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Systems Analysis and Improvement Approach to Optimize Task-Shifted Mental Health Diagnosis and Treatment Cascades (SAIA-MH)

PROJECT COUNTRY PROJECT LEADERSHIP
Mozambique Bradley Wagenaar, MPH, PhD
Kenneth Sherr, MPH, PhD
Bryan Weiner, PhD
Vasco Cumbe, MD, MS, PhDc

Description

This implementation research project aims to adapt an evidence-based Systems Analysis and Improvement Approach (SAIA) for use in global mental health systems improvement (SAIA-MH). This award will result in pilot SAIA-MH data and tools that can be more rigorously tested in a future pragmatic health systems trial with the ultimate goal of improving the delivery of high-quality evidence-based mental healthcare in low-resource settings globally.
Our specific aims are to: (1) adapt cascade analysis indicators and data tools to SAIA-MH, and assess their usability and feasibility among end-users; and (2) pilot-test the effectiveness, practicality, and process fidelity of the full SAIA-MH cascade analysis, process mapping, and associated task-shared mental health quality improvement approaches. The Consolidated Framework for Implementation Research will guide implementation outcome measurement to understand inner setting, intervention, and process constructs affecting SAIA-MH implementation.

Project dates

2017-2019