Vol. 2004 No. 1 (2004)

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Bayesian Hierarchical Model for Measuring Cost-Effectiveness in Community Health Centres Systems of Ethiopia: A Methodological Evaluation

Fekadu Negusse, Addis Ababa Science and Technology University (AASTU) Mulugeta Tsegaye, Addis Ababa Science and Technology University (AASTU) Weymessa Berhe, Addis Ababa Science and Technology University (AASTU) Aberra Asfaw, Department of Public Health, Addis Ababa Science and Technology University (AASTU)
DOI: 10.5281/zenodo.18794930
Published: September 28, 2004

Abstract

Community health centres in Ethiopia face challenges related to cost-effectiveness, necessitating an evaluation of their systems. A Bayesian hierarchical model was employed to analyse data from Ethiopian community health centres, aiming to identify cost-effective interventions within the system. The analysis revealed that integrating telemedicine services into existing health centre operations had a significant positive impact on patient outcomes and reduced costs by 15% (95% credible interval: -20% to -10%). This study demonstrates the effectiveness of Bayesian hierarchical models in enhancing understanding of cost-effectiveness within community health systems. The findings suggest that policymakers should consider integrating telemedicine into community health centre operations as a viable strategy for improving efficiency and patient care. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

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How to Cite

Fekadu Negusse, Mulugeta Tsegaye, Weymessa Berhe, Aberra Asfaw (2004). Bayesian Hierarchical Model for Measuring Cost-Effectiveness in Community Health Centres Systems of Ethiopia: A Methodological Evaluation. African Medical Biotechnology (Applied Science/Tech), Vol. 2004 No. 1 (2004). https://doi.org/10.5281/zenodo.18794930

Keywords

African geographyBayesian statisticsHierarchical modellingCost-effectiveness analysisEpidemiologyPublic healthRegression analysis

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Vol. 2004 No. 1 (2004)
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African Medical Biotechnology (Applied Science/Tech)

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