Evidence map›Paper›PMID 34852390›Full record

ArticleApplied clinical informatics2021

Low Efficacy of Medication Shortage Clinical Decision Support Alerts.

Nicole M Benson, Caryn Belisle, David W Bates, Hojjat Salmasian

Abstract read
In one paragraph

Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Nicole M BensonMcLean Hospital, Belmont, Massachusetts, United States.
Caryn BelisleDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States.
David W BatesHarvard Medical School, Boston, Massachusetts, United States.
Hojjat SalmasianHarvard Medical School, Boston, Massachusetts, United States.

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
NLM NIH HHS T15 LM007092T15 LM007092 National Library of Medicine Biomedical Informatics and Data Science Research Training Grant (BIRT)
6 · The paper itself

Abstract

objectiveWe examined clinical decision support (CDS) alerts designed specifically for medication shortages to characterize and assess provider behavior in response to these short-term clinical situations. MATERIALS AND

methodsWe conducted a retrospective analysis of the usage of medication shortage alerts (MSAs) that included at least one alternative medication suggestion and were active for 60 or more days during the 2-year study period, January 1, 2018 to December 31, 2019, in a large health care system. We characterized ordering provider behavior in response to inpatient MSAs. We then developed a linear regression model to predict provider response to alerts using the characteristics of the ordering provider and alert frequency groupings.

resultsDuring the study period, there were 67 MSAs in use that focused on 42 distinct medications in shortage. The MSAs suggested an average of 3.9 alternative medications. Adjusting for the different alerts, fellows (

conclusionOur findings demonstrate that providers tended to reject MSAs, even those who were sometimes flexible about their responses. The low overall acceptance rate supports the theory that alerts appearing at the time of order entry may have limited value, as they may be presented too late in the decision-making process. Though MSAs are designed to be attention-grabbing and higher impact than traditional CDS, our findings suggest that providers rarely change their clinical decisions when presented with these alerts.

Indexed as

Decision Support Systems, ClinicalMedical Order Entry SystemsFemaleHumansMaleRetrospective Studies

Identifiers

PMID34852390
PMCPMC8636017

What OpenQuestion holds

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Registered trials

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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.