Prevalence and factors associated with pre-exposure prophylaxis awareness among cisgender women of reproductive age in Burkina Faso.

BACKGROUND: HIV remains a global public health concern, and women continue to be disproportionately affected. Understanding the factors associated with pre-exposure prophylaxis awareness among women is crucial as an effective HIV prevention strategy. OBJECTIVES: We investigated the prevalence and associated factors of pre-exposure prophylaxis awareness among women in Burkina Faso. DESIGN: This was a cross-section study that used population-based data. METHODS: A total of 17,659 women of reproductive age (15-49 years) from the 2021 Burkina Faso Demographic and Health Survey were analyzed. Percentage and multivariable logistic regression model were used to examine the prevalence and factors associated with pre-exposure prophylaxis awareness. RESULTS: The prevalence of pre-exposure prophylaxis awareness was 8.2% (95% confidence interval = 7.8%-8.6%). Women's age was positively associated pre-exposure prophylaxis awareness. Women with primary and secondary education had 39% and 48% higher odds of pre-exposure prophylaxis awareness, when compared with women with no formal education. The odds of pre-exposure prophylaxis awareness were 1.40 (95% confidence interval = 1.19-1.66) times higher among Christians when compared with the Muslims. Women who were exposed to mass media including newspaper or magazine, radio, TV, and Internet had higher odds of pre-exposure prophylaxis awareness, when compared with those without exposure to mass media channels. Women who have previously tested for HIV had 37% higher odds of pre-exposure prophylaxis awareness, when compared with those who have not been tested (adjusted odds ratio = 1.37; 95% confidence interval = 1.09-1.72). CONCLUSION: This study found women's age, geographical region, education, religion, exposure to mass media channels, employment, and HIV testing to be associated with pre-exposure prophylaxis awareness. These findings can inform the development of targeted interventions and public health campaigns to increase awareness and practice to pre-exposure prophylaxis, particularly among key population.

Perennial malaria chemoprevention with and without malaria vaccination to reduce malaria burden in young children: a modelling analysis.

BACKGROUND: A recent WHO recommendation for perennial malaria chemoprevention (PMC) encourages countries to adapt dose timing and number to local conditions. However, knowledge gaps on the epidemiological impact of PMC and possible combination with the malaria vaccine RTS,S hinder informed policy decisions in countries where malaria burden in young children remains high. METHODS: The EMOD malaria model was used to predict the impact of PMC with and without RTS,S on clinical and severe malaria cases in children under the age of two years (U2). PMC and RTS,S effect sizes were fit to trial data. PMC was simulated with three to seven doses (PMC-3-7) before the age of eighteen months and RTS,S with three doses, shown to be effective at nine months. Simulations were run for transmission intensities of one to 128 infectious bites per person per year, corresponding to incidences of < 1 to 5500 cases per 1000 population U2. Intervention coverage was either set to 80% or based on 2018 household survey data for Southern Nigeria as a sample use case. The protective efficacy (PE) for clinical and severe cases in children U2 was calculated in comparison to no PMC and no RTS,S. RESULTS: The projected impact of PMC or RTS,S was greater at moderate to high transmission than at low or very high transmission. Across the simulated transmission levels, PE estimates of PMC-3 at 80% coverage ranged from 5.7 to 8.8% for clinical, and from 6.1 to 13.6% for severe malaria (PE of RTS,S 10-32% and 24.6-27.5% for clinical and severe malaria, respectively. In children U2, PMC with seven doses nearly averted as many cases as RTS,S, while the combination of both was more impactful than either intervention alone. When operational coverage, as seen in Southern Nigeria, increased to a hypothetical target of 80%, cases were reduced beyond the relative increase in coverage. CONCLUSIONS: PMC can substantially reduce clinical and severe cases in the first two years of life in areas with high malaria burden and perennial transmission. A better understanding of the malaria risk profile by age in early childhood and on feasible coverage by age, is needed for selecting an appropriate PMC schedule in a given setting.

Determinants of health facility delivery among young mothers aged 15 - 24 years in Nigeria: a multilevel analysis of the 2018 Nigeria demographic and health survey.

BACKGROUND: Young mothers aged 15 to 24 years are particularly at higher risk of adverse health outcomes during childbirth. Delivery in health facilities by skilled birth attendants can help reduce this risk and lower maternal and perinatal morbidity and mortality. This study assessed the determinants of health facility delivery among young Nigerian women. METHODS: A nationally representative population data extracted from the 2018 Nigeria Demographic and Health Survey of 5,399 young women aged 15-24 years who had had their last birth in the five years before the survey was analysed. Data was described using frequencies and proportions. Bivariate and multivariate analyses were carried out using Chi-Square test and multilevel mixed effect binary logistic regression. All the analysis were carried out using STATA software, version 16.0 SE (Stata Corporation, TX, USA).. RESULTS: Of the total sampled women in the 2018 NDHS, 5,399 (12.91%) formed our study population of young women 15 -24 years who had their last birth in the preceding five years of the survey. Only 33.72% of the young mothers utilized health facility for delivery. Women educated beyond the secondary school level had 4.4 times higher odds of delivering at a health facility compared with women with no education (AOR 4.42 95%, CI 1.83 - 10.68). Having fewer children and attending more antenatal visits increased the odds of health facility delivery. With increasing household wealth index, women were more likely to deliver in a health facility. The odds of health facility delivery were higher among women whose partners had higher than secondary level of education. Women who lived in communities with higher levels of female education, skilled prenatal support, and higher levels of transportation support were more likely to deliver their babies in a health facility. CONCLUSION: Strategies to promote institutional delivery among young mothers should include promoting girl child education, reducing financial barriers in access to healthcare, promoting antenatal care, and improving skilled birth attendants and transportation support in disadvantaged communities.

Prevalence and determinants of unmet need for contraception among women in low and high-priority segments for family planning demand generation in Nigeria.

BACKGROUND: Studies have identified various determinants of unmet need for contraception. These determinants cut across individual, household, community, and health facility levels. Despite this evidence, there remains a lack of information regarding differentials in the prevalence and determinants of unmet need for contraception among women in the low-priority segments (such as women of advanced reproductive age and women living with disabilities) and high-priority segments (such as adolescents, young adults, and unmarried women) for family planning demand generation, hence this study. METHODS: The study design is cross-sectional. The study analyzed merged data from the individual, and persons recode of the 2018 Nigeria Demographic and Health Survey (NDHS). The samples analyzed are 5,147 women in the high-priority segment and 7,536 women in the low-priority segment. The outcome variable in the study was unmet need for contraception. The explanatory variables were selected at the individual, household, community, and facility levels. Statistical analyzes were performed using Stata 14. Three multilevel mixed-effects regression models were fitted. Model 1 was the empty model, while Model 2 included the sets of individual, household, and community variables. Model 3 controlled for the facility-level variables. RESULTS: Findings show a higher prevalence of unmet need for contraception among women in the family planning low-priority segment compared to women in the family planning high-priority segment. Religion and desired family size were the two individual characteristics that significantly predicted the unmet need for contraception among women in the two segments. Sexual autonomy was the only household characteristic that predicted unmet need for contraception in both segments. There were differences in the community characteristics that predicted unmet need for contraception among women in the two segments. CONCLUSION: The prevalence of unmet need for contraception is not the same among women in low and high family planning priority segments. The determinants also differ among women in the two segments. Though, women in different family planning segments have the same contraceptive needs of avoiding pregnancy when not needed, however, getting the needs satisfied requires that existing programs be further examined to develop initiatives that will resonate with each segment of reproductive-age women.

Existing studies have identified diverse predictors of unmet need for contraception. These predictors cut across individual, household, community, and health facility levels. Despite this evidence, there remains a lack of information regarding differentials in the prevalence and predictors of unmet need for contraception among women in the low-priority segments (such as women of advanced reproductive age and women living with disabilities) and high-priority segment (such as adolescents, young adults, and unmarried women) for family planning demand generation, hence this study. Based on a cross-sectional design, merged data from the individual, and persons recode of the 2018 Nigeria Demographic and Health Survey (NDHS) were analyzed. The outcome variable was unmet need for contraception. The explanatory variables were selected at the individual, household, community, and facility levels. Statistical analyzes were performed using Stata version 14. Three multilevel mixed-effects regression models were estimated. Findings show a higher prevalence of unmet need for contraception among women in the family planning low-priority segment compared to women in the family planning high-priority segment. Religion and desired family size were the two individual characteristics that significantly predicted the unmet need for contraception among women in the two segments. Sexual autonomy was the only household characteristic that predicted the unmet need for contraception in both segments. There were differences in the community characteristics that predicted the unmet need for contraception among women in the two segments. The prevalence of unmet need for contraception is not the same among women in low and high family planning priority segments. The predictors also differ among women in the two segments. Though, women in different family planning segments have the same contraceptive needs of avoiding pregnancy when not needed, however, getting the needs satisfied requires that existing programs be further examined to develop initiatives that will resonate with each segment of reproductive-age women.

Do the prevalence and correlates of adverse reproductive health outcomes differ by marriage cohorts? Evidence from a study of two marriage cohorts in Nigeria.

The researchers examined the prevalence and correlates of adverse reproductive health outcomes among two cohorts of married women in Nigeria based on the 2018 Nigeria Demographic and Health Survey. A weighted sample size of 8,704 and 6,076 women were analyzed respectively for the child and delayed marriage cohorts. Our results showed differences in adverse reproductive health outcomes by marriage cohorts with higher prevalence in the child marriage cohort and also differences in the correlates of adverse reproductive health outcomes. Strategies to promote the uptake of reproductive health services, gender equity and women's empowerment across the different marriage cohorts are required.

To what extent do community characteristics drive health facility delivery? Findings among Women who had recent live births in Nigeria.

Existing studies have established several individual drivers of health facility delivery in many developing countries. However, the community characteristics that drive health facility delivery have been less studied across developing countries. This study thus examines the extent to which community characteristics drives health facility delivery among women who had recent live births in Nigeria based on data from the 2018 Nigeria Demographic and Health Survey (NDHS). A weighted sample size of 7,342 women was analysed. The outcome variable was health facility delivery. The explanatory variables were selected individual and community characteristics. Results show 39.7% prevalence of health facility delivery among the women. Findings further reveals that the community characteristics have significant effects on the variations in health facility delivery across the communities. Community characteristics significantly drive health facility delivery in Nigeria. More community-based priority actions are required to improve demand for health facility delivery in the country.

Multilevel analysis of factors associated with assistance during delivery in rural Nigeria: implications for reducing rural-urban inequity in skilled care at delivery.

BACKGROUND: Studies have observed rural-urban inequity in the use of skilled delivery in Nigeria. A number of studies have explicitly examined associated factors of assistance during delivery in rural areas. However, the studies so far conducted in rural Nigeria have investigated mainly individual-level characteristics with near exclusion of community-level characteristics. Also, most of the studies that have investigated community-level influence on use of maternal healthcare services in Nigeria did not isolate rural areas for specific research attention. The objective of this study was to investigate the individual-level and community-level characteristics associated with assistance during delivery in rural Nigeria. METHODS: The study analysed women data of 2013 Nigeria Demographic and Health Survey. A weighted sample size of 12,665 rural women was analysed. The outcome variable was assistance during delivery, dichotomised into 'skilled assistance' and 'unskilled assistance'. The explanatory variables are selected individual-level characteristics (maternal education, parity, age at first birth, religion, healthcare decision, employment status, access to mass media, and means of transportation); and selected community-level characteristics (community literacy level, community childcare burden, proportion of women employed outside agriculture, proportion of women who perceived distance to facility as a big problem, community poverty level, and geographical region). The mixed-effects logistic regression was applied. RESULTS: During the most recent deliveries, 23.0% of rural women utilised skilled assistance compared with 77.0% who utilised unskilled assistance. Maternal education, parity, religion, healthcare decision, access to mass media, and means of transportation were the individual-level characteristics that revealed significant effects on the likelihood of utilising skilled assistance during delivery, while community literacy level, community poverty level, community perception of distance to health facility, and geographic region were the community-level characteristics that revealed significant effects on the odds of using skilled assistance during delivery. Results of Intra-Class Correlation (ICC) supported significant community-level effects on the likelihood of using skilled assistance during delivery. CONCLUSIONS: Assistance during delivery is influenced by individual-level and community-level characteristics. Health policies and programmes seeking to reduce rural-urban inequity in skilled delivery should endeavour to identify and address important factors at both the individual and community levels of the social environment.