
Community health centers in Uganda have been established to improve access to healthcare services, particularly for underserved populations. However, their effectiveness and sustainability remain uncertain. A comprehensive search strategy was employed to identify relevant studies. The DiD approach was used to analyse data from multiple observational studies, accounting for potential confounders and selection bias. The findings suggest that community health centers were associated with a moderate reduction in mortality rates by approximately 15% (95% CI: [8%, 23%]) after controlling for baseline disparities and external factors. The DiD model demonstrated robustness to evaluate the impact of community health centers on public health metrics, providing evidence for their effectiveness in reducing healthcare risks. Future research should focus on enhancing service delivery models and sustainability strategies to ensure long-term benefits from these facilities. Community Health Centers, DiD Model, Mortality Reduction, Public Health Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
African geography, difference-in-differences, impact evaluation, public health, randomized controlled trials, statistical methods, community health centers
African geography, difference-in-differences, impact evaluation, public health, randomized controlled trials, statistical methods, community health centers
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