What does this research mean for the field?

Adequate training resources significantly increase the adoption rates of public health surveillance systems in Rwanda's healthcare facilities. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.SUPPORTS_CONSENSUS.

What question did this study set out to answer?

This research aims to evaluate the factors influencing the adoption of public health surveillance systems in Rwanda's healthcare facilities.

March 12, 2026Open Access

Multilevel Regression Analysis to Evaluate Public Health Surveillance System Adoption in Rwanda: A Methodological Assessment

Key Points

This research aims to evaluate the factors influencing the adoption of public health surveillance systems in Rwanda's healthcare facilities.
Analyzed data from a survey of 200 healthcare facilities.
Employed multilevel logistic regression to account for clustering effects within and between facility levels.
Focused on training resources as a key factor influencing adoption rates.
The presence of adequate training resources significantly increased adoption rates (OR = 1.5, CI: [1.3, 1.8]).
Facilities without sufficient training showed lower adoption rates.
Findings suggest targeted training support can enhance adoption of surveillance systems.

Abstract

Public health surveillance systems are crucial for monitoring infectious diseases and ensuring timely intervention. Rwanda's system faces challenges in adoption by healthcare providers. Multilevel logistic regression was employed to analyse data from a survey of 200 healthcare facilities. The model accounts for clustering effects within and between facility levels. The multilevel model revealed that the presence of adequate training resources (OR = 1.5, CI: 1.3, 1.8) significantly increased adoption rates compared to facilities without such resources. This study provides insights into improving public health surveillance system adoption in Rwanda by targeting resource provision and capacity building. Facilities should be prioritised for training support based on the findings of this analysis, with a focus on enhancing infrastructure and personnel skills. Public Health Surveillance, Multilevel Regression Analysis, Healthcare Facilities, Rwanda

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Cite This Study

Nshuti et al. (Fri,) studied this question.

synapsesocial.com/papers/69b2589696eeacc4fcec8501 https://doi.org/https://doi.org/10.5281/zenodo.18927678

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