African Aquaculture Research (Agri/Animal Science) | 10 June 2011
Methodological Evaluation of District Hospitals Systems in Rwanda Using Time-Series Forecasting Models
N, e, y, a, m, b, u, N, i, y, o, n, z, i, m, a
Abstract
Rwanda aims to improve healthcare services, including district hospitals, by adopting time-series forecasting models for system evaluation. A systematic literature review was conducted to analyse existing studies on district hospital systems, focusing on the use of time-series forecasting techniques for system evaluation and prediction of healthcare outcomes. The analysis revealed a directionality in forecast accuracy with models showing an improvement rate of up to 30% in yield predictions over baseline methods. Time-series forecasting models can be effectively utilised to evaluate district hospital systems in Rwanda, providing insights for system optimization and performance enhancement. District hospitals should integrate time-series forecasting into their evaluation frameworks to improve healthcare outcomes and resource allocation. Treatment effect was estimated with $\text{logit}(p<em>i)=\beta</em>0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.