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✪ Successful ingredients of effective Collaborative Care programs in low- and middle-income countries: A rapid review

Authors:

Jessica Whitfield, Shanise Owens, Amritha Bhat, Bradford Felker, Teresa Jewell & Lydia Chwastiak

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: March 2023

Read the full text in the open access journal Cambridge University Press

Abstract:

Integrating mental health care in primary healthcare settings is a compelling strategy to address the mental health treatment gap in low- and middle-income countries (LMICs). Collaborative Care is the integrated care model with the most evidence supporting its effectiveness, but most research has been conducted in high-income countries. Efforts to implement this complex multi-component model at scale in LMICs will be enhanced by understanding the model components that have been effective in LMIC settings.

Following Cochrane Rapid Reviews Methods Group recommendations, we conducted a rapid review to identify studies of the effectiveness of Collaborative Care for priority adult mental disorders of mhGAP (mood and anxiety disorders, psychosis, substance use disorders and epilepsy) in outpatient medical settings in LMICs. Article screening and data extraction were performed using Covidence software. Data extraction by two authors utilized a checklist of key components of effective interventions. Information was aggregated to examine how frequently the components were applied.

Our search yielded 25 articles describing 20 Collaborative Care models that treated depression, anxiety, schizophrenia, alcohol use disorder or epilepsy in nine different LMICs. Fourteen of these models demonstrated statistically significantly improved clinical outcomes compared to comparison groups. Successful models shared key structural and process-of-care elements: a multi-disciplinary care team with structured communication; standardized protocols for evidence-based treatments; systematic identification of mental disorders, and a stepped-care approach to treatment intensification. There was substantial heterogeneity across studies with respect to the specifics of model components, and clear evidence of the importance of tailoring the model to the local context.

This review provides evidence that Collaborative Care is effective across a range of mental disorders in LMICs. More work is needed to demonstrate population-level and longer-term outcomes, and to identify strategies that will support successful and sustained implementation in routine clinical settings.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Longitudinal Remote Coaching for Implementation of Perinatal Collaborative Care: A Mixed-Methods Analysis

Authors:

Amritha Bhat, Ian M. Bennett, Amy M. Bauer, Rinad S. Beidas, Whitney Eriksen, Frances K. Barg, Rachel Gold, Jürgen Unützer

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: January 2020

Read the full text in the open access journal Psychiatric Services

Abstract:

The collaborative care model (CoCM) is a multicomponent, team-based integrated behavioral health framework. Its effectiveness in the treatment of perinatal depression is established, but implementation has been limited. The authors used longitudinal remote coaching (LRC) as a novel implementation strategy to support systematic case review in a multistate cluster-randomized trial of CoCM for perinatal depression. They describe LRC for perinatal CoCM in three clinics and use of a mixed-methods analysis of data from LRC feedback forms and interviews with participants. LRC is a scalable implementation strategy with potential to support complex models of integrated behavioral health, such as perinatal CoCM.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**