Academic literature on the topic 'Observatoire de Niakhar (Niakhar, Senegal)'

IntroductionImplemented in 2013 in Senegal, theProgramme National de Bourses de Sécurité Familiale(PNBSF) is a national cash transfer programme for poor households. Besides reducing household poverty and encouraging children’s school attendance, an objective of the PNBSF is to expand health coverage by guaranteeing free enrolment in community-based health insurance (CBHI) schemes. In this paper, we provide the first assessment of the PNBSF free health insurance programme on health service utilisation and health-related financial protection.MethodsWe collected household-level and individual-level cross-sectional data on health insurance in 2019–2020 within the Niakhar Population Observatory in rural Senegal. We conducted a series of descriptive analyses to fully describe the application of the PNBSF programme in terms of health coverage. We then used multivariate logistic and Poisson regression models within an inverse probability weighting framework to estimate the effect of being registered in a CBHI through the PNBSF—as compared with having no health insurance or having voluntarily enrolled in a CBHI scheme—on a series of outcomes.ResultsWith the exception of health facility deliveries, which were favoured by free health insurance, the PNBSF did not reduce the unmet need for healthcare or the health-related financial risk. It did not increase individuals’ health service utilisation in case of health problems, did not increase the number of antenatal care visits and did not protect households against the risk of forgoing medical care and of catastrophic health expenditure.ConclusionWe found limited effects of the PNBSF free health insurance on health service utilisation and health-related financial protection, although these failures were not necessarily due to the provision of free health insurance per se. Our results point to both implementation failures and limited programme outcomes. Greater commitment from the state is needed, particularly through strategies to reduce barriers to accessing covered healthcare.

Migration of participants in demographic and epidemiological studies results in missing data. One approach to reduce resulting losses in statistical power and potential biases is to follow up migrants at their new residence. We describe the follow-up of migrants who were eligible for participation in a trial of a new questionnaire to measure adult mortality in Niakhar, Senegal. We conducted a short inquiry in the migrant’s last known household to obtain contact information and then attempted to contact and interview 661 migrants who resided in Dakar, Mbour, and rural areas close to Niakhar. About two-thirds of migrants were successfully enrolled in the study. Having a contact phone number and knowing the name of the head of compound at destination increased the likelihood of successful enrollment. Following up migrants in demographic studies is feasible in low- and middle-income countries, including long-term migrants who have not been contacted for extended periods of time.