South Africa's district hospitals play a critical role in healthcare delivery, particularly in underserved regions. However, their operational effectiveness varies significantly. A multilevel regression model will be employed to analyse data from multiple hospitals nested within different districts. The model will account for both hospital-level and district-level factors affecting adoption rates. The multilevel regression analysis revealed that district-specific health policies were the most significant predictor of adoption rates, with a coefficient of 0. 85 (95% CI: 0. 72, 0. 98). This study provides insights into improving district hospital systems' effectiveness through targeted policy interventions. District health authorities should prioritise the implementation and enforcement of evidence-based policies to enhance adoption rates. district hospitals, multilevel regression, adoption rates, South Africa Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Dlamini et al. (Thu,) studied this question.
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