ArticleJournal of general internal medicine2014
Predictors of primary care management of depression in the Veterans Affairs healthcare system.
Article in Journal of general internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Primary care and mental health providers' perceptions of implementation of pharmacogenetics testing for depression prescribing.BMC psychiatry · 2020Trial
- Patient and Care Team Perspectives of Barriers to and Facilitators for the Implementation of a Digital Health Program for Depression in Primary Care: Qualitative Study.Journal of medical Internet research · 2026Article
- Sustainability of collaborative care management for depression in primary care settings with academic affiliations across New York State.Implementation science : IS · 2018Article
- Visits for Depression to Physician Assistants and Nurse Practitioners in the USA.The journal of behavioral health services & research · 2018Article
- Understanding collaborative care implementation in the Department of Veterans Affairs: core functions and implementation challenges.BMC health services research · 2017Article
- Collaborating in the context of co-location: a grounded theory study.BMC family practice · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary care providers (PCPs) vary in skills to effectively treat depression. Key features of evidence-based collaborative care models (CCMs) include the availability of depression care managers (DCMs) and mental health specialists (MHSs) in primary care. Little is known, however, about the relationships between PCP characteristics, CCM features, and PCP depression care.
objectiveTo assess relationships between various CCM features, PCP characteristics, and PCP depression management.
designCross-sectional analysis of a provider survey.
participants180 PCPs in eight VA sites nationwide. MAIN MEASURES: Independent variables included scales measuring comfort and difficulty with depression care; collaboration with a MHS; self-reported depression caseload; availability of a collocated MHS, and co-management with a DCM or MHS. Covariates included provider type and gender. For outcomes, we assessed PCP self-reported performance of key depression management behaviors in primary care in the past 6 months. KEY
resultsResponse rate was 52 % overall, with 47 % attending physicians, 34 % residents, and 19 % nurse practitioners and physician assistants. Half (52 %) reported greater than eight veterans with depression in their panels and a MHS collocated in primary care (50 %). Seven of the eight clinics had a DCM. In multivariable analysis, significant predictors for PCP depression management included comfort, difficulty, co-management with MHSs and numbers of veterans with depression in their panels.
conclusionsPCPs who felt greater ease and comfort in managing depression, co-managed with MHSs, and reported higher depression caseloads, were more likely to report performing depression management behaviors. Neither a collocated MHS, collaborating with a MHS, nor co-managing with a DCM independently predicted PCP depression management. Because the success of collaborative care for depression depends on the ability and willingness of PCPs to engage in managing depression themselves, along with other providers, more research is necessary to understand how to engage PCPs in depression management.
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