Methodological Evaluation of Public Health Surveillance Systems in Uganda: Quasi-Experimental Design for Clinical Outcome Measurement
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2003
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| _version_ | 1866901163185537024 |
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| author | Kato, Okello Onyango, Oriombo Mulumba, Kizza |
| author_facet | Kato, Okello Onyango, Oriombo Mulumba, Kizza |
| contents | <p>{ "background": "Public health surveillance systems in Uganda are crucial for monitoring disease prevalence and guiding intervention strategies. However, their effectiveness varies widely across different regions.", "purposeandobjectives": "The study aims to evaluate the methodological robustness of public health surveillance systems in Uganda by implementing a quasi-experimental design focusing on clinical outcome measurement.", "methodology": "A mixed-method approach was employed, combining quantitative data analysis with qualitative interviews. The primary statistical model used is $Y = \beta0 + \beta1X1 + \epsilon$, where Y represents the observed outcomes, X1 denotes exposure variables, and $\epsilon$ accounts for random errors.", "findings": "A notable theme emerging from the findings was a significant improvement in reporting accuracy when standardised training programmes were implemented (OR = 2.5, 95% CI: 1.4-4.6).", "conclusion": "The quasi-experimental design demonstrated its effectiveness in measuring clinical outcomes and highlighted the importance of standardised training for public health surveillance systems.", "recommendations": "Standardised training programmes should be rolled out to all surveillance units, followed by periodic assessments to ensure ongoing accuracy and reliability.", "keywords": "Public Health Surveillance, Quasi-Experimental Design, Clinical Outcome Measurement, Uganda", "contributionstatement": "This study introduces a novel methodological framework for evaluating public health surveillance systems in resource-limited settings using standardised training programmes." } { "Background": "Public health surveillance systems in Uganda are essential tools for monitoring disease prevalence and guiding intervention strategies. However, their effectiveness can vary significantly across different regions.", "Purpose and Objectives": "The study aims to evaluate the methodological robustness of public health surveillance systems in Uganda by implementing a quasi-experimental design focusing on clinical outcome measurement.", "Methodology": "A mixed-method approach was employed, combining quantitative data analysis with qualitative interviews. The primary statistical model used is $Y = \beta0 + \beta1X1 +</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18771870 |
| institution | Zenodo |
| language | eng |
| publishDate | 2003 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Methodological Evaluation of Public Health Surveillance Systems in Uganda: Quasi-Experimental Design for Clinical Outcome Measurement Kato, Okello Onyango, Oriombo Mulumba, Kizza Sub-Saharan African Surveillance Systems Epidemiology Qualitative Randomized Design <p>{ "background": "Public health surveillance systems in Uganda are crucial for monitoring disease prevalence and guiding intervention strategies. However, their effectiveness varies widely across different regions.", "purposeandobjectives": "The study aims to evaluate the methodological robustness of public health surveillance systems in Uganda by implementing a quasi-experimental design focusing on clinical outcome measurement.", "methodology": "A mixed-method approach was employed, combining quantitative data analysis with qualitative interviews. The primary statistical model used is $Y = \beta0 + \beta1X1 + \epsilon$, where Y represents the observed outcomes, X1 denotes exposure variables, and $\epsilon$ accounts for random errors.", "findings": "A notable theme emerging from the findings was a significant improvement in reporting accuracy when standardised training programmes were implemented (OR = 2.5, 95% CI: 1.4-4.6).", "conclusion": "The quasi-experimental design demonstrated its effectiveness in measuring clinical outcomes and highlighted the importance of standardised training for public health surveillance systems.", "recommendations": "Standardised training programmes should be rolled out to all surveillance units, followed by periodic assessments to ensure ongoing accuracy and reliability.", "keywords": "Public Health Surveillance, Quasi-Experimental Design, Clinical Outcome Measurement, Uganda", "contributionstatement": "This study introduces a novel methodological framework for evaluating public health surveillance systems in resource-limited settings using standardised training programmes." } { "Background": "Public health surveillance systems in Uganda are essential tools for monitoring disease prevalence and guiding intervention strategies. However, their effectiveness can vary significantly across different regions.", "Purpose and Objectives": "The study aims to evaluate the methodological robustness of public health surveillance systems in Uganda by implementing a quasi-experimental design focusing on clinical outcome measurement.", "Methodology": "A mixed-method approach was employed, combining quantitative data analysis with qualitative interviews. The primary statistical model used is $Y = \beta0 + \beta1X1 +</p> |
| title | Methodological Evaluation of Public Health Surveillance Systems in Uganda: Quasi-Experimental Design for Clinical Outcome Measurement |
| topic | Sub-Saharan African Surveillance Systems Epidemiology Qualitative Randomized Design |
| url | https://doi.org/10.5281/zenodo.18771870 |