Effective Components of Collaborative Care for Depression in Primary Care
Authors: Hannah Schillok, Jochen Gensichen, Maria Panagioti, Jane Gunn, Lukas Junker, Karoline Lukaschek, Caroline Jung-Sievers, Philipp Sterner, Lukas Kaupe, Tobias Dreischulte, Mohammed K. Ali, Enric Aragonès, David B. Bekelman, Birgit Herbeck Belnap, Robert M. Carney, Lydia A. Chwastiak, Peter A. Coventry, Karina W. Davidson, Maria L. Ekstrand, Alison Flehr, Susan Fletcher, Lars P. Hölzel, Klaas Huijbregts, Viswanathan Mohan, Vikram Patel, David A. Richards, Bruce L. Rollman, Chris Salisbury, Gregory E. Simon, Krishnamachari Srinivasan, Jürgen Unützer, Kenneth B. Wells, Thomas Zimmermann, Markus Bühner, Markus Bühner, Tobias Dreischulte, Peter Falkai, Jochen Gensichen, Peter Henningsen, Caroline Jung-Sievers, Helmut Krcmar, Kirsten Lochbühler, Karoline Lukaschek, Gabriele Pitschel-Walz, Barbara Prommegger, Antonius Schneider, Andrea Schmitt, Katharina Biersack, Vita Brisnik, Christopher Ebert, Julia Eder, Feyza Gökce, Carolin Haas, Lisa Pfeiffer, Lukas Kaupe, Jonas Raub, Philipp Reindl-Spanner, Petra Schönweger, Clara Teusen, Marie Vogel, Victoria von Schrottenberg, Jochen Vukas, Puya Younesi, Hannah Schillok
Journal: JAMA Psychiatry (2025)

Importance Collaborative care is a multicomponent intervention for patients with chronic disease in primary care. Previous meta-analyses have proven the effectiveness of collaborative care for depression; however, individual participant data (IPD) are needed to identify which components of the intervention are the principal drivers of this effect. Objective To assess which components of collaborative care are the biggest drivers of its effectiveness in reducing symptoms of depression in primary care. Data Sources Data were obtained from MEDLINE, Embase, Cochrane Library, PubMed, and PsycInfo as well as references of relevant systematic reviews. Searches were conducted in December 2023, and eligible data were collected until March 14, 2024. Study Selection Two reviewers assessed for eligibility. Randomized clinical trials comparing the effect of collaborative care and usual care among adult patients with depression in primary care were included. Data Extraction and Synthesis The study was conducted according to the IPD guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline. IPD were collected for demographic characteristics and depression outcomes measured at baseline and follow-ups from the authors of all eligible trials. Using IPD, linear mixed models with random nested effects were calculated. Main Outcomes and Measures Continuous measure of depression severity was assessed via validated self-report instruments at 4 to 6 months and was standardized using the instrument’s cutoff value for mild depression. Results A total of 35 datasets with 38 comparisons were analyzed (N = 20 046 participants [57.3% of all eligible, with minimal differences in baseline characteristics compared with nonretrieved data]; 13 709 [68.4%] female; mean [SD] age, 50.8 [16.5] years). A significant interaction effect with the largest effect size was found between the depression outcome and the collaborative care component therapeutic treatment strategy (−0.07; P &amp;amp;lt; .001). This indicates that this component, including its key elements manual-based psychotherapy and family involvement, was the most effective component of the intervention. Significant interactions were found for all other components, but with smaller effect sizes. Conclusions and Relevance Components of collaborative care most associated with improved effectiveness in reducing depressive symptoms were identified. To optimize treatment effectiveness and resource allocation, a therapeutic treatment strategy, such as manual-based psychotherapy or family integration, may be prioritized when implementing a collaborative care intervention.