Evidence map›Paper›PMID 39580659›Full record

ArticleJournal of hospital medicine2025

Guideline concordance of electronic health record order sets for hospital-based treatment of alcohol withdrawal syndrome.

Shawn M Cohen, Nitu Kashyap, Tessa L Steel, E Jennifer Edelman, David A Fiellin, Paul J Joudrey

Abstract read
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Article in Journal of hospital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shawn M CohenProgram in Addiction Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID http://orcid.org/0000-0002-7054-3217
Nitu KashyapDepartment of Internal Medicine, Emory University, Atlanta, Georgia, USA.
Tessa L SteelDepartment of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Harborview Medical Center, University of Washington School of Medicine, Seattle, Washington, USA.
E Jennifer EdelmanProgram in Addiction Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
David A FiellinProgram in Addiction Medicine, Section of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Paul J JoudreyDepartment of Medicine, Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.

Funding

Improving the Safety of Treatment for Hospitalized Patients with Alcohol Withdrawal SyndromeK23AA030588 · NIAAA · UNIVERSITY OF WASHINGTON · PI Tessa Lynne Steel · 2022 to 2026
$940k
NIAAA NIH HHS K23 AA030588
6 · The paper itself

Abstract

backgroundTreatment of alcohol withdrawal syndrome (AWS) in hospitals is inconsistent. Electronic health record (EHR) order sets protocolize care.

objectiveWe examined variation in AWS order sets across hospital organizations and their concordance with AWS guidelines.

methodsWe conducted a cross-sectional study of hospital organization user-created EHR order sets for AWS extracted from the December 2021 Epic® userweb community library. Hospital organizations with an acute care hospital and

resultsNinety-five organizations with 289 order sets were included. The proportion of organizations with guideline-concordant laboratory assessments included testing of electrolytes (83%), hepatic function (75%), substance use (83%), and screening for infections (33%). Guidance for assessing risk of severe AWS (34%) and indications for care escalation (63%) used inconsistent definitions. Use of guideline-concordant medications for AWS (99%) and AWS symptom scores (91%) were nearly universal. MAUD was included by two organizations (2%). A common templated order set was used by 26% of organizations in EHR order sets.

conclusionsWe observed frequent organizational inclusion of guideline-concordant medications and symptom scores but rare and/or poorly defined guidance for evaluating risk of severe AWS, escalation of care, and MAUD.

Indexed as

AlcoholismElectronic Health RecordsGuideline AdherencePractice Guidelines as TopicSubstance Withdrawal SyndromeCross-Sectional StudiesHumans

Identifiers

PMID39580659
PMCPMC12276874

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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.