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Background: In malaria-endemic countries, asymptomatic carriers of plasmodium represent an important reservoir for malaria transmission. Estimating the burden at a fine scale and identifying areas at high risk of asymptomatic carriage are important to guide malaria control strategies. This study aimed to estimate the prevalence of asymptomatic carriage at the communal level in Burkina Faso, the smallest geographical entity from which a local development policy can be driven. Methods: The data used in this study came from several open sources: the 2018 Multiple Indicator Cluster Survey on Malaria and the 2019 general census of the population data and environmental. The analysis involved a total of 5489 children under 5 from the malaria survey and 293,715 children under 5 from the census. The Elbers Langjouw and Langjouw (ELL) approach is used to estimate the prevalence. This approach consists of including data from several sources (mainly census and survey data) in a statistical model to obtain predictive indicators at a sub-geographical level, which are not measured in the population census. The method achieves this by finding correlations between common census variables and survey data. Findings: The findings suggest that the spatial distribution of the prevalence of asymptomatic carriage is very heterogeneous across the communes. It varies from a minimum of 5.1% (95% CI 3.6–6.5) in the commune of Bobo-Dioulasso to a maximum of 41.4% (95% CI 33.5–49.4) in the commune of Djigoué. Of the 341 communes, 208 (61%) had prevalences above the national average of 20.3% (95% CI 18.8–21.2). Contributions: This analysis provided commune-level estimates of the prevalence of asymptomatic carriage of plasmodium in Burkina Faso. The results of this analysis should help to improve planning of malaria control at the communal level in Burkina Faso. [ABSTRACT FROM AUTHOR]

Background: In 2010, the government of Sierra Leone implemented the Free Health Care Initiative (FHCI) in the country with the objective of reducing the high maternal, infant, and child mortality rates and improving general health indicators. The objective of this study was to assess the trends in the prevalence of health care-seeking and to identify the determinants of healthcare service utilization by caregivers of children younger than five years. Methods: The analysis of health-care-seeking behavior was done using data from four population-based surveys in Sierra Leone before (2008) and after (2013, 2016, 2019) the FHCI was implemented. Care-seeking behavior was assessed with regard to caregivers seeking care for children under-five in the two weeks prior to each survey. We compared the percentages of healthcare-seeking behavior change and identify factors associated with healthcare-seeking using a modified Poisson regression model with generalized estimating equations. Results: In 2008, a total of 1208 children with fever were recorded, compared with 2823 children in 2013, 1633 in 2016, and 1464 in 2019. Care-seeking for children with fever was lowest in 2008 (51%; 95% CI (46.4−55.5)) than in 2013 (71.5%; 95% CI (68.4−74.5)), 2016 (70.3%; 95% CI (66.6−73.8)), and 2019 (74.6%; 95% CI (71.6−77.3)) (p < 0.001). Care-seeking in 2013, 2016 and 2019 was at least 1.4 time higher than in 2008 (p < 0.001) after adjusting for mother's age, wealth, religion, education level, household head and the child's age. Care-seeking was lowest for children older than 12 months, mothers older than 35 years, children living in the poorest households, and in the northern region. A trend was observed for the sex of the household head. The level of care-seeking was lowest when the household head was a man. Conclusions: The increase in healthcare-seeking for children under-five with fever followed the introduction of the FHCI in Sierra Leone. Care-seeking for fever varied by the child's age, caregiver's age, household wealth, the sex of the household head and region. Maintaining the FHCI with adequate strategies to address other barriers beyond financial ones is essential to reduce disparities between age groups, regions and, households. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular disease (CVD) risk assessment is a critical step in the current approach to the primary prevention of CVD, particularly in low-income countries such as Burkina Faso. In this study, we aimed to assess the geographic and sociodemographic disparities of the ten-year cardiovascular risk in Burkina Faso. Methods: We conducted a secondary analysis of the data from the first nationwide survey using the World Health Organization (WHO) STEPwise approach. Ten-year cardiovascular risk was determined using the WHO 2019 updated risk chart (WHO risk) as main outcome, and the Framingham risk score (FRS) and the Globorisk chart for secondary outcomes. We performed a modified Poisson regression model using a generalized estimating equation to examine the association between CVD risk and sociodemographic characteristics. Results: A total of 3081 participants aged 30 to 64 years were included in this analysis. The overall age and sex-standardized mean of absolute ten-year cardiovascular risk assessed using the WHO risk chart was 2.5% (95% CI: 2.4– 2.6), ranging from 2.3% (95% CI: 2.2– 2.4) in Centre Est to 3.0% (95% CI: 2.8– 3.2) in the Centre region. It was 4.6% (95% CI: 4.4– 4.8) for FRS and 4.0% (95% CI: 3.8– 4.1) for Globorisk. Regarding categorized CVD risk (absolute risk ≥ 10%), we found out that the age and sex-standardized prevalence of elevated risk was 1.7% (95% CI: 1.3– 2.1) for WHO risk, 10.4% (95% CI: 9.6– 11.2) for FRS, and 5.9% (95% CI: 5.1– 6.6) for Globorisk. For all of the three risk scores, elevated CVD risk was associated with increasing age, men, higher education, urban residence, and health region (Centre). Conclusion: We found sociodemographic and geographic inequalities in the ten-year CVD risk in Burkina Faso regardless of risk score used. Therefore, population-wide interventions are needed to improve detection and management of adult in the higher CVD risk groups in Burkina Faso. [ABSTRACT FROM AUTHOR]

Background: Socioeconomic inequalities between and within countries lead to disparities in the use of health services. These disparities could lead to child mortality in children under 5 years by depriving them of healthcare. Therefore, initiatives to remove healthcare fees such as the Free Healthcare Initiative (FHCI) adopted in Sierra Leone can contribute to reducing these inequities in healthcare-seeking for children. This study aimed to assess the socioeconomic inequalities in healthcare-seeking for children under 5 years of age before and after the implementation of the FHCI. Methods: Data were included on 1207, 2815, 1633, and 1476 children under 5 years of age with fever from the 2008, 2013, 2016, and 2019 nationwide surveys, respectively. Concentration curves were drawn for the period before (2008) and after (2013–2019) the implementation of the FHCI to assess socioeconomic inequalities in healthcare-seeking. Finally, Erreyger's corrected concentration indices were calculated to understand the magnitude of these inequalities. Results: Before the implementation of the FHCI, there were inequalities in healthcare-seeking for children under five (Erreyger's corrected concentration index (CI) = 0.168, standard error (SE) = 0.049; p < 0.001) in favor of the wealthy households. These inequalities decreased after the implementation of the FHCI (CI = 0.061, SE = 0.033; p = 0.06 in 2013, CI = 0.039, SE = 0.04; p = 0.32 in 2016, and CI = − 0.0005, SE = 0.362; p = 0.98 in 2019). Furthermore, before the implementation of the FHCI, a significant pro-rich inequality in the districts of Kenema (CI = 0.117, SE = 0.168, p = 0.021), Kono (CI = 0.175, SE = 0.078, p = 0.028) and Western Area Urban (CI = 0.070, SE = 0.032, p = 0.031) has been observed. After the implementation of the FHCI in 2019, these disparities were reduced, 11 of the 14 districts had a CI around the value of equality, and only in 2 districts the pro-rich inequality were significant (Western Area Urban (CI = 0.035, SE = 0.016, p = 0.039) and Western Area Rural (CI = 0.066, SE = 0.030, p = 0.027)). Conclusion: The results of this study demonstrated that socio-economic inequalities in healthcare-seeking for children have been considerably reduced after the FHCI in Sierra Leone. To further reduce these inequalities, policy actions can focus on the increase of availability of health services in the districts where the healthcare-seeking remained pro-rich. [ABSTRACT FROM AUTHOR]

Background: In 2016, a free healthcare policy (FHP) was implemented in Burkina Faso for children under the age of five. In our study, we aimed to determine the prevalence of care-seeking for a fever in children under the age of five before and after the implementation of the FHP and to analyze the determinants of not seeking care under the FHP. Methods: The data of three nationally representative surveys were used to evaluate the trends of the prevalence of care-seeking. We performed a modified Poisson regression using a generalized estimating equation to determine the factors associated with not seeking care. Results: The prevalence for care seeking increased from 57.5% (95% CI, 54.2– 60.8) in 2014 to 72.3% (95% CI, 68.1– 76.2) in 2017. Children from the poor quintile were less likely to seek care when compared to children from the poorest quintile (prevalence ratio (PR) = 0.7 (95% CI, 0.5– 0.9)). Caregivers who did not have messages regarding malaria in the past six months were more likely not to seek care (PR = 0.8 (95% CI, 0.7– 0.9)). Caregivers of children aged 36– 59 months were more likely not to seek care compared to those aged < 12 months (PR = 1.6 (95% CI, 1.2– 2.1)). Children from the Boucle du Mouhoun region (PR = 1.9 (95% CI, 1.2– 3.2)) and the Centre-Est region (PR = 1.9 (95% CI, 1.2– 3.0)) were more likely not to seek care compared to children from the Sud Ouest region. Conclusion: Our study showed an increase in the prevalence of care-seeking after the implementation of the FHP. Even if this is encouraging, these findings highlight the critical importance of non-financial barriers to care-seeking. Maintaining FHP and tackling the barriers should be considered by policy makers to increase care-seeking. [ABSTRACT FROM AUTHOR]