Methodological Evaluation of District Hospitals Systems in Rwanda Using Difference-in-Differences Model for Yield Improvement Assessment
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2013
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| _version_ | 1866901626752598016 |
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| author | Kizito, Ingabiriro Nshuti, Kabuye Nsagwa, Murimwami |
| author_facet | Kizito, Ingabiriro Nshuti, Kabuye Nsagwa, Murimwami |
| contents | <p>Rwanda's district hospitals play a crucial role in healthcare delivery but face challenges related to resource allocation and service efficiency. A DiD model will be applied, leveraging pre- and post-intervention data from a selection of district hospitals to measure yield improvements. The preliminary analysis suggests that implementing targeted interventions in certain areas led to an increase in patient throughput by approximately 15% over the study period. The DiD model demonstrated robustness in identifying yield improvement trends but requires further validation with a larger sample size and comprehensive data integration. Further research should explore scalability of these findings across other regions and consider additional factors affecting system performance. district hospitals, Rwanda, difference-in-differences (DiD), healthcare systems, yield improvement Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18986307 |
| institution | Zenodo |
| language | eng |
| publishDate | 2013 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of District Hospitals Systems in Rwanda Using Difference-in-Differences Model for Yield Improvement Assessment Kizito, Ingabiriro Nshuti, Kabuye Nsagwa, Murimwami African geography district hospitals intervention study yield improvement difference-in-differences econometrics healthcare delivery <p>Rwanda's district hospitals play a crucial role in healthcare delivery but face challenges related to resource allocation and service efficiency. A DiD model will be applied, leveraging pre- and post-intervention data from a selection of district hospitals to measure yield improvements. The preliminary analysis suggests that implementing targeted interventions in certain areas led to an increase in patient throughput by approximately 15% over the study period. The DiD model demonstrated robustness in identifying yield improvement trends but requires further validation with a larger sample size and comprehensive data integration. Further research should explore scalability of these findings across other regions and consider additional factors affecting system performance. district hospitals, Rwanda, difference-in-differences (DiD), healthcare systems, yield improvement Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p> |
| title | Methodological Evaluation of District Hospitals Systems in Rwanda Using Difference-in-Differences Model for Yield Improvement Assessment |
| topic | African geography district hospitals intervention study yield improvement difference-in-differences econometrics healthcare delivery |
| url | https://doi.org/10.5281/zenodo.18986307 |