Evidence map›Paper›PMID 29695013›Full record

ArticleApplied clinical informatics2018

Determining Inappropriate Medication Alerts from "Inaccurate Warning" Overrides in the Intensive Care Unit.

Christine A Rehr, Adrian Wong, Diane L Seger, David W Bates

Abstract read
In one paragraph

Article in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  13. Structured override reasons for drug-drug interaction alerts in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2019
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  15. Observational
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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

4 authors.

Christine A RehrDepartment of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States.
Adrian WongDepartment of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States.
Diane L SegerDepartment of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States.
David W BatesDepartment of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis article aims to understand provider behavior around the use of the override reason "Inaccurate warning," specifically whether it is an effective way of identifying unhelpful medication alerts. MATERIALS AND

methodsWe analyzed alert overrides that occurred in the intensive care units (ICUs) of a major academic medical center between June and November 2016, focused on the following high-significance alert types: dose, drug-allergy alerts, and drug-drug interactions (DDI). Override appropriateness was analyzed by two independent reviewers using predetermined criteria.

resultsA total of 268 of 26,501 ICU overrides (1.0%) used the reason "Inaccurate warning," with 93 of these overrides associated with our included alert types. Sixty-one of these overrides (66%) were identified to be appropriate. Twenty-one of 30 (70%) dose alert overrides were appropriate. Forty of 48 drug-allergy alert overrides (83%) were appropriate, for reasons ranging from prior tolerance (

conclusionThe "Inaccurate warning" reason was selectively used by a small proportion of providers and overrides using this reason identified important opportunities to reduce excess alerts. Potential opportunities include improved evaluation of dosing mechanisms based on patient characteristics, inclusion of institutional dosing protocols to alert logic, and evaluation of a patient's prior tolerance to a medication that they have a documented allergy for. This resource is not yet routinely used for alert tailoring at our institution but may prove to be a valuable resource to evaluate available alerts.

Indexed as

Intensive Care UnitsMedical Order Entry SystemsMedication ErrorsDrug HypersensitivityDrug InteractionsHumans

Identifiers

PMID29695013
PMCPMC5916798

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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.