A Multilevel Analysis to Determine the Factors Associated with Institutional Delivery in Nepal: Further Analysis of Nepal Demographic and Health Survey 2016

Multilevel Count Regression Analysis of Factors Associated with the Desired Number of Antenatal Care Service Visits in Ethiopia

BACKGROUND

Visiting the desired number of antenatal care services improve the success of maternal health programs in terms of mother and child health. The study aimed to identify the factors associated with differences in the number of antenatal care service visits across and within regions of Ethiopia by using the 2019 Ethiopian Mini Demographic Health Survey (EMDHS).

METHODS

A total of 3979 women who were pregnant or gave birth within 5 years preceding the survey from the 2019 Ethiopian Mini Demographic Health Survey were included in the analysis. A multi-level Hurdle negative binomial regression model was selected to consider the hierarchical nature of the data in determining the factors associated with the barriers to the desired number of antenatal care service visits.

RESULTS

About one-fourth (26.2%) of mothers did not visit any antenatal care, and only 137 (3.4%) women visited the service eight times and above. The random intercept with the fixed coefficient of multilevel Hurdle negative binomial model results has shown that women in the age group between 25 and 34 (AOR = 1.057), in the age group between 35 and 49 (AOR = 1.108), protestant religion follower women (AOR = 0.918), Muslim women (AOR = 0.945), other religion follower women (AOR = 0.768), mothers in primary educational level (AOR = 1.123), secondary and higher education level (AOR = 1.228), rich mothers (AOR = 1.134), and mothers living in rural (AOR = 0.789) were statistically associated with regional variation regarding the frequency of ANC service visits.

CONCLUSIONS

The majority of pregnant women did not visit antenatal care services according to the findings of this study. This study's results revealed that the predictor variables such as mother's age, education level, religion, place of residence, marital status, and wealth index were significant, and the findings revealed that there were regional differences in ANC visits in Ethiopia. Women's economic and educational interventions should be a top priority.

Investigating Health Inequality Using Trend, Decomposition and Spatial Analyses: A Study of Maternal Health Service Use in Nepal

Objectives: (a) To quantify the level and changes in socioeconomic inequality in the utilization of antenatal care (ANC), institutional delivery (ID) and postnatal care (PNC) in Nepal over a 20-year period; (b) identify key drivers of inequality using decomposition analysis; and (c) identify geographical clusters with low service utilization to inform policy. Methods: Data from the most recent five waves of the Demographic Health Survey were used. All outcomes were defined as binary variables: ANC (=1 if ≥4 visits), ID (=1 if place of delivery was a public or private healthcare facility), and PNC (=1 if ≥1 visits). Indices of inequality were computed at national and provincial-level. Inequality was decomposed into explanatory components using Fairile decomposition. Spatial maps identified clusters of low service utilization. Results: During 1996-2016, socioeconomic inequality in ANC and ID reduced by 10 and 23 percentage points, respectively. For PND, the gap remained unchanged at 40 percentage points. Parity, maternal education, and travel time to health facility were the key drivers of inequality. Clusters of low utilization were displayed on spatial maps, alongside deprivation and travel time to health facility. Conclusion: Inequalities in the utilization of ANC, ID and PNC are significant and persistent. Interventions targeting maternal education and distance to health facilities can significantly reduce the gap.

Institutional delivery service utilization and associated factors in fragile and conflict-affected situations in Sekota town, Northern Ethiopia, 2022: A community-based cross-sectional study

Background

Conflict-affected areas are considered to contribute a substantial proportion of worldwide maternal deaths. However, research on maternal health care in conflict-affected countries is very limited. In the absence of recent data, it is impossible to monitor progress made in mitigating the effect of conflict on maternal survival. As a result, this study targeted to assess institutional delivery services usage and influencing factors in a fragile and conflict-affected situation in Sekota town, Northern Ethiopia.

Methods

A community-based cross-sectional study was employed among 420 mothers in Sekota town, Northern Ethiopia from July 15th to 30th, 2022. The desired sample size was determined using a single population proportion formula. The data were collected by using interviewer administered structured questionnaire; entered via EpiData version 4.6 and analyzed using SPSS version 25 software. To identify the associated factors, a bivariable and multivariable logistic regression model was applied. The level of significance was declared at a p-value of <0.05. An adjusted odds ratio with a 95% confidence interval was considered to see the strength of the association between dependent and independent variables.

Results

Of the total respondent, 202 (48.1%), 95% CI: (43.0%, 53.0%) mothers utilized institutional delivery service. The use of institutional delivery services was associated with the maternal educational level of secondary school and above (AOR = 2.06, 95% CI: 1.08-3.93), antenatal care during the most recent pregnancy (AOR = 5.24, 95% CI: 3.01-9.11), being informed on birth preparedness and complication readiness (AOR = 1.93, 95% CI: 1.23-3.02) and displacement of the respondents from their usual place of residence due to conflict (AOR = 0.41, 95% CI: 0.21-0.68).

Conclusion

Institutional delivery service utilization was very low in the study setting. Healthcare for women in conflict-prone areas requires critical attention and should be given priority during the conflict. More prospective research is needed to fully understand and reduce the impact of conflict on maternal and neonatal health care.

Factors associated with health facility delivery among reproductive age women in Nepal: an analysis of Nepal multiple indicator cluster survey 2019

BACKGROUND

Despite existing efforts to improve maternal health in Nepal, delivery in a health facility with skilled providers is still a major health concern in Nepal. This study aimed to examine the factors associated with delivery in a health facility with skilled providers among women aged 15-49 years in Nepal.

METHODS

This study used data from Nepal Multiple Indicator Cluster Survey 2019, a nationally representative cross-sectional survey. This survey was a two-stage, stratified cluster sampling. A total of 1,950 married women aged 15-49 years who had at least one live birth in the last two years preceding the survey were included in the analysis. Bivariate and multivariate logistic regression analyses were performed in this study.

RESULTS

Seventy-five percent of women are delivered in a health facility with skilled providers. Women from urban areas (AOR = 1.74, p < 0.01), women residing in Sudurpaschim province (AOR = 5.64, p < 0.001), women with first parity (AOR = 2.82, p < 0.001), and women from rich household status (AOR = 4.60, p < 0.001) and women who attained at least four ANC visits (AOR = 10.81, p < 0.001) were associated with higher odds of delivering in a health facility. Women who were more educated and used the internet were more likely to deliver in a health facility by a skilled provider.

CONCLUSION

Place of residence, household wealth status, and ANC visits appear to be the strongest predictors of health facility delivery with skilled providers in Nepal. Disparities in delivery in a health facility with skilled providers persist among provinces and caste/ethnicity.

Determinants of institutional maternity services utilization in Myanmar

Background

Maternal mortality is a persistent public health problem worldwide. The maternal mortality ratio of Myanmar was 250 deaths per 100,000 live births in 2017 which was the second-highest among ASEAN member countries in that year. Myanmar’s infant mortality rate was twice the average of ASEAN member countries in 2020. This study examined factors influencing institutional maternity service utilization and identified the need for improved maternal health outcomes.

Methods

A cross-sectional study design was used to examine the experience of 3,642 women from the 2015–16 Myanmar Demographic and Health Survey by adapting Andersen’s Behavioral Model. Both descriptive and inferential statistics were applied. Adjusted odds ratios and 95% confidence interval were reported in the logistic regression results.

Results

The findings illustrate that the proportion of women who delivered their last child in a health/clinical care facility was 39.7%. Women live in rural areas, states/regions with a high levels of poverty, poor households, experience with financial burden and the husband’s occupation in agriculture or unskilled labor were negatively associated with institutional delivery. While a greater number of ANC visits and level of the couple’s education had a positive association with institutional delivery.

Conclusion

The determinants of institutional delivery utilization in this study related to the institutional facilities environment imply an improvement of the institutional availability and accessibility in rural areas, and different states/regions, particularly Chin, Kayah and Kachin States- the poorest states in Myanmar. The poverty reduction strategies are urgently implemented because problems on health care costs and household economic status played important roles in institutional delivery utilization. The ANC visits indicated a significant increase in institutional delivery. The government needs to motivate vulnerable population groups to seek ANC and institutional delivery. Moreover, education is crucial in increasing health knowledge, skills, and capabilities. Thus, improving access to quality, formal, and informal education is necessary.

Individual and Community-Level Determinants of Institutional Delivery Services among Women in Bangladesh: A Cross-Sectional Study

BACKGROUND

Improving maternal mortality attracts considerable interest with the critical invention through institutional delivery services (IDS) in reducing maternal death during delivery and ensuring safe childbirth. The influence of both individual and community-level factors is essential to using IDS. Problem Statement. Maternal death may occur at any time, but delivery without designated healthcare is by far the most dangerous time for both woman and her baby. Therefore, to combat the global burden of maternal mortality, it is necessary to ensure IDS worldwide.

OBJECTIVES

This study explores the current knowledge of individual and community-level covariates and examines their extent of influence on the utilization of IDS in Bangladesh.

METHODS

Utilizing Bangladesh Demographic and Health Survey (BDHS) data, this study has used two-level random intercept binary logistic regression, together with the average annual rate of increase (AARI) in the utilization of IDS and related variables.

RESULTS

This study found appreciable changes in seeking IDS, increases from 3.4% in 2007 to 51.9% in 2017, and half of the total deliveries (51%) took place in healthcare. About 26% of the total variation in the utilization of IDS is owing to differences across communities. Further, covariates including communities with higher educated women, higher utilization of ANC and access to media and at individual level, religion, maternal and parental education, wealth index, and mother-level factors (i.e., age at birth, BMI, occupation, ANC visit, birth order, own health care decision, pregnancy intention, and exposure to media) showed significant association with the utilization of IDS.

CONCLUSION

This study observed the association between individual and community-level factors and IDS uptake. Thus, any future strategies must address individual level and community-level challenges and undertake a multisectoral approach to enhance the uptake of IDS.

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).