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Estimating the coverage of mental health programmes: a systematic review
Mary J De Silva1, Lucy Lee, Daniela C Fuhr
1Centre for Global Mental Health, London School of Hygiene and Tropical Medicine, London, UK, Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK and Sangath, Alto-Porvorim, Goa, India.
International Journal of Epidemiology
|April 25, 2014
Summary
Estimating mental health service coverage is crucial for scaling up care. Few studies exist, but combining routine data with national surveys offers a low-cost solution for tracking progress.
Area of Science:
- Mental Health Services Research
- Public Health Policy
- Health Systems Strengthening
Background:
- Significant treatment gap exists for mental disorders globally.
- Initiatives aim to scale up mental health services to address this gap.
- Accurate programme coverage estimates are essential for monitoring progress.
Purpose of the Study:
- To systematically review methods for estimating mental health programme coverage.
- To assess available data on contact coverage and effective coverage.
- To identify feasible methods for coverage estimation in programme evaluations.
Main Methods:
- Systematic review of mental health programme evaluations up to March 2013.
- Searched electronic databases, grey literature, and contacted experts.
- Reviewed methods for estimating service utilization (numerator) and target population (denominator).
Main Results:
- Only seven studies met inclusion criteria out of 15,735 records.
- All studies reported contact coverage; effective coverage was estimated in only one.
- Service utilization was mostly estimated from routine clinical data; denominator estimation methods varied.
Conclusions:
- There is a scarcity of available mental health service coverage estimates.
- Low-cost estimation is possible by integrating routine programme data with national population prevalence.
- This approach can facilitate tracking progress in scaling up mental health services.
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