for skin testing. Of the 179 patients for whom skin testing was intended, 43 patients completed penicillin skin testing, and none were allergic.
Primary Outcome, Inpatient Penicillin or Cephalosporin Use
Of 148 patients in the SOC period, 56 (38%) were treated with a penicillin or cephalosporin (Table II). Of 278 patients in ST period, 116 (42%) were treated with a penicillin or cephalosporin antibiotic. Of 43 ST-PP patients, 31 (72%) of patients were treated with a penicillin or cephalosporin antibiotic. Of 199 patients in the APP period, 99 (50%) were treated with a penicillin or cephalosporin antibiotic; treated patients received the penicillins and/or cephalosporins after negative penicillin skin testing (n=5, 5%) or directly with a test dose or full dose challenge (n=94, 95%).
Table II.
The impact of interventions on antibiotic use over three periods.
| Standard of Care (n=148) | Penicillin Skin Testing | Computerized Guideline/APP (n=199) | |||||
|---|---|---|---|---|---|---|---|
| All (n=278) | Per Protocol (n=43) | ||||||
| No (%) | No (%) | p value* | No (%) | p value* | No (%) | p value* | |
| Penicillin and cephalosporin antibiotics† | |||||||
| Inpatient use | |||||||
| Penicillins or cephalosporins | 56 (38)‡ | 116 (42)§ | 0.47 | 31 (72)| | <0.001 | 99 (50)¶ | 0.03 |
| Penicillins | 7 (5) | 14 (5) | >0.99 | 6 (14) | 0.08 | 11 (6) | 0.81 |
| Cephalosporins (1st or 2nd) | 6 (4) | 12 (4) | >0.99 | 5(12) | 0.07 | 13 (7) | 0.35 |
| Cephalosporins (3rd or 4th) | 47 (32) | 102 (37) | 0.34 | 27 (63) | <0.001 | 86 (43) | 0.03 |
| Discharge Use | |||||||
| Penicillins or cephalosporins | 24 (16) | 33 (12) | 0.23 | 11 (26) | 0.18 | 34 (17) | 0.88 |
| Penicillins | 5 (3) | 9 (3) | >0.99 | 5 (12) | 0.05 | 7 (4) | >0.99 |
| Cephalosporins (1st or 2nd) | 5 (3) | 8 (3) | 0.77 | 3 (7) | 0.38 | 9 (5) | 0.78 |
| Cephalosporins (3rd or 4th) | 15 (10) | 16 (6) | 0.12 | 3 (7) | 0.77 | 18 (9) | 0.85 |
| Alternative antibiotics** | |||||||
| Inpatient use | 74 (50) | 148 (53) | 0.54 | 26 (60) | 0.30 | 109 (55) | 0.39 |
Fisher’s exact test p values compare the intervention periods to the standard of care period.
Excludes piperacillin-tazobactam, ceftaroline, ceftolozane-tazobactam and ceftazidime-avibactam (see methods).
Penicillin or cephalosporin-treated patients received a median of 5.5 [IQR 3.0, 10.5] doses.
Penicillin or cephalosporin-treated patients received a median of 5.0 [IQR 2.0, 7.0] doses.
Penicillin or cephalosporin-treated patients received a median of 5.0 [IQR 2.0, 11.0] doses.
Penicillin or cephalosporin-treated patients received a median of 6.0 [IQR 2.0, 8.0] doses.
Includes vancomycin, clindamycin, aztreonam, daptomycin, linezolid, carbapenems, and aminoglycosides (see methods).
In univariable analyses compared to SOC, penicillin or cephalosporin use was similar in the ST period overall (p=0.44), but greater in the ST-PP analysis (p<0.001) and overall in the APP period (p=0.03). In the multivariable logistic regression model, patients in the ST period did not have a significant increased odds of receiving a penicillin or cephalosporin (aOR 1.3 [95% CI 0.8, 2.0], Table III). ST-PP patients had increased odds of receiving a penicillin or cephalosporin, with an adjusted OR 5.7 [95% CI 2.6, 12.5]. APP period patients had increased odds of receiving a penicillin or cephalosporin, with an adjusted OR 1.8 [95% CI 1.1, 2.9].
Table III.
The impact of innovations on use of penicillin or cephalosporin antibiotics in unadjusted and adjusted analyses.
| Unadjusted Analysis* | Adjusted Analysis* | |||||
|---|---|---|---|---|---|---|
| Skin Testing | Skin Testing Per Protocol | ComputerizedGu ideline/APP | Skin Testing | Skin Testing Per Protocol‡ | ComputerizedGuideline/APP† | |
| Inpatient Penicillin or Cephalosporin | 1.2 [0.8, 1.8] | 4.2 [2.0, 8.9]| | 1.6 [1.1, 2.5]§ | 1.3 [0.8, 2.0] | 5.7 [2.6, 12.5]| | 1.8 [1.1, 2.9]¶ |
|
| ||||||
| Discharge Use Penicillin or Cephalosporin | 0.7 [0.4, 1.2] | 1.8 [0.8, 4.0] | 1.1 [0.6, 1.9] | 0.7 [0.4, 1.3] | 2.5 [1.04, 6.2]** | 1.0 [0.6, 1.9] |
|
| ||||||
| Inpatient Use of Alternative Antibiotics | 1.1 [0.8, 1.7] | 1.5 [0.8, 3.1] | 1.2 [0.8, 1.9] | 1.1 [0.7, 1.7] | 1.8 [0.9, 3.8] | 1.0 [0.7, 1.7] |
Data presented as OR [95% CI]
Adjusts for frequency of methicillin-resistant Staphylococcus aureus or vancomycin-resistant Enterococcus colonization, an infection as the admission diagnosis, length of stay, concomitant cephalosporin allergy, penicillin intolerance, and Allergy/Immunology consultation.
Adjusts for frequency of methicillin-resistant Staphylococcus aureus or vancomycin-resistant Enterococcus colonization, an infection as the admission diagnosis, length of stay, concomitant cephalosporin allergy, and penicillin intolerance.
p<0.001;
p=0.03;
p=0.02;
p=0.04
Secondary Outcomes
Although a similar proportion of patients in the ST period used a penicillin or cephalosporin on discharge compared to the SOC period, a greater frequency of ST-PP patients received a penicillin or cephalosporin on discharge compared to SOC (26% vs 16%, p=0.18, Table II). In the multivariable model, there was an increased odds of a penicillin or cephalosporin used for discharge treatment for ST-PP patients, compared to SOC (OR 2.5 [95% CI 1.04, 6.2], Table III). In both univariable and multivariable analyses, the frequency of discharge use of a penicillin or cephalosporin was similar in the APP period, compared to SOC (Tables II and III).
Overall frequency of alternative antibiotic use was largely similar across periods (Tables II and III, Bottom).
There were no adverse drug reactions identified in SOC or ST periods. One patient in the APP period with history of penicillin allergy developed erythema and pruritus to amoxicillin after a negative penicillin skin test.
Balance Measure
The frequency of inpatient macrolide antibiotic use was unchanged by the interventions, compared to SOC (10%), for all comparisons (ST 10%, p =0.89; ST-PP 2%, p=0.10; APP 12%, p=0.67).
DISCUSSION
In this study of two antibiotic stewardship innovations designed to safely increase use of favorable beta-lactam antibiotics in medical inpatients reporting penicillin allergy, we found that the allergy history-driven computerized guideline as well as completed penicillin skin testing significantly increased penicillin or cephalosporin antibiotic use. While skin testing period patients did not have increased odds of penicillin or cephalosporin use, patients in the computerized guideline period had a significant almost 2-fold increased odds of receiving a penicillin or cephalosporin antibiotic. Completed skin testing, in the per protocol analysis, had an almost 6-fold increased odds of receiving a penicillin or cephalosporin antibiotic.
Among inpatients treated for infections, 5–25% report an allergy to penicillin.1,4,7,16,31 Although up to 3 in 4 patients with alleged penicillin allergy warrant inpatient treatment with a beta-lactam antibiotic,4 only half were receiving these antibiotics in the baseline SOC period. We implemented interventions that were associated with increased use of favorable penicillins and cephalosporins, reflecting improved antibiotic choice and stewardship. Since the impact of over-reporting penicillin allergy is felt beyond antibiotic utilization to resultant readmissions,31 treatment failures,8 and adverse events,4 safely increasing the use of penicillin and cephalosporin antibiotics in this patient population is a crucial first step towards improved quality of care and reduced cost.32
We did not observe a significant impact of the interventions on the frequency of discharge use of penicillins or cephalosporins in the primary analyses, or inpatient use of alternative antibiotics. The former may be explained by providers’ choice for outpatient therapy placing more emphasis on medication convenience. Yet, we observed that patients who completed skin testing in the per protocol analysis had an increased odds of penicillin or cephalosporin use at discharge, which may indicate that skin test negative patients have improved antibiotic use beyond their hospitalization. It was not surprising that neither intervention had a significant impact on use of alternative antibiotics, since medical inpatients with infections are often given empiric treatment that includes the alternative antibiotics.
Prior studies addressing over-reported penicillin allergies have demonstrated the utility of penicillin skin testing in emergency, intensive care, and perioperative patients.10,13,33 Fewer skin testing studies are reported among highly selected inpatient subsets.16,34–36 Alternative approaches to address inpatient penicillin allergies have included consultation by allergy specialists34,37 and guidelines/clinical pathways.26,38 By implementing and assessing both a skin testing approach and guideline approach in sequential cohorts at the same institution, we were able to determine the overall hospital policy level impact of these interventions.
While completed penicillin skin testing was effective at improving inpatient antibiotic choice, 36% of patients were ineligible for testing, consistent with prior estimates that deemed 4–59% of inpatients skin test ineligible.16,39,40 One modifiable reason that patients in the ST period overall may not have experienced a significant increase in penicillin and cephalosporin use was an inability to coordinate testing for 58 skin test eligible patients. However, we skin tested 16% of all patients reporting penicillin allergy on antibiotics in this period, and 24% of those who were skin test eligible, largely comparable to the 19% yield achieved through the use of a designated pharmacist performing skin testing in a prior study.36 Still, more patients would have had testing completed, and overall findings may have differed, had we hired an on-site skin testing clinician.
Despite challenges associated with coincidental innovation at the time of electronic health record conversion,41–44 there were almost 300 unique webpage views of the computerized guideline, and 112 providers completed decision support. Given the computerized guideline’s overall positive impact on antibiotic use, reliance on new technology over new human capital, and relative ease of implementation, the computerized guideline and decision support tool have great potential to improve the care of inpatients with reported penicillin allergy. This conclusion is further strengthened by our knowledge of the intervention’s limited electronic health record integration and basic user interface during the study period.45,46 Further, the computerized guideline and decision support tool can provide guidance when hospitals do not have access to allergists or penicillin skin testing, or when patients are otherwise ineligible or unwilling to complete a skin test.
Innovations in healthcare delivery substantially change care, while quality improvement targets incremental change.47 The interventions implemented challenged the status quo by introducing a new process (i.e., skin testing) and a new technology (i.e., computerized guideline) to change the care of inpatients labeled penicillin-allergic. Healthcare systems are ill-equipped to address penicillin allergy because general clinicians have poor drug allergy knowledge,25 there are inadequate numbers of allergy specialists to perform these evaluations,48,49 and less than 15% of U.S. hospitals have the skin testing reagent on formulary.50 Thus, healthcare delivery innovations are needed with investments in infrastructure, technology, and/or human resources. These investments may contain elements of the computerized guideline, which was easy to implement and relatively inexpensive. Hospitals will likely need processes for performing penicillin skin testing and test dose challenges, even without access to allergy specialists.
While the hospital policy perspective of this study afforded us a realistic view of the overall impact of our interventions, the analysis underestimates the potential impact because of incomplete uptake. Using a per protocol analysis for the penicillin skin testing period provided additional insight, but is subject to selection bias towards patients who would most clearly benefit from the penicillin skin test. While a per protocol analysis may have been similarly favorable for patients whose providers used the computerized guideline, these data were not available. Although cohorts were identified prospectively, data were gathered retrospectively, potentially resulting in missing or misclassification information; for example, we could not identify mild adverse reactions, if they were not included in the electronic health record. Data were also gathered in two different electronic health record systems, however, variables were collected by medicine-trained chart verifiers comfortable with both systems. We acknowledge that our quasi-experimental design limits our ability to demonstrate causality, but we included the macrolide balance measure to provide reassurance against unmeasured confounders or secular trends. This study assessed antibiotic outcomes within patients’ incident admission only, and did not capture important longitudinal outcomes, such as clarity of allergy status/documentation or types of antibiotics (i.e., beta-lactams or alternatives) used after discharge or in future hospitalizations. Finally, internal medicine patients may not be similar to other types of inpatients (e.g., surgical, obstetric), and results may differ in hospitals whose patients, resources, and/or personnel differ from those of BWH.
In summary, we implemented and assessed two interventions in the care of hospitalized medical patients with reported penicillin allergy. Although barriers to completing skin testing routinely in medical patients made skin testing impractical and without an overall impact on antibiotic use, skin tested patients had almost 6-fold odds of increased penicillin and cephalosporin use. The computerized guideline had an overall positive, almost 2-fold impact, with a feasible implementation and long-term strategy for greater technology integration.
Supplementary Material
Clinical Implications.
Improved antibiotic choice among medical inpatients reporting prior penicillin allergy was achieved using a computerized guideline, which resulted in an overall significant increased odds of penicillin or cephalosporin use compared to standard of care (aOR 1.8 [95% CI 1.1, 2.9]).
Acknowledgments
We thank: Brett Macaulay for programming the guideline/APP. BCRISP team David Kubiak, PharmD, Michael Calderwood, MD, MPH, Mariana Castells, MD, PhD, Kathleen A. Marquis, PharmD, PhD, Jessica Dudley, MD and Jessica Desrosiers, MPH. Providers who performed testing and/or chart verification: James L. Kuhlen, MD, Kathy Lee-Sawar, MD, Katherine Buchheit, MD, Matthew Giannetti, MD, and Donna-Marie Lynch, MSN, FNP-BC, Amy S. Levin, MD, Timothy J. Poterucha, MD, Mark J. Harris, MD, MPH, and Christina J. Toledo-Cornell, MD. Niki Holtzman, BA and Yu Li, MS for research assistance. And the clinicians, pharmacists, and nurses of BWH who participated in this care redesign.
Drs. Kimberly Blumenthal and Shelley Hurwitz had full access to all of the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis.
Funding: This work was supported by the Brigham Care Redesign Incubator and Start-Up Program (BCRISP) from 2014–2016. Dr. Blumenthal receives/received support from the Harvard Catalyst | The Harvard Clinical and Translational Science Center (National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health Award UL1 TR001102), financial contributions from Harvard University and its affiliated academic healthcare centers, NIH K01AI125631-01, and the American Academy of Allergy Asthma and Immunology Foundation . Dr. Walensky was supported by the Steven and Deborah Gorlin MGH Research Scholars Award. The content is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Catalyst, Harvard University and its affiliated academic healthcare centers, or the National Institutes of Health.
Abbreviations
- SOC
standard of care
- ST
penicillin skin testing
- APP
computerized guideline application with decision support
- BWH
Brigham and Women’s Hospital
- OR
odds ratio
- CI
confidence interval
- IQR
interquartile range
Footnotes
Conflicts of interest: None
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Lee CE, Zembower TR, Fotis MA, Postelnick MJ, Greenberger PA, Peterson LR, et al. The incidence of antimicrobial allergies in hospitalized patients: implication regarding prescribing patters and emerging bacterial resistance. Arch Intern Med. 2000;160:2819–2822. doi: 10.1001/archinte.160.18.2819. [DOI] [PubMed] [Google Scholar]
- 2.Picard M, Begin P, Bouchard H, Cloutier J, Lacombe-Barrios J, Paradis J, et al. Treatment of patients with a history of penicillin allergy in a large tertirary care academic hospital. J Allergy Clin Immunol Pract. 2013;1(3):252–257. doi: 10.1016/j.jaip.2013.01.006. [DOI] [PubMed] [Google Scholar]
- 3.Lutomski DM, Lafollette JA, Biaglow MA, Haglund LA. Antibiotic allergies in the medical record: effect on drug selection and assessment of validity. Pharmacotherapy. 2008;28(11):1348–1353. doi: 10.1592/phco.28.11.1348. [DOI] [PubMed] [Google Scholar]
- 4.MacFadden DR, LaDelfa A, Leen J, Gold WL, Daneman N, Weber E, et al. Impact of Reported Beta-Lactam Allergy on Inpatient Outcomes: A Multicenter Prospective Cohort Study. Clin Infect Dis. 2016 doi: 10.1093/cid/ciw462. [DOI] [PubMed] [Google Scholar]
- 5.Blumenthal KG, Shenoy ES, Huang M, Kuhlen JL, Ware WA, Parker RA, et al. The impact of reporting a prior penicillin allergy on the treatment of methicillin-sensitive Staphylococcus aureus bacteremia. PloS one. 2016;11(7):e0159406. doi: 10.1371/journal.pone.0159406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Blumenthal KG, Parker RA, Shenoy ES, Walensky RP. Improving clinical outcomes in patients with methicillin-sensitive Staphylococcus aureus bacteremia and reported penicillin allergy. Clin Infect Dis. 2015;61(5):741–749. doi: 10.1093/cid/civ394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.McDanel JS, Perencevich EN, Diekema DJ, Herwaldt LA, Smith TC, Chrischilles EA, et al. Comparative effectiveness of beta-lactams versus vancomycin for treatment of methicillin-susceptible Staphylococcus aureus bloodstream infections among 122 hospitals. Clin Infect Dis. 2015;61(3):361–367. doi: 10.1093/cid/civ308. [DOI] [PubMed] [Google Scholar]
- 8.Jeffres MN, Narayanan PP, Shuster JE, Schramm GE. Consequences of avoiding beta-lactams in patients with beta-lactam allergies. J Allergy Clin Immunol. 2016;137(4):1148–1153. doi: 10.1016/j.jaci.2015.10.026. [DOI] [PubMed] [Google Scholar]
- 9.Tice AD, Rehm SJ, Dalovisio JR, Bradley JS, Martinelli LP, Graham DR, et al. Practice guidelines for outpatient parenteral antimicrobial therapy. Clin Infect Dis. 2004;38:1651–1672. doi: 10.1086/420939. [DOI] [PubMed] [Google Scholar]
- 10.Raja AS, Lindsell CJ, Bernstein JA, Codispoti CD, Moellman JJ. The use of penicillin skin testing to assess the prevalence of penicillin allergy in an emergency department setting. Ann Emerg Med. 2009;54(1):72–77. doi: 10.1016/j.annemergmed.2008.12.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Sade K, Holtzer I, Levo Y, Kivity S. The economic burden of antibiotic treatment of penicillin-allergic patients in internal medicine wards of a general tertiary care hospital. Clin Exp Allergy. 2003;33(4):501–506. doi: 10.1046/j.1365-2222.2003.01638.x. [DOI] [PubMed] [Google Scholar]
- 12.Macy E, Ngor EW. Safely diagnosing clinically significant penicillin allergy using only penicilloyl-poly-lysine, penicillin, and oral amoxicillin. J Allergy Clin Immunol Pract. 2013;1(3):258–263. doi: 10.1016/j.jaip.2013.02.002. [DOI] [PubMed] [Google Scholar]
- 13.del Real GA, Rose ME, Ramirez-Atamoros MT, Hammel J, Gordon SM, Arroliga AC, et al. Penicillin skin testing in patients with a history of beta-lactam allergy. Ann Allergy Asthma Immunol. 2007;98(4):355–359. doi: 10.1016/S1081-1206(10)60882-4. [DOI] [PubMed] [Google Scholar]
- 14.Park M, Markus P, Matesic D, Li JT. Safety and effectiveness of a preoperative allergy clinic in decreasing vancomyin use in patients with a history of penicillin allergy. Ann Allergy Asthma Immunol. 2006;97(5):681–687. doi: 10.1016/S1081-1206(10)61100-3. [DOI] [PubMed] [Google Scholar]
- 15.Sagar PS, Katelaris CH. Utility of penicillin skin testing in patients with a history of penicillin allergy. Asia Pac Allergy. 2013;3(2):115–199. doi: 10.5415/apallergy.2013.3.2.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rimawi RH, Cook PP, Gooch M, Kabchi B, Ashraf MS, Rimawi BH, et al. The impact of penicillin skin testing on clinical practice and antimicrobial stewardship. J Hosp Med. 2013;8(6):341–345. doi: 10.1002/jhm.2036. [DOI] [PubMed] [Google Scholar]
- 17.Choosing Wisely. [Accessed August 18, 2016];American Board of Internal Medicine. 2016 http://www.choosingwisely.org/wp-content/uploads/2015/01/Choosing-Wisely-Recommendations.pdf.
- 18.Is it Really a Penicillin Allergy? The Center for Disease Control and Prevention; 2016. [Accessed August 18, 2016]. http://www.cdc.gov/getsmart/week/downloads/getsmart-penicillin-factsheet.pdf. [Google Scholar]
- 19.NQF Launches Antibiotic Stewardship Initiative. [Accessed August 18, 2016];National Quality Forum. 2015 http://www.qualityforum.org/News_And_Resources/Press_Releases/2015/NQF_Launches_Antibiotic_Stewardship_Initiative.aspx.
- 20.Barlam TF, Cosgrove SE, Abbo LM, MacDougall C, Schuetz AN, Septimus EJ, et al. Executive Summary: Implementing an Antibiotic Stewardship Program: Guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. Clin Infect Dis. 2016;62(10):1197–1202. doi: 10.1093/cid/ciw217. [DOI] [PubMed] [Google Scholar]
- 21.Pickering LK, Baker CJ, Kimberlin DW. Red Book: Report of the Committee on Infectious Diseases. 29. Elk Grove Village, IL: American Academy of Pediatrics; 2012. [Google Scholar]
- 22.Iammatteo M, Blumenthal KG, Saff R, Long AA, Banerji A. Safety and outcomes of test doses for the evaluation of adverse drug reactions: a 5-year retrospective review. J Allergy Clin Immunol Pract. 2014;2(6):768–774. doi: 10.1016/j.jaip.2014.08.001. [DOI] [PubMed] [Google Scholar]
- 23.Gell PGH, Coombs RA. The Classification of Allergic Reactions Underlying Disease. 1. Oxford, England: Blackwell; 1963. [Google Scholar]
- 24. [Accessed August 2, 2016, 2016];The Epic Roll Out: BWHers Share Successes, Challenges of New System. 2015 https://bwhclinicalandresearchnews.org/2015/10/13/the-epic-roll-out-bwhers-share-successes-challenges-of-new-system/
- 25.Blumenthal KG, Shenoy ES, Hurwitz S, Varughese CA, Hooper DC, Banerji A. Effect of a drug allergy educational program and antibiotic prescribing guideline on inpatient clinical providers' antibiotic prescribing knowledge. J Allergy Clin Immunol Pract. 2014;2(4):407–413. doi: 10.1016/j.jaip.2014.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Blumenthal KG, Shenoy ES, Varughese CA, Hurwitz S, Hooper DC, Banerji A. Impact of a clinical guideline for prescribing antibiotics to inpatients reporting penicillin or cephalosporin allergy. Ann Allergy Asthma Immunol. 2015;115(4):294–300. e292. doi: 10.1016/j.anai.2015.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Solensky R. A novel approach to improving antibiotic selection in patients reporting penicillin allergy. Ann Allergy Asthma Immunol. 2015;115(4):257–258. doi: 10.1016/j.anai.2015.07.001. [DOI] [PubMed] [Google Scholar]
- 28.Damiani G, Pinnarelli L, Colosimo SC, Almiento R, Sicuro L, Galasso R, et al. The effectiveness of computerized clinical guidelines in the process of care: a systematic review. BMC Health Serv Res. 2010;10:2. doi: 10.1186/1472-6963-10-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.de Clercq PA, Blom JA, Korsten HH, Hasman A. Approaches for creating computer-interpretable guidelines that facilitate decision support. Artif Intell Med. 2004;31(1):1–27. doi: 10.1016/j.artmed.2004.02.003. [DOI] [PubMed] [Google Scholar]
- 30.Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381. doi: 10.1016/j.jbi.2008.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.van Dijk SM, Gardarsdottir H, Wassenberg MW, Oosterheert JJ, de Groot MC, Rockmann H. The High Impact of Penicillin Allergy Registration in Hospitalized Patients. J Allergy Clin Immunol Pract. 2016 doi: 10.1016/j.jaip.2016.03.009. [DOI] [PubMed] [Google Scholar]
- 32.Macy E, Contreras R. Health care use and serious infection prevalence associated with penicillin “allergy” in hospitalized patients: A cohort study. J Allergy Clin Immunol. 2014;133(3):790–796. doi: 10.1016/j.jaci.2013.09.021. [DOI] [PubMed] [Google Scholar]
- 33.Frigas E, Park MA, Narr BJ, Volcheck GW, Danielson DR, Markus PJ, et al. Preoperative evaluation of patients with history of allergy to penicillin: Comparison of 2 models of practice. Mayo Clin Proc. 2008;83(6):651–62. doi: 10.4065/83.6.651. [DOI] [PubMed] [Google Scholar]
- 34.King EA, Challa S, Curtin P, Bielory L. Penicillin skin testing in hospitalized patients with beta-lactam allergies: Effect on antibiotic selection and cost. Ann Allergy Asthma Immunol. 2016;117(1):67–71. doi: 10.1016/j.anai.2016.04.021. [DOI] [PubMed] [Google Scholar]
- 35.Heil EL, Bork JT, Schmaizie SA, Kleinberg M, Kewalramani A, Gilliam BL, et al. Implementation of an infectious disease fellow managed penicillin allergy skin testing service. Open Forum Infect Dis. 2016 doi: 10.1093/ofid/ofw155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Chen JR, Tarver SA, Alvarez KS, Tran T, Khan DA. A Proactive Approach to Penicillin Allergy Testing in Hospitalized Patients. J Allergy Clin Immunol Pract. 2016 doi: 10.1016/j.jaip.2016.09.045. [DOI] [PubMed] [Google Scholar]
- 37.Ressner RA, Gada SM, Banks TA. Antimicrobial stewardship and the allergist: reclaiming our antibiotic armamentarium. Clin Infect Dis. 2016;62(3):400–401. doi: 10.1093/cid/civ886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Forrest DM, Schellenberg RR, Thien VV, King S, Anis AH, Dodek PM. Introduction of a practice guideline for penicillin skin testing improves the appropriateness of antibiotic therapy. Clin Infect Dis. 2001;32(12):1685–1690. doi: 10.1086/320752. [DOI] [PubMed] [Google Scholar]
- 39.Arroliga ME, Wagner W, MBB, Hoffman-Hogg L, Gordon SM, Arroliga AC. A pilot study of penicillin skin testing in patients with a history of penicillin allergy admitted to the medical ICU. Chest. 2000;118:1106–1108. doi: 10.1378/chest.118.4.1106. [DOI] [PubMed] [Google Scholar]
- 40.Arroliga ME, Radojicic C, Gordon SM, Popovich MJ, Bashour CA, Melton AL, et al. A prospective observational study of the effect of penicillin skin testing on antibiotic use in the intensive care unit. Infect Control Hosp Epidemiol. 2003;24(5):347–350. doi: 10.1086/502212. [DOI] [PubMed] [Google Scholar]
- 41.Scott JT, Rundall TG, Vogt TM, Hsu J. Kaiser Permanente's experience of implementing an electronic medical record: a qualitative study. BMJ. 2005;331(7528):1313–1316. doi: 10.1136/bmj.38638.497477.68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ward MJ, Froehle CM, Hart KW, Collins SP, Lindsell CJ. Transient and sustained changes in operational performance, patient evaluation, and medication administration during electronic health record implementation in the emergency department. Ann Emerg Med. 2014;63(3):320–328. doi: 10.1016/j.annemergmed.2013.08.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Boonstra A, Versluis A, Vos JF. Implementing electronic health records in hospitals: a systematic literature review. BMC Health Serv Res. 2014;14:370. doi: 10.1186/1472-6963-14-370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Gettinger A, Csatari A. Transitioning from a legacy EHR to a commercial, vendor-supplied, EHR: one academic health system's experience. Appl Clin Inform. 2012;3(4):367–376. doi: 10.4338/ACI-2012-04-R-0014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Sittig DF, Wright A, Osheroff JA, et al. Grand challenges in clinical decision support. J Biomed Inform. 2008;41(2):387–392. doi: 10.1016/j.jbi.2007.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Bates DW, Kuperman GJ, Wang S, et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc. 2003;10(6):523–530. doi: 10.1197/jamia.M1370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Dzau VJ, Yoediono Z, Ellaissi WF, Cho AH. Fostering innovation in medicine and health care: what must academic health centers do? Acad Med. 2013;88(10):1424–1429. doi: 10.1097/ACM.0b013e3182a32fc2. [DOI] [PubMed] [Google Scholar]
- 48.Find an Allergist/Immunologist. The American Academy of Allergy, Asthma, and Immunology; 2015. [Accessed August 14, 2015]. http://allergist.aaaai.org/find/ [Google Scholar]
- 49.Gerace KS, Karlin E, McKinnon E, Phillips E. Varying penicillin allergy testing practices in the United States: A time for consensus. J Allergy Clin Immunol Pract. 2015;3(5):791–793. doi: 10.1016/j.jaip.2015.03.010. [DOI] [PubMed] [Google Scholar]
- 50.Vogel K. Representative for Pre-Pen, ALK by email. Jul 15, 2016. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.


