This analysis demonstrates the significant improvement in patient recovery rates in rural Ethiopia, suggesting effective healthcare access gains.
Community health centers in Ethiopia have been established to improve healthcare access in rural areas. However, their effectiveness and operational efficiency are not well understood. A DiD model was employed to analyse pre- and post-intervention data from randomly selected clusters, with baseline characteristics balanced through matching techniques. The analysis revealed a statistically significant improvement in patient recovery rates (p < 0.05) after the implementation of community health centre services compared to non-comparable areas. This study confirms the utility of DiD for evaluating clinical outcomes in resource-limited settings, providing evidence-based insights for future policy development. Future research should consider expanding DiD applications and exploring other intervention metrics such as cost-effectiveness ratios. Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Debresenay et al. (2010) studied this question.
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