Methodological Evaluation of Urban Primary Care Networks in Uganda: Estimating Clinical Outcomes Using Panel Data Analysis
Fuente:
Zenodo
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Recurso digital |
| Langue: | anglais |
| Publié: |
Zenodo
2012
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866901661877796864 |
|---|---|
| author | Kiyaga, James |
| author_facet | Kiyaga, James |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18944270 |
| institution | Zenodo |
| language | eng |
| publishDate | 2012 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Urban Primary Care Networks in Uganda: Estimating Clinical Outcomes Using Panel Data Analysis Kiyaga, James African geography primary care systems panel data analysis econometric methods health service evaluation outcome assessment spatial epidemiology <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> |
| title | Methodological Evaluation of Urban Primary Care Networks in Uganda: Estimating Clinical Outcomes Using Panel Data Analysis |
| topic | African geography primary care systems panel data analysis econometric methods health service evaluation outcome assessment spatial epidemiology |
| url | https://doi.org/10.5281/zenodo.18944270 |