Evidence map›Paper›PMID 39321455›Full record

ArticleJMIR formative research2024

A Clinical Decision Support Tool for Intimate Partner Violence Screening Among Women Veterans: Development and Qualitative Evaluation of Provider Perspectives.

Fernanda S Rossi, Justina Wu, Christine Timko, Andrea L Nevedal, Shannon Wiltsey Stirman

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

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

5 authors.

Fernanda S RossiDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0001-5338-8529
Justina WuCenter for Innovation to Implementation (Ci2i), Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0003-4806-5260
Christine TimkoDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-6271-7141
Andrea L NevedalCenter for Clinical Management Research, Veterans Affairs Ann Arbor Health Care System, Ann Arbor, CA, United States.ORCID 0000-0003-3859-8493
Shannon Wiltsey StirmanDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0001-9917-5078

Funding

Transforming health equity rhetoric to rigor: Development and validation of a novel measure assessing health equity in implementation of health interventionsP50DA054072 · NIDA · STANFORD UNIVERSITY · PI Mark P McGovern · 2022 to 2026
$18.1M
NIDA NIH HHS P50 DA054072
6 · The paper itself

Abstract

backgroundWomen veterans, compared to civilian women, are especially at risk of experiencing intimate partner violence (IPV), pointing to the critical need for IPV screening and intervention in the Veterans Health Administration (VHA). However, implementing paper-based IPV screening and intervention in the VHA has revealed substantial barriers, including health care providers' inadequate IPV training, competing demands, time constraints, and discomfort addressing IPV and making decisions about the appropriate type or level of intervention.

objectiveThis study aimed to address IPV screening implementation barriers and hence developed and tested a novel IPV clinical decision support (CDS) tool for physicians in the Women's Health Clinic (WHC), a primary care clinic within the Veterans Affairs Palo Alto Health Care System. This tool provides intelligent, evidence-based, step-by-step guidance on how to conduct IPV screening and intervention.

methodsInformed by existing CDS development frameworks, developing the IPV CDS tool prototype involved six steps: (1) identifying the scope of the tool, (2) identifying IPV screening and intervention content, (3) incorporating IPV-related VHA and clinic resources, (4) identifying the tool's components, (5) designing the tool, and (6) conducting initial tool revisions. We obtained preliminary physician feedback on user experience and clinical utility of the CDS tool via the System Usability Scale (SUS) and semistructured interviews with 6 WHC physicians. SUS scores were examined using descriptive statistics. Interviews were analyzed using rapid qualitative analysis to extract actionable feedback to inform design updates and improvements.

resultsThis study includes a detailed description of the IPV CDS tool. Findings indicated that the tool was generally well received by physicians, who indicated good tool usability (SUS score: mean 77.5, SD 12.75). They found the tool clinically useful, needed in their practice, and feasible to implement in primary care. They emphasized that it increased their confidence in managing patients reporting IPV but expressed concerns regarding its length, workflow integration, flexibility, and specificity of information. Several physicians, for example, found the tool too time consuming when encountering patients at high risk; they suggested multiple uses of the tool (eg, an educational tool for less-experienced health care providers and a checklist for more-experienced health care providers) and including more detailed information (eg, a list of local shelters).

conclusionsPhysician feedback on the IPV CDS tool is encouraging and will be used to improve the tool. This study offers an example of an IPV CDS tool that clinics can adapt to potentially enhance the quality and efficiency of their IPV screening and intervention process. Additional research is needed to determine the tool's clinical utility in improving IPV screening and intervention rates and patient outcomes (eg, increased patient safety, reduced IPV risk, and increased referrals to mental health treatment).

Indexed as

Decision Support Systems, ClinicalIntimate Partner ViolenceMass ScreeningQualitative ResearchVeteransAdultFemaleHealth PersonnelHumansMiddle AgedUnited StatesUnited States Department of Veterans Affairsclinical decision supportintimate partner violenceintimate partner violence screeningwomen veterans

Identifiers

PMID39321455
PMCPMC11464933

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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.