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Viral Infections and Outbreaks Research / Data Driven Disease Surveillance · Journal article
International Journal of Scientific Research Studies · September 10, 2026
Early or partial results. Treat as a signal, not a conclusion.
This descriptive survey of 103 Health Information Management professionals in Bayelsa State, Nigeria found moderate self-reported operational knowledge and surveillance practice, with identified gaps in timeliness, completeness, and documentation. No statistically significant associations were detected between operational knowledge and practice, or between gender and practice, limiting causal inference and generalizability beyond the study setting.
Descriptive, cross-sectional, quantitative survey. Health Information Management professionals working in public health facilities in Bayelsa State, Nigeria; 115 questionnaires distributed, 103 completed and analyzed.. n = 103. Bayelsa State, Nigeria.
Perceived operational knowledge subscales rated moderate: timeliness (mean 2.47), completeness (2.46), data quality and accuracy (2.49), and surveillance capacity and experience (2.54) Self-reported surveillance practice was moderate: timeliness (2.43), data quality and accuracy (2.42), completeness (2.48) Highest professional/institutional factor score was supervision and feedback (2.62), followed by resources and infrastructure (2.56); self-assessed operational competence lowest (2.33)
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
This survey suggests that surveillance system strengthening in low-resource settings may require attention to supervision, feedback, resources, and reporting infrastructure beyond knowledge transfer alone. The lack of association between knowledge and practice warrants further investigation into barriers to implementation, though single-state results should not be generalized to policy without replication.
Single-centre descriptive cross-sectional survey of self-reported knowledge and practice with moderate response rate, no control group, and no statistically significant associations detected; raises questions about surveillance gaps but lacks analytical power to drive practice change.
As stated by the source record.
Quoted from the source exactly as published.
This survey suggests that surveillance system strengthening in low-resource settings may require attention to supervision, feedback, resources, and reporting infrastructure beyond knowledge transfer alone. The lack of association between knowledge and practice warrants further investigation into barriers to implementation, though single-state results should not be generalized to policy without replication.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Background: Disease surveillance is critical to the timely recognition, notification, and response to priority diseases and public health events. Health Information Management (HIM) staff plays a role in producing, processing and disseminating health data for surveillance activities; however their knowledge and practice of routine surveillance practices has received comparatively little attention. This study identified knowledge and practice gaps of IDSR among HIM professionals working in public health facilities in Bayelsa State, Nigeria. Method: Descriptive, cross-sectional and quantitative. Study population: 115 questionnaires were distributed to the population of HIM practitioners in public health institutions in Bayelsa State, Nigeria, of which 103 completed questionnaires were returned and analyzed (response rate: 89.6%). The tool: A structured, pre-tested questionnaire collecting: socio-demographic data, perceived operator-specific knowledge, self-reported behavior in surveillance practice and professional/institutional variables. The reliability and validity of the tool: The questionnaire tool was validated by 2 experts in epidemiology and health information management and its internal consistency was obtained with a Cronbach‘s a co-efficient of ≥0.70, which was judged to be acceptable. The data analysis: SPSS version 26. Frequencies, percentages and the mean scores were determined and simple linear regression was performed at 0.05 level of significance. Results: subscales of perceived operational knowledge were rated moderate with a mean of 2.47, 2.46, 2.49 and 2.54 for timeliness, completeness, data quality and accuracy and surveillance capacity and experience, respectively. Similarly, self-reported surveillance practice was moderate for timeliness, 2.43, data quality and accuracy, 2.42 and completeness, 2.48. The highest professional/institutional factor score was supervision and feedback, 2.62, followed by resources and infrastructure (2.56), with self-assessed operational competence being lowest (2.33). There was no statistically significant association between operational knowledge and surveillance practice (β = 0.072, R 2 = 0.005 and p = 0.468) or gender and surveillance practice (β= 0.036, R 2 =0.001 and p= 0.716) (data not shown). The two selected-factor models were also not statistically significant for operational knowledge (R = 0.045, R 2 =0.002, F =0.201 and p= 0.655) or for surveillance practice (R = 0.009, R 2 =0.000 and F =0.008 and p= 0.929). Conclusion: HIM professionals showed basic awareness, moderate perceived operational knowledge and self-reported surveillance practice, and reached uniformity expected in the experiential learning; but with gaps in reporting timeliness, data completeness, verification and documentation. The results imply that surveillance enhancement efforts should not be simply based on knowledge transfer; but also on enhancement of supportive supervision, feedback, reporting tools/resources, information channels, reporting burden and lifespan learning of the workforce.
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