Evaluates cost-effectiveness in Ethiopian district hospitals, suggesting forecasts for better resource allocation.
The study aims to evaluate the cost-effectiveness of healthcare services in Ethiopian district hospitals by utilising time-series forecasting models. A time-series analysis was employed to model the historical data from Ethiopian district hospitals. The Box-Jenkins methodology was utilised for forecasting purposes, including ARIMA models with robust standard errors provided. The forecasted cost-effectiveness showed a significant decline in healthcare expenditure over the next five years, indicating potential savings if improved resource allocation strategies are implemented. The study concludes that time-series models can effectively predict future costs and outcomes of district hospitals, offering insights for policy-makers to enhance efficiency and effectiveness. Policy-makers should consider implementing cost-saving measures based on the forecasted data to ensure sustainable healthcare services in Ethiopian district hospitals. Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Asgede et al. (2002) studied this question.
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