Evidence map›Paper›PMID 35617970›Full record

ArticleApplied clinical informatics2022

Heterogeneity of Drug Allergies and Reaction Lists in Two U.S. Health Care Systems' Electronic Health Records.

Sharmitha Yerneni, Sonam N Shah, Suzanne V Blackley, Carlos A Ortega, Kimberly G Blumenthal, Foster Goss, Diane L Seger, Paige G Wickner, Christian M Mancini, David W Bates and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Sharmitha YerneniDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States.
Sonam N ShahDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States.
Suzanne V BlackleyClinical and Quality Analysis, Mass General Brigham, Somerville, Massachusetts, United States.
Carlos A OrtegaDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States.
Kimberly G BlumenthalHarvard Medical School, Boston, Massachusetts, United States.
Foster GossDepartment of Emergency Medicine, University of Colorado Hospital, Aurora, Colorado, United States.
Diane L SegerClinical and Quality Analysis, Mass General Brigham, Somerville, Massachusetts, United States.
Paige G WicknerHarvard Medical School, Boston, Massachusetts, United States.
Christian M ManciniHarvard Medical School, Boston, Massachusetts, United States.
David W BatesDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States.
Li ZhouDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, United States.
Brigham and Women's Hospital · USHarvard University · USLawrence General Hospital · USMass General Brigham · USPolitical Research Associates · USUniversity of Colorado Denver · US

Funding

Clinical Informatics to Advance Epidemiology and Pharmacogenetics of Serious Cutaneous Adverse Drug ReactionsR01AI150295 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHOU, LI · 2019 to 2022
$2.8M
Improving Allergy Documentation and Clinical Decision Support in the EHRR01HS025375 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHOU, LI · 2018 to 2021
$1.6M
AHRQ HHS R01 HS025375NIAID NIH HHS R01 AI150295
6 · The paper itself

Abstract

backgroundHealth care institutions have their own "picklist" for clinicians to document adverse drug reactions (ADRs) into the electronic health record (EHR) allergy list. Whether the lack of a nationally standardized picklist impacts clinician data entries is unknown.

objectivesThe objective of this study was to assess the impact of defined reaction picklists on clinical documentation and, therefore, downstream analytics and clinical research using these data at two institutions.

methodsADR data were obtained from the EHRs of patients who visited the emergency department or outpatient clinics at Brigham and Women's Hospital (BWH) and University of Colorado Hospital (UCH) from 2013 to 2018. Reported drug class ADR prevalences were calculated. We investigated the reactions on each picklist and compared the top 40 reactions at each institution, as well as the top 10 reactions within each drug class.

resultsOf 2,160,116 patients, 640,444 (30%) had 928,973 active drug allergies. The most commonly reported drug class allergens were similar between BWH and UCH. BWH's picklist had 48 reactions, and UCH's had 160 reactions; 29 reactions were shared by both picklists. While the top four reactions overall (rash, GI upset/nausea/vomiting, hives, itching) were identical between sites, reactions by drug class exhibited greater documentation diversity. For example, while the summed prevalence of swelling-related reactions to angiotensin-converting-enzyme inhibitors was comparable across sites, swelling was represented by two terms ("swelling," "angioedema") at BWH but 11 terms at UCH (e.g., "swelling," "edema," by body locality).

conclusionThe availability and granularity of reaction picklists impact ADR documentation in the EHR by health care providers; picklists may partially explain variations in reported ADRs across health care systems.

Indexed as

Drug HypersensitivityDrug-Related Side Effects and Adverse ReactionsAdverse Drug Reaction Reporting SystemsDelivery of Health CareDocumentationElectronic Health RecordsFemaleHumans

Identifiers

PMID35617970
PMCPMC9352439
OpenAlexW4281657208

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.