A Rash Decision: Implementing an EHR-Integrated Penicillin Allergy Delabeling Protocol without Adequate Clinician Support

Approximately 10% of patients have a documented penicillin "allergy"; however, up to 95% have subsequent negative testing. These patients may receive suboptimal antibiotics, leading to longer hospitalizations and higher costs, rates of resistant and nosocomial infections, and all-cause mortality. To mitigate these risks in children, we implemented an inpatient penicillin allergy delabeling protocol and integrated it into the electronic health record (EHR) through a mixed methods approach of clinical decision support (CDS).We describe our protocol implementation across three sequential phases: "Pilot," "Active Antimicrobial Stewardship Program (ASP)," and "Mixed CDS." We highlight several potential pitfalls that may have contributed to poor clinician adoption.Patients were risk-stratified as nonallergic, low-risk, or high-risk based on history. Process measures included: evaluation rate, oral challenge rate for low-risk, and allergy referral rate for high- or low-risk when oral challenge was deferred. The primary outcome measure was the penicillin allergy delabeling rate among low-risk or nonallergic. Balancing measures included the rate of epinephrine or antihistamine administrations.The pilot and ASP phases used clinician education and an order set, but were mostly manual processes. The mixed CDS phase introduced interruptive alerts, dynamic text in note templates, and patient list columns to guide clinicians, but little education was provided. The mixed CDS phase had the lowest evaluation rate compared with the pilot and active ASP phases (6.4 vs. 25 vs. 15%). However, when the evaluation was performed, the mixed CDS phase had the highest oral challenge rate (33 vs. 26 vs. 13%) and delabeling rate (43 vs. 33 vs. 27%). No adverse events occurred.CDS tools improve clinician decision-making and optimize patient care. However, relying on CDS for complex clinical evaluations can lead to failure when clinicians cannot find the tool or appreciate its importance. Person-to-person communication can be vital in establishing a process and educating intended users for successful CDS implementation.

Authors

Institutions

Publication Details

Journal
Applied Clinical Informatics
Published
2025-04-28
DOI
https://doi.org/10.1055/a-2595-4849
Citations
1
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
1.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Rash Decision: Implementing an EHR-Integrated Penicillin Allergy Delabeling Protocol without Adequate Clinician Support

Nicholas Hampton, Christine R Lockowitz, Alexander S Plattner, Matthew J Cormier et al.
1 citations
Applied Clinical Informatics
Pharmacovigilance and Adverse Drug Reactions
1.31
article

A Rash Decision: Implementing an EHR-Integrated Penicillin Allergy Delabeling Protocol without Adequate Clinician Support

Nicholas Hampton, Christine R Lockowitz, Alexander S Plattner, Matthew J Cormier, Sonia Mehta, G Rebecca, Jason G. Newland, Evan E Facer, G. Lucas Starnes, Matthew M Sattler, Alysa G. Ellis, Mehr Zahra Shah, S. L. Chin, Monica Abdelnour, Mackenzie R. Hoffard, Kevin S O'Bryan, Valerie Yuenger, Megan S Daugherty, Alexandra E Grier
article en
1 citations

Abstract

Approximately 10% of patients have a documented penicillin "allergy"; however, up to 95% have subsequent negative testing. These patients may receive suboptimal antibiotics, leading to longer hospitalizations and higher costs, rates of resistant and nosocomial infections, and all-cause mortality. To mitigate these risks in children, we implemented an inpatient penicillin allergy delabeling protocol and integrated it into the electronic health record (EHR) through a mixed methods approach of clinical decision support (CDS).We describe our protocol implementation across three sequential phases: "Pilot," "Active Antimicrobial Stewardship Program (ASP)," and "Mixed CDS." We highlight several potential pitfalls that may have contributed to poor clinician adoption.Patients were risk-stratified as nonallergic, low-risk, or high-risk based on history. Process measures included: evaluation rate, oral challenge rate for low-risk, and allergy referral rate for high- or low-risk when oral challenge was deferred. The primary outcome measure was the penicillin allergy delabeling rate among low-risk or nonallergic. Balancing measures included the rate of epinephrine or antihistamine administrations.The pilot and ASP phases used clinician education and an order set, but were mostly manual processes. The mixed CDS phase introduced interruptive alerts, dynamic text in note templates, and patient list columns to guide clinicians, but little education was provided. The mixed CDS phase had the lowest evaluation rate compared with the pilot and active ASP phases (6.4 vs. 25 vs. 15%). However, when the evaluation was performed, the mixed CDS phase had the highest oral challenge rate (33 vs. 26 vs. 13%) and delabeling rate (43 vs. 33 vs. 27%). No adverse events occurred.CDS tools improve clinician decision-making and optimize patient care. However, relying on CDS for complex clinical evaluations can lead to failure when clinicians cannot find the tool or appreciate its importance. Person-to-person communication can be vital in establishing a process and educating intended users for successful CDS implementation.

Applied Clinical InformaticsVol. 16(04)
Nationwide Children's Hospital (US), St. Louis Children's Hospital (US), BJC HealthCare (US), Children's Hospital of Philadelphia (US), Washington University in St. Louis (US), University of Pennsylvania (US)
National Institutes of Health
Openalex Percentile: Top 24%
Pharmacovigilance and Adverse Drug Reactions
1.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.