Factors associated with data quality in the routine health information system of Benin

Archives of Public Health

Yolaine Glèlè Ahanhanzo¹  Laurent T Ouedraogo²  Alphonse Kpozèhouen²  Yves Coppieters¹  Michel Makoutodé³  Michèle Wilmet-Dramaix¹ 

[1] Center of research in Epidemiology, Biostatistics and Clinical Research, School of Public Health, Université Libre de Bruxelles, Bruxelles, Belgium

[2] Epidemiology and Biostatistics Department, Public Health Regional Institute, University of Abomey-Calavi, Abomey-Calavi, Benin

[3] Environment and Health Department, Public Health Regional Institute, University of Abomey-Calavi, Abomey-Calavi, Benin

关键词: Health information systems;    Related factors;    Data quality;   

Others  :  1070612
DOI  :  10.1186/2049-3258-72-25

 received in 2014-01-16, accepted in 2014-05-09,  发布年份 2014

【 摘 要 】

Background

Routine health information systems (RHIS) are crucial to the acquisition of data for health sector planning. In developing countries, the insufficient quality of the data produced by these systems limits their usefulness in regards to decision-making. The aim of this study was to identify the factors associated with poor data quality in the RHIS in Benin.

Methods

This cross-sectional descriptive and analytical study included health workers who were responsible for data collection in public and private health centers. The technique and tools used were an interview with a self-administered questionnaire. The dependent variable was the quality of the data. The independent variables were socio-demographic and work-related characteristics, personal and work-related resources, and the perception of the technical factors. The quality of the data was assessed using the Lot Quality Assurance Sampling method. We used survival analysis with univariate proportional hazards (PH) Cox models to derive hazards ratios (HR) and their 95% confidence intervals (95% CI). Focus group data were evaluated with a content analysis.

Results

A significant link was found between data quality and level of responsibility (p = 0.011), sector of employment (p = 0.007), RHIS training (p = 0.026), level of work engagement (p < 0.001), and the level of perceived self-efficacy (p = 0.03). The focus groups confirmed a positive relationship with organizational factors such as the availability of resources, supervision, and the perceived complexity of the technical factors.

Conclusion

This exploratory study identified several factors associated with the quality of the data in the RHIS in Benin. The results could provide strategic decision support in improving the system’s performance.

【 授权许可】

   
2014 Glèlè Ahanhanzo et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

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