ArticleJournal of general internal medicine2016
Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data.
Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- What do primary care clinicians and patients think about internet-based computerized cognitive behavioral therapy for depression? A qualitative study from the Veterans Health Administration.Psychological services · 2025Article
- Primary care mental health integration to improve early treatment engagement for veterans who screen positive for depression.Health services research · 2024Article
- The Evaluation of a Web-Based Intervention (Deprexis) to Decrease Depression and Restore Functioning in Veterans: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2024Article
- Depression care quality among patients with solid tumor cancers detected to have depression in Veterans Health Administration primary care clinics.Psychological services · 2023Article
- Quality of Depression Care for Veterans Affairs Primary Care Patients with Experiences of Homelessness.Journal of general internal medicine · 2023Article
- Assessment of Outcome-Based Measures of Depression Care Quality in Veterans Health Administration Facilities.The journal of behavioral health services & research · 2023Article
- Electronic Population-Based Depression Detection and Management Through Universal Screening in the Veterans Health Administration.JAMA network open · 2022Article
- Psychotherapy and depressive symptom trajectories among VA patients: Comparing dose-effect and good-enough level models.Journal of consulting and clinical psychology · 2021Article
- Collaborative care clinician perceptions of computerized cognitive behavioral therapy for depression in primary care.Translational behavioral medicine · 2020Article
- The Next Generation of Clinical Performance Measures.Journal of general internal medicine · 2016Article
- Improving the Quality of Quality Measurement.Journal of general internal medicine · 2016Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Veterans Health Administration (VA) has invested substantially in evidence-based mental health care. Yet no electronic performance measures for assessing the level at which the population of Veterans with depression receive appropriate care have proven robust enough to support rigorous evaluation of the VA's depression initiatives.
objectiveOur objectives were to develop prototype longitudinal electronic population-based measures of depression care quality, validate the measures using expert panel judgment by VA and non-VA experts, and examine detection, follow-up and treatment rates over a decade (2000-2010). We describe our development methodology and the challenges to creating measures that capture the longitudinal course of clinical care from detection to treatment. DESIGN AND
participantsData come from the National Patient Care Database and Pharmacy Benefits Management Database for primary care patients from 1999 to 2011, from nine Veteran Integrated Service Networks. MEASURES: We developed four population-based quality metrics for depression care that incorporate a 6-month look back and 1-year follow-up: detection of a new episode of depression, 84 and 180 day follow-up, and minimum appropriate treatment 1-year post detection. Expert panel techniques were used to evaluate the measure development methodology and results. Key challenges to creating valid longitudinal measures are discussed. KEY
resultsOver the decade, the rates for detection of new episodes of depression remained stable at 7-8 %. Follow-up at 84 and 180 days were 37 % and 45 % in 2000 and increased to 56 % and 63 % by 2010. Minimum appropriate treatment remained relatively stable over the decade (82-84 %).
conclusionsThe development of valid longitudinal, population-based quality measures for depression care is a complex process with numerous challenges. If the full spectrum of care from detection to follow-up and treatment is not captured, performance measures could actually mask the clinical areas in need of quality improvement efforts.
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