Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016.

BACKGROUND: This study examines associations between sex composition of older siblings and infant mortality by sex, to guide efforts to address excess female infant mortality in India. METHODS: We conducted a retrospective cross-sectional study of infant mortality in India using four waves of data from the nationally-representative National Family Health Survey, collected between 1992 and 2016 (unweighted N = 338,504 for children aged 1-5). We used sex-stratified multivariable logistic regression models to assess the associations between sex composition of older siblings and risk of infant mortality. FINDINGS: Male infants with two living older sisters and no living older brothers had lower odds of infant mortality relative to those with one living older brother (e.g., 2015-16 AOR 0.62, 95% CI 0.50-0.76); this effect was significant for boys across all waves of data but was not seen for girls in any wave. Exploratory models focused on third order births found that boys were less likely than girls to die in infancy if born subsequent to two older sisters (2015-16 AOR 0.48, 95% CI 0.31-0.74); analysis of crude prevalence data indicated that this converts into a 64% greater risk for infant mortality for girls relative to boys in this third-order group. INTERPRETATION: Higher birth order males with older sisters have greater protection against infant mortality, a finding that has persisted for over 25 years. To address ongoing gender inequities in infant survival in India, greater focus is needed to support higher birth order girls and social norm movements against son preference.

Why is the inpatient cost of dying increasing in India?

INTRODUCTION: There is an evidence of increasing inpatient expenditure for decedents. Estimates used to assess the economic burden of out-of-pocket (OOP) healthcare expenditure provide an underestimation for inpatient decedent cases. The aims of this paper are to study the trend and pattern of inpatient decedent expenditure and decipher the reasons behind the increasing cost in India. METHODS: Using three rounds of national level National Sample Survey (NSS) data on morbidity & healthcare conducted during 1995-2015 in India, total and component-wise cost of dying was estimated by the socio-demographic characteristics and types of diseases. Generalised linear model was employed to find the changing effect of inpatient decedents on inpatient expenditure on three-time points. RESULTS: More than half among inpatient decedents were elderly. Mean inpatient expenditure for neoplasm, circulatory system-related diseases and external causes of mortality and morbidity increased substantially during these two decades. Mean decedent inpatient expenditure become double, diagnostic and bed charges increased by 243%, 323% respectively during 2004-05 to 2014-15. During 2014-15 average decedents aged 15-59 years spent ₹53599 in last twelve month of their life. Controlling all other potential factors, the inpatient expenditure among decedents increased substantially between 1995-96 and 2014-15. DISCUSSION: Out-of-pocket inpatient health expenditure widened between survivor and decedents in between 1995-2014. Increase in the proportion of elderly, proportion of non-communicable and lifestyle-related diseases, expenses on drugs, diagnostics, bed charges largely private sector expenses were the leading reasons for increasing inpatient decedent expenditure. Age-based risk adjustment and modification of end-of-life care are strongly required, future social insurance based on the health-based value of out-of-pocket expenditure rather than their pure consumption value need to be designed to tackle the burden.

Triple burden of disease and out of pocket healthcare expenditure of women in India.

AIM: Women, unlike men, are subjected to triple burden of disease, namely, non-communicable and communicable diseases and reproductive health related diseases. To assess prevalence of triple burden of disease of currently married women and to contrast out of pocket maternal care expenditure of these diseases in India. SUBJECT AND METHODS: This study uses nationally representative unit level data from the 71st round (2014) of the National Sample Survey Organisation. Descriptive statistics and bivariate analysis are employed to assess triple burden of diseases by background of currently married women. Mean out of pocket (OOP) expenditure for healthcare care by demographic and household characteristics of women are also compared by type of diseases. Two parts model is adopted for assessment of determents of out of pocket healthcare expenditure of women. RESULTS: Overall medical and non-medical expenses of non-communicable disease are much higher than those of other disease and disability, reproductive health related and communicable diseases. OOP expenditure for treatment of non-communicable diseases, reproductive health and related diseases and other disease and disability are significantly higher than the inpatient treatment of communicable diseases and the differences are statistically significant. CONCLUSION: Out of pocket expenditure for treatment of non-communicable diseases is the highest, followed by that of other diseases & disability, then reproductive health related diseases and the least is for communicable diseases. OOP expenditures for maternal healthcare in private health facilities are much higher than in public health facilities regardless of types of disease. Women from households having insurance of any member spent less than that of women from households not having health insurance. There is an urgent need to expand the outreach of the public health system in India to rural areas.

Why Do the Youths in Northeast India Use Tobacco?

This study is an assessment of the influence of parent's tobacco use on prospective tobacco use trajectories among young offspring. The study is based on unit level data from District Level Household and Facility Survey-4 (2012-2013) comprising 27,706 youths in 15-24 years' age group from northeastern states of India and used multilevel regression to identify the potential risk factors of tobacco consumption. The likelihood of using tobacco was found to be 3.4 and 1.14 times more, respectively, for the youths coresiding with mothers who use tobacco and fathers who use tobacco, in comparison to youths staying with parents not taking tobacco. The significant effect of peers on tobacco consumption among youths was also observed. School-going youths had significantly lower risk of tobacco use. The estimated likelihood of a young person from a household to use any tobacco, use smokeless tobacco, and smoke was found to be 28, 12, and 17 percent, respectively. There is an urgent need to extend National Tobacco Control Programme (NTCP) to the community level involving civil societies and young and adult generations for spreading awareness about the health hazards of tobacco use, providing support and facilitating quitting tobacco use.

Ecological context of infant mortality in high-focus states of India.

OBJECTIVES: This goal of this study was to shed light on the ecological context as a potential determinant of the infant mortality rate in nine high-focus states in India. METHODS: Data from the Annual Health Survey (2010-2011), the Census of India (2011), and the District Level Household and Facility Survey 3 (2007-08) were used in this study. In multiple regression analysis explanatory variable such as underdevelopment is measured by the non-working population, and income inequality, quantified as the proportion of households in the bottom wealth quintile. While, the trickle-down effect of education is measured by female literacy, and investment in health, as reflected by neonatal care facilities in primary health centres. RESULTS: A high spatial autocorrelation of district infant mortality rates was observed, and ecological factors were found to have a significant impact on district infant mortality rates. The result also revealed that non-working population and income inequality were found to have a negative effect on the district infant mortality rate. Additionally, female literacy and new-born care facilities were found to have an inverse association with the infant mortality rate. CONCLUSIONS: Interventions at the community level can reduce district infant mortality rates.

Domains and Determinants of Well-Being of Older Adults in India.

This study proposes a well-being index of older adults which integrates five domains, namely, activities of daily living, health status, psychological strength, life accomplishment and social ties, and examines potential socio-demographic, living arrangement, lifestyle and religiosity determinants of well-being. The present study uses micro data of 1255 older adults from the recent pilot survey for the Longitudinal Aging Study in India (LASI) conducted in 2010. The results suggest that normal activities of daily life, health, and social ties decline with advancing age, while life accomplishment remains stable over age. However, when all domains are integrated, well-being tends to fade out with advancing age. While smoking has a deterrent effect on well-being, better economic status, literacy, living in a joint family with spouse, religiosity, and regular physical exercise have a statistically significant positive effect on the well-being of older adults in India.

MEASURING EARLY LIFE DISPARITY IN INDIA.

Early life disparity - defined as the average life years lost due to death by the age of 60 years - can be used to assess more systematically the effect of savings from death at a young age. In addition, it can give valuable insight into the consequences of death in the early stages of life. Early life disparity can further be categorized into child life disparity (0-14 years) and adult life disparity (15-60 years). This study estimated early life disparity using complete life tables for the period 1970-1975 to 2006-2010, which were constructed from abridged life tables and death rates provided by the Sample Registration System (SRS) in India. The contribution of premature deaths to the difference in life disparity was estimated using a replacement algorithm. The findings clearly indicated an overall declining trend in early life disparity in India, with a notable reduction in child life disparity, and a deceleration of adult life disparity during the period 1970-1975 to 2006-2010. Interstate variations in early life disparity were seen to converge with time. Decomposition analysis suggested that these variations could be minimized further by averting death during childhood.

Do Physical Proximity and Availability of Adequate Infrastructure at Public Health Facility Increase Institutional Delivery? A Three Level Hierarchical Model Approach.

This study aims to examine the inter-district and inter-village variation of utilization of health services for institutional births in EAG states in presence of rural health program and availability of infrastructures. District Level Household Survey-III (2007-08) data on delivery care and facility information was used for the purpose. Bivariate results examined the utilization pattern by states in presence of correlates of women related while a three-level hierarchical multilevel model illustrates the effect of accessibility, availability of health facility and community health program variables on the utilization of health services for institutional births. The study found a satisfactory improvement in state Rajasthan, Madhya Pradesh and Orissa, importantly, in Bihar and Uttaranchal. The study showed that increasing distance from health facility discouraged institutional births and there was a rapid decline of more than 50% for institutional delivery as the distance to public health facility exceeded 10 km. Additionally, skilled female health worker (ANM) and observed improved public health facility led to significantly increase the probability of utilization as compared to non-skilled ANM and not-improved health centers. Adequacy of essential equipment/laboratory services required for maternal care significantly encouraged deliveries at public health facility. District/village variables neighborhood poverty was negatively related to institutional delivery while higher education levels in the village and women's residing in more urbanized districts increased the utilization. "Inter-district" variation was 14 percent whereas "between-villages" variation for the utilization was 11 percent variation once controlled for all the three-level variables in the model. This study suggests that the mere availability of health facilities is necessary but not sufficient condition to promote utilization until the quality of service is inadequate and inaccessible considering the inter-districts variation for the program implementation.

What Explains Child Malnutrition of Indigenous People of Northeast India?

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.

Contextual correlates of intensity of smoking in northeast India.

OBJECTIVES: This study assessed the significance of socio-demographic and contextual factors on the number of daily cigarette and bidi smoking in northeast India. METHODS: This study is based on the data from the Global Adult Tobacco Survey-India (2009-2010). Community asset is measured as the totality of all households' durables and community affinity to smoking as the proportion of households which allowed smoking in the house. RESULTS: High daily cigarette and bidi smokers constitute 20 and 30 % of the respective smokers and they smoke 35.8 cigarettes and 14.6 bidis daily, respectively, on the average. The higher is the community affinity to smoking, the higher is the intensity of smoking among the high daily cigarette smokers. Advancing age and educational attainment have significant deterrent effect on the intensity of cigarette and bidi smoking. CONCLUSIONS: Contextual factors are found to be important for regional tobacco control programmes. The need for reaching out to communities and the importance of promotion of public-private partnership under the provision of corporate social responsibility for effectiveness of tobacco control programme is recommended.

Socioeconomic Correlates of Gender Differential in Poor Health Status Among Older Adults in India.

Assessment of the health status of the older adults can go a long way in controlling the disease burden and monitoring the path to healthy aging in India. In the absence of a population-based clinical survey to collect data on morbidities and other health conditions through biomarkers, self-rated health by nationally representative older population is used for understanding factors contributing to the gender differential in health status. Socioeconomic status is the most important factor explaining 59% of the gender gap in self-assessed health among older adults. The vulnerability of older women in terms of educational attainment, occupational status, and economic dependency is responsible for the higher level of poor self-assessed health. The gender gap in self-assessed poor health among older Indian adults, which perpetuates over the life course resulting in severe health disadvantages at old age can be reduced considerably through social empowerment and gender sensitive public policies.

Prevalence and determinants of tobacco use in India: evidence from recent Global Adult Tobacco Survey data.

BACKGROUND: Tobacco use in India is characterized by a high prevalence of smoking and smokeless tobacco use, with dual use also contributing a noticeable proportion. In the context of such a high burden of tobacco use, this study examines the regional variations, and socioeconomic, demographic and other correlates of smoking, smokeless tobacco and dual use of tobacco in India. METHODS AND FINDINGS: We analyzed a cross sectional, nationally representative sample of individuals from the Global Adult Tobacco Survey in India (2009-10), which covered 69,296 individuals aged 15 years and above. The current tobacco use in three forms, namely, smoking only, smokeless tobacco use only, and both smoking and smokeless tobacco use were considered as outcomes in this study. Descriptive statistics, cross tabulations and multinomial logistic regression analysis were adopted as analytical tools. Smokeless tobacco use was the major form of tobacco use in India followed by smoking and dual tobacco use. Tobacco use was higher among males, the less educated, the poor, and the rural population in India. Respondents lacking knowledge of health hazards of tobacco had higher prevalence of tobacco use in each form. The prevalence of different forms of tobacco use varies significantly by states. The prevalence of tobacco use increases concomitantly with age among females. Middle-aged adult males had higher prevalence of tobacco use. Age, education and region were found to be significant determinants of all forms of tobacco use. Adults from the poor household had significantly higher risk of consuming smokeless tobacco. Lack of awareness about the selected hazards of tobacco significantly affects tobacco use. CONCLUSIONS: There is an urgent need to curb the use of tobacco among the sub-groups of population with higher prevalence. Tobacco control policies in India should adopt a targeted, population-based approach to control and reduce tobacco consumption in the country.

Inpatient length of stay: a finite mixture modeling analysis.

Length of stay (LOS) in hospital for inpatient treatment is a measure of crucial recovery time. Using nationwide data on inpatient healthcare in India, a three-component finite mixture negative binomial model was found to provide a reasonable fit to the heterogeneous LOS distribution. Associated risk factors for short-stay, medium-stay and long-stay subgroups were identified from the respective negative binomial components. In addition, significant heterogeneities within each group were also found.

Household use of inpatient healthcare services in India.

Improving household use of healthcare facilities is a vital public health strategy to reduce burden of disease in India. Our study set out to understand the importance of the interplay of household characteristics and state-level public health covariates in accessing inpatient healthcare services. The study is based on morbidity and healthcare data from the 60th round of the Indian National Sample Survey Organisation, 2004. We used multilevel logistic regression to disentangle dependence among the observations. We observed that the education level of household heads and the household's economic well-being had a significant positive influence on accessing inpatient healthcare services. Distance from the household to the health facility showed a significant inverse association with use of health facilities for inpatient treatment. Further, we found a significant variation across the states. Variability in accessing inpatient services at the household and state levels are 1.7% and 21% respectively.

Contextual correlates of child malnutrition in rural Maharashtra.

This paper examines the role of observed contextual factors like topography, development and literacy on severe malnutrition among social groups in rural Maharashtra based on the Reproductive and Child Health District Level Household Survey (RCH-DLHS) Round II (2002-04) data. Multilevel modelling techniques were applied in order to examine the district-wise variations in severe malnutrition associated with the characteristics of the places (contextual effects), as the relationships with the type of people (compositional effects) have already been well established. The results show that developmental aspects such as road connectivity, community literacy, toilet facilities and household standard of living contribute positively to the status of severe malnutrition. Also, the scheduled tribe, aboriginal underprivileged group are more at risk of severe malnourishment due to a lack of proper development, poor awareness about maintaining and enhancing the nutritional value of food and lack of hygiene and sanitation as compared with the scheduled castes, another aboriginal group.