Socioeconomic inequalities in utilizing maternal health care in five South Asian countries: A decomposition analysis.

BACKGROUND: High maternal mortality rates still today remain a significant public health concern in South Asian countries. The majority of maternal deaths occur during pregnancy, and these deaths may typically be avoided by ensuring that women have access to reliable maternity care such as antenatal care (ANC) and facility delivery. The objectives of this research were to assess socioeconomic disparities in the utilization of health care services by mothers and to determine the factors influencing this utilization among women aged 15 to 49 in five South Asian countries. METHODS: For this study, nationally representative data from the Demographic and Health Survey (DHS) were analyzed. This research included a total of 262,531 women between the ages of 15 and 49. To determine the likely causes of maternal health care utilization, simple bivariate statistics and binary logistic regression were applied, and decomposition analysis and the concentration curve were used to quantify disparity (Lorenz curve). RESULTS: ANC and institutional delivery were both prevalent in 59.27% and 86.52% of cases, respectively. Among the five nations, Maldives has the greatest ANC (96.83%) and institutional delivery (99.39%), while Bangladesh has the lowest ANC (47.01%) and institutional delivery (49.81%). Women's and husbands' education, household wealth status, BMI, and urban residents are the most important factors influencing maternal health service utilization, whereas higher education level, affluent wealth quintiles, and place of residence are the major contributors to socioeconomic inequalities in access to maternal health care that favor the wealthy. CONCLUSION: Maternal health care services must be utilized properly in order to promote optimal health and prevent maternal mortality. Several socioeconomic and sociodemographic variables of the individual population, as well as policy issues, all have an impact on maternal mortality. This research recommends for concerted action to enhance how successfully women use maternity care services.

Socio-economic inequalities in and factors associated with minimum dietary diversity among children aged 6-23 months in South Asia: a decomposition analysis.

OBJECTIVE: This study aimed to determine the factors associated with minimum dietary diversity (MDD) and estimate the socioeconomic inequalities in MDD among children from five South Asian countries. DESIGN: Cross-sectional. SETTING: The study used the most recent round of secondary databases of Demographic Health Survey data of Bangladesh (2017-2018), India (2019-2021), Maldives (2016-2017), Nepal (2018) and Pakistan (2017-2018). PARTICIPANTS: This study used information on MDD and other explanatory variables from a total of 136 980 (weighted) children aged 6-23 months. METHODS: Multivariable logistic regression was employed to identify the factors associated with MDD and concentration index (CIX) and Lorenz curve were used to measure the socioeconomic inequalities in MDD. RESULTS: The overall weighted prevalence of MDD in South Asia was 23.37%. The highest prevalence of MDD was found among children from Maldives (70.7%), while the lowest was in Pakistan (14.2%). Living in affluent versus poor households, having a mother who is employed versus a mother who is unemployed, exposure to various forms of media (newspapers and magazines), seeking antenatal care (ANC) more than four times compared with those who sought ANC less than four times and having children older than 4 years old are the most common significant factors associated with MDD deficiency. This study found the value of the CIX for MDD (MDD: CI=0.0352; p<0.001) among children with a higher socioeconomic status, suggesting inequality in MDD in favour of the more among well-off households. CONCLUSION: Inequality in the prevalence of MDD favours the affluent. Health policy and intervention design should prioritise minimising socioeconomic inequalities concerning the MDD. In addition, policy-makers should prioritise the associated factors of MDD such as education, wealth status, employment, media exposure while designing intervention or policies.