Nigeria's district hospital systems face challenges in delivering consistent clinical outcomes due to resource constraints and varying quality control measures. A systematic review will be conducted, analysing existing studies that applied difference-in-differences models to measure clinical outcomes across different districts. The methodologies employed in these studies will be scrutinized for their robustness and validity. One district hospital showed a statistically significant improvement (p < 0. 05) in patient recovery rates when using the difference-in-differences model compared to baseline conditions, indicating potential effectiveness of this method. The use of difference-in-differences models appears promising for evaluating clinical outcomes in Nigerian district hospitals, though further empirical research is needed to confirm these findings across a broader sample. Future studies should validate the robustness of difference-in-differences models by incorporating larger datasets and conducting sensitivity analyses. Policy makers should consider integrating these methods into hospital performance evaluation frameworks. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ifokwe et al. (Sun,) studied this question.
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