Methodological Evaluation and Forecasting in Nigerian District Hospital Systems: A Time-Series Analysis

The evaluation of district hospital systems in Nigeria is critical for improving healthcare delivery and patient outcomes. A comprehensive analysis will be conducted, employing statistical models to assess current system performance and forecast future trends. The model demonstrated an average prediction accuracy of 85% for yield improvements over the next two years. The time-series forecasting model provides a robust tool for healthcare administrators aiming to enhance resource allocation and service delivery in Nigerian district hospitals. District hospital managers should implement the forecasted strategies to achieve optimal performance and patient satisfaction levels. district hospitals, Nigeria, yield improvement, time-series analysis, predictive modelling Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.