Individual and community level factors associated with health facility delivery: A cross sectional multilevel analysis in Bangladesh

Antenatal Care Practices: A Population-Based Multicenter Study from Saudi Arabia

Background

Antenatal care (ANC) is the care women receive during pregnancy before birth and represents a cornerstone of maternal and child health. Previously, Saudi women faced various barriers to practicing ANC, including challenges related to transportation, low maternal education, poor communication with healthcare centers, and incorrect maternal beliefs. In line with Saudi Vision 2030, this multicenter cross-sectional study aimed to investigate the timing of ANC contact, coverage of service utilization in public hospitals among Saudi mothers, sociodemographic factors and antenatal health care utilization, and beliefs about prenatal vitamins, and supplement use among pregnant Saudi women.

Methods

Data was collected from 1230 pregnant women across 11 Ministry of Health (MOH) facilities. The study assessed the timing of ANC initiation, beliefs about prenatal vitamins, and the use of folic acid, calcium, and iron during pregnancy. Chi-square tests were employed to analyze associations between variables.

Results

The findings revealed that 14.55% of participants initiated ANC within the first 8 weeks of pregnancy, with 85.44% starting later. However, the majority 88.78% received prenatal care during pregnancy, regardless of the timing of ANC initiation. Beliefs about prenatal vitamins varied, with 20.08% agreeing that prenatal vitamins were only indicated for malnourished mothers, 72.35% disagreeing, and 7.56% uncertain. Moreover, 51.30% believed ANC should begin before pregnancy, 29.83% after pregnancy confirmation, and 13.57% during the first trimester, with no significant correlation between beliefs and ANC timing. Regarding prenatal care, 95.20% would recommend starting prenatal care with every pregnancy, regardless of the timing of their own ANC initiation.

Conclusion

This study offers a comprehensive analysis of factors impacting late ANC contact and inadequate ANC contacts among pregnant Saudi women. These findings contribute to the broader understanding of ANC practices among Saudi women and underscore the importance of considering various determinants for tailored interventions and health education programs.

What predicts health facility delivery among women? analysis from the 2021 Madagascar Demographic and Health Survey

BACKGROUND

One of the pivotal determinants of maternal and neonatal health outcomes hinges on the choice of place of delivery. However, the decision to give birth within the confines of a health facility is shaped by a complex interplay of sociodemographic, economic, cultural, and healthcare system-related factors. This study examined the predictors of health facility delivery among women in Madagascar.

METHODS

We used data from the 2021 Madagascar Demographic and Health Survey. A total of 9,315 women who had a health facility delivery or delivered elsewhere for the most recent live birth preceding the survey were considered in this analysis. Descriptive analysis, and multilevel regression were carried out to determine the prevalence and factors associated with health facility delivery. The results were presented as frequencies, percentages, crude odds ratios and adjusted odds ratios (aORs) with corresponding 95% confidence intervals (CIs), and a p-value < 0.05 was used to declare statistical significance.

RESULTS

The prevalence of health facility delivery was 41.2% [95% CI: 38.9-43.5%]. In the multilevel analysis, women aged 45-49 [aOR = 2.14, 95% CI = 1.34-3.43], those with secondary/higher education [aOR = 1.62, 95% CI = 1.30-2.01], widowed [aOR = 2.25, 95% CI = 1.43-3.58], and those exposed to mass media [aOR = 1.18, 95% CI = 1.00-1.39] had higher odds of delivering in health facilities compared to those aged 15-49, those with no formal education, women who had never been in union and not exposed to mass media respectively. Women with at least an antenatal care visit [aOR = 6.95, 95% CI = 4.95-9.77], those in the richest wealth index [aOR = 2.74, 95% CI = 1.99-3.77], and women who considered distance to health facility as not a big problem [aOR = 1.28, 95% CI = 1.09-1.50] were more likely to deliver in health facilities compared to those who had no antenatal care visit. Women who lived in communities with high literacy levels [aOR = 1.54, 95% CI = 1.15-2.08], and women who lived in communities with high socioeconomic status [aOR = 1.72, 95% CI = 1.28-2.31] had increased odds of health facility delivery compared to those with low literacy levels and in communities with low socioeconomic status respectively.

CONCLUSION

The prevalence of health facility delivery among women in Madagascar is low in this study. The findings of this study call on stakeholders and the government to strengthen the healthcare system of Madagascar using the framework for universal health coverage. There is also the need to implement programmes and interventions geared towards increasing health facility delivery among adolescent girls and young women, women with no formal education, and those not exposed to media. Also, consideration should be made to provide free maternal health care and a health insurance scheme that can be accessed by women in the poorest wealth index. Health facilities should be provided at places where women have challenges with distance to other health facilities. Education on the importance of antenatal care visits should also be encouraged, especially among women with low literacy levels and in communities with low socioeconomic status.

Projections of maternal mortality ratios in Bangladesh

Background

The objective of this study was to predict when Bangladesh would achieve Sustainable Development Goal Target 3.1, which is to reduce the maternal mortality ratio (MMR) to less than 70 per 100 000 live births.

Methods

We used secondary data from the 1993 to 2017 Bangladesh Demographic and Health Surveys and other sources to project the MMR until 2060 under several scenario assumptions using an autoregressive moving average model with exogenous variables (ARMAX). Explanatory variables were selected based on the three delays model, and a reference forecast and four practical scenarios were simulated: Scenario 1 assumed a 4% annual increase in institutional deliveries, Scenario 2 followed the national goals, the reference forecast and Scenario 3 varied in terms of district-wise increase rates (Scenario 3 had a lower rate of increase), and Scenario 4 assumed minimal changes in institutional deliveries.

Results

Scenario 1 was the earliest, with an MMR of <70 per 100 000 live births in 2026. Scenario 2 would meet the target of <70 per 100 000 live births in 2029. The reference forecast had the third lowest MMR, with 69.78 per 100 000 live births (95% prediction intervals (PI) = 32.44 to 107.11) in 2049. Although the MMR for Scenario 3 decreased slowly, it would not reduce below 70 per 100 000 live births by 2060. Scenario 4, which had the highest MMR, also resulted in the MMR not reducing below 70 per 100 000 live births by 2060.

Conclusions

To increase the institutional delivery rate and reduce the MMR, as in Scenarios 1 and 2, it is necessary to improve the institutional delivery rate in regions with low institutional delivery rates. Additionally, health facilities need to provide appropriate quality medical care to increase the institutional delivery rate and contribute to a decrease in the MMR, as shown by the results of this study.

Spatial patterns and determinants of low utilization of delivery care service and postnatal check-up within 2 months following birth in Ethiopia: Bivariate analysis

BACKGROUND

Home delivery is a nonclinical childbirth practice that takes place in one's home with or without traditional birth attendants and postnatal care is the care given to the mother and her newborn baby; according to world health organization (WHO), the postnatal phase, begins one hour after birth and lasts six weeks (42 days). This paper aimed to study the spatial pattern and determinant factors of low utilization of delivery care (DC) services and postnatal check-up (PNC) after live births in Ethiopia.

METHODS

This study used the 2016 Ethiopian Demographic and Health Survey data as a source. A total weighted samples of 11023 women-children pairs were included. The bivariate binary logistic regression analyses with spatial effect were modeled using SAS version 9.4 and ArcGIS version 10.8 was used for mapping.

RESULTS

The spatial distribution of low utilization of delivery care service and postnatal check-up were significantly clustered in Ethiopia (Moran's I statistic 0.378, P-value < 0.001 and 0.177, P-value < 0.001 respectively). Among 11023 children-women pair, the prevalence of home delivery and no postnatal check-up within two months following birth were 72.6% and 91.4% respectively. The Liben, Borena, Guji, Bale, Dolo and Zone 2 were predicted to have high prevalence of home delivery and part of Afder, Shabelle, Korahe, Dolo and Zone 2 were high risk areas of no postnatal checkup.

CONCLUSION AND RECOMMENDATIONS

Lack of occupation, region, large family size, higher birth order, low utilization of antenatal care visit, unable to access mass media, big problem of health facility distance and the spatial variable were found to be jointly significant predictors of low utilization of DC and PNC in Ethiopia. Whereas older age, being reside in rural area and low wealth status affects delivery care service utilization. We suggest health providers, policy makers and stakeholders consider those variables with priority given to Liben, Borena, Guji, Bale, Dolo, Zone 2, Afder, Shabelle and Korahe, where home delivery and no PNC were predicted relatively high. We also recommend researchers to conduct further studies using latest survey data set.

Determinants of institutional delivery service utilization in Nepal

BACKGROUND

Maternal mortality continues to be a pressing concern in global health, presenting an enduring and unmet challenge for healthcare systems worldwide. Utilization of institutional delivery services has been established as a proven intervention to mitigate life-threatening risks for both mothers and newborns. Exploring the determinants of institutional delivery is crucial to improve and enhance maternal and newborn safety. This study aimed to assess the contextual and individual factors associated with institutional delivery in Nepal.

METHODS

This study utilized that data form Nepal Multiple Indicator Survey 2019, which included a sample of 1,932 women who had given birth within the two years prior to the survey. A multilevel logistic regression analysis was performed to determine the significant external environment, contextual and individual predictors of institutional delivery.

RESULTS

The women from Madhesh province [Adjusted Odds Ratio (aOR): 0.32, 95% Confidence Interval (CI): 0.17-0.61], as compared to Bagmati province, women from rural areas (aOR: 0.55, 95% CI: 0.39-0.78) as compared to urban areas, and women from a relatively less-advantaged ethnic groups (aOR: 0.52, 95% CI: 0.35-0.76) as compared to the relatively advantaged ethnic groups were less likely to deliver in health institutions. Similarly, women from the poorest (aOR: 0.09, 95% CI: 0.04-0.22) and second wealth groups (aOR: 0.29, 95% CI: 0.13-0.64) were less likely to attend institute for delivery compared to women from the richest household. Women with formal education (aOR: 1.65, 95% CI: 1.16-2.35) were more likely to deliver in an institution over uneducated women. Moreover, the uptake of institutional delivery increased by 59% (aOR: 1.59, 95% CI: 1.43-1.75) for each additional ANC visit.

CONCLUSION

The findings highlight the importance of stepping up efforts to achieve universal health care from the standpoint of long-term government investment, focusing particularly on illiterate women in rural areas, poorer households, and socially disadvantaged groups. Expanding the benefits of maternal benefit schemes targeting the women from the poorest households in the communities is recommended.

Role of community-level emergency contraceptive pills awareness and possibilities of long-acting reversible or permanent methods in reducing unwanted births in Bangladesh: evidence from a nationwide cross-sectional survey

OBJECTIVE

This study aims to investigate the role of community-level emergency contraceptive pill (ECP) awareness in reducing unwanted births (UWBs) in Bangladesh and explore the regional variation in women's appropriateness to adopt long-acting reversible contraceptives or permanent methods (LARCPMs) based on their child desire.

DESIGN, SETTINGS AND PARTICIPANTS

We used data from the cross-sectional Bangladesh Demographic and Health Survey 2017-2018. We analysed the planning status of the last live birth 3 years preceding the survey of 20,127 ever-married women of reproductive age.

METHODS

Considering women were nested within clusters, a mixed-effect multiple logistic regression was implemented to investigate the association between community-level ECP awareness and UWB by controlling for the effects of contextual, individual, and household characteristics.

RESULTS

Only 3.7% of women belonged to communities with high ECP awareness. At the national level, 2% of women had UWB. About 2.1% of women who resided in communities of low ECP awareness had UWB, while UWB was only 0.5% among women residing in high ECP awareness communities. The odds of UWB was 71% lower among women who resided in high ECP awareness communities than among those who resided in communities with low ECP awareness. However, community-level ECP awareness could not avert mistimed birth. Dhaka, Chattogram and Rangpur held the highest share of UWB. Fertility persisted for 89% of the women who wanted no more children. Among women who wanted no more children, 15% were not using any method, 13% used traditional family planning methods and only 13% adopted LARCPM. These women mostly resided in Dhaka, followed by Chattogram and Rajshahi.

CONCLUSION

This study highlights the significant positive role of ECP awareness in reducing UWB in Bangladesh. Findings may inform policies aimed at increasing LARCPM adoption, particularly among women residing in Dhaka and Chattogram who want no more children.

Influencing factors associated with maternal delivery at home in urban areas: a cross-sectional analysis of the Bangladesh Demographic and Health Survey 2017-2018 data

BACKGROUND

The associated factors and patterns of giving birth in home settings of rural areas have been extensively studied in Bangladeshi literature. However, urban areas still need to be explored, particularly with recent data. Therefore, the authors aimed to investigate the influential determinants of delivery at home in urban areas of Bangladesh.

MATERIALS AND METHODS

In this study, 1699 urban-dwelling women who had given birth within the previous 60 months of the survey and lived in urban areas were used. The secondary data were extracted from the latest Bangladesh Demographic and Health Survey 2017-2018. Descriptive statistics and logistic regression were applied along with the association among selected variables were examined by the Chi-square test.

RESULTS

Findings depict that 36.49% of women who lived in urban areas of Bangladesh delivered at home, whereas, 63.51% delivered at different govt. and private health care facilities. Women who lived in Chittagong [adjusted odds ratio (AOR) = 2.11, 95% CI 1.24-3.60], Barisal [AOR = 2.05, 95% CI 1.16-3.64] and Sylhet [AOR = 1.92, 95% CI 1.08-3.43] divisions have more likelihood to deliver at home (36.85%). Urban women following Christian religion [AOR = 10.71, 95% CI 1.32-86.68] have higher odds of delivering child at home (0.47%). Urban women having three or more children before her latest delivery (22.37%) and who are employed (29.37%) have more likelihood to deliver at home. However, women aged between 25 and 34 years (43.50%), who have higher education (25.90%), play the role of household head (9.06%), have parity of more than two births (2.24%), and read daily newspapers (68.69%) had a lower chance of delivery at home. Furthermore, women from wealthier families (89.12%) and more antenatal care (ANC) visits (94.93%) were less likely to have a delivery at home.

CONCLUSION

Despite significant progress in women and reproductive health in Bangladesh, the proportion of delivery in the home in urban areas is alarming and should be emphasized more. The authors believe the identified factors will help design interventions and policy development on this issue.

Effects of a community-level intervention on maternal health care utilization in a resource-poor setting of Northern Ghana

BACKGROUND

This study aimed to assess the effects of health education and community-level participatory interventions at the community level and the use of community maternal health promoters on the utilization of maternal health care services in poor rural settings of northern Ghana.

METHODS

A randomized controlled survey design was conducted from June 2019 to July 2020 in two rural districts of northern Ghana. A multistage cluster sampling technique was used to select the participants. Data were collected from a repeated cross-sectional household survey. Descriptive analysis, bivariate and covariates adjusted simple logistic regression analyses were performed using STATA version 16 statistical software.

RESULTS

At post-intervention, the two groups differed significantly in terms of ANC (p = 0.001), skilled delivery (SD) (p = 0.003), and PNC (p < 0.0001). Women who received health education on obstetric danger signs had improved knowledge by 50% at the end of the study. Women who received the health education intervention (HEI) on practices related to ANC and skilled delivery had increased odds to utilize ANC (AOR = 4.18; 95% CI = 2.48-7.04) and SD (AOR = 3.90; 95% CI = 1.83-8.29) services. Institutional delivery and PNC attendance for at least four times significantly increased from 88.5 to 97.5% (p < 0.0001), and 77.3-96.7% (p < 0.0001) respectively at postintervention. Women who had received the HEI were significantly more likely to have good knowledge about obstetric danger signs (AOR = 10.17; 95% CI = 6.59-15.69), and BPCR (AOR = 2.10; 95% CI = 1.36-3.24). Women who had obtained tertiary education were significantly more likely to make at least four visits to ANC (AOR = 2.38; 95% CI = 0.09-1.67).

CONCLUSIONS

This study suggests that the use of health education and participatory sessions led by community-based facilitators could be a potentially effective intervention to improve the knowledge of women about obstetric danger signs and encourage the uptake of maternity care services in resource-poor settings of Ghana.

Maternal healthcare utilization in rural Bangladesh: A comparative analysis between high and low disaster-prone areas

This study examined the disparity in antenatal care (ANC) visits and institutional delivery between high-disaster-prone (HDP) and low-disaster-prone (LDP) areas, defined based on multi-hazards, in Bangladesh and assessed the influencing factors using Andersen's behavioral model. In this study, cross-sectional data of 345 mothers, who had live birth the year preceding the survey, were used from the second-round multipurpose survey of a longitudinal research project conducted in May-June 2011. Hierarchical multinomial logistic and binary logistic models were respectively used to assess the determinants of ANC contacts and choice of childbirth place. We found very low utilization of 4+ ANC visits in both HDP (20%) and LDP (15%) areas. The difference is also not significant. The strong influencing factors of receiving 4+ ANC were mother's education, household size, income, and proximity to health facility. The level of institutional delivery was also low (21%), and no significant difference between HDP (15.2%) and LDP (25.7%) was found. However, in the case of institutional delivery, significant (p-value ≤ .01) difference was found in C-section between HDP (42%) and LDP (79%). A significant (p-value ≤ .05) difference was also found in the attendance of graduate doctors/gynecologists between HDP (58%) and LDP (88%). Mothers of HDP areas were 52 percent less likely to choose institutional delivery compared to those of LDP areas. Moreover, there was 30 percent less likelihood of choosing institutional delivery with an increase in distance to the nearest health facility. Specific demand-side (e.g., awareness raising, expanding maternal voucher scheme, covering more mothers under maternal allowance, and facilitating more income-generating activities especially off-farm ones) and supply-side interventions (e.g., providing training to local traditional birth attendants, and deployment of boat-based medical teams in coastal and char areas) need to be undertaken to increase institutional delivery, especially in HDP areas. However, the ultimate solution depends on adopting long-term measures to prepare facilities ready by filling the vacant posts and reducing absenteeism. Public-private partnerships modality can also be introduced especially in the HDP areas. Policy attention is needed to introduce such interventions.

Effectiveness of eight or more antenatal contacts on health facility delivery and early postnatal care in low- and middle-income countries: a propensity score matching

Background

Despite progress in reducing maternal and child mortality, many low- and middle-income countries (LMICs) still experience an unacceptably high level of the problem. The World Health Organization (WHO) recently recommended pregnant women should have at least eight antenatal care visits (ANC8+) with a trained healthcare provider as a key strategy to promote pregnant women's health. Antenatal care is an imperative factor for subsequent maternal healthcare utilization such as health facility delivery and early postnatal care (EPNC). This study aimed to examine the net impact of ANC8+ visits on health facility delivery and EPNC in LMICs using a propensity score matching analysis.

Methods

We used the recent Demographic and Health Survey (DHS) datasets from 19 LMICs. Women of reproductive age (15-49 years) who had given birth within 1 year preceding the survey were included. A propensity score matching analysis was employed to assess the net impact of eight or more antenatal care visits on health facility delivery and early postnatal care.

Result

After matching the covariates, women who attended ANC8+ visits had a 14% (ATT = 0.14) higher chance of having their delivery at health facilities compared with women who attended less than eight ANC visits. This study further revealed that women who had ANC8+ visits were associated with a 10% (ATT = 0.10) higher probability of early PNC compared with their counterparts.

Conclusion and recommendation

This study confirmed that ANC8+ visits significantly increased the likelihood of health facility-based delivery and early PNC utilization in LMICs. These findings call for public health programs to focus on pregnant women attending adequate ANC visits (according to revised WHO recommendation) as our study indicates that ANC8+ visits significantly improved the chances of subsequent care.

Multilevel logistic regression analysis of factors associated with delivery care service utilization among childbearing women in Ethiopia

Delivery service utilization is one of the key and proven interventions to reduce maternal death during childbearing. In Ethiopia, the utilization of health facilities for delivery service is still at a lower level. This study intends to model the determinant factors for the delivery care service utilization of childbearing mothers in Ethiopia using the 2016 Ethiopian demographic and health survey data. A cross-sectional study design was selected to assess factors associated with delivery care among mothers who had at least one child in the last 5 years before the survey aged 15-49 years in the data. Among these eligible mothers, 3,052 (27.7%) mothers had received delivery service care from health professionals. The results of multilevel logistic regression indicated that those at age 35-49 years (AOR = 0.7808, 95% CI: 0.5965-1.1132), an urban place of residence (AOR = 5.849 95% CI: 4.2755-8.0021), woman's higher level of education (AOR = 3.484, 95% CI: 2.0214-6.0038) and partner's higher educational level (AOR = 1.9335, 95% CI: 3,808-2.07352), household wealth index (AOR = 1.99, 95% CI: 1.724-2.3122), most every day exposed to mass media (AOR = 3.068, 95% CI: 1.456-6.4624), 2-4 birth order number (AOR = 0.604, 95% CI: 0.51845-1.4213), using contraceptive type (AOR = 1.4584, 95% CI: 1.2591-1.6249) and visiting more than 4 antenatal care visits (AOR = 7.574, 95% CI: 6.4824-8.84896) were more likely to give birth at a health facility compared to their counterparts. The woman's and partner's educational level, household wealth index, exposure to mass media and number of antenatal care visits had a positive association with delivery assistance whereas birth order had a negative association. The findings of this study were valuable implications to support strategies and interventions to address delivery care service in Ethiopia.

A multilevel analysis to determine the factors affecting WHO recommended quantity antenatal care utilizations of pregnant women in Bangladesh

Antenatal Care utilizations have become an essential phenomenon to all pregnant women as a means of disease preclusion during pregnancy and safe live birth. To lessen maternal death and disease, proper (minimum eight) antenatal care (ANC) contacts are necessary according to World Health Organization (WHO) new guideline. The aim of this study is to assess the factors affecting proper antenatal care utilization of pregnant Bangladeshi women. The study used data from the most recent Bangladesh Demographic and Health Survey 2017-18 for conducting a two-level binary logistic regression model. A weighted sample of 4866 women and 675 clusters were considered as individual and community level respectively. The results exhibited only 11.6% women took proper antenatal care during pregnancy. The study found 23.9% variability in utilizations of Antenatal care belongs to community-level factors. At individual-level, mother's occupation, body mass index, birth-order, pregnancy intention, education, delivery place, and media access and at community-level, rural communities (AOR = 0.70, 95% C.I = 0.542-0.920), and communities having media access (AOR = 1.38, 95% C.I = 0.979-1.96) had significant relationship with proper antenatal care utilizations of pregnant women. After testing random slopes of individual-level variables, only education of women covariate was found to be varied from community to community. This study suggests that uptake of proper antenatal care depend on both individual and community level covariates and there lies extensive variation among them. Future studies on wider aspect are therefore suggested to determine obstacles in making proper Antenatal care utilizations.

Predicting facility-based delivery in Zanzibar: The vulnerability of machine learning algorithms to adversarial attacks

Background

Community health worker (CHW)-led maternal health programs have contributed to increased facility-based deliveries and decreased maternal mortality in sub-Saharan Africa. The recent adoption of mobile devices in these programs provides an opportunity for real-time implementation of machine learning predictive models to identify women most at risk for home-based delivery. However, it is possible that falsified data could be entered into the model to get a specific prediction result - known as an "adversarial attack". The goal of this paper is to evaluate the algorithm's vulnerability to adversarial attacks.

Methods

The dataset used in this research is from the Uzazi Salama ("Safer Deliveries") program, which operated between 2016 and 2019 in Zanzibar. We used LASSO regularized logistic regression to develop the prediction model. We used "One-At-a-Time (OAT)" adversarial attacks across four different types of input variables: binary - access to electricity at home, categorical - previous delivery location, ordinal - educational level, and continuous - gestational age. We evaluated the percent of predicted classifications that change due to these adversarial attacks.

Results

Manipulating input variables affected prediction results. The variable with the greatest vulnerability was previous delivery location, with 55.65% of predicted classifications changing when applying adversarial attacks from previously delivered at a facility to previously delivered at home, and 37.63% of predicted classifications changing when applying adversarial attacks from previously delivered at home to previously delivered at a facility.

Conclusion

This paper investigates the vulnerability of an algorithm to predict facility-based delivery when facing adversarial attacks. By understanding the effect of adversarial attacks, programs can implement data monitoring strategies to assess for and deter these manipulations. Ensuring fidelity in algorithm deployment secures that CHWs target those women who are actually at high risk of delivering at home.

Trend analysis of multi-level determinants of maternal and newborn postnatal care utilization in Pakistan from 2006 to 2018: Evidence from Pakistan Demographic and Health Surveys

BACKGROUND

Postnatal care (PNC) is crucial for maternal and newborn health. Healthcare-seeking practices within the postpartum period help healthcare providers in early detection of complications related to childbirth and post-delivery period. This study aims to investigate trends of PNC utilization from 2006 to 2018, and to explore the effects of multi-level determinants of both maternal and newborn PNC in Pakistan.

METHODS

Secondary data analysis of the last three waves of the nationally representative Pakistan Demographic and Health Surveys (PDHSs) was conducted Analysis was limited to all those women who had delivered a child during the last 5 years preceding each wave of PDHS Bivariate and multivariate logistic regression was applied to determine the association of maternal and newborn PNC utilization with multi-level determinants at individual, community, and institutional levels.

RESULTS

In Pakistan, an upward linear trend in maternal PNC utilization was found, with an increase from 43.5 to 63.6% from 2006 to 2018. However, a non-linear trend was observed in newborn PNC utilization, with an upsurge from 20.6 to 50.5% from 2006 to 2013, nonetheless a decrease of 30.7% in 2018. Furthermore, the results highlighted that the likelihood of maternal and newborn PNC utilization was higher amongst older age women, who completed some years of schooling, were employed, had decision-making and emotional autonomy, had caesarean sections, and delivered at health facilities by skilled birth attendants. Multivariate analysis also revealed higher odds for women of older age, who had decision-making and emotional autonomy, and had caesarean section deliveries over the period of 2006-2018 for both maternal and newborn PNC utilization. Further, higher odds for maternal PNC utilization were found with parity and size of newborn, while less for ANC attendance and available means of transportation. Furthermore, increased odds were recorded for newborn PNC utilization with the number of children, ANC attendance, gender of child and mass media exposure from 2006 to 18.

CONCLUSION

A difference in maternal and newborn PNC utilization was found in Pakistan, attributed to multiple individual (socio-demographic and obstetrics), community, and institutional level determinants. Overall, findings suggest the need to promote the benefits of PNC for early diagnosis of postpartum complications and to plan effective public health interventions to enhance women's access to healthcare facilities and skilled birth assistance to save mothers' and newborns' lives.

Individual- and community-level determinants of maternal health service utilization in southern Ethiopia: A multilevel analysis

BACKGROUND

Maternal health service utilization decreases maternal morbidity and mortality. However, the existing evidence is inadequate to design effective intervention strategies in Ethiopia.

OBJECTIVES

This study aimed to examine the utilization of maternal health service and identify its determinants among women of reproductive age in southern Ethiopia.

DESIGN

A community-based cross-sectional study was conducted from October 21 to November 11, 2022 on a sample of 1140 women selected randomly from the Northern Zone of the Sidama region.

METHODS

Data were collected using the Open Data Kit mobile application and exported to Stata version 15 for analysis. We used a multilevel mixed-effects modified Poisson regression with robust standard error to identify determinants of maternal health service utilization.

RESULTS

Utilization of antenatal care, health facility delivery, and postnatal care was 52.0% (95% confidence interval: 49.0%, 55.0%), 48.5% (95% confidence interval: 45.6%, 51.4%), and 26.0% (95% confidence interval: 23.0%, 29.0%), respectively. Antenatal care use was associated with receiving model family training (adjusted prevalence ratio: 1.19; 95% confidence interval: 1.06, 1.35), knowledge of antenatal care (adjusted prevalence ratio: 1.54; 95% confidence interval: 1.31, 1.81), perceived quality of antenatal care (adjusted prevalence ratio: 1.02; 95% confidence interval: 1.01, 1.03), and having birth preparedness plan (adjusted prevalence ratio: 1.13; 95% confidence interval: 1.02, 1.25). The identified determinants of health facility delivery use were middle wealth rank (adjusted prevalence ratio: 1.35; 95% confidence interval: 1.03, 1.77), perceived quality of health facility delivery (adjusted prevalence ratio: 1.02; 95% confidence interval: 1.01, 1.03), antenatal care (adjusted prevalence ratio: 1.76; 95% confidence interval: 1.36, 2.26), and high community-level women literacy (adjusted prevalence ratio: 1.55; 95% confidence interval: 1.10, 2.19). Postnatal care use was associated with facing health problems during postpartum period (adjusted prevalence ratio: 1.79; 95% confidence interval: 1.18, 2.72), urban residence (adjusted prevalence ratio: 3.52; 95% confidence interval: 2.15, 5.78), knowledge of postnatal care (adjusted prevalence ratio: 1.11; 95% confidence interval: 1.04, 1.19), and low community-level poverty (adjusted prevalence ratio: 0.43; 95% confidence interval: 0.25, 0.73).

CONCLUSION

Maternal health service use was low in the study area and was influenced by individual- and community-level determinants. Any intervention strategies must consider multi-sectorial collaboration to address determinants at different levels. The programs should focus on the provision of model family training, the needs of women who have a poor perception, and knowledge of maternal health service at the individual level.

Individual and Contextual Factors Associated With Maternal and Child Health Essential Health Services Indicators: A Multilevel Analysis of Universal Health Coverage in 58 Low- and Middle-Income Countries

BACKGROUND

Universal health coverage (UHC) is part of the global health agenda to tackle the lack of access to essential health services (EHS). This study developed and tested models to examine the individual, neighbourhood and country-level determinants associated with access to coverage of EHS under the UHC agenda in low- and middle-income countries (LMICs).

METHODS

We used datasets from the Demographic and Health Surveys (DHSs) of 58 LMICs. Suboptimal and optimal access to EHS were computed using nine indicators. Descriptive and multilevel multinomial regression analyses were performed using R and STATA.

RESULTS

The prevalence of suboptimal and optimal access to EHS varies across the countries, the former ranging from 5.55% to 100%, and the latter ranging from 0% to 90.36% both in Honduras and Colombia, respectively. In the fully adjusted model, children of mothers with lower educational attainment (relative risk ratio [RRR] 2.11, 95% credible interval [CrI] 1.92 to 2.32) and those from poor households (RRR 1.79, 95% CrI 1.61 to 2.00) were more likely to have suboptimal access to EHS. Also, those with health insurance (RRR 0.72, 95% CrI 0.59 to 0.85) and access to media (RRR 0.59, 95% CrI 0.51 to 0.67) were at lesser risk of having suboptimal EHS. Similar trends, although in the opposite direction, were observed in the analysis involving optimal access. The intra-neighbourhood and intra-country correlation coefficients were estimated using the intercept component variance; 57.50%% and 27.70% of variances in suboptimal access to EHS are attributable to the neighbourhood and country-level factors.

CONCLUSION

Neighbourhood-level poverty, illiteracy, and rurality modify access to EHS coverage in LMICs. Interventions aimed at achieving the 2030 UHC goals should consider integrating socioeconomic and living conditions of people.

Why maternal continuum of care remains low in Northwest Ethiopia? A multilevel logistic regression analysis

BACKGROUND

Non-adherence to the maternal continuum of care remains a significant challenge. Though early initiation and continuum of care are recommended for mothers' and newborns' well-being, there is a paucity of evidence that clarify this condition in resource-limited settings. This study aimed to assess the level of women's completion of the maternal continuum of care and factors affecting it in Northwest Ethiopia.

METHODS

A community-based cross-sectional study was conducted from October to November, 2020. Data were collected from 811 women who had a recent history of birth within the past one year. The random and fixed effects were reported using an adjusted odds ratio with a 95% confidence interval. The p-value of 0.05 was used to declare significantly associated factors with women's completion of the maternal continuum of care.

RESULTS

The study revealed that 6.9% (95%CI: 5.3-8.9%) of women were retained fully on the continuum of maternal care, while 7.89% of women did not receive any care from the existing healthcare system. Attending secondary and above education (AOR = 3.15; 95%CI: 1.25,7.89), membership in the women's development army (AOR = 2.91; 95%CI: 1.56,5.44); being insured (AOR = 2.59; 95%CI: 1.33,5.01); getting health education (AOR = 2.44; 95%CI: 1.33,4.45); short distance to health facility (AOR = 4.81; 95%CI: 1.55,14.95); and mass-media exposure (AOR = 2.39; 95%CI: 1.11,5.15) were significantly associated with maternal continuum of care.

CONCLUSIONS

The maternal continuum of care is low in rural northwest Ethiopia compared to findings from most resource-limited settings. Therefore, the existing health system should consider multilevel intervention strategies that focus on providing maternal health education, facilitating insurance mechanisms, encouraging women's participation in health clubs, and ensuring physical accessibility to healthcare facilities to be more effective in improving maternal health services.

Socioeconomic inequalities in the continuum of care across women’s reproductive life cycle in Bangladesh

We examined the association between socioeconomic status (SES) and continuum of care (CoC) completion rate in maternal, neonatal, and child health among mothers in Bangladesh. We used data from the Bangladesh Demographic Health Survey (BDHS) from 2017 to 2018. Our findings were based on the responses of 1527 married women who had at least one child aged 12 to 23 months at the time of the survey. As a measure of SES, we focused on the standard of living (hereinafter referred to as wealth). The CoC for maternal and child health (MNCH) services is the study's outcome variable. The CoC was calculated using seven MNCH interventions: four or more antenatal care (ANC) visits with a skilled practitioner, delivery by a skilled birth attendant, post-natal care for mothers (PNCM) within two days of giving birth, post-natal care for newborns (PNCM) within two days of birth, immunization, age-appropriate breastfeeding, and maternal current use of modern family planning (FP) methods. Only 18.1% of Bangladeshi women completed all seven MNCH care interventions during the reproductive life span. Participants in the high SES group were 2.30 times (95% confidence interval [CI] 1.61–3.28) more likely than those in the low SES group to have higher composite care index (CCI) scores. Women with secondary or higher secondary education, as well as women who were exposed to mass media at least once a week, women who lived in an urban setting, women who had an intended pregnancy, and women with one parity, are associated with high CCI scores when other sociodemographic variables are considered. The complete CoC for MNCH reveals an extremely low completion rate, which may suggest that Bangladeshi mothers, newborns, and children are not receiving the most out of their present health care. Participants in the high SES group displayed higher CCI values than those in the low SES group, indicating that SES is one of the primary drivers of completion of CoC for MNCH services.

Geographical clustering and geographically weighted regression analysis of home delivery and its determinants in developing regions of Ethiopia: a spatial analysis

Background

Nearly three-fourths of pregnant women in Ethiopia give birth at home. However, the spatial pattern and spatial variables linked to home delivery in developing regions of Ethiopia have not yet been discovered. Thus, this study aimed to explore the geographical variation of home delivery and its determinants among women living in emerging (Afar, Somali, Gambella, and Benishangul-Gumuz) regions of Ethiopia, using geographically weighted regression analysis.

Methods

Data were retrieved from the Demographic and Health Survey program's official database (http://dhsprogram.com). In this study, a sample of 441 reproductive-age women in Ethiopia's four emerging regions was used. Global and local statistical analyses and mapping were performed using ArcGIS version 10.6. A Bernoulli model was applied to analyze the purely spatial cluster discovery of home delivery. GWR version 4 was used to model spatial regression analysis.

Results

The prevalence of home delivery in the emerging regions of Ethiopia was 76.9% (95% CI: 72.7%, 80.6%) and the spatial distribution of home delivery was clustered with global Moran’s I = 0.245. Getis-Ord analysis detected high-home birth practice among women in western parts of the Benishangul Gumz region, the Eastern part of the Gambela region, and the Southern and Central parts of the Afar region. Non-attendance of antenatal care, living in a male-headed household, perception of distance to a health facility as a big problem, residing in a rural area, and having a husband with no education significantly influenced home delivery in geographically weighted regression analysis.

Conclusions

More than three-fourths of mothers in the developing regions of Ethiopia gave birth at home, where high-risk locations have been identified and the spatial distribution has been clustered. Thus, strengthening programs targeted to improve antenatal care service utilization and women’s empowerment is important in reducing home birth practice in the study area. Besides, supporting the existing health extension programs on community-based health education through home-to-home visits is also crucial in reaching women residing in rural settings.

Machine learning for maternal health: Predicting delivery location in a community health worker program in Zanzibar

Background

Maternal and neonatal health outcomes in low- and middle-income countries (LMICs) have improved over the last two decades. However, many pregnant women still deliver at home, which increases the health risks for both the mother and the child. Community health worker programs have been broadly employed in LMICs to connect women to antenatal care and delivery locations. More recently, employment of digital tools in maternal health programs have resulted in better care delivery and served as a routine mode of data collection. Despite the availability of rich, patient-level data within these digital tools, there has been limited utilization of this type of data to inform program delivery in LMICs.

Methods

We use program data from 38,787 women enrolled in Safer Deliveries, a community health worker program in Zanzibar, to build a generalizable prediction model that accurately predicts whether a newly enrolled pregnant woman will deliver in a health facility. We use information collected during the enrollment visit, including demographic data, health characteristics and current pregnancy information. We apply four machine learning methods: logistic regression, LASSO regularized logistic regression, random forest and an artificial neural network; and three sampling techniques to address the imbalanced data: undersampling of facility deliveries, oversampling of home deliveries and addition of synthetic home deliveries using SMOTE.

Results

Our models correctly predicted the delivery location for 68%–77% of the women in the test set, with slightly higher accuracy when predicting facility delivery versus home delivery. A random forest model with a balanced training set created using undersampling of existing facility deliveries accurately identified 74.4% of women delivering at home.

Conclusions

This model can provide a “real-time” prediction of the delivery location for new maternal health program enrollees and may enable early provision of extra support for individuals at risk of not delivering in a health facility, which has potential to improve health outcomes for both mothers and their newborns. The framework presented here is applicable in other contexts and the selection of input features can easily be adapted to match data availability and other outcomes, both within and beyond maternal health.

Determinants and Trends of Health Facility Delivery in Bangladesh: A Hierarchical Modeling Approach

Background

Most maternal deaths occur during childbirth and after childbirth. This study was aimed at determining the trends of health facilities during delivery in Bangladesh, as well as their influencing factors.

Methods

This study used secondary data from three Bangladesh Multiple Indicator Cluster Surveys (MICSs) in 2006, 2012–13, and 2019. The study's target sample was those women who gave birth in the last two years of the survey. A two-level logistic regression was applied to determine the effects on health facility delivery separately in these two survey points (MICSs 2012–13 and 2019).

Results

The results show that the delivery of health facilities has increased by almost 37.4% in Bangladesh, from 16% in 2006 to 53.4% in 2019. The results of two-level logistic regression show that the total variation in health facility delivery across the community has decreased over recent years. After adding community variables, various individual-level factors such as women with secondary education (OR = 0.55 in 2012-13 vs. OR =0.60 in 2019), women from middle wealth status (OR = 0.49 in 2012-13 vs. OR = 0.65 in 2019), religion, and child ever born showed a strong relationship with health facility delivery in both survey years. At the community level, residents showed significant association only in the 2012-13 survey and indicated a 43% (OR = 1.43 for 2012-13) greater availability of health facilities in urban residences than in rural residences. Using media showed a highly significant connection with health facility delivery in both years as well as an increasing trend over the years in Bangladesh (OR = 1.19 in 2012-13 vs. OR = 1.38 in 2019). However, division, prenatal care, and skilled services all contribute greatly to increasing the delivery of health facilities in Bangladesh.

Conclusions

The results of this study suggest that policymakers need to pay attention to individual and community-level factors, especially women's education, poverty reduction, and adequate prenatal care provided by well-trained caregivers.

A multilevel assessment of the influence of education on women's uptake of institutional delivery services during childbirth in Bangladesh

OBJECTIVES

Despite a significant decline over time, maternal mortality remains high in Bangladesh. Institutional delivery during childbirth is crucial to reducing maternal mortality, but uptake of institutional delivery services (IDS) remains suboptimal in Bangladesh. Though women's education plays a crucial role in the use of IDS, the educational status of the household head and area-level literacy rate also appear to act as predictors of IDS uptake. This study aims to assess the effect of the educational status of women and household heads as well as district-level adult literacy rates on the use of IDS during childbirth among women in Bangladesh.

DESIGN

This study analyzed nationally representative cross-sectional survey data from the 2019 Bangladesh Multiple Indicator Cluster Survey.

SETTING

Bangladesh.

PARTICIPANTS

9,207 currently married women aged 15-49 years who had at least one live birth in the two years preceding the survey were included in the study. The outcome measure was women's use of IDS during their last childbirth. A multilevel logistic regression model was used to explore the association between education status of women and household heads, and district (i.e., area unit) adult literacy rates and uptake of IDS among women in Bangladesh by controlling for other sociodemographic covariates and clustering.

RESULTS

About 53% of women used IDS during childbirth. Adjusting for other factors and clustering, women with higher educational status, those living in households with higher-educated heads, and those in districts with greater adult literacy rates are more likely to use IDS, after controlling for key sociodemographic variables including wealth.

CONCLUSIONS

Uptake of IDS in Bangladesh remains low, with education playing an important independent role in determining rates. The findings of the study provide empirical evidence for policymakers to design multi-modal educational programs targeted not only at literate women but also at household head (especially male) and communities where literacy (and equally importantly health literacy) may be variable or absent.

Individual and community-level factors associated with skilled birth attendants during delivery in Bangladesh: A multilevel analysis of demographic and health surveys

Background

Skilled birth attendants (SBAs) play a crucial role in reducing infant and maternal mortality. Although the ratio of skilled assistance at birth has increased in Bangladesh, factors associated with SBA use are unknown. The main goal of our study was to reveal the individual- and community-level factors associated with SBA use during childbirth in Bangladesh. We also showed the prevalence and trend of SBA use and related independent variables in Bangladesh over the past decade.

Methods

This study utilized the Bangladesh Health and Demographic Survey (BDHS) 2017–2018, a cross-sectional study. We used binary logistic regression to examine the extent of variation in SBA use attributable to the individual- and community-level variables.

Results

Overall, 53.35% of women received assistance from SBAs during childbirth. The average annual rate of increase (AARI) in the number of SBA-assisted births over the past 10 years was 8.88%. Respondents who gave birth at or above 19 years had 1.40 times (AOR = 1.40; 95% CI: 1.21–1.62) greater odds of having skilled delivery assistance than respondents aged 18 years old or less. Women and their husband’s education levels were significantly associated with using skilled assistance during delivery, with odds of 1.60 (AOR = 1.60; 95% CI: 1.45–2.01) and 1.41 (AOR = 1.41; 95% CI: 1.21–1.66), respectively compared to those with education up to primary level. Women from rich families and those receiving better antenatal care (ANC) visits were more likely to have professional delivery assistance. Community-level factors also showed significance towards having professional assistance while giving birth. Women from urban communities and those who utilized more than four ANC visits and had completed secondary or higher education showed a greater tendency to use an SBA during childbirth than their counterparts.

Conclusion

The use of SBAs during delivery was significantly associated with some individual- and community-level factors. To reduce maternal and child mortality, there is a need to focus on rural and uneducated people who are less likely to access these facilities. Special programs could increase awareness and help the poor community obtain the minimum facility in maternal care.

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

Background: Antenatal care is an operational public health intervention to minimize maternal and child morbidity and mortality. However, for varied reasons, many women fail to complete the recommended number of visits. The objective of this study was to assess antenatal care utilization and identify the factors associated with the incomplete antenatal care visit among reproductive age women in Ethiopia. Methods: The 2019 Ethiopian Mini Demographic and Health Survey data were used for this study. Multilevel logistic regression analysis and two level binary logistic regression models were utilized. Results: Around 56.8% of women in Ethiopia did not complete the recommended number of antenatal care visits. Women from rural areas were about 1.622 times more likely to have incomplete antenatal care compared to women from urban areas. Women who had no pregnancy complication signs were about 2.967 times more likely to have incomplete antenatal care compared to women who had pregnancy complication signs. Women who had a slight problem and a big problem with the distance from a health center were about 1.776 and 2.973 times more likely, respectively, to have incomplete antenatal care compared to women whose distance from a health center was not a problem. Furthermore, women who had ever terminated pregnancy were about 10.6% less likely to have incomplete antenatal care compared to women who had never terminated pregnancy. Conclusions: The design and strengthening of existing interventions (e.g., small clinics) should consider identified factors aimed at facilitating antenatal care visits to promote maternal and child health related outcomes. Issues related to urban–rural disparities and noted hotspot areas for incomplete antenatal care visits should be given special attention.

How do traditional media access and mobile phone use affect maternal healthcare service use in Bangladesh? Moderated mediation effects of socioeconomic factors

Background

Exposure to traditional media (TV, radio, and newspapers) and the use of mobile as an interpersonal communication tool allow for a variety of information provision. The purpose of this study is to investigate how women’s media and mobile access affect maternal health service (MHS) utilization. The study also aims to look into the moderated mediation effects of socioeconomic variables on the association mentioned above.

Methods

The study analyzed reproductive and media data of 5,011 ever-married women extracted from the latest nationally representative Bangladesh Demographic and Health Survey. Hierarchical logistic regression and moderated mediation analysis are performed to determine the association.

Results

Only 26.9% of women used mobile for health service use, while more than 55% had media access. Media access is significantly associated with all three types of MHS use; mobile usage also has a significant association with antenatal and delivery care. When women have both access to media and mobile, the likelihood of delivering in a health facility increased by 1.82 times (AOR: 1.82, 95%CI: 1.51, 2.20) which is slightly better than having access to only one type of media channel. Women’s education, household wealth, place of residence, religion, and current working status are among the socioeconomic factors associated with access to media and mobile. Women’s education mediates the relationship of media and MHS; however, the mediation effect of women (β: .45; LLCI: .21, ULCI: .68) on the association of media and place of delivery is seen to be moderated by household wealth. Women who belong to well-off families moderates positively (Effect: .33, 95%CI: .27, .40) the education effect of media and where to deliver. Place of residence, another moderator, significantly moderates (Effect: .09, BootLLCI: .02, BootULCI: .16) the mediation effect of women’s education on the association of media and antenatal care visits; women living in urban areas seems to have positively moderated the education effects on the mentioned association.

Conclusions

Provision of media access and mobile use indicate better utilization of MHS in Bangladesh, and women’s education mediates these relationships via the influence of household wealth and area of residence. Therefore, while planning interventions to increase MHS use, its relationships with the media and mobile use should be extrapolated. The collective use of these channels could be a catalyst for the success of health promotion initiatives to improve women’s health behaviors, build community capacity, and create mass awareness that supports the optimal use of MHS in Bangladesh.

Do Predictors of Health Facility Delivery Among Reproductive-Age Women Differ by Health Insurance Enrollment? A Multi-Level Analysis of Nigeria's Data

This study aims to compare determinants of health facility delivery for women under a health insurance scheme and those not under a health insurance scheme. Secondary data drawn from the National Demographic and Health Survey was used for the analysis. The characteristics of the women were presented with simple proportions. Binary multilevel logistic regression was used to examine the determinants of health facilities for women who enrolled in health insurance and those who did not. All statistical analyses were set at 5% level of significant level (p = 0.24). The result showed that 2.1% of the women were under a health insurance scheme. Disparity exists in health insurance ownership as a higher proportion of those enrolled in health insurance were those with higher education attainment, in urban parts of the country, and those situated on higher wealth quintiles. There is a significant difference between those with and those without health insurance. It implies that a higher proportion of women who enrolled in health insurance delivered in health facility delivery compared to those who do not. The unique determinants of health facility delivery for women under health insurance were parity and birth order, while unique determinants of health facility delivery for women not enrolled in health schemes were employment status, marriage type, and geopolitical zones. Uniform predictors of health facility delivery for both groups of women were maternal education, household wealth quintiles, autonomy on healthcare, number of antenatal contacts, residential status, community-level poverty, community-level media use, and community-level literacy. Intervention programs designed to improve health facility delivery should expand educational opportunities for women, improve household socioeconomic conditions, target rural women, and encourage women to undertake a minimum of four antenatal contacts.

Determinants of Utilization of Institutional Delivery Services in Zambia: An Analytical Cross-Sectional Study

Institutional delivery at birth is an important indicator of improvements in maternal health, which remains one of the targets of sustainable development goals intended to reduce the maternal mortality ratio. The purpose of the present study was to identify the determinants of utilization of institutional delivery in Zambia. A population-based cross-sectional study design was used to examine 9841 women aged 15–49 years from the 2018 Zambia Demographic and Health Survey. A multiple logistic regression was applied to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to identify determinants of utilization of institutional delivery. Sociodemographic factors were significantly associated with institutional delivery: woman’s (OR: 1.76; 95% CI: 1.04–2.99) and husband’s (OR: 1.83; 95% CI: 1.09–3.05) secondary/higher education, higher wealth index (OR: 2.31; 95% CI: 1.27–4.22), and rural place of residence (OR: 0.55; 95% CI: 0.30–0.98). Healthcare-related factors were also significantly associated with institutional delivery: 5–12 visits to antenatal care (OR: 2.33; 95% CI: 1.66–3.26) and measuring blood pressure (OR: 2.15; 95% CI: 1.32–2.66) during pregnancy. To improve institutional delivery and reduce maternal and newborn mortality, policymakers and public health planners should design an effective intervention program targeting these factors.

Low utilisation of postnatal care among women with unwanted pregnancy: A challenge for Bangladesh to achieve Sustainable Development Goal targets to reduce maternal and newborn deaths

Pregnancy complications are the major cause of maternal and newborn deaths in low- and middle-income countries that are more frequently associated with unintended pregnancy. The World Health Organization (WHO) recommends postnatal care (PNC) for women and their newborns within 24 hr of birth to prevent pregnancy complications and associated adverse outcomes. We, therefore, examined the relationship between unintended pregnancy and PNC use in Bangladesh. Data from 4,493 women and newborn dyads were extracted from the 2014 Bangladesh Demographic and Health Survey and analysed. PNC was classified as: no PNC; some level of PNC (either the woman or her newborn missed PNC within 24 hr of birth but had at least one PNC visit within 42 days of birth); and WHO's recommended level of PNC (at least one PNC use for both the woman and her child within 24 hr of birth). Pregnancy intention at conception for the last live birth was categorised as wanted, mistimed or unwanted. Multilevel multinomial logistic regression modelling was used to assess the association between pregnancy intention and PNC use, adjusting for possible confounders. We found around 27% of participants had adhered to WHO's PNC use recommendations. Around 26% of pregnancies that resulted in live births were unintended at conception, including 15% of which were classified as mistimed and 11% as unwanted. Following adjustment of confounders, a 37% (OR = 0.63, 95% CI: 0.47-0.85) lower odds of using WHO's recommended level of PNC and a 33% (OR, 95% CI, 0.49-0.93) lower odds of some level of PNC were found for pregnancies that were unwanted relative to those that were wanted. No association was found between mistimed pregnancy and PNC use. Strengthening healthcare facilities and improving the linkage between women and existing healthcare facilities are important to ensure WHO's PNC recommendations are met for women experiencing an unwanted pregnancy.

Factors associated with health facility delivery in the 12th District of Kandahar City, Kandahar, Afghanistan: A community-based cross-sectional study

Background:

Maternal mortality and morbidity are increasing public health concerns in Afghanistan. Even more worrying is maternal death due to causes that can be prevented through maternal healthcare services utilization during pregnancy and delivery.

Objectives:

We sought to investigate the magnitude of women giving birth in a health facility and its associated factors in the 12^th district of Kandahar city, Kandahar province, Afghanistan.

Materials and Methods:

A community-based cross-sectional study of women who gave birth in the last 2 years in the 12^th district of Kandahar city was conducted in early 2021. We used a systematic random sampling method to enroll 850 women. We collected data on sociodemographics, reproductive characteristics, and delivery practices of respondents. Factors associated with health facility delivery were identified using a multivariable logistic regression model.

Results:

The proportion of women who gave birth at health facilities was 71.8% (confidence interval [CI]; 68.61%–74.77%). In this study, health facility delivery was associated with husbands’ education (adjusted odds ratio [AOR] = 3.07, 95% CI: 1.50–6.31), antenatal care (ANC) services utilization (AOR = 17.84, 95% CI: 11.86–26.8), and history of complications in previous births (AOR = 3.65, 95% CI: 2.32–5.74).

Conclusion:

In this study, the utilization of a health facility for delivery was slightly lower than reported on the national level. Our study found potential factors such as ANC visits, husbands’ education, and history of complications in previous births, for which interventions aimed at enhancing the proportion of health facility deliveries.

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.

Rural-Urban Determinants of Receiving Skilled Birth Attendants among Women in Bangladesh: Evidence from National Survey 2017-18

BACKGROUND

SBAs (skilled birth attendants) play a crucial role in reducing maternal mortality. The proportion of maternal healthcare in Bangladesh that receives quality care at birth has increased; the reasons for this are unknown. The purpose of this study is to see if there has been a change in the use of specific maternal healthcare indicators in urban and rural areas, as well as significant risk factors.

MATERIALS AND METHODS

The data set was extracted from a nationally representative survey based on a cross-sectional study, the Bangladesh Health and Demographic Survey (BDHS) 2017-18. The frequency distribution reveals the general state of SBAs. To identify the association, we performed the chi-square test. Finally, multiple logistic regression was used to analyse the factors associated with SBAs and determine the degree of SBAs disparity between urban and rural areas.

RESULTS

In Bangladesh, 53% of women received SBAs during childbirth, with urban and rural areas receiving 68.1 and 52.2 percent, respectively. Women with secondary (AOR: 1.79, CI: 1.05-3.08) and higher (AOR: 4.18, CI: 2.09-8.50) education were more likely to receive SBAs than women in urban areas who were illiterate. Husband's education, women's working status, wealth index, children's birth order, and number of ANC visit are significant factors in receiving SBSs in both urban and rural areas. Higher educated husbands are 1.83 times (AOR = 1.83, CI: 1.04-3.25, p = 0.037) and 1.82 times (AOR = 1.82, CI: 1.29-2.59, p = 0.001) more likely to attend skilled births than uneducated husbands in both urban and rural areas. Respondents from the richest families are more likely to attend skilled births than those from the poorest families in both urban and rural areas.

CONCLUSION

During delivery, significant risk factors are substantially related to SBAs. More attention must be given to rural and illiterate populations, who are less likely to obtain these services, to minimize maternal and neonatal mortality. Special programs could be developed to raise awareness and facilitate the poor in receiving the basic necessities of maternal care.

Factors associated with health facility utilization during childbirth among 15 to 49-year-old women in Uganda: evidence from the Uganda demographic health survey 2016

BACKGROUND

Almost all maternal deaths and related morbidities occur in low-income countries. Childbirth supervised by a skilled provider in a health facility is a key intervention to prevent maternal and perinatal morbidity and mortality. Our study aimed to establish the factors associated with health facility utilization during childbirth in Uganda.

METHODS

We used the Uganda Demographic and Health Survey 2016 data of 10,152 women aged 15 to 49 years. The study focused on their most recent live birth in 5 years preceding the survey. We applied multistage stratified sampling to select study participants and we conducted multivariable logistic regression to establish the factors associated with health facility utilization during childbirth, using SPSS (version 25).

RESULTS

The proportion of women who gave birth at a health facility was 76.6% (7780/10,152: (95% confidence interval, CI, 75.8-77.5). The odds of women aged 15-19 years giving birth at health facilities were twice as those of women aged 40 to 49 years (adjusted odds ratio, AOR = 2.29; 95% CI: 1.71-3.07). Residing in urban areas and attending antenatal care (ANC) were associated with health facility use. The odds of women in the northern region of Uganda using health facilities were three times of those of women in the central region (AOR = 3.13; 95% CI: 2.15-4.56). Women with tertiary education (AOR = 4.96; 95% CI: 2.71-9.11) and those in the richest wealth quintile (AOR = 4.55; 95% CI: 3.27-6.32) had higher odds of using a health facility during child birth as compared to those with no education and those in the poorest wealth quintile, respectively. Muslims, Baganda, women exposed to mass media and having no problem with distance to health facility had higher odds of utilizing health facilities during childbirth as compared to Catholic, non Baganda, women not exposed to mass media and those having challenges with distance to access healthcare.

CONCLUSION

Health facility utilization during childbirth was high and it was associated with decreasing age, increasing level of education and wealth index, urban residence, Northern region of Uganda, ANC attendance, exposure to mass media, tribe, religion and distance to the nearby health facility. We recommend that interventions to promote health facility childbirths in Uganda target the poor, less educated, and older women especially those residing in rural areas with less exposure to mass media.

Utilisation of Skilled Birth Attendant in Low- and Middle-Income Countries: Trajectories and Key Sociodemographic Factors

Reducing the maternal mortality ratio (MMR) in low- and middle-income countries (LMICs) remains a huge challenge. Maternal mortality is mostly attributed to low coverage of maternal health services. This study investigated the trajectories and predictors of skilled birth attendant (SBA) service utilisation in LMIC over the past two decades. The data was sourced from standard demographic and health surveys which included four surveys on women with livebirth/s from selected countries from two regions with a pooled sample of 56,606 Indonesian and 63,924 Nigerian respondents. Generalised linear models with quasibinomial family of distributions were fitted to investigate the association between SBA utilisation and sociodemographic factors. Despite a significant improvement in the last two decades in both countries, the change was slower than hope for, and inconsistent. Women who received antenatal care were more likely to use an SBA service. SBA service utilisation was significantly more prevalent amongst literate women in Indonesia (AOR = 1.39, 95% CI: 1.24–1.54) and Nigeria (AOR = 1.41, 95% CI: 1.31–1.53) than their counterparts. The disparity based on geographic region and social factors remained significant over time. Given the significant disparities in SBA utilisation, there is a strong need to focus on community- and district-level interventions that aim at increasing SBA utilisation.

Determinants of utilization of antenatal and delivery care at the community level in rural Bangladesh

BACKGROUND

Timely utilization of antenatal care and delivery services supports the health of mothers and babies. Few studies exist on the utilization and determinants of timely ANC and use of different types of health facilities at the community level in Bangladesh. This study aims to assess the utilization, timeliness of, and socio-demographic determinants of antenatal and delivery care services in two sub-districts in Bangladesh.

METHODS

This cross-sectional study used data collected through a structured questionnaire in the eRegMat cluster-randomized controlled trial, which enrolled pregnant women between October 2018-June 2020. We undertook univariate and multivariate logistic regression analysis to determine the associations of socio-demographic variables with timely first ANC, four timely ANC visits, and facility delivery. We considered the associations in the multivariate logistic regression as statistically significant if the p-value was found to be <0.05. Results are presented as adjusted odds ratios (AOR) with 95% confidence intervals (CI).

RESULTS

Data were available on 3293 pregnant women. Attendance at a timely first antenatal care visit was 59%. Uptake of four timely antenatal care visits was 4.2%. About three-fourths of the women delivered in a health facility. Women from all socio-economic groups gradually shifted from using public health facilities to private hospitals as the pregnancy advanced. Timely first antenatal care visit was associated with: women over 30 years of age (AOR: 1.52, 95% CI: 1.05-2.19); nulliparity (AOR: 1.30, 95% CI: 1.04-1.62); husbands with >10 years of education (AOR: 1.40, 95% CI: 1.09-1.81) and being in the highest wealth quintile (AOR: 1.49, 95% CI: 1.18-1.89). Facility deliveries were associated with woman's age; parity; education; the husband's education, and wealth index. None of the available socio-demographic factors were associated with four timely antenatal care visits.

CONCLUSIONS

The study observed socio-demographic inequalities associated with increased utilization of timely first antenatal care visit and facility delivery. The pregnant women, irrespective of wealth shifted from public to private facilities for their antenatal care visits and delivery. To increase the health service utilization and promote good health, maternal health care programs should pay particular attention to young, multiparous women, of low socio-economic status, or with poorly educated husbands.

CLINICAL TRIAL REGISTRATION

ISRCTN69491836; https://www.isrctn.com/. Registered on December 06, 2018. Retrospectively registered.

Coverage and factors associated with mother and newborn skin-to-skin contact in Nigeria: a multilevel analysis

Background

Mother and newborn skin-to-skin contact (SSC) is an immediate postpartum intervention known to improve the health of newborn and mothers alike. Albeit, there is paucity of data that explored the coverage or factors associated with SSC in Nigeria. Therefore, we aimed to explore the coverage and hierarchical nature of the factors associated with SSC among women of reproductive age in Nigeria.

Methods

The 2018 Nigeria Demographic and Health Survey (NDHS) data was used for this study. Data on 29,992 women who had ever given birth were extracted for analysis. SSC was the outcome variable as determined by women’s report. A multivariable multilevel logistic regression model was used to estimate the fixed and random effects of the factors associated with SSC. Statistical significance was determined at p< 0.05.

Results

The coverage of SSC was approximately 12.0%. Educated women had higher odds of SSC, when compared with women with no formal education. Those who delivered through caesarean section (CS) had 88% reduction in SSC, when compared with women who had vaginal delivery (OR= 0.12; 95%CI: 0.07, 0.22). Women who delivered at health facility were 15.58 times as likely to practice SSC, when compared with those who delivered at home (OR= 15.58; 95%CI: 10.64, 22.82). Adequate ANC visits and low birth weight significantly increased the odds of SSC. Women from richest household were 1.70 times as likely to practice SSC, when compared with women from poorest household (OR= 1.70; 95%CI: 1.04, 2.79). There was 65% reduction in SSC among women with high rate of community non-use of media, when compared with women from low rate of community non-use of media (OR= 0.35; 95%CI: 0.20, 0.61).

Conclusion

SSC coverage was low in Nigeria. Moreover, individual, household and community level factors were associated with SSC. More enlightenment should be created among women to bring to limelight the importance of SSC specifically to newborn’s health.

Urban-rural disparities in institutional delivery among women in East Africa: A decomposition analysis

BACKGROUND

Though institutional delivery plays a significant role in maternal and child health, there is substantial evidence that the majority of rural women have lower health facility delivery than urban women. So, identifying the drivers of these disparities will help policy-makers and programmers with the reduction of maternal and child death.

METHODS

The study used the data on a nationwide representative sample from the most recent rounds of the Demographic and Health Survey (DHS) of four East African countries. A Blinder-Oaxaca decomposition analysis and its extensions was conducted to see the urban-rural differences in institutional delivery into two components: one that is explained by residence difference in the level of the determinants (covariate effects), and the other components was explained by differences in the effect of the covariates on the outcome (coefficient effects).

RESULTS

The findings showed that institutional delivery rates were 21.00% in Ethiopia, 62.61% in Kenya, 65.29% in Tanzania and 74.64% in Uganda. The urban-rural difference in institutional delivery was higher in the case of Ethiopia (61%), Kenya (32%) and Tanzania (30.3%), while the gap was relatively lower in the case of Uganda (19.2%). Findings of the Blinder-Oaxaca decomposition and its extension showed that the covariate effect was dominant in all study countries. The results were robust to the different decomposition weighting schemes. The frequency of antenatal care, wealth and parity inequality between urban and rural households explains most of the institutional delivery gap.

CONCLUSIONS

The urban-rural institutional delivery disparities were high in study countries. By identifying the underlying factors behind the urban-rural institutional birth disparities, the findings of this study help in designing effective intervention measures targeted at reducing residential inequalities and improving population health outcomes. Future interventions to encourage institutional deliveries to rural women of these countries should therefore emphasize increasing rural women's income, access to health care facilities to increase the frequency of antenatal care utilization.

Individual and community level factors associated with unintended pregnancy among pregnant women in Ethiopia

Unintended pregnancy is among the major challenges of public health and a major reproductive health issue, due to its implications on the health, economic and social life of a woman and her family mainly in low and middle-income countries, particularly sub-Saharan Africa. The study aimed to assess unintended pregnancy and associated factors among pregnant women in Ethiopia using multilevel analysis from the EDHS 2016. We used the data from the 2016 Ethiopian Demographic and Health Survey, comprised of 1122 pregnant women. The prevalence of unintended pregnancy was determined through descriptive statistics and multilevel logistic regression was performed to identify factors associated with unintended pregnancy. Variables with a p-value < 0.05 in the selected model were considered as significantly associated and an adjusted odds ratio was used to determine the strength and direction of the association. The prevalence of unintended pregnancy was 29.7% (CI 27.0%, 32.4%), of which 20.4% were mistimed and 9.3% unwanted. Being multi-para and fertility preference to have no more child were associated with a higher risk of unintended pregnancy whereas husbands' polygamy relation, having no women autonomy, and living in Afar and Somali regions showed a less likely risk of experiencing an unintended pregnancy. This study showed that the proportion of women who experienced unintended pregnancy is considerably high. Parity, fertility preference, polygamy relation, women autonomy, and region were identified factors associated with unintended pregnancy. Therefore, policymakers at all levels, reproductive health experts, and concerned organizations should emphasize minimizing unintended pregnancy targeting the regional variation at large. Researchers have to explore the regional variations through a qualitative study.

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

Background:

One out of two neonatal deaths and 2 out of 5 maternal deaths occur at home in Nepal. An essential intervention in reducing maternal mortality and neonatal death is institutional delivery. The objective of this study was to find out the external environmental, predisposing, and enabling factors associated with the use of institutional delivery care in Nepal.

Methods:

Data from Nepal Demographic and Health Surveys (NDHS) 2016 was used to estimate socio-economic, provincial, and use of media differentials with institutional delivery under the Andersen behavioral model framework using multilevel regression analysis.

Results:

More than half of the women (60.9%) among 3899 women with last birth had their babies delivered in a health facility. In the multilevel logistic regression analysis, we found that women from province 2 (OR = 0.47 95%CI: 0.28-0.79) were significantly less likely to deliver in health institutions, and province 7 (OR = 1.76, 95%CI: 1.05-2.94) were significantly more likely deliver in a health institution. Age (OR = 0.94, 95%CI: 0.92-0.95) was also significantly associated with the place of delivery. Women with higher education (OR = 3.17, 95%CI: 2.09-4.81) were most likely to go for institutional delivery. The odds of women opting for institutional delivery were 3 folds more for those who had visited Antenatal Care (ANC) 4 or more times compared to those who did not.

Conclusion:

The results highlight the need for governments and health care providers to emphasize the promotion of institutional delivery and ANC visits as per protocol with a special focus on underprivileged communities. The use of multi-media is a vital strategy to promote the use of institutional delivery services.

Assessing the contextual effect of community in the utilization of postnatal care services in Ghana

BACKGROUND

Inequalities in the use of postnatal care services (PNC) in Ghana have been linked to poor maternal and neonatal health outcomes. This has ignited a genuine concern that PNC interventions with a focus on influencing solely individual-level risk factors do not achieve the desired results. This study aimed to examine the community-level effect on the utilization of postnatal care services. Specifically, the research explored clusters of non-utilization of PNC services as well as the effect of community-level factors on the utilization of PNC services, with the aim of informing equity-oriented policies and initiatives.

METHODS

The 2014 Ghana Demographic and Health Survey GDHS dataset was used in this study. Two statistical methods were used to analyze the data; spatial scan statistics were used to identify hotspots of non-use of PNC services and second two-level mixed logistic regression modeling was used to determine community-level factors associated with PNC services usage.

RESULTS

This study found non-use of PNC services to be especially concentrated among communities in the Northern region of Ghana. Also, the analyses revealed that community poverty level, as well as community secondary or higher education level, were significantly associated with the utilization of PNC services, independent of individual-level factors. In fact, this study identified that a woman dwelling in a community with a higher concentration of poor women is less likely to utilize of PNC services than those living in communities with a lower concentration of poor women (Adjusted odds ratio (AOR) = 0.60, 95%CI: 0.44-0.81). Finally, 24.0% of the heterogeneity in PNC services utilization was attributable to unobserved community variability.

CONCLUSION

The findings of this study indicate that community-level factors have an influence on women's health-seeking behavior. Community-level factors should be taken into consideration for planning and resource allocation purposes to reduce maternal health inequities. Also, high-risk communities of non-use of obstetric services were identified in this study which highlights the need to formulate community-specific strategies that can substantially shift post-natal use in a direction leading to universal coverage.

Determinants of postnatal checkup for newborns in Ethiopia: Further analysis of 2016 Ethiopia demographic and health survey

BACKGROUND

The absence of suitable care during the postpartum period might result in substantial ill-health and even the demise of newborns. So, identifying and intervening thus factors increase postnatal newborn care utilization thereby reducing neonatal mortality. Therefore, this study aimed to ascertain the determinants of the postnatal checkup of a newborn in Ethiopia.

METHOD

A cross-sectional study was accompanied using the 2016 Ethiopia Demographic and Health Survey (EDHS) data set. The samples were designated by employing a two-stage stratified cluster sampling technique. All statistical analysis were weighted in order to take into consideration complex survey design. Bivariate and multivariate logistic regression analysis was also carried out to examine the association between use of postnatal care of newborn and selected independent variables. Adjusted odds ratios (AOR) were used to state a statistically significant suggestion.

RESULT

A total of 7091 samples of the reproductive age of newborn mothers were included and analyzed. According to multivariate analysis, the odds of postnatal checkups of the newborn were 2.45 times higher among mothers who had 1-3 ANC visits and 3.42 times higher among mothers who had four and above visits than mother who did not have ANC visit. The odds of postnatal checkups of the newborn were 1.4 times higher among mothers who had access to media compared to their counterparts. Likewise, the odds of postnatal checkups of the newborn were 1.67 times higher among mothers who had delivered in a health facility than who delivered at home.

CONCLUSIONS

This study revealed that accessed media, being rich or middle in the wealth index category, having ANC visits, and institutional delivery was positively associated with the utilization of postnatal care checkup of the newborn. Therefore, information education and communication programs should perform a critical role in inspiring mother to take their newborns for postnatal checkup after birth.

A multilevel analysis of the determinants of handwashing behavior among households in Eswatini: a secondary analysis of the 2014 multiple indicator cluster survey

Introduction

Handwashing with soap has received considerable attention due to its importance in the prevention and interruption of the transmission of diseases. Regardless of the positive effects of handwashing with soap, developing countries still have a low rate of handwashing.

Objective

The study aimed to determine the individual, household and community-level factors associated with handwashing behavior among households in Eswatini

Methods

Using the Eswatini Multiple Indicator Cluster Survey conducted in 2014, a secondary analysis was done of the households surveyed. A total of 1,520 households nested in communities with complete data on handwashing practices were included in the analysis. Univariate, bivariate analysis and multivariate multilevel logistic regression were used to establish the factors that were associated with handwashing behavior.

Results

The prevalence of handwashing among households was 56% in 2014. Households whose heads were aged 35–54 and 55 years and older were more likely to practice handwashing (AOR=1.88, 95% CI:1.39, 2.54); and (AOR=1.77, 95% CI: 1.205, 2.62) compared to those aged 15–34 years. Households with a pit latrine or no toilet facility at all, were less likely to practice handwashing (AOR=0.24, 95% CI: 0.17, 0.35); (AOR=0.28, 95% CI: 0.11, 0.71) respectively compared to those with a flush toilet. Region of residence was a community-level variable associated with lower odds of handwashing, with those from the Hhohho (AOR=0.22, 95% CI: 0.14, 0.35) and Manzini region (AOR=0.42, 95% CI: 0.27, 0.67) compared to Lubombo region. Households from communities where access to mass media was high were more likely to practice handwashing (AOR =1.47, 95% CI: 1.05, 2.03) compared to those from communities where access to mass media was low

Conclusion

Households headed by young adults, with pit latrine or no toilet facility at all and lived in the Hhohho and Manzini regions and with low access to mass media, should be targeted for interventions aimed at improving handwashing practices.

Individual and community-level determinants, and spatial distribution of institutional delivery in Ethiopia, 2016: Spatial and multilevel analysis

Background

Institutional delivery is an important indicator in monitoring the progress towards Sustainable Development Goal 3.1 to reduce the global maternal mortality ratio to less than 70 per 100,000 live births. Despite the international focus on reducing maternal mortality, progress has been low, particularly in Sub-Saharan Africa (SSA), with more than 295,000 mothers still dying during pregnancy and childbirth every year. Institutional delivery has been varied across and within the country. Therefore, this study aimed to investigate the individual and community level determinants, and spatial distribution of institutional delivery in Ethiopia.

Methods

A secondary data analysis was done based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total weighted sample of 11,022 women was included in this study. For spatial analysis, ArcGIS version 10.6 statistical software was used to explore the spatial distribution of institutional delivery, and SaTScan version 9.6 software was used to identify significant hotspot areas of institutional delivery. For the determinants, a multilevel binary logistic regression analysis was fitted to take to account the hierarchical nature of EDHS data. The Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), Proportional Change in Variance (PCV), and deviance (-2LL) were used for model comparison and for checking model fitness. Variables with p-values<0.2 in the bi-variable analysis were fitted in the multivariable multilevel model. Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) were used to declare significant determinant of institutional delivery.

Results

The spatial analysis showed that the spatial distribution of institutional delivery was significantly varied across the country [global Moran’s I = 0.04 (p<0.05)]. The SaTScan analysis identified significant hotspot areas of poor institutional delivery in Harari, south Oromia and most parts of Somali regions. In the multivariable multilevel analysis; having 2–4 births (AOR = 0.48; 95% CI: 0.34–0.68) and >4 births (AOR = 0.48; 95% CI: 0.32–0.74), preceding birth interval ≥ 48 months (AOR = 1.51; 95% CI: 1.03–2.20), being poorer (AOR = 1.59; 95% CI: 1.10–2.30) and richest wealth status (AOR = 2.44; 95% CI: 1.54–3.87), having primary education (AOR = 1.47; 95% CI: 1.16–1.87), secondary and higher education (AOR = 3.44; 95% CI: 2.19–5.42), having 1–3 ANC visits (AOR = 3.88; 95% CI: 2.77–5.43) and >4 ANC visits (AOR = 6.53; 95% CI: 4.69–9.10) were significant individual-level determinants of institutional delivery while being living in Addis Ababa city (AOR = 3.13; 95% CI: 1.77–5.55), higher community media exposure (AOR = 2.01; 95% CI: 1.44–2.79) and being living in urban area (AOR = 4.70; 95% CI: 2.70–8.01) were significant community-level determinants of institutional delivery.

Conclusions

Institutional delivery was low in Ethiopia. The spatial distribution of institutional delivery was significantly varied across the country. Residence, region, maternal education, wealth status, ANC visit, preceding birth interval, and community media exposure were found to be significant determinants of institutional delivery. Therefore, public health interventions should be designed in the hotspot areas where institutional delivery was low to reduce maternal and newborn mortality by enhancing maternal education, ANC visit, and community media exposure.

Non-utilization of health facility delivery and its correlates among childbearing women: a cross-sectional analysis of the 2018 Guinea demographic and health survey data

Background

Many childbearing women in sub-Saharan African countries like Guinea still face challenges accessing and utilizing health facility delivery services and opt to deliver at home. This study examined the non-utilization of health facility delivery and its associated factors among childbearing women in Guinea.

Methods

Data from the 2018 Guinea Demographic and Health Survey was used in this study. Data of 5406 childbearing women were analysed using STATA version 14.2 by employing a multilevel logistic regression approach. The results were presented using adjusted odds ratios (aOR) at 95% confidence interval (CI).

Results

More than three-quarters (47.6%) of childbearing women in Guinea did not deliver at health facilities. Women who had no formal education (aOR = 1.52, 95% CI = 1.09–2.12), those whose partners had no formal education (aOR = 1.25, 95% CI =1.01–1.56), those whose pregnancies were unintended (aOR = 1.40, 95% CI =1.13–1.74) and those who were Muslims (aOR = 2.87, 95% CI =1.17–7.08) were more likely to deliver at home. Furthermore, women with parity four or more (aOR = 1.78, 95% CI =1.34–2.37), those who listened to radio less than once a week (aOR = 5.05, 95% CI =1.83–13.89), those who never watched television (aOR = 1.46, 95% CI =1.12–1.91), those with poorest wealth quintile (aOR = 4.29, 95% CI =2.79–6.60), women in female-headed households (aOR = 1.38, 95% CI =1.08–1.78) and rural dwellers (aOR = 3.86, 95% CI =2.66–5.60) were more likely to deliver at home.

Conclusion

This study has identified low socio-economic status, inadequate exposure to media, having an unplanned pregnancy and religious disparities as key predictors of home delivery among childbearing women in Guinea. The findings call for the need to enhance advocacy and educational strategies like focus group discussions, peer teaching, mentor-mentee programmes at both national and community levels for women to encourage health facility delivery. There is also the need to improve maternal healthcare services utilization policies to promote access to health facility delivery by reducing costs and making health facilities available in communities.

Individual and contextual factors associated with mistimed and unwanted pregnancies among adolescent girls and young women in selected high fertility countries in sub-Saharan Africa: A multilevel mixed effects analysis

Introduction

Unintended pregnancies are associated with a number of risk factors such as malnutrition, mental illness, unsafe abortion, maternal mortality and horizontal transmission of HIV to children. These risks are predominant among adolescent girls and young women compared to older women. This study examined the individual and contextual factors associated with unintended pregnancy among adolescent girls and young women in selected high fertility countries in sub-Saharan Africa.

Materials and methods

Data for this study was obtained from recent Demographic and Health Surveys carried out between 2010 and 2018 in 10 countries in sub-Sahara Africa. The sample size for this study was made up of 6,791 adolescent girls and young women (aged 15–24), who were pregnant during the surveys and had complete responses on all the variables considered in the study. Unintended pregnancy was the outcome variable in this study. Descriptive and multilevel logistic regression analyses were performed and the fixed effect results of the multilevel logistic regression analysis were reported as adjusted odds ratios at 95% confidence interval.

Results

Unintended pregnancy in the selected countries was 22.4%, with Angola, recording the highest prevalence of 46.6% while Gambia had the lowest prevalence of 10.2%. The likelihood of unintended pregnancy was high among adolescent girls and young women aged 15–19 [aOR = 1.48; 95% CI = 1.26–1.73], those with primary [aOR = 1.99; 95% CI = 1.69–2.33] and secondary/higher [aOR = 2.30; 95% CI = 1.90–2.78] levels of education, single (never married/separated/divorced/widowed) adolescent girls and young women [aOR = 9.23; 95% CI = 7.55–11.28] and those who were cohabiting [aOR = 2.53; 95% CI = 2.16–2.96]. The odds of unintended pregnancy also increased with increasing birth order, with adolescent girls and young women having three or more births more likely to have unintended pregnancies compared to those with one birth [aOR = 1.99; 95% CI = 1.59–2.48]. Adolescent girls and young women who had ever used contraceptives (modern or traditional), had higher odds of unintended pregnancies compared to those who had never used contraceptives [aOR = 1.32; 95% CI = 1.12–1.54]. Finally, adolescent girls and young women who belonged to the rich wealth quintile were more likely to have unintended pregnancy compared to those in the poor wealth quintile [1.28; 95% CI = 1.08–1.51].

Conclusion

The study found that age, marital status, level of education, parity, use of contraceptives and wealth quintile are associated with unintended pregnancy among adolescent girls and young women in high fertility sub-Saharan African countries. These findings call for the need for government and non-governmental organisations in high fertility sub-Saharan African countries to restructure sexual and reproductive health services, taking into consideration these individual and contextual level characteristics of adolescent girls and young women.

Individual-, household-, and community-level factors associated with eight or more antenatal care contacts in Nigeria: Evidence from Demographic and Health Survey

INTRODUCTION

Antenatal care (ANC) is a vital mechanism for women to obtain close attention during pregnancy and prevent death-related issues. Moreover, it improves the involvement of women in the continuum of health care and to survive high-risk pregnancies. This study was conducted to determine the prevalence of and identify the associated factors of eight or more ANC contacts in Nigeria.

METHODS

We used a nationally representative cross-sectional data from Nigeria Demographic and Health Survey-2018. A total sample of 7,936 women were included in this study. Prevalence was measured in percentages and the factors for eight or more ANC contacts were examined using multilevel multivariable binary logistic regression model. The level of significance was set at P<0.05.

RESULTS

The prevalence of eight or more ANC contacts in Nigeria was approximately 17.4% (95% CI: 16.1%-18.7%). Women with at least secondary education were 2.46 times as likely to have eight or more ANC contacts, when compared with women with no formal education. Women who use media were 2.37 times as likely to have eight or more ANC contacts, when compared with women who do not use media. For every unit increase in the time (month) of ANC initiation, there was 53% reduction in the odds of eight or more ANC contacts. Rural women had 60% reduction in the odds of eight or more ANC contacts, when compared with their urban counterparts. Women from North East and North West had 74% and 79% reduction respectively in the odds of eight or more ANC contacts, whereas women from South East, South South and South West were 2.68, 5.00 and 14.22 times respectively as likely to have eight or more ANC contacts when compared with women from North Central.

CONCLUSION

The coverage of eight or more ANC contacts was low and can be influenced by individual-, household-, and community-level factors. There should be concerted efforts to improve maternal socioeconomic status, as well as create awareness among key population for optimal utilization of ANC.

Does unintended pregnancy have an impact on skilled delivery care use in Bangladesh? A nationally representative cross-sectional study using Demography and Health Survey data

Skilled delivery care has been targeted in the Sustainable Development Goals to reduce preventable maternal and newborn deaths, which mostly occur because of birthing complications. Birthing complications are more frequent in women with unintended than intended pregnancies, and around 43% of total pregnancies in low- and middle-income countries are unintended. This study quantified the impact of unintended pregnancy on skilled birth attendance and delivery in health care facilities in Bangladesh. Data from 4493 women participating in the cross-sectional 2014 Bangladesh Demographic and Health Survey were analysed. Multilevel logistic regression models were used to assess the association of unintended pregnancy with skilled birth attendance and delivery in a health care facility through skilled providers while adjusting for individual-, household- and community-level factors identified using a directed acyclic graph. Around 26% of women reported that their last pregnancy (occurring within the previous 3 years) that ended with a live birth was unintended at conception. Only 42% reported having a skilled birth attendant present at their last birth and 38% gave birth in a health care facility. Significant differences were found across pregnancy intention. Lower odds of skilled birth attendance (OR, 0.70, 95% CI, 0.52-0.93) and delivery in a health care facility through skilled providers (OR, 0.65, 95% CI, 0.48-0.89) were found among women who had an unwanted pregnancy relative to women who had a wanted pregnancy. However, a mistimed pregnancy was not found to be associated with skilled birth attendance or delivery in health care facility through skilled providers. Increased availability of health care facilities at the community level is required in Bangladesh to ensure skilled delivery care for women with an unwanted pregnancy. Policies are also required to integrate women with an unwanted pregnancy into mainstream health care services through earlier detection and increased awareness in order to reduce the adverse maternal and fetal outcomes associated with lack of quality birthing care.

Seroprevalence and Determinants of Human Immunodeficiency Virus Infection Among Women of Reproductive Age in Mozambique: A Multilevel Analysis

Background

Human immunodeficiency virus (HIV) has continued to be one of the foremost public health problems globally. Even as more people living with the disease can now have access to antiretroviral therapy (ART), there are still some regions in the world with high transmission rates. The objective of this study was to examine the prevalence and individual-, household- and community-level factors associated with HIV infection among women of reproductive age in Mozambique.

Methods

We used nationally representative cross-sectional data from the 2015 Survey of Indicators on Immunization, Malaria and HIV or Acquired Immunodeficiency Syndrome (AIDS) in Mozambique. A sample of 4726 women of reproductive age was included in this study. Prevalence was measured in percentage and the factors for HIV infection were examined using a multivariable multilevel logistic regression model. The level of significance was set at P < 0.05.

Results

The seroprevalence of HIV among women in Mozambique was 10.3% (95% CI 9.2%, 11.6%). Furthermore, women who had two, three and four or more total lifetime number of sex partners were 2.73, 5.61 and 3.95 times as likely to have HIV infection when compared with women with only one lifetime sex partners, respectively. In addition, women of Islam religion had 60% reduction in HIV infection when compared with Christian women (adjusted odds ratio, AOR = 0.40; 95% CI 0.16, 0.99). The individual-level model (model B) had the best model fitness with the lowest Akaike information criterion (AIC) = 500.87 and Bayesian information criterion (BIC) = 648.88. The variations in the odds of HIV infection across communities (σ² = 9.61 × 10^–8; SE = 0.55) and households (σ² = 1.02 × 10^–4; SE = 1.02) were estimated. Results from the median odds ratio (MOR = 1.00) did not show any evidence of community and household contextual factors shaping HIV infection. MOR equal to unity (1) indicated that there were no community or household variances given the ICC of 0.0%. At both community and household levels, the explained variances were each 100%. This implied total variances in HIV infection has been explained by the individual-level factors.

Conclusion

In this study, we found that having multiple total lifetime number of sexual partners and religion were predisposing factors for HIV infection at individual woman level. Female headship and wealth quintiles were associated with HIV infection at household level. Community illiteracy, intimate partner violence, poverty and geographical region were associated with HIV infection at community level. Therefore, multifaceted health intervention by stakeholders in the healthcare system will be useful in addressing the multilevel predisposing factors of HIV infection among Mozambican women.

Trends and determinants of home delivery in Ethiopia: further multivariate decomposition analysis of 2005-2016 Ethiopian Demographic Health Surveys

OBJECTIVE

This study aimed to assess the trends and factors that had contributed to the change in home delivery in Ethiopia over the last decade.

DESIGN, SETTING AND ANALYSIS

A nationally representative repeated cross-sectional survey was conducted using 2005, 2011 and 2016 Ethiopian Demographic and Health Surveys. Multivariate decomposition logistic regression analysis was employed to identify significant factors that have been contributed to the change in home delivery. Level of statistical significance was declared at a two-sided p value <0.05.

OUTCOME MEASURE

Trends of home delivery.

PARTICIPANTS

A total of 33 482 women were included.

RESULTS

Home delivery has been decreased by 21% over the last decade in Ethiopia. In the last decade, 39% of the decrements in home delivery attributed to change in women's compositional characteristics. Antenatal care visits, educational status of the women and husband, birth order, religion, wealth index and distance from a health facility were the main sources of compositional change factors for the change of home delivery. Behavioural changes towards health facility delivery contributed approximately two-thirds of the decline of home delivery in Ethiopia. Antenatal care visits, birth order and religion have significantly contributed to the change of home delivery resulted from behavioural changes towards healthcare facility utilisation over the last decade.

CONCLUSION

Despite the importance of health facility delivery, a significant number of women still deliver at home in Ethiopia. Women's compositional characteristics and behaviour changes were significantly associated with the change in home delivery. Multisectoral educational intervention is needed to change women's attitudes towards home delivery. Antenatal care coverage and healthcare facility coverage should increase thereby to improve healthcare facility based-delivery practice. Further research needs to be done to explore the potential barriers of health facility delivery from a religious perspective.

Does knowledge of pregnancy complications influence health facility delivery? Analysis of 2014 Bangladesh Demographic and Health Survey

Introduction

Only thirty-seven percent (37%) of deliveries occur in health facilities in Bangladesh despite the enormous benefits of health facility delivery. We investigated women’s recall of receiving counseling on pregnancy complications and how it affects health facility delivery in Bangladesh.

Materials and methods

Data from the 2014 Bangladesh Demographic and Health Survey was used for the study. After calculating the proportion of women who were informed about pregnancy complications during their last Antenatal Care (ANC) and the number of them who delivered in health facilities, Binary Logistic Regression was utilized in investigating chances of giving birth in health facilities among women who recalled they were told about pregnancy complications and those who were not told. The models were considered significant at 95%.

Results

A little above half of the women who were told about pregnancy complications during ANC delivered in health facilities (53.3%) and 43.6% of those who were not told delivered in health facilities. The findings revealed that women who were told about pregnancy complications during ANC were more likely to deliver at the health facility compared to those who were not told [COR = 1.56, CI = 1.31–1.87], and this persisted after controlling for the effect of covariates [AOR = 1.44, CI = 1.21–1.71].

Conclusion

This study has stressed the importance of telling women about pregnancy complications during ANC by revealing that telling women about pregnancy complications during ANC is likely to result in health facility delivery. Health workers should intensify health education on pregnancy complications during ANC and motivate women to deliver in health facilities.