New evidence on the impact of the quality of prenatal care on neonatal and infant mortality in India

Making the health system work for over 25 million births annually: drivers of the notable decline in maternal and newborn mortality in India

INTRODUCTION

India's progress in reducing maternal and neonatal mortality since the 1990s was faster than the regional average. We systematically analysed how national health policies, services for maternal and newborn health, and socioeconomic contextual changes, drove these mortality reductions.

METHODS

The study's mixed-methods design integrated quantitative trend analyses of mortality, intervention coverage and equity since the 1990s, using the sample registration system and national surveys, with interpretive understandings from policy documents and 13 key informant interviews.

RESULTS

India's maternal mortality ratio (MMR) declined from 412 to 103 maternal deaths per 100 000 live births between 1997-1998 and 2017-2019. The neonatal mortality rate (NMR) declined from 46 to 22 per 1000 live births between 1997 and 2019. The average annual rate of mortality reduction increased over time. During this period, coverage of any antenatal care (57%-94%), quality antenatal care (37%-85%) and institutional delivery (34%-90%) increased, as did caesarean section rates among the poorest tertile (2%-9%); these coverage gains occurred primarily in the government (public) sector. The fastest rates for increasing coverage occurred during 2005-2012.The 2005-2012 National Rural Health Mission (which became the National Health Mission in 2012) catalysed bureaucratic innovations, additional resources, pro-poor commitments and accountability. These efforts occurred alongside smaller family sizes and improvements in macroeconomic growth, mobile and road networks, women's empowerment, and nutrition. These together reduced high-risk births and improved healthcare access, particularly among the poor.

CONCLUSION

Rapid reduction in NMR and MMR in India was accompanied by increased coverage of maternal and newborn health interventions. Government programmes strengthened public sector services, thereby expanding the reach of these interventions. Simultaneously, socioeconomic and demographic shifts led to fewer high-risk births. The study's integrated methodology is relevant for generating comprehensive knowledge to advance universal health coverage.

Distribution of self-reported health in India: The role of income and geography

An important new large-scale survey database is brought to bear on measuring and analysing self-reported health in India. The most important correlates are age, income and location. There is substantial variation of health across the 102 'homogeneous regions' within the country, after controlling for household and individual characteristics. Higher income is correlated with better health in only 40% of India. We create novel maps showing regions with poor health, that is attributable to the location, that diverge from the conventional wisdom. These results suggest the need for epidemiological studies in the hotspots of ill-health and in regions where higher income does not correlate with improved health.

Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data

INTRODUCTION

The continuum of care (CoC) throughout pregnancy, delivery and post-delivery has recently been highlighted as an integrated intervention programme for maternal, new-born, and child health. Existing literature suggests the importance of continuum of care (CoC) for improved maternal and child health outcomes. However due to unavailability of data at the lowest administrative levels, literature on spatial pattern of uptake of full CoC is lacking. The present study attempts to focus on the spatial analysis of CoC in maternal health care in India.

DATA AND METHODS

The study is based on the fourth round of National Family Health Survey data conducted in 2015-16 in India. The outcome variable used is maternal health continuum of care which includes- at least 4 ANC visits, delivery through skilled birth attendant and postnatal check-up within 48 hours of delivery. Univariate and bivariate Local Indicator of Spatial Association (LISA) maps have been generated to show the spatial pattern of CoC across 640 districts in India. We also employed spatial regression techniques to explore the determinants of CoC.

FINDINGS

Percentage of women who followed full CoC was observed to be least for East Kameng (0.0%) district of Arunachal Pradesh and highest in North Goa district (90.4%). Majority of districts where uptake of full CoC was more than 80 percent were found concentrated in southern region on India. Equivalently, findings indicated a strong spatial clustering of full CoC with high-high clusters mostly concentrated in southern districts. Low-low district clusters are concentrated in the states of Uttar Pradesh, Bihar and Madhya Pradesh. For complete CoC the global Moran's I is 0.73 indicating the spatial dependence. The spatial regression analysis suggested that modern contraceptive use, meeting with health worker, urbanization and secondary or above education for women have positive impact on the utilisation of CoC.

CONCLUSION

The spatial pattern indicates district level clustering in uptake of CoC among women. The study suggests policymakers and stakeholders to implement comprehensive interventions at sub-regional levels for ensuring the completion of CoC for women which acts as a preventive measure for adverse outcomes such as-maternal and child mortality.

Maternal iron-and-folic-acid supplementation and its association with low-birth weight and neonatal mortality in India

OBJECTIVE

The current study assessed intake of iron-and-folic-acid (IFA) tablet/syrup (grouped into none, < 100 d of IFA consumption or < 100 IFA and ≥ 100 d of IFA consumption or ≥ 100 IFA) among prospective mothers and its association with various stages of low-birth weight (ELBW, extremely low-birth weight; VLBW, very low-birth weight and LBW, low-birth weight) and neonatal mortality (death during day 0-1, 2-6, 7-27 and 0-27) in India.

DESIGN

The cross-sectional, nationally representative, 2015-2016 National Family Health Survey (NFHS-4) data were used. Weighted descriptive analysis and multiple binary logistic regression modelling were used.

SETTING

NFHS-4 covered 640 districts from thirty-seven states and union territories of India.

PARTICIPANTS

A total of 120 374 and 143 675 index children aged 0-59 months were included to analyse LBW and neonatal mortality, respectively.

RESULTS

Overall, 30·7 % mothers consumed ≥ 100 IFA in 2015-2016, and this estimate ranged from 0·0 % in Zunheboto district of Nagaland state to 89·5 % in Mahe district of Puducherry of India. Multiple regression analysis revealed that children of mothers who consumed ≥ 100 IFA had lower odds of ELBW, VLBW, LBW and neonatal mortality during day 0-1, as compared with mothers who did not buy/receive any IFA. Consumption of IFA (< 100 IFA and ≥ 100 IFA) had a protective association with neonatal death during day 7-27 and 0-27. Consumption of IFA was not associated with neonatal death during day 2-6.

CONCLUSIONS

While ≥ 100 IFA consumption during pregnancy was found to be associated with preventing select types of LBW and neonatal mortality, a large variation in coverage of ≥ 100 IFA consumption across 640 districts is concerning.

Effect of preterm birth on early neonatal, late neonatal, and postneonatal mortality in India

Despite India having a high burden of infant deaths and preterm birth, there is a clear lack of studies documenting association between preterm birth and infant mortality in India. Additionally, existing studies have failed to account for unobserved heterogeneity while linking preterm birth with infant mortality. Hence, the present study examines association of preterm birth with early neonatal death (ENND), late neonatal death (LNND), and postneonatal death (PNND) in India. We used the reproductive calendar canvassed in the cross-sectional National Family Health Survey 2015-16 (NFHS-4) to identify preterm births. We used multivariable logistic regression to examine the associations for all births, most-, second most-, and third most- recent births occurred in five years preceding NFHS-4. We use mother fixed-effect logistic regression to confirm the associations among all recent births. Among all births, preterm births were 4.2, 3.8, and 1.7 times as likely as full-term births to die during early neonatal, late neonatal, and postneonatal periods respectively. Among most recent births, preterm births were 4.4, 4.0, and 2.0 times as likely as full-term births to die during early neonatal, late neonatal, and postneonatal periods respectively. Preterm births were also associated with risk of only ENND, LNND, and PNND among the second most recent births. Preterm births were associated with risk of only ENND and LNND among the third most recent births. Preterm births were also associated with ENND, LNND, and PNND in the mother fixed-effects regressions. This study establishes associations of preterm birth with ENND, LNND, and PNND in India using over 0.2 million births that occurred in 5 years preceding one of the largest population-based representative household surveys conducted in any part of the world. Our findings call for programmatic and policy interventions to address the considerable burden of preterm birth in the country.

Does antenatal and post-natal program reduce infant mortality? A meta-analytical review on 24 developing countries based on Demographic and Health Survey data

OBJECTIVE

This study intended to reveal the effectiveness of Antenatal Care (ANC) and Postnatal care (PNC) services on infant mortality in 24 developing countries by utilizing the recent Demographic and Health Survey (DHS) data.

DESIGN

This study utilized the most recent DHS data from 2013 to 2019 of 24 different developing countries. Meta-analysis techniques were was implemented to congregate cross-sectional studies to integrate data from 24 countries to fulfill the study's objective. ParticipantsChildren's Recode (KR) data was used as this study is based on infants aged 0-11 months.

RESULTS

Results of this study uncovered for 24 developing countries that taking ANC and PNC had a statistically significant association in lowering infant death. These two covariates were found to significantly impact all 24 developing countries' infant mortality (OR: 0.356, 95% CI: 0.311; 0.407 for taking ANC and OR: 0.302, 95% CI: 0.243; 0.375 for taking PNC). Additionally, taking ANC was more effective in Asian countries, while taking PNC was more effective for African countries.

CONCLUSION

In this study, taking ANC and PNC services was significant in reducing the risk of infant mortality in developing countries. So, anticipation and advancement in health care services ought to be taken to lessen the chance of infant mortality.