Collaborative care for depression: a literature review and a model for implementation in developing countries

Area of Science:

• Public Health
• Global Health
• Mental Health Services Research

Background:

• Depression is a leading cause of disability globally, particularly in developing countries, with limited effective treatment access.
• Non-communicable diseases like diabetes and hypertension are major causes of mortality in low- and middle-income countries.
• The multicondition collaborative care (MCC) model integrates care for depression with other conditions, demonstrating effectiveness and cost-effectiveness.

Purpose of the Study:

• To propose a public health intervention based on the MCC model for improving depression care in developing countries.
• To evaluate the potential cost-effectiveness of a public health program integrating care for depression, diabetes, and hypertension.

Main Methods:

• The study suggests a public health program implementing the MCC model.
• This program would integrate treatment for unipolar depression, diabetes, and hypertension within a collaborative care framework.
• The approach aims to leverage existing care structures for non-communicable diseases to address depression.

Main Results:

• The MCC model has proven effective and cost-effective for depression in various settings.
• Integrated care for depression and diabetes has shown reductions in hyperglycaemia and improvements in depression-free days.
• A public health MCC program is projected to be a cost-effective strategy for delivering depression treatment.

Conclusions:

• A public health intervention utilizing the MCC model can significantly improve depression care accessibility and effectiveness in developing countries.
• Integrating depression treatment with care for diabetes and hypertension within a public health MCC program offers a cost-effective solution.
• This integrated approach addresses both the leading cause of disability (depression) and major causes of mortality in low- and middle-income countries.