Multilevel Modelling of the Individual and Regional Level Variability in Predictors of Incomplete Antenatal Care Visit among Women of Reproductive Age in Ethiopia: Classical and Bayesian Approaches

Urban-rural differences in the incompleteness of antenatal care coverage in Indonesia: A cross-sectional study

Introduction

The estimated maternal mortality ratio in Indonesia from 2016 to 2020 was 249 maternal deaths per 100,000 live births. Currently, this ratio remains relatively high. One effort to reduce maternal mortality is to provide regular antenatal care during pregnancy. This study aimed to analyse the urban-rural differences in the incompleteness of antenatal care coverage in Indonesia.

Methods

This cross-sectional study used data from Indonesian Basic Health Research 2018. A total of 64,399 women aged 15-49 years, including 26,792 and 37,607 women from urban and rural areas, respectively, were included. Univariate (percentage), bivariate (chi-square statistics) and multivariate (logistic regression statistics) analyses were conducted.

Results

Approximately 18.2% and 26.4% of the urban and rural participants received incomplete antenatal care, respectively. Secondary and primary education, lack of health insurance, home-based antenatal care, parity greater than 2, travel time to health facilities exceeding 15 min, absence of abortion history, undesired pregnancy and absence of pregnancy complications were associated with incomplete antenatal care in rural areas. Secondary and primary education, home-based antenatal care, travel time to health facilities exceeding 15 min, parity greater than 2 and undesired pregnancy were associated with incomplete antenatal care in urban areas.

Conclusion

Incomplete antenatal care coverage is more prevalent in rural areas than in urban areas, influenced by distinct socio-demographic and healthcare access factors. Strengthening health insurance programmes, improving healthcare facility access and promoting antenatal care education are critical to reducing disparities and ensuring better maternal health outcomes in both urban and rural areas.

Bivariate multilevel modeling of antenatal care contacts and place of delivery among reproductive-aged women in Ethiopia

BACKGROUND

Antenatal care (ANC) contacts, along with enhanced health facilities for delivery, are essential components of maternal and child healthcare, as these significantly contribute to both mothers and their newborn child's health. Antennal care contacts primarily help women maintain normal pregnancies by detecting pre-existing conditions and preventing complications that may arise during childbirth. This study intended to determine possible factors that affect both ANC contact and place of delivery among women in Ethiopia.

METHODS

The 2019 Ethiopian Mini Demographic and Health Survey data were used for this study. A total weighted sample of 3,926 women nested within 68 zones was used. The bivariate multilevel logistic regression model was utilized to assess the association between antenatal care contact and place of delivery and determinant factors among reproductive-aged women in Ethiopia.

RESULTS

In this study, 57% and 47.5% of women had no ANC contacts and home delivery respectively. Similarly, about 36.73% of women delivered at home and didn't utilize the recommended ANC contacts. Only 32.99% of women have both health facility delivery and at least four ANC contacts during their pregnancy. Women who reside in rural areas were 0.612 and 0.352 times less likely to have ANC and health facility delivery compared to women who reside in urban areas. Whereas, the estimated odds of women with higher education levels were 3.803 and 8.406 times the estimated odds of women with no education.

CONCLUSION

A high proportion of women are still delivering their new child at home and still don't have at least four ANC contacts during their pregnancy. Women's age, women education level, marital status, wealth status, sex of household head, place of residence, and region were significant predictors of antenatal care visits and place of delivery simultaneously in Ethiopia. Although the country tried to maximize these services, it still requires expansion of health facilities media campaigns, and women's literacy to reduce maternal and newborn child mortality in Ethiopia.

Rural-urban disparity in uptaking skilled antenatal care visits by pregnant women in Bangladesh: Zero and One Inflated Poisson regression model

BACKGROUND

Utilization of maternal health care services, specifically, antenatal care services from skilled health providers have been given utmost priority in low- and middle-income countries over years with a view of mitigating complications during pregnancy as well as safeguarding the health and survival of both mother and newborn. However, there is a general tendency of pregnant mothers in Bangladesh of receiving skilled antenatal care (SANC) service once, or even never which refrains us to ensure World Health Organization (WHO) recommended eight plus SANC visits, additionally, to meet Sustainable Development Goal (SDG) number three.

OBJECTIVES

The study aims at assessing how the average number of SANC visits taken by the reproductive women in Bangladesh changes over the time in rural and urban areas together with finding out the potential demographic and socio-economic factors associated with SANC visits by addressing possible accumulation of zero and one counts in SANC visits.

METHODS

In this study, data have been retrieved from last four waves of Bangladesh Demographic and Health Surveys ranging from 2011 to 2022 and later combined together to form a pooled dataset. Non-parametric Kruskal-Wallis test has been performed for exploring unadjusted association of covariates with the response and Mann-Whitney U test has been conducted for multiple comparison in case of significant association for a covariate having more than two categories. For checking the existence of concurrent inflation at zero and one in the pooled dataset, partial score test has been performed. Based on the results of score test, Zero and One Inflated Poisson regression model has been fitted to the pooled dataset, where an interaction term between area of residence and survey year has been considered for trend analysis.

RESULTS

The study highlights that the rate of mean SANC visits is rapidly rising with time among pregnant women not only from the urban areas but also from the rural areas of Bangladesh. However, the rate of change in uptaking the SANC visits is higher in rural area compared to urban area. It was observed that for a given survey year, the rate of mean SANC visits was higher among women from urban areas compared to that among women from rural areas of Bangladesh. This study provides the evidence of 17.2% extra zero counts and 1.1% extra one counts in the pooled dataset.

CONCLUSION

The study results depict that inequity in SANC services based on area of residence prevails in Bangladesh. However, the gap in the rate of mean SANC visits in rural areas compared to urban areas has gradually reduced over time. Based on the results, the study comes up with some recommendations to facilitate the policy makers in improvising strategies and ensuring sustainable rise in SANC counts as well as WHO recommended positive pregnancy experience in the country to meet SDGs.

Antenatal Care Dropout and Associated Factors in Ethiopia: A Systematic Review and Meta-Analysis

Background

The prevalence and determinants of antenatal care (ANC) dropout in Ethiopia were studied. However, the results were inconsistent and showed considerable variation. Hence, this meta-analysis aimed at estimating the overall prevalence of ANC dropout and its predictors in Ethiopia.

Methods

A comprehensive search of published studies was done using different international databases such as such as PubMed, DOJA, Embase, Cochrane Library, Google Scholar, and the institutional repository of Ethiopian universities were used to search for relevant studies. Data were extracted using Microsoft Excel spreadsheet, and exported to STATA v17 for analysis. A random effect model was used to estimate the overall national prevalence of ANC dropout. Fixed effects model were used to compute the pooled adjusted odd ratios (AOR) with the corresponding 95% confidence intervals (CIs). I2 test was used to assess heterogeneity of the included studies. Egger's tests was used to check for the presence of publication bias.

Results

A total of 7 studies were included in this systematic review and meta-analysis with 11,839 study participants. The overall pooled prevalence of ANC in Ethiopia was found to be 41.37% (95% CI =35.04, 47.70). Distance from the health care facility (AOR = 2.93, 95% CI = 2.75, 3.11), pregnancy complication signs (AOR = 2.97, 95% CI = 2.77, 3.16), place of residence (AOR =  1.79, 95% CI = 1.31, 2.26), educational level (AOR = 1.79, 95%CI = 1.37, 2.21), and age group (30-49) (AOR = 0.61, 95% CI = 0.45, 0.78) were significantly associated with ANC dropout.

Conclusion

Based on this review and meta-analysis, 41% of Ethiopian women dropped out of ANC visits before the minimum recommended visit (4 times). Hence, to reduce the number of ANC dropouts, it is important to counsel and educate women during their first prenatal care. Issues of urban–rural disparities and noted hotspot areas for ANC dropout should be given further attention.