Evidence map›Paper›PMID 41314679›Full record

ArticleFamily medicine and community health2025

Leveraging clinical decision support to improve depression screening and follow-up: insights from a quality improvement case study.

Dongwook Kim, Andre Peri, Natalie Marker

Abstract read
In one paragraph

Article in Family medicine and community health, 2025. 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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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

3 authors.

Dongwook KimSchool of Social Work, Arizona State University, Phoenix, Arizona, USA kim.dwt@asu.edu.ORCID 0009-0004-6654-9730
Andre PeriCommunity-University Health Care Center, Minneapolis, Minnesota, USA.ORCID 0009-0008-0039-6582
Natalie MarkerCommunity-University Health Care Center, Minneapolis, Minnesota, USA.ORCID 0009-0003-5523-5878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe primary objective was to evaluate the impact of clinical decision support (CDS) tool integration into primary care visits on depression screening and follow-up rates and to assess whether CDS use improves adherence to Health Resources and Services Administration (HRSA) guidelines for depression screening and follow-up.

designThis quality improvement evaluation study employed quantitative and qualitative components conducted in parallel to provide complementary insights. Modified Poisson regression with generalised estimating equation (GEE) was used to assess the association between CDS tool use and meeting HRSA criteria for depression screening and follow-up. In addition, semi-structured interviews explored perspectives on the implementation and utility of CDS tools.

settingThis study was conducted at a federally qualified health centre in Minnesota. PARTICIPANT: The dataset included 12 338 patient encounters attributed to 8647 unique patients, covering 2 years of data. Five care providers were recruited through purposive sampling for the semi-structured interviews.

resultCDS use was significantly associated with an increased likelihood of meeting HRSA depression screening and follow-up criteria (relative risk 1.44, 95% CI 1.34 to 1.55; p<0.001). Qualitative findings suggested that while providers found CDS tools useful, workflow challenges and human-centred practices shaped their effectiveness.

conclusionIntegrating CDS tools into primary care workflows can enhance adherence to depression screening and follow-up guidelines. However, their effectiveness relies on supportive person-centred approaches, including collaboration and previsit preparation. These findings highlight the need for a balanced approach that integrates technological interventions with human interaction to enhance clinical practices. Future research should investigate how CDS tools are used in practice, address barriers to their adoption and develop strategies to promote their broader use while fostering continued learning among providers.

Indexed as

Decision Support Systems, ClinicalDepressionMass ScreeningQuality ImprovementAdultFemaleGuideline AdherenceHumansInterviews as TopicMaleMiddle AgedMinnesotaPrimary Health Carecommunity health servicesdepressionelectronic health recordsprimary health carequality improvement

Identifiers

PMID41314679
PMCPMC12666039

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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.