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Coupled with the largest number of maternal deaths, adolescent pregnancy in India has received paramount importance due to early age at marriage and low contraceptive use. The factors associated with the utilization of maternal healthcare services among married adolescents in rural India are poorly discussed. Using the data from third wave of National Family Health Survey (2005-06), available in public domain for the use by researchers, this paper examines the factors associated with the utilization of maternal healthcare services among married adolescent women (aged 15-19 years) in rural India. Three components of maternal healthcare service utilization were measured: full antenatal care, safe delivery, and postnatal care within 42 days of delivery for the women who gave births in the last five years preceding the survey. Considering the framework on causes of maternal mortality proposed by Thaddeus and Maine (1994), selected socioeconomic, demographic, and cultural factors influencing outcome events were included as the predictor variables. Bi-variate analyses including chi-square test to determine the difference in proportion, and logistic regression to understand the net effect of predictor variables on selected outcomes were applied. Findings indicate the significant differences in the use of selected maternal healthcare utilization by educational attainment, economic status and region of residence. Muslim women, and women belonged to Scheduled Castes, Scheduled Tribes, and Other Backward Classes are less likely to avail safe delivery services. Additionally, adolescent women from the southern region utilizing the highest maternal healthcare services than the other regions. The present study documents several socioeconomic and cultural factors affecting the utilization of maternal healthcare services among rural adolescent women in India. The ongoing healthcare programs should start targeting household with married adolescent women belonging to poor and specific sub-groups of the population in rural areas to address the unmet need for maternal healthcare service utilization.

Background Many studies have been conducted on under-five mortality in India and most of them focused on the associations between individual-level factors and under-five mortality risks. On the contrary, only a scarce number of literatures talked about contextual level effect on under-five mortality. Hence, it is very important to have thorough study of under-five mortality at various levels. This can be done by applying multilevel analysis, a method that assesses both fixed and random effects in a single model. The multilevel analysis allows extracting the influence of individual and community characteristics on under-five mortality. Hence, this study would contribute substantially in understanding the under-five mortality from a different perspective. Method The study used data from the Demographic and Health Survey (DHS) acquired in India, i.e., the fourth round of National Family and Health Survey (2015–16). It is a nationally representative repeated cross-sectional data. Multilevel Parametric Survival Model (MPSM) was employed to assess the influence of contextual correlates on the outcome. The assumption behind this study is that ‘individuals’ (i.e., level-1) are nested within ‘districts’ (i.e., level-2), and districts are enclosed within ‘states’ (i.e., level-3). This suggests that people have varying health conditions, residing in dissimilar communities with different characteristics. Results Highest under-five mortality i.e., 3.85% are happening among those women whose birth interval is less than two years. In case of parity, around 4% under-five mortality is among women with Third and above order parity. Further, findings from the full model is that ICC values of 1.17 and 0.65% are the correlation of the likelihood of having under-five mortality risk among people residing in the state and district communities, respectively. Besides, the risk of dying was increased alarmingly in the first year of life and slowly to aged 3 years and then it remains steady. Conclusion This study has revealed that both aspects viz. individual and contextual effect of the community are necessary to address the importance variations in under-five mortality in India. In order to ensure substantial reduction in under-five mortality, findings of the study support some policy initiatives that involves the need to think beyond individual level effects and considering contextual characteristics.

Background India has achieved impressive gains in child survival over the last two decades; however, it was not successful in attaining MDG 2015 goals. The study’s objective is to inquire how the survival status of the preceding child affects the survival of the next born child. Methods This is a retrospective analysis of data from the National Family Health Survey, 2015–16. Analysis was restricted to women with second or higher-order births because women with first-order births do not have a preceding child. Proportional hazards regression, also called the Cox regression model, has been used to carry out the analysis. Kaplan–Meier (K–M) survival curves were also generated, with a focus on preceding birth intervals. Results Results found that female children were more likely to experience infant mortality than their male counterparts. Children born after birth intervals of 36+ months were least likely to experience infant mortality. Mother’s education and household wealth are two strong predictors of child survival, while the place of residence and caste did not show any effect in the Cox proportional model. Infant and child deaths are highly clustered among those mothers whose earlier child is dead. Conclusion Maternal childbearing age is still low in India, and it poses a high risk of infant and child death. Education is a way out, and there is a need to focus on girl’s education. The government shall also focus on raising awareness of the importance of spacing between two successive births. There is also a need to create a better health infrastructure catering to the needs of rich and poor people alike.

Household risk factors affecting child health, particularly malnutrition, are mainly basic amenities like drinking water, toilet facility, housing and fuel used for cooking. This paper considered the collective impact of basic amenities measured by an index specially constructed as the contextual factor of child malnutrition. The contextual factor operates at both the macro and micro levels namely the state level and the household level. The importance of local contextual factors is especially important when studying the nutritional status of children of indigenous people living in remote and inaccessible regions. This study has shown the contextual factors as potential factors of malnutrition among children in northeast India, which is home to the largest number of tribes in the country. In terms of macro level contextual factor it has been found that 8.9 per cent, 3.7 per cent and 3.6 per cent of children in high, medium and low risk households respectively, are severely wasted. Lower micro level household health risks, literate household heads, and scheduled tribe households have a negating effect on child malnutrition. Children who received colostrum feeding at the time of birth and those who were vaccinated against measles are also less subject to wasting compared to other children, and these differences are statistically significant.

ObjectiveThe aim of this study was to examine the epidemiology of disability in India and assess access to disability support and rehabilitation services by people with disability (PWD).DesignThis study is a secondary analysis of data from the 76th round of the National Sample Survey (2018), focusing on disability in India.SettingThe survey employed a stratified two-stage sampling design based on Census 2011, covering all states and union territories of India. Villages and urban blocks were selected in the first stage, while households were chosen in the second stage across rural and urban areas.ParticipantsThe survey included data from a population of 576 796 individuals residing in 118 152 households from 8992 village/urban blocks (5378 rural villages and 3614 urban blocks). The analysis focused on 107 125 individuals (61 707 male and 45 305 female) who reported at least one disability.Outcome measuresThe primary outcome was ‘any disability’. Secondary outcomes included access to disability support and rehabilitation services, which assessed difficulties in accessing public buildings and transport, loss of employment after disability, availability of government support, enrolment in special schools, and possession of a disability certificate.ResultsThe overall weighted disability prevalence was 2.2%, with significant disparities across sociodemographic characteristics. Among PWD, 45.9% of those who acquired disability after birth were aged between 15 years and 59 years, and 20.8% received no government aid. About 40% of PWD struggled to use public transport, and 57.7% had difficulties accessing public buildings. Additionally, 60.7% reported job loss due to disability, and 69.6% lacked a disability certificate.ConclusionThis study highlights disparities faced by PWD in accessing disability support and rehabilitation services. There is an urgent need for concerted efforts to minimise such experiences. This will help us enhance the well-being and participation of PWD and empower them to contribute to society with their true potential.

Although antenatal care (ANC) interventions have been in place for a long time, there is hardly any systematic evidence on the association between ANC interventions and neonatal mortality in India. The present study attempts to investigate the association between ANC interventions and neonatal mortality in India using data from the District Level Household Survey conducted in India during 2007-8. The ANC interventions included in the analysis are at least four antenatal visits, consumption of 90 or more iron-folic acid (IFA) tablets, and uptake of two or more tetanus toxoid (TT) injections. We have used discrete-time logistic regression models to investigate the association between ANC interventions and neonatal mortality. Risk of neonatal mortality was significantly lower for infants of mothers who availed four or more antenatal visits [odds ratio (OR): 0.69; 95% confidence interval (CI): 0.60-0.81], consumed 90 or more IFA tablets (OR: 0.85; 95% CI: 0.73-0.99), received two or more TT injections (OR: 0.73; 95% CI: 0.63-0.83). When we analysed different combinations of antenatal visits, IFA supplementation and TT injections, TT injections provided the main protective effect—the risk of neonatal mortality was significantly lower in newborns of women who received two or more TT injections but did not consume 90 or more IFA tablets (OR: 0.69; 95% CI: 0.60-0.78), or who received two or more TT injections but did not avail four or more antenatal visits (OR: 0.75; 95% CI: 0.66-0.86). In the statistical model, 6% (95% CI: 4-8%) of the neonatal deaths in India could be attributed to a lack of at least two IT injections during pregnancy. Indian public health programmes must ensure that every pregnant woman receives two or more IT injections during antenatal visits.

India’s traditional kinship behavior have undergone certain fundamental changes due to recent development and functioning of Indian society. Of all, the most dominant change is in the form of co-residence of children with their parents in old age. Without familial support, falling or no income and poor health, today, older adults are the most vulnerable population sub-group in the total population. Therefore, by using the India Human Development Survey-II, 2011-12 data we study the relevant association of living arrangement on health status of the older adults. Our results indicate that older adults living alone have significant and strong association with adverse health conditions such as Cataract, Hypertension, and Heart Disease. On the backdrop of health variations of older adults, it is understood that among other socio-economic conditions, living arrangement have serious implications on the health status of the older adults. Thus, we strongly support the notion that older adults with proper family care and support are more likely to be in a better health position as compared to those deprived of it.

IntroductionIndia’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.MethodsThe 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.ResultsIndia’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.ConclusionRapid 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.

BackgroundIndia’s progress in reducing maternal and newborn mortality since the 1990s has been exemplary across diverse contexts. This paper examines progress in two state clusters: higher mortality states (HMS) with lower per capita income and lower mortality states (LMS) with higher per capita income.MethodsWe characterised state clusters’ progress in five characteristics of a mortality transition model (mortality levels, causes, health intervention coverage/equity, fertility and socioeconomic development) and examined health policy and systems changes. We conducted quantitative trend analyses, and qualitative document review, interviews and discussions with national and state experts.ResultsBoth clusters reduced maternal and neonatal mortality by over two-thirds and half respectively during 2000–2018. Neonatal deaths declined in HMS most on days 3–27, and in LMS on days 0–2. From 2005 to 2018, HMS improved coverage of antenatal care with contents (ANCq), institutional delivery and postnatal care (PNC) by over three-fold. In LMS, ANCq, institutional delivery and PNC rose by 1.4-fold. C-sections among the poorest increased from 1.5% to 7.1% in HMS and 5.6% to 19.4% in LMS.Fewer high-risk births (to mothers <18 or 36+ years, birth interval <2 years, birth order 3+) contributed 15% and 6% to neonatal mortality decline in HMS and LMS, respectively. Socioeconomic development improved in both clusters between 2005 and 2021; HMS saw more rapid increases than LMS in women’s literacy (1.5-fold), household electricity (by 2-fold), improved sanitation (3.2-fold) and telephone access (6-fold).India’s National (Rural) Health Mission’s financial and administrative flexibility allowed states to tailor health system reforms. HMS expanded public health resources and financial schemes, while LMS further improved care at hospitals and among the poorest.ConclusionTwo state clusters in India progressed in different mortality transitions, with efforts to maximise coverage at increasingly advanced levels of healthcare, alongside socioeconomic improvements. The transition model characterises progress and guides further advances in maternal and newborn survival.

In a re-evaluation of overall decline to below replacement fertility in the Kerala state of India, it was generally found that fertility among Muslims is higher and contraceptive prevalence lower than among Hindus and Christians. This paper examines the interaction between religion and other socioeconomic factors, that is, whether the effect of religion on fertility remains constant across other factors. The analysis is based on the data from the National Family Health Survey-1 in Kerala. The analysis found that large Hindu-Muslim fertility differences at a low level of education do not persist at higher levels. For contraceptive use, wider gaps are found at a middle level of education and at a medium level of standard of living than at lower and higher levels. This indicates that couples at different socioeconomic settings make different decisions in spite of belonging to the same religion. The fact that fertility of Muslims at higher levels of socioeconomic status is low, and not much different than the fertility of other religions, suggests that the observed fertility gap between Hindus/Christians and Muslims is a passing phenomenon.