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.

Purpose: Post-traumatic stress disorder (PTSD) is a frequent psychiatric complication in road accident survivors. However, it remains under-explored and is not taken into account in health policies in Benin. The purpose of this study was to determine the prevalence and risk factors of PTSD after a road traffic accident. This will help to improve its diagnosis and management in Benin hospitals. Materials and Methods: An institution-based cross-sectional study was conducted from November 2020 to January 2021. Consenting victims of road traffic accidents from three hospitals across Benin, aged 18 years and above, living in the south of the country, were administered various questionnaires at 12-month follow-up. Data on PTSD were collected using a pre-tested, structured and standardized post-traumatic stress disorder questionnaire, the PTSD Checklist (specific version) (PCL-S). A logistic regression model was fitted to identify factors associated with PTSD. An adjusted odds ratio (AOR) followed by a 95% confidence interval was calculated to determine the level of significance with a p-value less than 0.05. Results: Out of 865 patients in the cohort eligible for the 12-month follow-up, 734 (85%) participated in the study. The prevalence of PTSD was 26.43% (95% CI: 23.36– 29.75). Factors associated with PTSD on multivariate analysis were female gender (adjusted odds ratio (AOR) = 2.14, 95% CI: 1.38– 3.33), hospitalization (AOR = 1.87, 95% CI 1.21– 2.89), negative impact of the accident on income (AOR = 4.22, 95% CI: 2.16– 8.25), and no return to work (AOR = 3.17, 95% CI: 1.99– 5.06). Conclusion: The prevalence of PTSD is high in road accident survivors in Benin. The results of this study highlight the need for early diagnosis and a multidisciplinary approach to the management of PTSD patients in Benin’s hospitals.

Objective The paper aimed to study the association between household access to water, sanitation and hygiene (WASH) services and the occurrence of diarrhoea and acute respiratory infection among children under 5 years in Benin. Design We performed secondary analyses using Benin’s Fifth Demographic and Health Survey datasets. The dependent variables were diarrhoea and acute respiratory infection (yes=1, no=0). Among the independent variables were the household access to individual WASH services, grouped as follows: ‘basic’, ‘limited’, ‘unimproved’ and ‘no service’. Multivariate logistic regression was used to determine the association between household access to WASH services and the occurrence of diarrhoea and acute respiratory infection. Results from the multivariate logistic regression were presented using adjusted Odds Ratios (aORs) with 95% Confidence Intervals (95% CIs). Setting Benin. Participants Children under 5 years successfully surveyed during Benin’s Fifth Demographic and Health Survey. Outcome measures Diarrhoea and acute respiratory infection. Results In the current study, 12 034 children under 5 years met the selection criteria and were included in the analyses. The prevalence of diarrhoea and acute respiratory infection was 10.5% (95% CI=9.8% to 11.3%) and 2.9% (95% CI=2.5% to 3.4%), respectively. Children living in households without sanitation service, that is, practising open defecation (aOR=1.9, 95% CI=1.4 to 2.6), and with unimproved (aOR=1.9, 95% CI=1.3 to 2.7) and limited (aOR=1.5, 95% CI=1.1 to 2.2) services were more likely to have diarrhoea compared with children with basic sanitation services. Household access to WASH services was not associated with acute respiratory infection. Conclusion We suggest reinforcing household access to basic sanitation services to combat diarrhoea in children under 5 years. Further research is needed on the effects of WASH interventions on diarrhoea and acute respiratory infection in children under 5 years.

Violence 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. Data 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. Among 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. Acceptance 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.

One of the priorities of the Immunization Agenda 2030 is to identify “zero-dose” children, and to adapt strategies in order to recover them. The study aimed to estimate the prevalence of “zero-dose” in children aged 12-23 months and determine the associated factors in Togo. This was a cross-sectional study which consisted in carrying out secondary analyzes of the databases of the Multiple Indicator Cluster Survey conducted in Togo in 2017. This study population consisted of children aged 12-23 months that had been successfully investigated during this survey. The dependent variable was the child's vaccination status (0 ="Vaccinated" vs 1 ="Zero-dose"). As for the explanatory variables, they were related to the child, the child’s mother, the household and the environment. Geospatial analyzes of child prevalence at “zero-dose” were performed using Arc GIS 10.5 software. Factors associated with “zero-dose” were identified through multivariate logistic regression. A total of 933 children under five were included in the study. The prevalence of “zero-dose” in children aged 12-23 months was 26.88% (95% CI= 23.50-30.55). We note that the factors associated with "zero-dose" in children aged 12-23 months in Togo were: the birth order of the child, the age, the level of education, the ethnicity, the religion of the head of household and the region of residence. Finally, our results can guide efforts to identify and reach children who have not received any vaccine. “Zero-dose” children can be avoided by joint interventions by the competent authorities at different levels, in particular parents, government authorities and technical and financial partners.