Preference in place of delivery among rural Indian women

Factors associated with inadequate receipt of components and non-use of antenatal care services in India: a regional analysis

BACKGROUND

Failure to use antenatal care (ANC) and inadequate receipt of components of ANC pose a significant risk for the pregnant woman and the baby. This study aimed to examine a regional analysis of factors associated with receiving no ANC and inadequate receipt of components of ANC services among Indian women.

METHOD

Information from 173,970 women of reproductive age 15-49 years from the 2019-21 India National Family Health Survey (NFSH-5) was analysed. Logistic regression analyses that adjusted for cluster and survey weights were conducted to assess the socio-demographic and other factors associated with receiving non-use of ANC and inadequate receipt of components of ANC, respectively, in the six regions and 28 states, and 8 union territories in India.

RESULTS

Across regions in India, 7% of women reported no ANC, and the prevalence of inadequate and adequate receipt of components of ANC in all six regions ranged from 67 to 89% and 8% to 24%, respectively. Of all the 36 federated entities, the prevalence of inadequate receipt of ANC components was less than two-thirds in Tamil Nadu, Puducherry, Andaman and the Nicobar Islands, Odisha, and Gujarat. Our analyses revealed that associated factors vary by region, state, and union territories. Women from poor households reported increased odds of receiving no ANC in North, East and North-eastern regions. Women who reported no schooling in South, East and Central regions were associated with increased odds of receiving no ANC. Women from poor households in Himachal Pradesh, Bihar, Uttar Pradesh, Nagaland, Manipur, Uttar Pradesh, and Madhya Pradesh states reported significantly higher odds of inadequate components ANC than women from rich households. The receipt of inadequate components of ANC was significantly higher among women who never read magazines in Delhi, Ladakh, Karnataka, Telangana, Jharkhand, Maharashtra, Uttar Pradesh, Chhattisgarh, Arunachal Pradesh, Manipur, and Mizoram states in India.

CONCLUSION

A better understanding of the factors associated with and incorporating them into the short- and long-term intervention strategies, including free financial support from the Indian government to encourage pregnant women from lower socioeconomic groups to use health services across all regions, states and union territories.

Intention to give birth in the health institutions and associated factors among women who gave birth in the last 6 months in Debre Berhan town, North Showa zone, Ethiopia: A community-based cross-sectional study

Background

Institutional delivery is a proxy for skilled birth attendance, which is an important intervention to reduce maternal and neonatal mortality. Even though institutional delivery has such importance, significant numbers of women in Ethiopia do not prefer to give birth in health institutions. This study aimed to assess women’s intention to give birth in health institutions and associated factors among women who gave birth in the last 6 months in Debre Berhan town, North Showa Zone, Ethiopia, 2020.

Materials and methods

A community-based cross-sectional study was conducted among women who gave birth in the last 6 months in Debre Berhan town from October 30 to November 30, 2020. A cluster sampling technique was used to select study participants. Pretested semi-structured interviewer-administered questionnaires were administered. A logistic regression model was performed, and adjusted odds ratios with a 95% confidence interval based on p < 0.05 were used to identify statistically significant variables.

Result

This study found that a total of 689 (88.8%) (95% CI: 86.6, 91%) respondents intended to deliver in the health facility. Being multiparous [AOR = 0.18 (95% CI: 0.08, 0.36)], having planned pregnancy [AOR = 3.1 (95% CI: 1.6, 5.9)], had no complications during previous delivery (AOR = 6.0 (95% CI: 3.5, 10.4)], and received respectful maternity care (RMC) during preceding delivery [AOD = 1.8 (95% CI: 1.05, 3.10)] are significantly associated with women’s intention to give birth in the health institution.

Conclusion

Childbirth is a special event that requires the safest place to save the lives of both the mother and newborn. In this study, the number of women who do not have the intention to give birth in the health institution is still high. Strategies to promote planned pregnancy, reduce complications during childbirth and provide RMC during childbirth should be designed and interventions should be implemented for all childbearing women.

Measurement and mapping of maternal health service coverage through a novel composite index: a sub-national level analysis in India

BACKGROUND

Expansion of maternal health service coverage is crucial for the survival and wellbeing of both mother and child. To date, limited literature exists on the measurement of maternal health service coverage at the sub-national level in India. The prime objectives of the study were to comprehensively measure the maternal health service coverage by generating a composite index, map India by categorizing it into low, medium and high zones and examine its incremental changes over time.

METHODS

Utilising a nationally representative time series data of 15 key indicators spread across three domains of antenatal care, intranatal care and postnatal care, we constructed a novel 'Maternal Health Service Coverage Index' (MHSI) for 29 states and 5 union territories of India for the base (2017-18) and reference (2019-20) years. Following a rigorous procedure, MHSI scores were generated using both arithmetic mean and geometric mean approaches. We categorized India into low, medium and high maternal health service coverage zones and further generated geospatial maps to examine the extent and transition of maternal health service coverage from base to reference year.

RESULTS

India registered the highest mean percentage coverage (93.7%) for 'institutional delivery' and the lowest for 'treatment for obstetric complications' (9.3%) among all the indicators. Depending on the usage of arithmetic mean and geometric mean approaches, the maternal health service coverage index score for India exhibited marginal incremental change (between 0.015-0.019 index points) in the reference year. West zone exhibited an upward transition in the coverage of maternal health service indicators, while none of the zones recorded a downward movement. The states of Mizoram (east zone) and the Union Territory of Puducherry (south zone) showed a downward transition. Union territories of Dadra & Nagar Haveli (west zone) and Chandigarh (north zone), along with the states of Maharashtra (west zone), Assam, as well as Jharkhand (both from the east & north east zone), showed upward transition.

CONCLUSION

Overall, maternal health service coverage is increasing across India. Our study offers a novel summary measure to comprehensively quantify the coverage of maternal health services, which can momentously help India identify lagged indicators and low performing regions, thereby warranting the targeted interventions and concentrated programmatic efforts to bolster the maternal health service coverage at the sub-national level.

Exploring the Relationship between Household Structure and Utilisation of Maternal Health Care Services in India

The role of household structure, especially the mother-in-law (MIL) influencing daughter-in-law's maternal health care (MHC) seeking behaviour, has been a continuing debate due to the former's advantageous position in the household. This study assesses the association of household structure and particularly the presence of MIL with MHC utilisation in India using the National Family Health Survey-4 data (2015-16). The sample of women aged 15-49 years who have given birth during the last five years preceding the survey (n=184,641) was considered for analysis. The outcome variables were full-antenatal care, institutional delivery, and postnatal care. Binary logistic regression was used to check the adjusted effects of the household structure on MHC utilisation. The analyses were done with STATA (version 13) with a significance level of 5%. Adjusting the effects of socio-demographic and economic characteristics, women from non-nuclear households with MIL had higher odds of full-antenatal care (OR= 1.04, CI= 0.99-1.08) and institutional delivery (OR=1.05, CI=1.01- 1.10) than their counterparts from nuclear households. Women from non-nuclear households without MIL had lower chances of postnatal care (OR=0.98, CI=0.96-1.00) than those from nuclear households. The study unearths a very weak association between the presence of MIL in the household and MHC services utilisation of the daughter-in-law, a notable change from the earlier literature often portraying MIL as a barrier.

Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review

BACKGROUND

Most post-licensure vaccine pharmacovigilance in low- and middle-income countries (LMICs) are passive reporting systems. These have limited utility for maternal immunization pharmacovigilance in LMIC settings and need to be supplemented with active surveillance. Our study's main objective was to identify existing perinatal data collection systems in LMICs that collect individual information on maternal and neonatal health outcomes and could be developed to inform active safety surveillance of novel vaccines for use during pregnancy.

METHODS

A scoping review was performed following the Arksey and O'Malley six-stage approach. We included studies describing electronic or mixed paper-electronic data collection systems in LMICs, including research networks, electronic medical records, and custom software platforms for health information systems. Medline PubMed, EMBASE, Global Health, Cochrane Library, LILACS, Bibliography of Asian Studies (BAS), and CINAHL were searched through August 2019. We also searched grey literature including through Google and websites of existing relevant perinatal data collection systems, as well as contacted authors of key studies and experts in the field to validate the information and identify additional sources of relevant unpublished information.

RESULTS

A total of 11,817 records were identified. The full texts of 264 records describing 96 data collection systems were assessed for eligibility. Eight perinatal data collection systems met our inclusion criteria: Global Network's Maternal Newborn Health Registry, International Network for the Demographic Evaluation of Populations and their Health; Perinatal Informatic System; Pregnancy Exposure Registry & Birth Defects Surveillance; SmartCare; Open Medical Record System; Open Smart Register Platform and District Health Information Software 2. These selected systems were qualitatively characterized according to seven different domains: governance; system design; system management; data management; data sources, outcomes and data quality.

CONCLUSION

This review provides a list of active maternal and neonatal data collection systems in LMICs and their characteristics as well as their outreach, strengths, and limitations. Findings could potentially help further understand where to obtain population-based high-quality information on outcomes to inform the conduct of maternal immunization active vaccine safety surveillance activities and research in LMICs.

Maternal health situation in Empowered Action Group of states of India: A comparative analysis of state reports from National Family Health Survey (NFHS)-3 and 4

Motherhood is often claimed as the most positive and fulfilling experience. Nevertheless, there exist several women whose motherhood was associated with suffering, ill-health and even death. The condition is graver in few states of India which are socioeconomically backward (also called Empowered Action Group of states). The present study adopted a narrative description of various key indicators of maternal health as outlined in the NFHS-3 and NFHS-4 state reports. The prime focus was to examine whether the performance of those states has got better or worse in these two survey reports. The study has also discussed various factors related to the performance of each key indicator of maternal health. The overall limiting success of maternal health status in these states calls for improvement in execution of various maternal health related activities.

Factors influencing the choice of facility-based delivery in the ethnic minority villages of Lao PDR: a qualitative case study

Background

Facility-based delivery has been promoted to improve maternal and child health care in Lao PDR and a free delivery policy was introduced at designated health care facilities (HCF) in 2013. However, according to birth records of HCFs in the impoverished and remote district, only a few women utilized the HCFs despite good physical accessibility. The aim of this study was to analyze the factors influencing the choice of facility-based delivery in the impoverished and remote district after a free delivery policy was introduced.

Methods

Qualitative case study was employed. Focus group discussions (FGDs) and in-depth interviews (IDIs) were conducted from August to October 2015. Five hamlets (or small village) located along the main road where only a few women delivered at HCFs were selected for the study based on birth records. The participants of the FGDs and IDIs were the village heads, village health volunteers, women who delivered at home or at a health facility within the past 2 years, their husbands, and mothers or mothers-in-law. Thematic analysis was used to analyze the data.

Results

A total of 12 FGDs and 27 IDIs were conducted, and the number of participants was 105. The factors influencing the choice of facility-based delivery were classified into nine categories and 19 subcategories. The categories were labeled, “perception of childbirth,” “traditional health concept: sabaai (a condition of health, ease, and comfort),” “perception of health care facilities and staff,” “previous pregnancy and childbirth experience,” “mode of available transportation,” “financial burden of childbirth at health care facility,” “family and community context,” “institutional context,” and “government policy on delivery.”

Conclusion

Our study demonstrated that five major factors negatively influenced the choice of facility-based delivery: (1) perception of childbirth, (2) preference for sabaai, (3) financial burden, (4) family decision-making, and (5) institutional context. To promote facility-based delivery in the impoverished and remote district, three strategies are recommended: (1) promoting community-based health education involving women and strengthening community-based mutual support, (2) clarifying items essential for delivery at HCFs, and (3) making HCFs more comfortable in terms of “sabaai.”