Alphonse Kpozehouen

Data quality assessment in the routine health information system: an application of the Lot Quality Assurance Sampling in Benin

Health information systems in developing countries are often faulted for the poor quality of the data generated and for the insufficient means implemented to improve system performance. This study examined data quality in the Routine Health Information System in Benin in 2012 and carried out a cross-sectional evaluation of the quality of the data using the Lot Quality Assurance Sampling method. The results confirm the insufficient quality of the data based on three criteria: completeness, reliability and accuracy. However, differences can be seen as the shortcomings are less significant for financial data and for immunization data. The method is simple, fast and can be proposed for current use at operational level as a data quality control tool during the production stage.

Prevalence and risk factors of overweight and obesity: findings from a cross-sectional community-based survey in Benin

Abstract Background: Data on overweight and obesity in general population in Benin is scarce. This study aimed therefore to assess prevalence and risk factors of overweight and obesity in

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.

Perception of Beninese on intimate partner violence: evidence from 2011-2012 Benin demographic health survey

BackgroundViolence against women remains an important issue of inequality in African societies, with several consequences to health, social and economic status. This study aims to identify the factors related to the perception of intimate partner violence in Benin.MethodsData on intimate partner violence was collected by conducting live interviews, and from the Benin Demographic and Health Survey 2012. The dependent variable was acceptance of intimate partner violence. The independent variables were socio-demographic features such as age, level of education, matrimonial status, ethnicity, religion, place of residence and the index of economic well-being. Logistic regressions were performed and odds ratios (OR) with a confidence interval of 95% (CI95%) were estimated.ResultsAmong the 21,574 people who answered the questions relating to violence against women by an intimate partner, the prevalence of acceptance of intimate partner violence was 15.77%. Ethnicity, level of education, administrative department of residence, religion, and socio-economic quintile were factors associated with the respondents’ acceptance of violence against women by an intimate partner.ConclusionAcceptance of intimate partner violence could be a major obstacle to the success of some health programs. There is a need to break the norms that support the vulnerability of women in Beninese society.

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.

Factors associated with post-cesarean stillbirth in 12 hospitals in Benin: a cross-sectional

Introduction In spite of free caesarean section applied in Benin since 2009, high rates of stillborn babies continue to be recorded. This study aimed to determine the factors associated with post-caesarean stillborn in Benin. Methods Cross-sectional study that covered all women who have delivered by caesarean from December 2013 to February 2014 in twelve hospitals chosen by simple random selection in each of the twelve departments of Benin. Data collected by chart review have been analyzed using the statistical software Epi info 3.5.1. Univariate analysis and multivariable logistic regression were used to identify factors associated with post-caesarean stillbirth at the significance threshold of 5%. Results There were 66 stillborn per 1,000 births of which 58% died before admission to hospital. The risk factors identified were the reference (p = 0.0011), general anesthesia (p = 0.0371), the low birth weight (p = 0.0001), the retro-placental hematoma (p = 0.0083), and the umbilical cord prolapse (p = 0.0229). Acute fetal distress (p = 0.0308) and anesthesia administered by an anesthetist nurse or midwife (p = 0.0337) were protective factors. Conclusion The majority of cases, in utero death occurred before admission to hospital. Strengthening antenatal refocused consultation, a better access to quality obstetric care and the grant of all obstetric care could reduce stillbirths from caesarean sections in Benin.