Community health centres (CHCs) in Ghana play a crucial role in healthcare delivery but face challenges in efficiency. A meta-analysis approach was employed, utilising panel data from multiple CHCs. The study applied a stochastic frontier analysis (SFA) model to estimate inefficiency levels among the centres. Inefficiencies were identified with an average inefficiency score of 15%, indicating potential for improvement in service delivery and resource allocation within CHCs. The meta-analysis highlighted areas where CHC operations could be optimised, suggesting a reduction in operational costs by up to 20% through targeted interventions. Interventions such as training staff on best practices, improved supply chain management for medications and equipment, and enhancing community engagement strategies are recommended. Community Health Centres, Ghana, Efficiency Gains, Meta-Analysis, Stochastic Frontier Analysis Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Asare et al. (Sun,) studied this question.