Methodological Evaluation of District Hospitals Systems in Rwanda Using Panel Data for Adoption Rate Measurement
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2000
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| _version_ | 1866901829007179776 |
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| author | Rutayisire, Ernest Umugiraneza, Victoire Mukinzi, Kizito Nkuba, Nadine |
| author_facet | Rutayisire, Ernest Umugiraneza, Victoire Mukinzi, Kizito Nkuba, Nadine |
| contents | <p>Rwanda is implementing a national health programme to enhance access to healthcare services across its districts. District hospitals play a crucial role in this programme but require systematic evaluation of their adoption rates. A panel-data approach was employed to analyse data from multiple districts over time. The study utilised logistic regression models with robust standard errors to estimate adoption rates. The analysis revealed a significant variation in adoption rates across different regions, with some hospitals demonstrating higher uptake of new technologies compared to others (e.g., adoption rate for electronic health records was 75% in one district). Panel data estimation successfully identified patterns and disparities in the adoption of healthcare innovations among Rwandan districts. Based on findings, targeted interventions are recommended to improve adoption rates in lagging areas, such as providing additional training for staff or improving infrastructure. Rwanda, district hospitals, panel data, logistic regression, adoption rate 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_18704958 |
| institution | Zenodo |
| language | eng |
| publishDate | 2000 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of District Hospitals Systems in Rwanda Using Panel Data for Adoption Rate Measurement Rutayisire, Ernest Umugiraneza, Victoire Mukinzi, Kizito Nkuba, Nadine District hospitals Health systems reform Panel data Econometrics Access indicators Service delivery Geographic information systems <p>Rwanda is implementing a national health programme to enhance access to healthcare services across its districts. District hospitals play a crucial role in this programme but require systematic evaluation of their adoption rates. A panel-data approach was employed to analyse data from multiple districts over time. The study utilised logistic regression models with robust standard errors to estimate adoption rates. The analysis revealed a significant variation in adoption rates across different regions, with some hospitals demonstrating higher uptake of new technologies compared to others (e.g., adoption rate for electronic health records was 75% in one district). Panel data estimation successfully identified patterns and disparities in the adoption of healthcare innovations among Rwandan districts. Based on findings, targeted interventions are recommended to improve adoption rates in lagging areas, such as providing additional training for staff or improving infrastructure. Rwanda, district hospitals, panel data, logistic regression, adoption rate 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 Panel Data for Adoption Rate Measurement |
| topic | District hospitals Health systems reform Panel data Econometrics Access indicators Service delivery Geographic information systems |
| url | https://doi.org/10.5281/zenodo.18704958 |