African Medical Laboratory Chemistry

Advancing Scholarship Across the Continent

Vol. 2005 No. 1 (2005)

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Time-Series Forecasting Model for Evaluating Community Health Centre Systems in Ghana,

Yaw Asante, Department of Internal Medicine, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi
DOI: 10.5281/zenodo.18809845
Published: November 24, 2005

Abstract

Community health centres in Ghana have faced challenges in service delivery over time. The study employed a time-series analysis using an ARIMA model to predict future performance based on historical data from to the present. A significant decrease (p < 0.01) was observed in patient wait times, indicating improved system efficiency over the decade. The time-series forecasting model accurately predicted service trends and could guide future resource allocation strategies for community health centres in Ghana. Community health centre managers should focus on enhancing telemedicine services to reduce physical waiting times. community health centres, ARIMA model, patient wait times, reliability assessment Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

How to Cite

Yaw Asante (2005). Time-Series Forecasting Model for Evaluating Community Health Centre Systems in Ghana,. African Medical Laboratory Chemistry, Vol. 2005 No. 1 (2005). https://doi.org/10.5281/zenodo.18809845

Keywords

GeographicSub-SaharanPublic HealthTime-SeriesARIMAEvaluationForecasting

References