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Dataset Information

Systems analysis and improvement approach to optimize outpatient mental health treatment cascades in Mozambique (SAIA-MH): study protocol for a cluster randomized trial.


ABSTRACT:

Background

Significant investments are being made to close the mental health (MH) treatment gap, which often exceeds 90% in many low- and middle-income countries (LMICs). However, limited attention has been paid to patient quality of care in nascent and evolving LMIC MH systems. In system assessments across sub-Saharan Africa, MH loss-to-follow-up often exceeds 50% and sub-optimal medication adherence often exceeds 60%. This study aims to fill a gap of evidence-based implementation strategies targeting the optimization of MH treatment cascades in LMICs by testing a low-cost multicomponent implementation strategy integrated into routine government MH care in Mozambique.

Methods

Using a cluster-randomized trial design, 16 clinics (8 intervention and 8 control) providing primar

SUBMITTER: Cumbe VFJ 

PROVIDER: S-EPMC9169330 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature