Evidence map›Paper›PMID 25373403›Full record

ArticleMedical care2015

Eliminating Health Care Disparities With Mandatory Clinical Decision Support: The Venous Thromboembolism (VTE) Example.

Brandyn D Lau, Adil H Haider, Michael B Streiff, Christoph U Lehmann, Peggy S Kraus, Deborah B Hobson, Franca S Kraenzlin, Amer M Zeidan, Peter J Pronovost, Elliott R Haut

Abstract read
In one paragraph

Article in Medical care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Racial and Ethnic Disparities in the Diagnosis and Treatment of Thyroid Disease.The Journal of clinical endocrinology and metabolism · 2024
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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

10 authors.

Brandyn D Lau*Department of Surgery, Division of Acute Care Surgery, The Johns Hopkins University School of Medicine †The Armstrong Institute for Patient Safety, Johns Hopkins Medicine ‡Division of Health Sciences Informatics §Department of Anesthesiology & Critical Care Medicine ∥Department of Surgery, Center for Surgical Trials and Outcomes Research (CSTOR), The Johns Hopkins University School of Medicine ¶Department of Health Policy and Management, The Johns Hopkins University Bloomberg School of Public Health #Department of Medicine, Division of Hematology, The Johns Hopkins University School of Medicine, Baltimore, MD **Department of Pediatrics, Division of Neonatal-Perinatal Medicine, Vanderbilt University School of Medicine, Nashville, TN ††Department of Pharmacy, The Johns Hopkins Hospital ‡‡Section of Hematology, Department of Internal Medicine, Yale University, New Haven, CT §§Department of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD.
Adil H Haider
Michael B Streiff
Christoph U Lehmann
Peggy S Kraus
Deborah B Hobson
Franca S Kraenzlin
Amer M Zeidan
Peter J Pronovost
Elliott R Haut

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
ONCOLOGY: CHEMOTHERAPY, IMMUNOLOGY, BIOLOGYT32CA009071 · NCI · JOHNS HOPKINS UNIVERSITY · PI Mary Y Armanios, Nilofer S. Azad · 1985 to 2026
$12.8M
Understanding Mechanisms that lead to Disparities in Trauma OutcomesK23GM093112 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HAIDER, ADIL H · 2010 to 2013
$516k
NCI NIH HHS P30 CA006973NCI NIH HHS T32 CA009071NIGMS NIH HHS K23 GM093112
6 · The paper itself

Abstract

backgroundAll hospitalized patients should be assessed for venous thromboembolism (VTE) risk factors and prescribed appropriate prophylaxis. To improve best-practice VTE prophylaxis prescription for all hospitalized patients, we implemented a mandatory computerized clinical decision support (CCDS) tool. The tool requires completion of checklists to evaluate VTE risk factors and contraindications to pharmacological prophylaxis, and then recommends the risk-appropriate VTE prophylaxis regimen.

objectivesThe objective of the study was to examine the effect of a quality improvement intervention on race-based and sex-based health care disparities across 2 distinct clinical services. RESEARCH

designThis was a retrospective cohort study of a quality improvement intervention. SUBJECTS: The study included 1942 hospitalized medical patients and 1599 hospitalized adult trauma patients. MEASURES: In this study, the proportion of patients prescribed risk-appropriate, best-practice VTE prophylaxis was evaluated.

resultsRacial disparities existed in prescription of best-practice VTE prophylaxis in the preimplementation period between black and white patients on both the trauma (70.1% vs. 56.6%, P=0.025) and medicine (69.5% vs. 61.7%, P=0.015) services. After implementation of the CCDS tool, compliance improved for all patients, and disparities in best-practice prophylaxis prescription between black and white patients were eliminated on both services: trauma (84.5% vs. 85.5%, P=0.99) and medicine (91.8% vs. 88.0%, P=0.082). Similar findings were noted for sex disparities in the trauma cohort.

conclusionsDespite the fact that risk-appropriate prophylaxis should be prescribed equally to all hospitalized patients regardless of race and sex, practice varied widely before our quality improvement intervention. Our CCDS tool eliminated racial disparities in VTE prophylaxis prescription across 2 distinct clinical services. Health information technology approaches to care standardization are effective to eliminate health care disparities.

Indexed as

Black or African AmericanWhite PeopleAdultAnticoagulantsDecision Support Systems, ClinicalFemaleGuideline AdherenceHealthcare DisparitiesHumansMaleMiddle AgedPractice Guidelines as TopicQuality ImprovementRetrospective StudiesRisk AssessmentRisk FactorsAnticoagulants

Identifiers

PMID25373403
PMCPMC4262632

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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.