ArticlePsychiatric services (Washington, D.C.)2016
Unpacking Collaborative Care for Depression: Examining Two Essential Tasks for Implementation.
Article in Psychiatric services (Washington, D.C.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Real-world implementation of Collaborative Care in the United States: a systematic review.BMC primary care · 2026Pooled it
- Association of collaborative care intervention features with depression and metabolic outcomes in the INDEPENDENT study: A mixed methods study.Primary care diabetes · 2024Trial
- Pilot randomized controlled trial of a hospital-based substance use treatment and recovery team (START) to improve initiation of medication for alcohol or opioid use disorder and linkage to follow-up care.Journal of substance use and addiction treatment · 2023Trial
- Trial
- Technology-enabled collaborative care management of depression in urban and rural cancer centers: Protocol and baseline results from the SCOPE pragmatic hybrid effectiveness-implementation trial.Contemporary clinical trials · 2026Article
- Human-centered AI in healthcare teams: integrating clinical oversight, EHR auditability, and reimbursement pathways for responsible adoption.Frontiers in digital health · 2026Review
- Cluster randomized trial of a team communication training implementation strategy for depression screening in a pediatric healthcare system: a study protocol.Implementation science communications · 2024Article
- Collaborative Care for Depression and Anxiety: Racial-Ethnic Differences in Treatment Engagement and Outcomes.Psychiatric services (Washington, D.C.) · 2024Article
- Core Components and Implementation Determinants of Multilevel Service Delivery Frameworks Across Child Mental Health Service Settings.Administration and policy in mental health · 2024Article
- Collaborative Mental Health Care in Canada: Challenges, Opportunities and New Directions.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2023Article
- A theory-informed, rapid cycle approach to identifying and adapting strategies to promote sustainability: optimizing depression treatment in primary care clinics seeking to sustain collaborative care (The Transform DepCare Study).Implementation science communications · 2023Article
- The Substance Use Treatment and Recovery Team (START) study: protocol for a multi-site randomized controlled trial evaluating an intervention to improve initiation of medication and linkage to post-discharge care for hospitalized patients with opioid use disorder.Addiction science & clinical practice · 2022Article
- Care Management of Comorbid Medical and Psychiatric Illness: A Conceptual Framework for Improving Equity of Care.Population health management · 2022Review
- Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review.JMIR mental health · 2022Article
- Technology-Assisted Collaborative Care Program for People with Diabetes and/or High Blood Pressure Attending Primary Health Care: A Feasibility Study.International journal of environmental research and public health · 2021Article
- Collaborative care for depression management in primary care: A randomized roll-out trial using a type 2 hybrid effectiveness-implementation design.Contemporary clinical trials communications · 2021Article
- A collaborative, computer-assisted, psycho-educational intervention for depressed patients with chronic disease at primary care: protocol for a cluster randomized controlled trial.BMC psychiatry · 2021Article
- Article
- Integrating Mental Health and Addiction Treatment Into General Medical Care: The Role of Policy.Psychiatric services (Washington, D.C.) · 2020Article
- The Role of the Patient-Centered Medical Home in Treating Depression.Current psychiatry reports · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveThis study examined how two key process-of-care tasks of the collaborative care model (CCM) predict patient depression outcomes.
methodsRegistry data were from a large implementation of the CCM in Washington State and included 5,439 patient-episodes for patients age 18 or older with a baseline Patient Health Questionnaire-9 (PHQ-9) score of ≥10 and at least one follow-up contact with the CCM care manager within 24 weeks of initial contact. Key CCM tasks examined were at least one care manager follow-up contact within four weeks of initial contact and at least one psychiatric consultation between weeks 8 and 12 for patients not responding to treatment by week 8. Clinically significant improvement in depression symptoms was defined as achieving a PHQ-9 score of <10 or a 50% or more reduction in PHQ-9 score compared with baseline. Bivariate and multivariate (logistic and proportional hazard models) analyses were conducted to examine how fidelity with either task predicted outcomes. All analyses were conducted with the original sample and with a propensity score-matched sample.
resultsFour-week follow-up was associated with a greater likelihood of achieving improvement in depression (odds ratio [OR]=1.63, 95% confidence interval [CI]=1.23-2.17) and a shorter time to improvement (hazard ratio=2.06, CI=1.67-2.54). Psychiatric consultation was also associated with a greater likelihood of improvement (OR=1.44, CI=1.13-1.84) but not with a shorter time to improvement. Propensity score-matched analysis yielded very similar results.
conclusionsFindings support efforts to improve fidelity to the two process-of-care tasks and to include these tasks among quality measures for CCM implementation.
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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.