Do socio-demographic factors still predict the choice of place of delivery: A cross-sectional study in rural North India

Multiple Vulnerabilities in Access to and Utilising of Maternal and Child Health Services in India: A Spatial–Regional Analysis

Introduction

Although there are multiple vulnerabilities in the utilisation of maternal and child health (MCH) services in India, research has always been focused on single-dimension vulnerabilities like economic or social vulnerabilities. Individuals who are poor may also face other types of vulnerabilities that together affect access to health services. This article, therefore, investigates the linkages between multiple vulnerabilities and the utilisation of MCH care services.

Materials and Methods

Data from National Family Health Survey (2015–2016) for India and states were used for analysing the key outcome variables namely women received four or more antenatal care (ANC), institutional delivery, postnatal care (PNC) and full immunisation for children in the age group of 12–23 months. Bivariate analysis and binomial-logistic regression analysis were employed to examine the multiple vulnerabilities on utilising MCH services across three dimensions of vulnerabilities, such as education, wealth and caste.

Results

Women with multiple vulnerabilities were less likely to utilise essential MCH services. Women who faced vulnerabilities in all three dimensions were less likely to have received four or more ANC and postnatal care than those who were not deprived of any vulnerabilities (0.3 vs. 0.9 and 0.4 vs. 0.8, respectively). They were also less likely to deliver in health facilities and avail child immunisation (0.5 vs. 0.8 and 0.3 vs. 0.7, respectively).

Conclusion

A multi-sectoral approach is therefore required to deal with the issues of low access and underutilisation of MCH services.

Factors associated with reporting good maternal health-related knowledge among rural mothers of Yemen

Increasing women's knowledge about maternal health is an important step towards empowering them and making them aware of their rights and health status, allowing them to seek appropriate health care. In Yemen, the ongoing conflict has hampered the delivery of health information to women in public health facilities. This study examined rural women's knowledge of, and attitude towards, maternal and child health in Yemen and identified the factors associated with good maternal health knowledge. The study was conducted between August and November 2018. A sample of 400 women aged 15-49 years who had delivered in the 6 months prior to the survey were systematically selected from selected public health facilities in Abyan and Lahj. Women were interviewed using a structured questionnaire to gather data on their demographic and economic characteristics, obstetric history and responses to health knowledge and attitude questions. Women's knowledge level was assessed as poor or good using the mean score as a cut-off. Chi-squared test and multiple logistic regression analysis were used to identify statistically significant factors associated with good maternal health knowledge. The percentage of women who had good knowledge was 44.8% (95% CI: 39.8-49.8). Women's attitude towards maternal health was negative in the areas of early ANC attendance, managing dietary regime and weight during pregnancy, facility delivery, PNC visits, cord care and mother and child health management. Women with primary education, whose husbands had received no formal education, who had their first ANC visit from the second trimester of pregnancy and who had fewer than four ANC visits were more likely to have poor health knowledge. Conversely, those with higher household income and only one child were more likely to have good maternal health knowledge. Overall, women's knowledge on maternal and child health care in rural areas of Yemen was low. Strategies are needed to increase rural women's knowledge on maternal and child health in this conflict-affected setting.

Postabortion Family Planning and Associated Factors Among Women Attending Abortion Service in Dire Dawa Town Health Facilities, Eastern Ethiopia

Background

Postabortion family planning is a part of comprehensive package of postabortion care. However, it did not receive due attention to break the cycle of repeated abortion, unintended pregnancies, and abortion-related maternal morbidity and mortality. Therefore, this study aimed to determine the utilization of postabortion family planning and associated factors among women attending abortion service in Dire Dawa health facilities, Eastern Ethiopia.

Methods

A facility-based cross-sectional study design was employed among 483 clients who sought abortion service in Dire Dawa from 15 May to 30 June 2020. A structured interviewer-administered questionnaire was used for data collection. The collected data were entered into EpiData version 3.2 and exported to SPSS version 22 for analysis. The multivariate logistic regression models were fitted to identify factors associated with utilization of postabortion family planning. Adjusted odds ratios (AORs) along with 95% CI were estimated to measure the strength of the association and statistical association was declared statistical at a p-value < 0.05.

Results

More than three-fourths (77.8%) [95% CI: (73.4-81.6%)] of respondents were utilized postabortion family planning methods. Respondents with age 15-24 years [AOR: 5.59, (95% CI: (1.5, 19.7)], attended postsecondary [AOR: 7.6, (95% CI: (2.7, 21.2)], single marital status [AOR: 11.1, (95% CI: (4.6, 26.5)], a monthly income 500-1,000 birr [AOR: 7.9, (95% CI: (3.2, 19.4)], parity ≥ 5 [AOR: 0.41, (95% CI: (0.18, 0.92)], desire of current pregnancy [AOR: 4.2, (95% CI: (1.9, 9.3)], and ever used family planning [AOR: 4.4, (95% CI: (2.2, 8.9)] were major factors significantly associated with postabortion family planning utilization.

Conclusion

In this study, more than three-fourths of respondents utilize postabortion family planning. Most of the factors associated with postabortion family planning were modifiable. Therefore, policymakers and health planners need to integrate with comprehensive abortion care to improve the utilization of postabortion family planning.

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.

Why women choose to deliver at home in India: a study of prevalence, factors, and socio-economic inequality

BACKGROUND

To promote institutional delivery, the Government of India, through the Janani Suraksha Yojana (JSY) program, gives monetary reward to all pregnant women who give birth at the government or private health center. Despite providing cash assistance, a higher number of women are still preferring delivering at home. Therefore, this study sought to determine the prevalence of home births and identifying the factors influencing women's choice of home deliveries.

METHODS

Data from the National Family Health Survey (NFHS) conducted during 2005-06 and 2015-16 were used in the study. The respondents were women 15-49 years; a sample of 36,850 and 190,898 women in 2005-06 and 2015-16 respectively were included in the study. Multivariate logistic regression was used to determine the factors influencing home delivery. Income-related inequality in home delivery was quantified by the concentration index (CI) and the concentration curve (CC), and decomposition analysis was used to examine the inequality in the prevalence of home deliveries.

RESULTS

The prevalence of home deliveries has reduced from 58.5% in 2005-06 to 18.9% in 2015-16. The odds of delivering babies at home were lower among women who had full ANC in 2005-06 [AOR: 0.34; CI: 0.28-0.41] and in 2015-16 [AOR: 0.41; CI: 0.38-0.45] and were higher among women with four or higher parity in 2005-06 [AOR: 1.70; CI: 1.49-1.92] and in 2015-19 [AOR: 2.16; CI: 2.03-2.30]. Furthermore, the odds of delivering babies at home were higher among rural women and were lower among women with higher education. It was found that the value of CI increased from - 0.25 to - 0.39 from 2005-06 to 2015-16; this depicts that women delivering babies at home got more concentrated among women from lower socio-economic status.

CONCLUSION

There is a need to promote institutional deliveries, particular focus to be given to poor women, women with higher parity, uneducated women, and rural women. ANC is the most concurring contact point for mothers to get relevant information about the risks and complications they may encounter during delivery. Therefore, effort should be directed to provide full ANC. Targeted interventions are called for to bring improvements in rural areas.

Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health

INTRODUCTION

Meeting ambitious global health goals with limited resources requires a precision public health (PxPH) approach. Here we describe how integrating data collection optimisation, traditional analytics and causal artificial intelligence/machine learning (ML) can be used in a use case for increasing hospital deliveries of newborns in Uttar Pradesh, India.

METHODS

Using a systematic behavioural framework we designed a large-scale survey on perceptual, interpersonal and structural drivers of women's behaviour around childbirth (n=5613). Multivariate logistic regression identified factors associated with institutional delivery (ID). Causal ML determined the cause-and-effect ordering of these factors. Variance decomposition was used to parse sources of variation in delivery location, and a supervised learning algorithm was used to distinguish population subgroups.

RESULTS

Among the factors found associated with ID, the causal model showed that having a delivery plan (OR=6.1, 95% CI 6.0 to 6.3), believing the hospital is safer than home (OR=5.4, 95% CI 5.1 to 5.6) and awareness of financial incentives were direct causes of ID (OR=3.4, 95% CI 3.3 to 3.5). Distance to the hospital, borrowing delivery money and the primary decision-maker were not causal. Individual-level factors contributed 69% of variance in delivery location. The segmentation analysis showed four distinct subgroups differentiated by ID risk perception, parity and planning.

CONCLUSION

These findings generate a holistic picture of the drivers and barriers to ID in Uttar Pradesh and suggest distinct intervention points for different women. This demonstrates data optimised to identify key behavioural drivers, coupled with traditional and ML analytics, can help design a PxPH approach that maximise the impact of limited resources.

Do the determinants of institutional delivery among childbearing women differ by health insurance enrolment? Findings from a population-based study in Nigeria

Studies in Nigeria have identified several individual and contextual determinants of institutional delivery among childbearing women. However, it is not clear in literature whether these determinants are peculiar to women who enrolled or do not enrolled in health insurance schemes. This study compares the determinants of institutional delivery among childbearing women who either enrolled or do not enrolled in health insurance schemes in Nigeria. The study was based on women's data from the 2018 Nigeria Demographic and Health Survey. A weighted sample size of 17,465 women was analysed. Stata 14 was used to perform data analysis. Three binary logistic regression models were estimated. Results show higher prevalence of institutional delivery among women who enrolled in health insurance (39.3% vs. 70.5%). Result further reveal differences in the determinants of institutional delivery among the women with sex of head of household (adjusted odds ratio [AOR] = 1.340, p < 0.05; 95% CI: 1.121-1.602), type of marriage (AOR = 0.817, p < 0.05; 95% CI: 0.727-0.918) and status of most recent delivery (AOR = 0.703, p < 0.001; 95% 95% CI: 0.631-0.781) showing significance among women not enrolled in health insurance but insignificant among women enrolled in health insurance. Differences in determinants of institutional delivery among the women may be attributed to differences in their socio-demographic condition.

Maternal Delivery at Home: Issues in India

INTRODUCTION

Maternal delivery at home without skilled care at birth is a major public health issue. The current study aimed to assess the various contributing and eliminating factors of maternal delivery at home in India. The reasons for not delivering at healthcare facilities were also explored.

METHODS

The study used the National Family Health Surveys (NFHS)-4 (2015-2016) data from states and union territories of India for analysis. A national representative sample of 699,686 women of reproductive age group (15-49 years) was used. Cross-tabulation and multivariate logistic regression analyses were performed.

RESULTS

The prevalence of home delivery in India was 22%, among which 34% of women believed that institutional delivery was not a necessity. Financial constraints, lack of proper transportation facilities, non-accessibility of healthcare institutions and not getting permission from family members were the main reasons cited by the women for delivering at home. The proportion of home deliveries was much higher among women from more disadvantaged socioeconomic areas than women from less disadvantaged socioeconomic areas. Domestic violence and partner control were essential factors contributing to the prevalence of home delivery. However, the women who owned mobile phones and used a short message service (SMS) facility delivered at home less often.

CONCLUSION

Policymakers should focus more on the women living in disadvantaged socioeconomic areas and other marginalised populations with less education and low economic levels to provide them with optimum delivery care utilisation. Strengthening of public healthcare facilities and more effective use of skilled birth attendents and their networking are essential steps. Electronic and economic empowerment of women should be emphasised to bring about a significant reduction in the proportion of home deliveries in India.

Patterns and Predictors of Insufficient Antenatal Care Utilization in Nigeria over a Decade: A Pooled Data Analysis Using Demographic and Health Surveys

This study investigated the patterns of antenatal care (ANC) utilization and insufficient use of ANC as well as its association with some proximate socio-demographic factors. This was a cross-sectional study using pooled data Nigeria Demographic and Health Surveys from years 2008, 2013 and 2018. Participants were 52,654 women of reproductive age who reported at least one birth in the five years preceding the surveys. The outcome variables were late attendance, first contact after first trimester and less than four antenatal visits using multivariable logistic regression analysis. The overall prevalence of late timing was 74.8% and that of insufficient ANC visits was 46.7%. In the multivariable regression analysis; type of residency, geo-political region, educational level, household size, use of contraceptives, distance to health service, exposure to the media and total number of children were found to be significantly associated with both late and insufficient ANC attendance. About half of the pregnant women failed to meet the recommendation of four ANC visits. Investing on programs to improve women's socio-economic status, addressing the inequities between urban and rural areas of Nigeria in regard to service utilization, and controlling higher fertility rates may facilitate the promotion of ANC service utilization in Nigeria.

Utilization of maternal healthcare services in women experiencing spousal violence in Pakistan: A comparative analysis of 2012-13 and 2017-18 Pakistan Demographic Health Surveys

BACKGROUND

Pakistan and other developing countries need to address disparities in maternal health care and factors associated with it. This justifies tracking the progress on two important indicators 'spousal violence' and 'maternal health care utilization' to improve maternal health and achieve Sustainable Development Goals (SDGs) for these nations.

OBJECTIVE

The objective of this study is to compare the data from the latest two Demographic Health Surveys of Pakistan to identify trends in prevalence of various forms of spousal violence and maternal healthcare utilization and to determine the predictive role of spousal violence in poor maternal health.

METHODS

We conducted a retrospective analysis of nationally representative data from the 2012-13 and 2017-18 PDHS. The data used in this analysis is from the domestic violence module and core women's questionnaire. Spousal violence and sociodemographic background were predictor variables. Terminated pregnancy, number of pregnancy losses, number of antenatal visits for last birth and institutional delivery for last birth were taken as indicators of maternal health. Logistic regression analysis was conducted to test for association between maternal health indicators and various forms of spousal violence after controlling for sociodemographic variables.

RESULTS

Almost one quarter of women experienced physical and emotional violence as revealed by both surveys. Binary analysis revealed that all forms of spousal violence significantly associate with maternal health variables in both surveys. The comparison of results on logistic regression analysis showed that odd ratios were relatively higher for 2012-13 as compared to 2017-18 PDHS. Logistic regression analysis from 2017-18 data showed that experience of less severe physical violence (OR = 1.26; 95% CI, 1.08-1.47), severe physical violence (OR = 1.41; 95% CI, 1.09-1.83), sexual violence (OR = 1.39; 95% CI, 1.02-1.89), physical violence during pregnancy (OR = 1.37; 95% CI, 1.07-1.76) augment the risk of terminated pregnancy. Emotional violence decreases the likelihood for institutional delivery (OR = 0.64; 95% CI, 0.45-0.93) and above than four antenatal visits (OR = 0.54; 95% CI, 0.37-0.79).

CONCLUSIONS

Strategies to prevent spousal violence should be at the core of maternal health programs because health sector provides a platform to challenge social norms and promote attitudes that disapprove spousal violence which are essential for promoting gender equality, women empowerment (SDG 3) and improve maternal health (SDG 5).

Factors influencing institutional delivery and the role of accredited social health activist (ASHA): a secondary analysis of India human development survey 2012

Background

India has focused on incentivizing institutional delivery and introducing the ASHA worker as a key strategy to improve maternal health outcomes. We examined the determinants of institutional delivery and the role of the ASHA worker in shaping choice regarding place of delivery.

Methods

We used data from the India Human Development Survey-II conducted in 2011–12, and extracted an analytic sample of women (N = 8711) who reported having at least one child since 2005. Logistic regression was used to examine influence of socio-demographic factors, frequency of antenatal care (ANC) contacts and exposure to ASHA worker on institutional delivery.

Results

About 15% of the respondents had eight or more ANC contacts. The odds of having an institutional delivery were higher among those respondents who had 8 or more ANC contacts (OR = 3.39, p < 0.001, 95% CI: 2.26, 5.08), and those who had 4–7 ANC contacts (OR = 1.72, p < 0.001, 95% CI: 1.48, 1.99) as compared to those with less than 4 ANC contacts. About 26% of the respondents had any exposure to an ASHA worker. After controlling for ANC contacts, these respondents had three times the odds of institutional delivery (OR = 3.04, p < 0.001, 95% CI: 2.37, 3.89) compared to those who had no exposure to ASHA workers. Further, several sociodemographic variables were associated with institutional delivery. While age of spouse, age at marriage, level of education and urban residence were positively associated with institutional delivery; age of respondent and number of children were inversely associated with institutional delivery.

Conclusions

Both frequency of ANC contacts and exposure to ASHA worker independently emerge as important determinants of institutional delivery. Furthermore, ASHA workers may have a crucial role in promoting antenatal care, thereby strengthening the association between ANC contacts and institutional delivery.

Social determinants of maternal health: a scoping review of factors influencing maternal mortality and maternal health service use in India

BACKGROUND

Maternal health remains a major public health problem in India, with large inter- and intra-state inequities in maternal health service use and maternal deaths. The Commission on Social Determinants of Health provides a framework to identify structural and intermediary factors of health inequities, including maternal health, and understand their mechanism of influence, which might be important in addressing maternal health inequities in India. Our review aims to map and summarize the evidence on social determinants influencing maternal health in India and understand their mechanisms of influence by using a maternal health-specific social determinants framework.

METHODS

A scoping review was conducted of peer-reviewed journal articles in two databases (PubMed and Science Direct) on quantitative and qualitative studies conducted in India after 2000. We also searched for articles in a search engine (Google Scholar). Forty-one studies that met the study objectives were included: 25 identified through databases and search engines and 16 through reference check.

RESULTS

Economic status, caste/ethnicity, education, gender, religion, and culture were the most important structural factors of maternal health service use and maternal mortality in India. Place of residence, maternal age at childbirth, parity and women's exposure to mass media, and maternal health messages were the major intermediary factors. The structural factors influenced the intermediary factors (either independently or in association with other factors) that contributed to the use of maternal health service or caused maternal deaths. The health system emerged as a crucial and independent intermediary factor of influence on maternal health in India. Issues of power were observed in broader social contexts and in the relationships of health workers which led to differential access to maternal healthcare for women from different socioeconomic groups.

CONCLUSION

The model integrates existing information from quantitative and qualitative studies and provides a more comprehensive picture of structural and intermediary factors of maternal health service use and maternal mortality in India and their mechanisms of influence. Given the limitations of this study, we indicate the areas for further research pertaining to the framework and maternal health.

Determinants of home delivery in Nepal - A disaggregated analysis of marginalised and non-marginalised women from the 2016 Nepal Demographic and Health Survey

INTRODUCTION

In Nepal, a substantial proportion of women still deliver their child at home. Disparities have been observed in utilisation of institutional delivery and skilled birth attendant services. We performed a disaggregated analysis among marginalised and non-marginalised women to identify if different factors are associated with home delivery among these groups.

MATERIALS AND METHODS

This study used data from the 2016 Nepal Demographic and Health Survey. It involves the analysis of 3,837 women who had experienced at least one live birth in the five years preceding the survey. Women were categorised as marginalised and non-marginalised based on ethnic group. Bivariate and multivariable logistic regression analysis were performed to identify factors associated with home delivery.

RESULTS

A higher proportion of marginalised women delivered at home (47%) than non-marginalised women (26%). Compared to non-marginalised women (35%), a larger proportion of marginalised women (64%) felt that it was not necessary to give birth at health facility. The multivariable analysis indicated an independent association of having no or basic education, belonging to middle, poorer and the poorest wealth quintile, residing in Province 2 and not having completed of four antenatal care visits per protocol with home delivery among both marginalised and non-marginalised women. Whereas residing in a rural area, residing in Province 7, and at a distance of >30 minutes to a health facility were factors independently associated with home delivery only among marginalised women.

CONCLUSION

We conclude that poor education, poor economic status, non-completion of four ANC visits and belonging to Province 2 particularly determined either group of women to deliver at home, whereas residing in rural areas, living far from health facility, and belonging to Province 7 determined marginalised women to deliver at home. Preventing mothers from delivering at home would thus require focusing on specific geographical areas besides considering wider socio-economic determinants.

Factors influencing the decision to choose a birth center by pregnant women in Gombe state Nigeria

Purpose

Gombe state in northeast Nigeria records a high prevalence of home deliveries with very low facility deliveries despite the efforts of government and international non-governmental organizations in supporting maternal health services. The purpose of this paper is to assess the factors influencing the decision to choose a birth center by pregnant women in Gombe, Nigeria.

Design/methodology/approach

The design was a cross-sectional study of women from a baseline survey conducted in August 2016 in Gombe state, Nigeria. Data on women groups’ utilization of maternal services with a focus on antenatal care, delivery and postnatal care were collected using a structured questionnaire used for household survey conducted in the state. Data for 157 pregnant women from the sample of 750 women (15–49 years) were selected for the purpose of this analysis. Descriptive statistics, bivariate and multivariate analyses were used to determine the factors associated with choice of birth center.

Findings

Religion (AOR=12.117, 95% CI 1.774–82.741), paid work (AOR=3.633, 95% CI 1.243–10.615) and identification and knowledge of pregnancy complications (AOR=4.281, 95% CI 1.054–17.387) were the factors found to be significantly associated with choice of birth center by pregnant women. Age, education, closeness to a facility and decision by husband or woman were not found to be statistically significant.

Originality/value

The significance of disseminating knowledge about pregnancy complications, role of religious leaders and encouraging savings from women earnings need attention of the government to improve facility-based delivery.

A critical appraisal of the maternal and child health scenario in a metropolitan city in India with reference to achievements of millennium development goals

BACKGROUND

Post 2015, the Millennium Development Goals (MDGs) will undergo a transition to Sustainable Development Goals (SDGs). Therefore, it becomes necessary to assess the determinants influencing the present status of MDGs. This study was conducted to assess the progress, short comings related to the transition from MDGs to SDGs in a metropolitan city. It provides practical insights for extrapolating need based strategies related to the SDGs.

METHODS

Study was conducted in a metropolitan city, Mumbai. Situational analysis of the city was done using monthly and annual performance reports and key informant's interviews at city level. Qualitative analysis was done using thematic analysis.

RESULTS

The current infant mortality rate of Mumbai is 26.72 and under-five mortality rate is 38.7/1000 live births. The current MMR of mumbai is 88. The responses from the key informants' spanned three major themes: Concerns and challenges; Good practices and schemes in pipeline; and Opportunities envisioned. Eight major challenging areas were identified. Opportunities are sustainable models of public-private partnership; Involvement of NGOs and AYUSH practitioners; and IT sector involvement, HMIS, e- governance, and Corporate Social Responsibility (CSR).

CONCLUSIONS

Significant progress has been made in the field of maternal and child health (MCH), and sustained efforts are required. Maternal mortality figures may be illusive because of the effect of migration and referral cases. Socio-demographic issues of development need to be addressed through governance. Mechanism for intersectoral coordination, IT support, surveillance, and tracking of pregnant mothers needs to be developed. The linkage of MCH services with developmental programs needed.

Preference in place of delivery among rural Indian women

India accounts for the highest number of maternal and child deaths globally. A large body of empirical research suggests that improvement in the coverage of institutional delivery is essential to reduce the burden of maternal and child death. However the dynamics of choice of place of delivery is poorly understood. Using qualitative survey data consisting of twelve focus group discussions, conducted in a rural setting of West Bengal, India, this study aims to understand the reasons behind preferring home or institution for delivery. Findings reveal that some women who underwent an institutional delivery preferred to deliver their baby at home. On the other hand, of women who delivered their baby at home, 60% wanted to deliver their babies in institutions but could not do so, primarily due to the unwillingness of family members and misreporting of the onset of true labour pain. With the help of Accredited Social Health Activists, the village level health workers, there is need for an intervention that focuses on educating household members (essentially targeting husbands and mother-in-laws) about birth preparedness, and identification of true labour pain.

Dimensions of antenatal care service and the alacrity of mothers towards institutional delivery in South and South East Asia

BACKGROUND

A number of studies have assessed the effectiveness of antenatal care (ANC) on uptake of institutional delivery care. However, none address the issue of association between the different components of ANC i.e. ANC component which is independent of health care delivery systems (timing and number of ANC visits), ANC components which depends on health care delivery systems (specific ANC procedures that women receive) with institutional delivery.

METHODS

Data for the study has been taken from the DHS conducted in the six selected South and South-East Asian countries during 1998-2013. The two dimensions of ANC are the key predictors. The outcome variable is a binary variable, where zero '0' denotes a home delivery and one '1' denotes an institutional delivery. In addition to probit estimation biprobit estimation method has been used to correct for the possible endogeneity.

FINDINGS

Analysis suggests that both the factors show a positive effect on institutional delivery but the level of associations are different. Probit estimation for each country suggests that the association is higher for the factor- which depends on health care delivery systems than the other factor. After correction of endogeneity through biprobit estimation we get the true associations for both the dimensions and it confirms that the ANC components which depends on health care delivery systems is more associated with the utilization of institutional delivery than the other factor.

CONCLUSIONS

The content of care may fulfill the women's need and expectations while visiting for ANC care. The study suggests that the quality of antenatal care must be improved which depends on health care delivery systems to motivates the women to utilize the institutional delivery.