Evidence map›Paper›PMID 35197658›Full record

ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2021

Medication Errors and Patient Safety: Evaluation of Physicians' Responses to Medication-Related Alert Overrides in Clinical Decision Support Systems.

Taghreed Justinia, Weam Qattan, Ahmed Almenhali, Abdulaziz Abo-Khatwa, Omar Alharbi, Talal Alharbi

Open access · greenAbstract read
In one paragraph

Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Taghreed JustiniaCollege of Public Health & Health Informatics, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Weam QattanKing Abdullah International Medical Research Center, Jeddah, Saudi Arabia.
Ahmed AlmenhaliCollege of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Abdulaziz Abo-KhatwaCollege of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Omar AlharbiCollege of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Talal AlharbiCollege of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
King Abdulaziz University · SAKing Abdullah International Medical Research Center · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical decision support systems (CDSS) can enhance patient safety and reduce medication errors by giving physicians alerts while dispensing medications. Physicians inappropriately override these alerts for various reasons, which can possibly lead to medication errors and impact patient safety.

objectiveTo assess the appropriateness of overridden major medication-related alerts, to investigate the reasons behind inappropriate overriding, and to evaluate if medication errors occur in inappropriately overridden alerts.

methodsA mixed-methods study was conducted.. Quantitative: Retrospective observation to evaluate the appropriateness of major drug-dose related alert overrides. A simple random sample was taken from appropriate and inappropriate overrides and reviewed for medication errors. Qualitative: Semi-Structured Interviews were conducted with ten consultant physicians from various specialties. Interviews were transcribed and coded inductively then analyzed using Thematic Content Analysis.

resultsOut of 1087 alert overrides that were evaluated for appropriateness, 738 were inappropriately overridden (67.89%). In a sample of 283 inappropriate and 92 appropriate overrides; the resulted medication errors were 7 and 0, respectively. Qualitative analysis resulted in three emergent themes; Judgement, Experience & Guidelines, CDSS Issues & Limitations, Physician Behavior & Safety.

conclusionThe majority of alerts were found to be inappropriately overridden. This can be attributed to physician reliance on their clinical knowledge and medication databases, having the pharmacists' checks, and alert fatigue. CDSS alerts can be improved by making them more prominent and suppressing or descaling unnecessary alerts. The drop-down justification list can be enhanced by adding free text options and relating recommended dosing to disease or specialty.

Indexed as

alert fatiguealert overrideCDSSclinical decision support systemsmedical errormedication alertmedication error

Identifiers

PMID35197658
PMCPMC8800577
OpenAlexW4206474848

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.