title: Factors associated with data quality in the routine health information system of Benin.
abstract: 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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Epidemiology and Biostatistics Department, Public Health Regional Institute, University of Abomey-Calavi, Abomey-Calavi, Benin ; Center of research in Epidemiology, Biostatistics and Clinical Research, School of Public Health, Université Libre de Bruxelles, Bruxelles, Belgium.
authors.forename: Yolaine
authors.initials: Y
authors.lastname: Glèlè Ahanhanzo
authors.affiliation: Epidemiology and Biostatistics Department, Public Health Regional Institute, University of Abomey-Calavi, Abomey-Calavi, Benin.
authors.forename: Laurent T
authors.initials: LT
authors.lastname: Ouedraogo
authors.affiliation: Epidemiology and Biostatistics Department, Public Health Regional Institute, University of Abomey-Calavi, Abomey-Calavi, Benin.
authors.forename: Alphonse
authors.initials: A
authors.lastname: Kpozèhouen
authors.affiliation: Center of research in Epidemiology, Biostatistics and Clinical Research, School of Public Health, Université Libre de Bruxelles, Bruxelles, Belgium.
authors.forename: Yves
authors.initials: Y
authors.lastname: Coppieters
authors.affiliation: Environment and Health Department, Public Health Regional Institute, University of Abomey-Calavi, Abomey-Calavi, Benin.
authors.forename: Michel
authors.initials: M
authors.lastname: Makoutodé
authors.affiliation: Center of research in Epidemiology, Biostatistics and Clinical Research, School of Public Health, Université Libre de Bruxelles, Bruxelles, Belgium.
authors.forename: Michèle
authors.initials: M
authors.lastname: Wilmet-Dramaix
keywords: Data quality; Health information systems; Related factors
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