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This evaluation aims to assess the effectiveness of public health surveillance systems in Kenya and their impact on clinical outcomes.

March 8, 2026Open Access

Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Multilevel Regression Analysis to Measure Clinical Outcomes

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This evaluation aims to assess the effectiveness of public health surveillance systems in Kenya and their impact on clinical outcomes.
Used a multilevel regression model to analyze data from Kenyan healthcare facilities.
Accounted for hierarchical structures and potential confounders in the analysis.
Examined clinical outcomes at both district and national levels.
Significant variability in clinical outcomes observed across different districts.
Highlights the necessity for tailored interventions to improve health outcomes.
Emphasizes the importance of enhancing data collection and quality assurance efforts.

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Multilevel regression analysis reveals variability in clinical outcomes in Kenya, suggesting need for tailored interventions.

Koech et al. (2010) studied this question.

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