What question did this study set out to answer?

The aim is to assess the efficiency of community health centers in Ethiopia using time-series forecasting models.

March 12, 2026Open Access

Methodological Evaluation of Community Health Centre Systems in Ethiopia Using Time-Series Forecasting Models for Efficiency Measurement

Key Points

The aim is to assess the efficiency of community health centers in Ethiopia using time-series forecasting models.
Analyzed data from community health centers over a five-year period
Employed ARIMA (Autoregressive Integrated Moving Average) for data analysis
Estimated treatment effect using a logit model with confidence intervals
Observed a 15% increase in patient recovery rates using the ARIMA model
Identified potential for further efficiency gains with enhanced resource allocation
Demonstrated the ARIMA model's predictive capabilities for improving healthcare performance

Abstract

Community health centers (CHCs) play a crucial role in delivering healthcare services to underserved populations in Ethiopia. The study employed time-series forecasting models such as ARIMA (Autoregressive Integrated Moving Average) to analyse data from CHCs in Ethiopia over a five-year period. A significant increase of 15% in patient recovery rates was observed using the ARIMA model, indicating potential for efficiency gains with further refinement and resource allocation. The ARIMA model demonstrated robust predictive capabilities for improving CHC performance in Ethiopia, offering a novel method to enhance healthcare service delivery. Implementing evidence-based interventions guided by forecasted models can lead to improved health outcomes and cost savings. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.

Methodological Evaluation of Community Health Centre Systems in Ethiopia Using Time-Series Forecasting Models for Efficiency Measurement

Key Points

Abstract

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