What does this research mean for the field?

Facility-level infrastructure significantly influences clinical outcomes in public health surveillance systems in Kenya. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The study aims to evaluate the effectiveness of public health surveillance systems in Kenya for infectious diseases.

March 12, 2026Open Access

Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Multilevel Regression Analysisfor Clinical Outcomes Assessment

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Authors

MKMwihaki KinyuaKenya Medical Research Institute KGKiplagat GitongaAfrican Population and Health Research Center NONgugi OtienoMaseno University

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Implication

Multilevel regression analysis assesses clinical outcomes in Kenya's public health systems, suggesting improved evaluations.

Key Points

The study aims to evaluate the effectiveness of public health surveillance systems in Kenya for infectious diseases.
Utilized multilevel regression analysis to examine data from healthcare facilities.
Accounted for fixed effects like facility-level characteristics and random effects such as regional variations.
Analyzed the influence of healthcare infrastructure on clinical outcomes.
Facility-level infrastructure significantly influenced clinical outcomes with moderate effect size.
Findings provide valuable insights into the performance of publicly funded health systems in Kenya.

Cite This Study

Kinyua et al. (2011) studied this question.

synapsesocial.com/papers/69b2581996eeacc4fcec76cd https://doi.org/10.5281/zenodo.18920284

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Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Multilevel Regression Analysisfor Clinical Outcomes Assessment

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Implication

Key Points

Cite This Study

Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Multilevel Regression Analysisfor Clinical Outcomes Assessment

Discussion

Member takes

Implication

Key Points

Cite This Study

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