Community health centres (CHCs) play a crucial role in providing accessible healthcare services to underserved populations, particularly in rural and remote areas of Rwanda. A mixed-methods approach combining quantitative data analysis and qualitative interviews was employed. The study used a difference-in-differences (DID) econometric model to assess changes in patient flow before and after the implementation of new operational protocols. The DID regression revealed an average increase in CHC patient visits by 15% post-protocol implementation, with significant reductions in wait times for common procedures. The quasi-experimental design provided robust evidence supporting the effectiveness of the new operational protocols in enhancing service efficiency and accessibility. Based on these findings, recommendations for further policy development include optimising resource allocation and training staff to improve service delivery. Community health centres, Efficiency gains, Quasi-experimental design, Difference-in-differences (DID), Patient flow Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Karuhairi et al. (Wed,) studied this question.