Michèle Wilmet-Dramaix

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

BackgroundRoutine 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.MethodsThis 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.ResultsA 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.ConclusionThis 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.

SET‑bullying: presentation of a collaborative project and discussion of its internal and external validity

BackgroundSince the early 1980s, several school based anti-bullying interventions (SBABI) have been implemented and evaluated in different countries. Some meta-analyses have also drawn conclusions on the effectiveness of SBABIs. However, the relationship between time and effectiveness of SBABIs has not been fully studied. For this aim, a collaborative project, SET-Bullying, is established by researchers from Greece, Belgium, Norway and United Kingdom. Its primary objective is to further understand and statistically model the relationship between the time and the sustainability of the effectiveness of SBABI. The secondary objective of SET-Bullying is to assess the possibility of predicting the medium-term or long-term effectiveness using as key information the prior measurement and the short-term effectiveness of the intervention.ResultsResearchers and owners of potentially eligible databases were asked to participate in this effort. Two studies have contributed data for the purpose of SET-Bullying. This paper summarizes the main characteristics of the participating studies and provides a high level overview of the collaborative project. It also discusses on the extent to which both study and project characteristics may pose threats to the expected internal and external validity of the potential outcomes of the project.DiscussionDespite these threats, this work represents the first effort to understand the impact of time on the observed effectiveness of SBABIs and assess its predictability, which would allow for better planning, implementation and evaluation of SBABIs.

Management of information within emergencies departments in developing countries: analysis at the National Emergency Department in Benin

Introduction The management of health information is a key pillar in both emergencies reception and handling facilities, given the strategic position and the potential of these facilities within hospitals, and in the monitoring of public health and epidemiology. With the technological revolution, computerization made the information systems evolve in emergency departments, especially in developed countries, with improved performance in terms of care quality, productivity and patient satisfaction. This study analyses the situation of Benin in this field, through the case of the Academic Clinic of Emergency Department of the National University Teaching Hospital of Cotonou, the national reference hospital. Methods The study is cross-sectional and evaluative. Collection techniques are literature review and structured interviews. The components rated are resources, indicators, data sources, data management and the use-dissemination of the information through a model adapted from Health Metrics Network framework. We used quantitative and qualitative analysis. Results The absence of a regulatory framework restricts the operation of the system in all components and accounts for the lack and inadequacy of the dedicated resources. Conclusion Dedication of more resources for this system for crucial needs such as computerization requires sensitization and greater awareness of the administrative authorities about the fact that an effective health information management system is of prime importance in this type of facility.