Multilevel negative binomial analysis of factors associated with numbers of antenatal care contacts in low and middle income countries: Findings from 59 nationally representative datasets.

BACKGROUND: Antenatal care (ANC) is one of the recommended interventions to reduce stillbirth, maternal, neonatal, and child mortality through early identification and management of pregnancy complications or pre-existing conditions. Although increasing number of ANC is a key priority of the 2016 WHO recommendations, ANC uptake in Low and Middle Income Countries (LMICs) is insufficient. Therefore, this study aimed to investigate factors associated with the number of ANC contacts in LMICs. METHODS: Data for the study were drawn from 59 recent Demographic and Health Surveys (DHS) conducted in LMICS. We included a total sample of 520,377 mothers who gave birth in the five years preceding the survey. A multilevel negative binomial regression model was applied to identify factors that may affect number of ANC. Adjusted incidence rate ratios (AIRR) with 95% Confidence Interval (CI) were reported to show association. RESULTS: This study found that mothers and their partner with higher educational attainment, mothers aged >35 years, mothers who had decision making autonomy, mothers from female headed household, mothers from richer and richest household, mothers exposed to media, and residing in urban areas had significantly more ANC contacts. However, number of ANC contacts were significantly lower among mothers who initiated ANC after 12 weeks of gestation and perceived healthcare access to be a big problem. CONCLUSION: Our results suggest that individual, household, and community-level factors were associated with number of ANC contacts among pregnant mothers in LMICs. Hence, local and international policymakers, and programmers should focus on improving community awareness about maternal health care services through mass media and outreach programs with especial emphasis on women's and their partners educational attainment, rural mothers, women's empowerment, and household socioeconomic status.

Socioeconomic inequality in timing of ANC visit among pregnant women in Ethiopia, 2019.

Background: Antenatal care (ANC) remains an invaluable approach to preventive care for ensuring maternal and infant health outcomes. Women in sub-Saharan Africa tend to delay their first antenatal care visits. In Ethiopia, only 20% of women received their first antenatal care during the first trimester of pregnancy. Timely and appropriate antenatal care practices can potentially save the lives of both mothers and children. Understanding socioeconomic inequality in the timing of antenatal care visits and its determinants may contribute to tackling disparities and achieving the sustainable development goals for maternal health. Objective: This study aimed to assess the socioeconomic inequality in the timing of antenatal care visit. Method: Secondary data sourced from the Mini Ethiopian Demographic Health Survey 2019 were used for this study. A total of 2,906 pregnant women were included in the study, and concentration curves were used to show inequality among sociodemographic and economic variables. Decomposition analysis was performed to estimate the contribution of each independent variable to the inequality in the timing of antenatal care visits. Result: The estimate of early initiation of antenatal care was 63%. The concentration index was 0.18 (P < 0.001). The inequality in the timing of antenatal care visit was more concentrated among the wealthiest pregnant women with a concentration index value of 0.18 (P < 0.001). Based on decomposition analysis results, the wealth index (81.9%.), education status (22.29%), and region (0.0642%) were identified as contributing factors to the inequality in the timing of antenatal care visits among women. Conclusion: The wealth index, educational status, and region were significant contributors to inequality in the early initiation of antenatal care visit. Improving women's wealth and education and narrowing the inequality gap are crucial for improving the health status of women and their children. We should focus on interventions targeted at early antenatal care visit to address the determinants of socioeconomic inequities.

Trends of socioeconomic and geographic inequalities in severe wasting among under-five children in Ethiopia from 2000 to 2019: using the WHO Health Equity Assessment Toolkit.

Severe wasting is the deadliest form of wasting caused by a lack of nutritious food and repeated attacks of illness. The World Health Assembly has agreed to reduce severe wasting to less than 5% and 3% by the end of 2025 and 2030. Significant disparities were observed worldwide in progress towards the goal. However, limited evidence of disparity in severe wasting was available in Ethiopia. Therefore, this study aimed to assess trends in socioeconomic and geographic inequalities in severe wasting among under-five children in Ethiopia between 2000 and 2019. The trend in socioeconomic and geographic inequality was assessed using the World Health Organization Health Equity Assessment Toolkit, employing both absolute and relative measures of inequality. Difference (D), ratio (R), slope index inequality (SII), relative concentration index (RCI), and population attributable ratio (PAR) were utilized to assess disparity across wealth, education, residence, and subnational regions. The 95% uncertainty interval (UI) was used to declare the significant change in inequality through time. The proportion of severe wasting increased from 3.8% to 4.7% between 2000 to 2005 and dropped to 2.9% in 2011 to remain constant until 2016. However, the proportion of severe wasting significantly declined to 1.1% in 2019. As indicated by RCI, significant fluctuation in wealth-related inequality was observed in all five survey years but a significant change in wealth-related inequality was observed in 2005 and 2019. Whereas the education-related inequality in RCI of severe wasting steadily increased from -8.8% in 2005 to -24.3% in 2019. And the change was significantly widened from 2011 to 2019. On the other hand, residence-related inequality of severe wasting was observed in 2000 in ratio, difference and PAR summary measures but disappeared in 2019. Between 2000 and 2016, regional inequalities in severe wasting fluctuated between 8.7 in 2005 to 5.9 in 2016 taking the difference as a measure of inequality. Overall, Wealth-related inequality has significantly widened over time with under five children from the richest households being less affected by severe wasting. Education-related inequality was not changed with under five children whose mothers had not attended formal education highly affected by severe wasting. Regional disparity in severe wasting is also exhibited in Ethiopia in all-round surveys with children from Addis Ababa being least affected whereas children from Somalia were highly affected by severe wasting. However, no significant disparity in the type of residence in severe wasting was revealed in Ethiopia. Therefore, special attention should be paid to under-five children living in the poorest households, whose mothers did not attend formal education and children living in Somalia region.

Prevalence and predictors of post-abortion modern contraceptive utilization among reproductive age women in Ethiopia.

The development of a post-abortion family plan is an integral part of comprehensive abortion care. In spite of this, it received insufficient attention as a means of breaking the cycle of repeated abortions, unintended pregnancies, and maternal deaths resulting from abortion. Therefore, this study examined post abortion modern contraceptive utilization among Ethiopian women as well as associated factors. The study was based on secondary data analysis of the Ethiopian Demographic and Health Survey 2016 data. A total weighted sample of 1236 reproductive age women was included. A multilevel mixed-effect binary logistic regression model was fitted to identify the significant associated factors of post abortion contraceptive use. Statistical significance was determined using Adjusted Odds Ratio (AOR) with 95% confidence interval. Overall prevalence of post abortion contraceptive use was observed to be 25.6% (95% CI: 23.24, 28.12). Women's age 15-24 (AOR = 2.34; 95% CI: 1.11, 4.93), and 25-34 (AOR = 1.94; 95% CI: 1.27, 2.98), married women (AOR = 2.6; 95% CI: 1.43, 4.96), women who had 1-4 (AOR = 4.13; 95% CI: 1.79, 9.57) and ≥ 5 number of children (AOR = 8.80; 95% CI: 3.30, 13.49), Being in metropolitan region (AOR = 9.14; 95% CI: 1.79, 12.48), women being in urban area (AOR = 1.85; 95% CI: 1.32, 2.24), and community media exposure (AOR = 1.75; 95% CI: 1.11, 3.56) were associated with post abortion modern contraceptive use. Post abortion modern contraceptive use in this study was low. Women age, current marital status, number of living children, residency, community media exposure, and region were significantly associated with post abortion modern contraceptive utilization. Therefore, it is better to provide ongoing health information about post-abortion family planning and its benefits, especially for people who live in rural and small peripheral regions, and public health policymakers should take both individual and community level factors into account when designing family planning programmes.