Depression is a prevalent and debilitating mental health condition that is relatively common in almost all countries around the world, including Viet Nam, and is one of the largest burdens of health. Although effective treatments exist, many with depression do not receive appropriate care. Consequently, policy efforts around the world are focused on scaling up evidence-based care for depression. In Vietnam, numerous barriers exist to implementation of evidence-based mental health services but recently there has been growing recognition of the need to address the treatment gap.

In order to close the treatment gap for depression, within the health care system, effective depression care needs to be scaled up to a wider network of community health stations that are supported by the local psychiatric hospitals. However, it is not clear what is the best implementation model for supporting depression care in primary care settings, the added value and effectiveness of adding additional implementation supports, such as supervision and community learning collaboratives may be, as well as what factors might contribute to adoption, implementation quality, and sustainability when depression care is taken to scale.   

The aim of this project is to evaluate three different models of implementing depression care:

Usual Implementation (UI) which includes basic depression workshop, limited technical assistance, and toolkits

Enhanced Supervision (ES) which includes UI and additional supervision from local supervisors

Community Engaged Learning Collaborative (CELC) which includes ES combined with a community network of providers who are using continuous quality improvement strategies

We will assess the impact of these models on adoption, implementation quality, and sustainability of depression care across two provinces in Vietnam.