Evidence map›Paper›PMID 26554427›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Identifying opportunities in EHR to improve the quality of antibiotic allergy data.

Jaclynn M Moskow, Nicole Cook, Carisa Champion-Lippmann, Saint Anthony Amofah, Angela S Garcia

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Beta-lactam comprehensive allergy management program in a community medical center.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. β-lactam exposure outcome among patients with a documented allergy to penicillins post-implementation of a new electronic medical record system and alerting rules.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. The 3 Cs of Antibiotic Allergy-Classification, Cross-Reactivity, and Collaboration.The journal of allergy and clinical immunology. In practice
    Review
4 · The record

Corrections and comments

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

5 authors at 2 institutions in 1 country.

Jaclynn M MoskowClinical Instructor of Public Health, Nova Southeastern University College of Osteopathic Medicine, Master of Public Health Program DrJMoskow@gmail.com.
Nicole CookAssistant Professor of Public Health, Nova Southeastern University College of Osteopathic Medicine, Master of Public Health Program, Fort Lauderdale, FL, USA.
Carisa Champion-LippmannNova Southeastern University College of Osteopathic Medicine, Master of Public Health Program, Fort Lauderdale, FL, USA.
Saint Anthony AmofahChief Medical Officer, Community Health of South Florida and Health Choice Network, Inc. Miami, FL, USA.
Angela S GarciaAssociate Professor of Pharmacy, Nova Southeastern University College of Pharmacy, Fort Lauderdale, FL, USA.
Nova Southeastern University · USHealth Choice Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance is a growing, global public health crisis, due in large part to the overuse and misuse of antibiotics. Understanding medication allergy data and allergy reactions that are documented in electronic health records (EHRs) can help to identify opportunities to improve the quality of documentation of beta-lactam allergies, thus potentially reducing the prescribing of alternative antibiotics.

methodsMedication allergies and allergy reactions recorded in the EHR for 319 051 patients seen across 32 community health centers were reviewed. Patients with a beta-lactam allergy recorded in their EHR were identified. Free text, as well as standardized allergy and allergy reaction fields, were analyzed.

resultsAmong patients, 9.1% (n = 29 095) had evidence of a beta-lactam allergy recorded in their EHR. Women, white, and non-Hispanic patients were more likely to have a documented allergy compared to men, black, and Hispanic patients. Among all patients with a documented beta-lactam allergy, 36.2% had an empty or missing allergy reaction description in their EHR.

conclusionsFindings suggest that current EHR documentation practices among the health centers reviewed do not provide enough information on allergic reactions to allow providers to discern between true allergies and common, but anticipated, drug side effects. Improved EHR documentation guidance, training that reinforces the use of standardized data and more detailed recording of allergic reactions, combined with initiatives to address patient barriers including health literacy, may help to improve the accuracy of drug allergies in patients' records. These initiatives, combined with antimicrobial stewardship programs, can help to reduce inappropriate prescribing of alternative antibiotics when beta-lactam antibiotics are first-line and can be tolerated.

Indexed as

Drug HypersensitivityAdultAnti-Bacterial Agentsbeta-LactamsDocumentationElectronic Health RecordsFemaleFloridaHumansMaleSex FactorsAnti-Bacterial Agentsbeta-Lactamsantibiotic resistancebeta-lactam antibioticscommunity health centersdrug allergyelectronic health record

Identifiers

PMID26554427
PMCPMC4954626
OpenAlexW2280176722

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.