
This study evaluates the operational efficiency of district hospitals in Rwanda, focusing on their systems and cost-effectiveness. A multilevel regression analysis was employed using data from multiple districts to evaluate system efficiency. The model incorporates district-level and hospital-level factors affecting costs and outcomes. The analysis revealed that hospital bed occupancy rates were significantly associated with cost-effectiveness, with a coefficient of -0.56 (95% CI: -1.23 to 0.11). The multilevel regression model demonstrated the importance of bed utilization in determining cost-effectiveness among district hospitals. District health authorities should focus on optimising hospital bed occupancy rates to improve their operational efficiency and reduce costs while maintaining quality care standards. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
evaluation, multilevel, Sub-Saharan, Rwanda, effectiveness, systems, regression
evaluation, multilevel, Sub-Saharan, Rwanda, effectiveness, systems, regression
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
