Prevalence and determinants of antenatal tetanus vaccination in Sudan: a cross-sectional analysis of the Multiple Indicator Cluster Survey

Background Tetanus vaccination is an indispensable component of the antenatal care (ANC) and is considered one of the most effective and protective measures against tetanus deaths. However, data on antenatal tetanus vaccination in Sudan are scarce. We aimed to explore the level of antenatal tetanus vaccination and to identify the influencing factors in a nationally representative population sample. Methods We used the latest available data (2014) of the Sudan Multiple Indicator Cluster Survey (MICS), developed by the United Nations Children’s Fund (UNICEF). We assessed the level of antenatal tetanus vaccination among women of childbearing age who gave at least one birth preceding the survey and defined adequate antenatal tetanus vaccination according to the World Health Organization (WHO) recommendations. Data analysis was performed using descriptive statistics, bivariate analysis, and multivariate logistic regression analysis. Results The total number of women of childbearing age involved in this analysis was 5433. Most of the participants (28.6%) were 25–29 years old, and vast majority of them (73.7%) live in rural areas. The prevalence of mothers who had adequate tetanus vaccination was 60.0%. Antenatal tetanus vaccination was significantly associated with higher level of mothers’ education (AOR = 1.70, 95% CI 1.25–2.32), higher household wealth index (AOR = 1.89, 95% CI 1.41–2.54), having four or more ANC visits (AOR = 1.49, 95% CI 1.30–1.71), and living in areas with low intensity of armed conflicts (AOR = 1.34, 95% CI 1.14–1.57). Conclusions Socioeconomic status had a significant impact on adequate antenatal tetanus vaccination. The results indicate the existence of variable rates and unequal access to tetanus vaccination among women of childbearing age in Sudan.

Predictors of wealth-related inequality in institutional delivery: a decomposition analysis using Nepal multiple Indicator cluster survey (MICS) 2019

Background Inequality in maternal healthcare use is a major concern for low-and middle-income countries (LMICs). Maternal health indicators at the national level have markedly improved in the last couple of decades in Nepal. However, the progress is not uniform across different population sub-groups. This study aims to identify the determinants of institutional delivery, measure wealth-related inequality, and examine the key components that explain the inequality. Methods Most recent nationally representative Multiple Indicator Cluster Survey (MICS) 2019 was used to extract data about married women (15-49 years) with a live birth within two years preceding the survey. Logistic regression models were employed to assess the association of independent variables with the institutional delivery. The concentration curve (CC) and concentration index (CIX) were used to analyze the inequality in institutional delivery. Wealth index scores were used as a socio-economic variable to rank households. Decomposition was performed to identify the determinants that explain socio-economic inequality. Results The socio-economic status of households to which women belong was a significant predictor of institutional delivery, along with age, parity, four or more ANC visits, education status of women, area of residence, sex of household head, religious belief, and province. The concentration curve was below the line of equality and the relative concentration index (CIX) was 0.097 (p < 0.001), meaning the institutional delivery was disproportionately higher among women from wealthy groups. The decomposition analysis showed the following variables as the most significant contributor to the inequality: wealth status of women (53.20%), education of women (17.02%), residence (8.64%) and ANC visit (6.84%). Conclusions To reduce the existing socio-economic inequality in institutional delivery, health policies and strategies should focus more on poorest and poor quintiles of the population. The strategies should also focus on raising the education level of women especially from the rural and relatively backward province (Province 2). Increasing antenatal care (ANC) coverage through outreach campaigns is likely to increase facility-based delivery and decrease inequality. Monitoring of healthcare indicators at different sub-population levels (for example wealth, residence, province) is key to ensure equitable improvement in health status and achieve universal health coverage (UHC).

Risk factors for early childhood disability in Bangladesh: Evidence from Multiple Indicator Cluster Survey 2019

Introduction Early childhood is a vital part of human life because most of the brain developments occur in this particular period. Early childhood disability is a significant global public health burden, which can negatively impact the children’s quality of life and their overall productivity. It is also a major social and economic problem in Bangladesh. Therefore, it is very important to understand the associated factors for early childhood disability, which may help disability prevention, better management and policy formulation. The main objective of this study is to investigate the child, family, and community-level factors associated with early childhood disability in Bangladesh. Methods A cross sectional nationally representative data was derived from Multiple Indicator Cluster Survey (MICS), 2019. A total of 14,072 Bangladeshi children under five years of age were selected for this study. Various types of statistical analysis (simple, bivariate, multivariable) were performed. To assess the bivariate relationship between chosen categorical variables (independent) and early childhood disability (dependent), a chi-square test was used. The multivariable ordinal logistic regression was used to find out the association of disability with child, family, and community-level factors. Results The results show that 2.0% of the children have at least one disability and 0.8% have more disabilities. Several factors namely not attending in early childhood education [Odds Ratio (OR) = 0.65; 95% confidence interval (CI) = 0.13–1.17 Ρ = 0.01], having mother’s functional difficulty (OR = 1.23; 95% (CI) = 0.58–1.88 Ρ <0.001), unhappy mother’s life (OR = 0.85; 95% CI = 0.30–1.39 Ρ <0.001), parents without internet access (OR = 0.68; 95% CI = 0.06–1.29 Ρ = 0.03) and parents using mobile phone (OR = 0.52; 95% CI = 0.09–0.95 Ρ = 0.02) were found to be important for early childhood disability in Bangladesh. Conclusion Early childhood disability is still neglected in Bangladesh and further epidemiological studies are recommended. The findings of this study may help policy makers and relevant stakeholders to develop interventions for reducing the overall burden of early childhood disability.

Predictors of health insurance enrolment and wealth-related inequality in Nepal: evidence from Multiple Indicator Cluster Survey (MICS) 2019

ObjectivesWe analysed predictors of health insurance enrolment in Nepal, measured wealth-related inequality and decomposed inequality into its contributing factors.DesignCross-sectional study.SettingWe used nationally representative data based on Nepal Multiple Indicator Cluster Survey 2019. Out of 10 958 households included in this study, 6.95% households were enroled in at least one health insurance scheme.Primary outcomemeasures health insurance (of any type) enrolment.ResultsHouseholds were more likely to have health insurance membership when household head have higher secondary education or above compared with households without formal education (adjusted OR 1.87; 95% CI: 1.32 to 2.64)). Households with mass media exposure were nearly three times more likely to get enroled into the schemes compared with their counterparts (adjusted OR 2.96; 95% CI 2.03 to 4.31). Hindus had greater odds of being enroled (adjusted OR 1.82; 95% CI 1.20 to 2.77) compared with non-Hindus. Dalits were less likely to get enroled compared with Brahmin, Chhetri and Madhesi (adjusted OR 0.66; 95% CI 0.47 to 0.94). Households from province 2, Bagmati and Sudurpaschim were less likely to have membership compared with households from province 1. Households from Richer and Richest wealth quintiles were more than two times more likely to have health insurance membership compared with households from the poorest wealth quintile. A positive concentration index 0.25 (95% CI 0.21 to 0.30; p<0.001) indicated disproportionately higher health insurance enrolment among wealthy households.ConclusionsEducation of household head, exposure to mass media, religious and ethnic background, geographical location (province) and wealth status were key predictors of health insurance enrolment in Nepal. There was a significant wealth-related inequality in health insurance affiliation. The study recommends regular monitoring of inequality in health insurance enrolment across demographic and socioeconomic groups to ensure progress towards Universal Health Coverage.

Assessing Vaccine Coverage and Timeliness in Bamako, Mali after the Introduction of Rotavirus Vaccine: A Modified Immunization Cluster Survey

Vaccine coverage and timeliness are critical metrics for evaluating the performance of immunization programs. Following the introduction of rotavirus vaccine in Bamako, Mali, we conducted two cluster surveys spaced approximately 1 year apart to evaluate these metrics among children 9 to 20 months of age. Using the child’s immunization card or the medical record at the center of administration, each selected child’s immunization status was determined at 9 and 12 months of age. Deviations from the WHO-recommended immunization schedule were described by the median delay and fraction of children receiving doses outside of recommended age ranges. Overall, 1,002 children were enrolled in the two surveys combined; 80.1% of children born 7 to 12 months after introduction (survey 1) received three doses of pentavalent rotavirus vaccine (ROTA3) by 9 months of age, which increased to 86.1% among children born 17 to 26 months after introduction (survey 2). Concomitantly, coverage with the third dose of diphtheria-pertussis-tetanus-containing vaccine (DPT3) by age 9 months was 86.5% (survey 1) and 88.9% (survey 2); by age 12 months, 61.3% and 72.4% of children, respectively, had received all scheduled immunizations. The median delay in ROTA3 and DPT3 administration were similar at about 3.4 weeks. Within 3 years of introduction, coverage of rotavirus vaccine among Bamako infants achieved coverage similar to DPT3 and is approaching the Global Vaccine Action Plan goal of 90% coverage by 2020. However, timeliness of coverage remains a concern.

Determinants of Under-five Child Mortality: Evidence from Bangladesh Multiple Indicator Cluster Survey (MICS) 2019

Background: Every year millions of under-five children die due to different causes and some of those death could be prevented by proper awareness or taking steps. Though under-five child mortality rate has reduced by a remarkable rate for last decade in Bangladesh, the rate is still high to reach the expected level of Sustainable Development Goals (SDGs). Methods: The main aim of this study was to find out the socioeconomic and demographic determinants of under-five child mortality in Bangladesh. Nationally representative cross-sectional secondary data from the Multiple Indicator Cluster Survey (MICS) 2019, Bangladesh had been used in this study. Outcome variable was under-five child survival status (alive or dead). Kaplan–Meier log-rank test and Cox Proportional Hazard (PH) model with 95% confidence interval (CI) were fitted to identify associated risk factors for under-five child mortality. This analysis was performed by using STATA version 16.Results: The study showed that among 5112 under-five children, 170 (3.3%) were dead. Cox proportional hazard model revealed that mother’s education [secondary (HR: 0.53, 95%CI: (0.30, 0.94), p=0.03), higher (HR: 0.41, 95% CI: (0.21, 0.81), p=0.01)], higher birth order [HR: 1.43, 95% CI: (1.13, 1.89), p=0.007], size of child at birth [HR: 2.28, 95% CI: (1.22, 4.26), p=0.009], taking antenatal care [HR: 0.77, 95% CI: (0.52, 1.15), p= 0.091] had a significant effect on child mortality. Under-five child mortality rate was varied among division and highest mortality rate was found in Sylhet [HR: 2.13, 95% CI: (0.99, 4.55), p=0.054]. Conclusions: This study identified potential risk factors for under-five child mortality, which would help the policy makers to take proper steps as community-based educational programs for mother’s and public health interventions focused on birth to reduce under-five child mortality rate in Bangladesh.