Evidence map›Paper›PMID 25405064›Full record

ArticleHealthcare informatics research2014

Differences of Reasons for Alert Overrides on Contraindicated Co-prescriptions by Admitting Department.

Eun Kyoung Ahn, Soo-Yeon Cho, Dahye Shin, Chul Jang, Rae Woong Park

Abstract read
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Article in Healthcare informatics research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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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

10 citing papers in PubMed.

  1. Article
  2. Drug-Drug-Gene Interactions in Cardiovascular Medicine.Pharmacogenomics and personalized medicine · 2022
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Cranky comments: detecting clinical decision support malfunctions through free-text override reasons.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  9. Article
  10. Article
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

5 authors.

Eun Kyoung AhnDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Soo-Yeon ChoDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Dahye ShinDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Chul JangDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo reveal differences in drug-drug interaction (DDI) alerts and the reasons for alert overrides between admitting departments.

methodsA retrospective observational study was performed using longitudinal Electronic Health Record (EHR) data and information from an alert and logging system. Adult patients hospitalized in the emergency department (ED) and general ward (GW) during a 46-month period were included. For qualitative analyses, we manually reviewed all reasons for alert overrides, which were recorded as free text in the EHRs.

resultsAmong 14,780,519 prescriptions, 51,864 had alerts for DDIs (0.35%; 1.32% in the ED and 0.23% in the GW). The alert override rate was higher in the ED (94.0%) than in the GW (57.0%) (p < 0.001). In an analysis of the study population, including ED and GW patients, 'clinically irrelevant alert' (52.0%) was the most common reason for override, followed by 'benefit assessed to be greater than the risk' (31.1%) and 'others' (17.3%). The frequency of alert overrides was highest for anti-inflammatory and anti-rheumatic drugs (89%). In a sub-analysis of the population, 'clinically irrelevant alert' was the most common reason for alert overrides in the ED (69.3%), and 'benefit assessed to be greater than the risk' was the most common reason in the GW (61.4%).

conclusionsWe confirmed that the DDI alerts and the reasons for alert overrides differed by admitting department. Different strategies may be efficient for each admitting department.

Indexed as

Clinical Decision Support SystemsContraindicationsDrug InteractionsHospital Admitting Department

Identifiers

PMID25405064
PMCPMC4231178

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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.