Gardado en:
| Autor Principal: | |
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| Formato: | Recurso digital |
| Idioma: | inglés |
| Publicado: |
Zenodo
2012
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.5281/zenodo.18944270 |
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Table of Contents:
- <p>Urban primary care networks in Uganda are crucial for delivering essential healthcare services to a growing urban population. However, their effectiveness and clinical outcomes remain under-researched. This study will employ a fixed effects model to analyse longitudinal data from multiple clinics within the network. The model is specified as $y_{it} = eta_0 + eta_1Y_{i,t-1} + eta_2X_{it} + u_i + e_{it}$, where $Y_{i,t-1}$ represents lagged clinical outcomes, and $X_{it}$ includes patient demographics and clinic characteristics. Panel data analysis reveals a significant positive correlation between previous year's clinical outcomes ($Y_{i,t-1}$) and current year's treatment efficacy ($y_{it}$), indicating that effective interventions in one period enhance future performance. The fixed effects model provides robust estimates of the impact of clinic characteristics on patient outcomes, contributing to evidence-based policy recommendations for improving urban primary care networks in Uganda. Policy-makers should prioritise training and resource allocation at clinics with lower treatment efficacy scores identified through this analysis. Urban Primary Care Networks, Panel Data Analysis, Clinical Outcomes, Fixed Effects Model</p>