Community health centres (CHCs) play a crucial role in Rwanda's healthcare system, aiming to improve access and quality of care for underserved populations. However, their effectiveness varies significantly across different regions. A mixed-methods approach was employed, combining quantitative data from health centre performance metrics with qualitative insights gathered through interviews and focus group discussions. A difference-in-differences (DiD) regression model was used to estimate the causal impact of CHC interventions on key health indicators. The DiD analysis revealed a statistically significant increase in vaccination coverage by 15% over two years, with robust standard errors indicating reliable estimates. Quasi-experimental designs offer valuable insights into the operational efficiency and effectiveness of community health centres without requiring control groups or large-scale randomization. Expanding CHC networks in underserved areas could further leverage these findings to reduce disparities in healthcare access. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Masakara et al. (Fri,) studied this question.