Evidence map›Paper›PMID 31329891›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

Structured override reasons for drug-drug interaction alerts in electronic health records.

Adam Wright, Dustin S McEvoy, Skye Aaron, Allison B McCoy, Mary G Amato, Hyun Kim, Angela Ai, James J Cimino, Bimal R Desai, Robert El-Kareh and 9 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Improving the specificity of drug-drug interaction alerts: Can it be done?American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2022
    Article
  15. Potential Drug Interactions Between Psychotropics and Intravenous Chemotherapeutics Used by Patients With Cancer.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2022
    Article
  16. Article
  17. Racial Disparity in Clinical Alert Overrides.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  18. Article
  19. Review
  20. Article
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

19 authors.

Adam WrightDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Dustin S McEvoyPartners eCare, Partners HealthCare, Boston, Massachusetts, USA.
Skye AaronDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Allison B McCoyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Mary G AmatoDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Hyun KimClinical Pharmacogenomics Service, Boston Children's Hospital, Boston, Massachusetts, USA.
Angela AiUniversity of Wisconsin School of Medicine and Public Health, University of Wisconsin Madison, Madison, Wisconsin, USA.
James J CiminoInformatics Institute and Department of Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA.
Bimal R DesaiDivision of General Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Robert El-KarehDepartment of Medicine, UC San Diego Health, University of California, San Diego, San Diego, California, USA.
William GalanterDepartment of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Christopher A LonghurstDepartment of Medicine, UC San Diego Health, University of California, San Diego, San Diego, California, USA.
Sameer MalhotraDepartment of Healthcare Policy and Research, Weill Cornell Medicine, New York, New York, USA.
Ryan P RadeckiDepartment of Emergency Medicine, Northwest Permanente, Portland, Oregon, USA.
Lipika SamalDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Richard SchreiberPhysician Informatics and Department of Internal Medicine, Geisinger Holy Spirit, Camp Hill, Pennsylvania, USA.
Eric ShelovDivision of General Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Anwar Mohammad SirajuddinDepartment of Medical Informatics, Memorial Hermann Health System, Houston, Texas, USA.
Dean F SittigSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.

Funding

Improving clinical decision support reliability using anomaly detection methodsR01LM011966 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WRIGHT, ADAM T · 2014 to 2017
$2.4M
NLM NIH HHS R01 LM011966
6 · The paper itself

Abstract

objectiveThe study sought to determine availability and use of structured override reasons for drug-drug interaction (DDI) alerts in electronic health records. MATERIALS AND

methodsWe collected data on DDI alerts and override reasons from 10 clinical sites across the United States using a variety of electronic health records. We used a multistage iterative card sort method to categorize the override reasons from all sites and identified best practices.

resultsOur methodology established 177 unique override reasons across the 10 sites. The number of coded override reasons at each site ranged from 3 to 100. Many sites offered override reasons not relevant to DDIs. Twelve categories of override reasons were identified. Three categories accounted for 78% of all overrides: "will monitor or take precautions," "not clinically significant," and "benefit outweighs risk." DISCUSSION: We found wide variability in override reasons between sites and many opportunities to improve alerts. Some override reasons were irrelevant to DDIs. Many override reasons attested to a future action (eg, decreasing a dose or ordering monitoring tests), which requires an additional step after the alert is overridden, unless the alert is made actionable. Some override reasons deferred to another party, although override reasons often are not visible to other users. Many override reasons stated that the alert was inaccurate, suggesting that specificity of alerts could be improved.

conclusionsOrganizations should improve the options available to providers who choose to override DDI alerts. DDI alerting systems should be actionable and alerts should be tailored to the patient and drug pairs.

Indexed as

Electronic Health RecordsMedical Order Entry SystemsAgedDrug InteractionsElectronic PrescribingFemaleHumansMaleMedication ErrorsMiddle Agedalertsclinical decision supportdrug-drug interactionselectronic health recordsoverride reasons

Identifiers

PMID31329891
PMCPMC6748816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.