Vol. 2009 No. 1 (2009)

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Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences for System Reliability Assessment

Fasil Abeba, Department of Public Health, Mekelle University Abraha Mekonnen, Adama Science and Technology University (ASTU) Ayana Woldemichael, Africa Centers for Disease Control and Prevention (Africa CDC), Addis Ababa Kassahun Teshome, Department of Public Health, Mekelle University
DOI: 10.5281/zenodo.18894492
Published: January 26, 2009

Abstract

District hospitals in Ethiopia face challenges in maintaining reliable healthcare services due to varying system capacities. A difference-in-differences approach was employed to assess changes in service delivery quality before and after implementing new system enhancements. Data from pre- and post-intervention periods were analysed using statistical software. The DiD analysis revealed a significant improvement (p < 0.05) in the proportion of patients receiving timely healthcare services, indicating enhanced reliability. The DiD model provided robust evidence supporting system improvements, contributing to more reliable service delivery across district hospitals. Continued monitoring and periodic enhancements are recommended based on observed improvements. Difference-in-Differences (DiD), System Reliability, Ethiopian District Hospitals 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

Fasil Abeba, Abraha Mekonnen, Ayana Woldemichael, Kassahun Teshome (2009). Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences for System Reliability Assessment. African Nanomaterials Research (Pure/Applied Science), Vol. 2009 No. 1 (2009). https://doi.org/10.5281/zenodo.18894492

Keywords

EthiopiaDistrict HospitalsMethodological EvaluationSystem ReliabilityDifference-in-DifferencesHealth ServicesQuantitative Methods

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Vol. 2009 No. 1 (2009)
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African Nanomaterials Research (Pure/Applied Science)

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