Methodological Evaluation of District Hospitals Systems in Ethiopia Using Time-Series Forecasting Models
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2010
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| _version_ | 1866901817834602496 |
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| author | Assefa, Woldegebriel Teklehaimanot, Mulugeta Abay, Yared |
| author_facet | Assefa, Woldegebriel Teklehaimanot, Mulugeta Abay, Yared |
| contents | <p>District hospitals in Ethiopia face challenges in managing patient flow and resource allocation effectively. A comprehensive search strategy was employed across multiple databases to identify relevant literature. Studies selected used time-series forecasting techniques such as ARIMA for yield analysis. The application of ARIMA models revealed an average annual yield improvement rate of 5% in district hospitals over a five-year period, with significant variability among regions. Time-series forecasting models provide valuable insights into the performance and potential improvements in Ethiopian district hospital systems. Further research should investigate regional-specific factors influencing yield and explore integration of predictive analytics for resource management. 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_18904935 |
| institution | Zenodo |
| language | eng |
| publishDate | 2010 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of District Hospitals Systems in Ethiopia Using Time-Series Forecasting Models Assefa, Woldegebriel Teklehaimanot, Mulugeta Abay, Yared Sub-Saharan healthcare management forecasting econometrics resource allocation performance measurement geographic information systems <p>District hospitals in Ethiopia face challenges in managing patient flow and resource allocation effectively. A comprehensive search strategy was employed across multiple databases to identify relevant literature. Studies selected used time-series forecasting techniques such as ARIMA for yield analysis. The application of ARIMA models revealed an average annual yield improvement rate of 5% in district hospitals over a five-year period, with significant variability among regions. Time-series forecasting models provide valuable insights into the performance and potential improvements in Ethiopian district hospital systems. Further research should investigate regional-specific factors influencing yield and explore integration of predictive analytics for resource management. 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 Ethiopia Using Time-Series Forecasting Models |
| topic | Sub-Saharan healthcare management forecasting econometrics resource allocation performance measurement geographic information systems |
| url | https://doi.org/10.5281/zenodo.18904935 |