Gauging Class and Caste differences in Mortality: The Indian Experience.

This study is an exposition of class-caste based differences in mortality experience based on an indicator called household prevalence of death. It involves 75,432 death cases collected in National Family Health Survey-4, analysed using Relative Deprivation Index (RDI). We found, the prevalence of death found to be 11.8% in India, which varies across states and social and economic groups. The RDI values depict that the poorer households along with social group identities like schedule tribe and schedule caste households displayed a uniform disadvantage as regarding mortality across many states. The analysis offers evidence on differential experience of mortality across socio-economic identities. The evidence suggests poorer states having a marked disadvantage along with social and economic classes.

Impact of COVID-19 infection on life expectancy, premature mortality, and DALY in Maharashtra, India.

BACKGROUND: The COVID-19 infections and deaths have largely been uneven within and between countries. With 17% of the world's population, India has so far had 13% of global COVID-19 infections and 8.5% of deaths. Maharashtra accounting for 9% of India's population, is the worst affected state, with 19% of infections and 33% of total deaths in the country until 23rd December 2020. Though a number of studies have examined the vulnerability to and spread of COVID-19 and its effect on mortality, no attempt has been made to understand its impact on mortality in the states of India. METHOD: Using data from multiple sources and under the assumption that COVID-19 deaths are additional deaths in the population, this paper examined the impact of the disease on premature mortality, loss of life expectancy, years of potential life lost (YPLL), and disability-adjusted life years (DALY) in Maharashtra. Descriptive statistics, a set of abridged life tables, YPLL, and DALY were used in the analysis. Estimates of mortality indices were compared pre- and during COVID-19. RESULT: COVID-19 attributable deaths account for 5.3% of total deaths in the state and have reduced the life expectancy at birth by 0.8 years, from 73.2 years in the pre-COVID-19 period to 72.4 years by the end of 2020. If COVID-19 attributable deaths increase to 10% of total deaths, life expectancy at birth will likely reduce by 1.4 years. The probability of death in 20-64 years of age (the prime working-age group) has increased from 0.15 to 0.16 due to COVID-19. There has been 1.06 million additional loss of years (YPLL) in the state, and DALY due to COVID-19 has been estimated to be 6 per thousand. CONCLUSION: COVID-19 has increased premature mortality, YPLL, and DALY and has reduced life expectancy at every age in Maharashtra.

Unnatural death in India.

Rising adult mortality is an essential feature of the mortality transition. Vulnerability to disease and infection decreases with age, and adult mortality is more likely to be from unnatural causes such as suicide, homicide and road traffic accidents. This study aimed to assess the patterns of unnatural deaths in India as a whole and for various population subgroups. Data were obtained from the fourth wave of the National Family Health Survey (NFHS-4) conducted in 2015-16 in 29 states and 7 union territories of India. The survey collected information on deaths in households occurring in the 3 years before the survey. Rate of unnatural mortality and years of life lost were calculated separately for males and females as well as for urban and rural populations. Unnatural mortality in India was found to make up 10.3% of total deaths, and was greater among the population aged 10 to 45 years. The unnatural mortality rate in India was 0.67 per 1000 population: 0.84 per 1000 among the male population and 0.49 per 1000 among the female population. A strict positive association was found between the unnatural mortality rate and a state's development level. In addition, a substantial loss of person-years of life due to unnatural mortality was observed. The results serve as a reminder of the need to adopt measures to reduce this avoidable loss of life in India. Prevention strategies should be targeted at the most vulnerable populations to limit young-age fatality, with its resulting loss of productive years of life.

Intersection of class, caste, gender and unmet healthcare needs in India: Implications for health policy.

Despite renewed policy priorities to universalise health coverage, unmet need for healthcare is long-standing concern in India. The recent data suggests the unmet healthcare need amounts to a notable share of twelve per cent. While studies have examined inequalities in healthcare utilisation in single axes of social power, there was no consensus on the role of the intersectionality between class, caste and gender in shaping the unmet health need. Utilising data from National Sample survey 75th round (2017-18), this paper identifies the factors contributing to such unmet need and investigate the intersectionality of class with caste and gender in determining unmet need. The contribution of socioeconomic factors was assessed by the decomposition method & multivariate logistic regression was used to measure inter and intra-class differentials in unmet need. The analysis informs that class inequality is fundamental to having unmet need with limited role of gender and caste. Economic class however, interacting with caste and gender unfolds wider gaps in access to healthcare. While inter-class differences in unmet need are observed across caste as well as gender, intra-class differences intensify more by caste inequalities. The findings indicate the significance of the intersectional approach in identifying the sources of health inequity and special recognition to the income-poor and socially marginalised in policy agenda. Eliminating the barriers to health care access therefore needs a multidimensional construct of identifying combination of attributes to be focused towards realization of universal health coverage. These observations should aid in formulation and restructuring of the existing healthcare interventions to achieve equity in healthcare provision.

Examining calorie undernourishment in India: Is it due to choice or inadequacy?

BACKGROUND: Calorie undernourishment is often associated with poverty but India presents a unique scene of decline in money-metric poverty and rise in calorie deprivation. Existing literature has varied explanation towards this effect. However, neither are the poor entirely calorie compromised nor do all the non-poor qualify calorie compliance. AIM: This is an attempt at verifying whether calorie undernourishment is a result of choice of food basket or the inadequacy of food expenditure. METHOD: An answer to this question is attempted with the exploration of data obtained from the National Sample Survey Organization's Consumption Expenditure of Indian households for the periods 2004-2005 and 2011-2012. RESULTS: Findings reveal that over the last one decade, the average per capita per day calorie intakes have slightly increased from 2040.55 Kcal in 2004-2005 to 2087.33 Kcal in 2011-2012, which has led to the increased share of well-nourished households from 20.21% in the 61st round to 22.78% in the 68th round of survey in rural areas, whereas the similar increase in urban areas is from 36.1% to 40.65%. CONCLUSIONS: Calorie undernourishment among the non-poor is observed that calorie undernourishment, if any, among the non-poor is entirely due to choice but the same among the poor has a divide between choice and inadequacy. The urban poor are calorie compromised more due to choice rather than inadequacy as against their rural counterparts. With higher poverty, calorie, non-compliance among the poor is more due to choice when compared with lower magnitude of poverty. These observations form a basis for contesting the common understanding that calorie compromise is entirely driven by inadequacy/incapacity of food expenditure. could be viewed in terms of the food choices made, especially among the poor while setting the minimum threshold of food expenditure to be calorie compliant.

Perplexing condition of child full immunisation in economically better off Gujarat in India: An assessment of associated factors.

BACKGROUND: Despite decent progress in Children Full Immunisation (CFI) in India during the last decade, surprisingly, Gujarat, an economically more developed state, had the second-lowest coverage of CFI (50%) in the country, lower than economically less developed states such as Bihar (62%). Further, the proportion of children with no immunisation in Gujarat has risen from 5% in 2005 to 9% in 2016. This paper investigated factors associated with the low level of CFI coverage in Gujarat. METHODS: The study used two types of datasets: (1) the information on immunisation from 7730 children aged 12-23 months and their mothers from the fourth round of the Gujarat chapter of National Family Health Survey (NFHS 2015-16). (2) A macro (district) level data on both supply and demand-side factors of CFI are compiled from multiple sources. Bivariate and multivariate linear and logistic regression techniques were employed to identify the factors associated with CFI coverage. RESULTS: In Gujarat, during 2015-2016, 50% of children aged 12-23 months did not receive full immunisation. The odds of receiving CFI was higher among children whose mothers had a Maternal and Child Protection (MCP) card (OR: 1.97, 95% CI 1.48-2.60) and those who received "high" maternal health services utilisation (OR: 1.59, 95% CI 1.10-2.26) compared to their counterparts. The odds of receiving CFI was about three times higher among the richest households (OR: 6.50, 95% CI 3.75-11.55) compared to their counterparts in the poorer households. Macro-level analyses suggest that poverty, maternal health care, and higher-order births are defining factors of CFI coverage in Gujarat. CONCLUSIONS: In order of importance, focusing on poverty, economic inequalities, pregnancy registration, and maternal health care services utilisation are likely to improve receiving CFI uptake in Gujarat. The disadvantageous position of urban areas and non-scheduled tribes in CFI coverage needs further investigation.

Determinant of inequality in cesarean delivery in India: A decomposition analysis.

In India, Cesarean Section (CS) rate had got doubled in the last decade, with widespread diversity across the population subgroup. Hence, this study examined the pattern, inequality and driving correlates of CS in India. The attributes that shape the inequality in CS were private health facility, followed by the richest economic status, southern region, highest education level. A substantial rise in CS in private sectors and richer section raises the apprehension as to whether commercial motive of private providers contributes to the undue rise in CS that need not necessarily be genuine.

Measuring progress towards MDGs in child health: Should base level sensitivity and inequity matter?

Measurement of achievement or progress towards the Millennium Development Goals (MDGs) should be suggestive of the issues involved in intertemporal comparison. Commonly, we observe that the measurement techniques such as simple differentials, rates and ratios are employed for comparisons and interpretations. But such chosen measures are insensitive to two very important and fundamental concerns. Firstly, such measures are not differentially sensitive to the base level of the indicator against which comparisons are made to comment on the progress or achievement. Secondly, it is observed that in most of the progress assessments and comparisons, without exception, the focus is on population averages thus ignoring the inherent inequalities therein. To incorporate these two concerns, a method is proposed and an illustrative application is provided to review the MDG achievements in child health across 32 developing countries. The adopted technique is effective for comparison and interpretation of progress and achievement as it augments the principles of equity as well as base-level sensitivity. More importantly, such an improved measure could help the policymakers to identify achievements in a more realistic manner and thus develop a comprehensive vision regarding social and economic achievements.

Socio-economic inequalities in the use of postnatal care in India.

OBJECTIVES: First, our objective was to estimate socio-economic inequalities in the use of postnatal care (PNC) compared with those in the use of care at birth and antenatal care. Second, we wanted to compare inequalities in the use of PNC between facility births and home births and to determine inequalities in the use of PNC among mothers with high-risk births. METHODS AND FINDINGS: Rich-poor ratios and concentration indices for maternity care were estimated using the third round of the District Level Household Survey conducted in India in 2007-08. Binary logistic regression models were used to examine the socio-economic inequalities associated with use of PNC after adjusting for relevant socio-economic and demographic characteristics. PNC for both mothers and newborns was substantially lower than the care received during pregnancy and child birth. Only 44% of mothers in India at the time of survey received any care within 48 hours after birth. Likewise, only 45% of newborns received check-up within 24 hours of birth. Mothers who had home births were significantly less likely to have received PNC than those who had facility births, with significant differences across the socio-economic strata. Moreover, the rich-poor gap in PNC use was significantly wider for mothers with birth complications. CONCLUSIONS: PNC use has been unacceptably low in India given the risks of mortality for mothers and babies shortly after birth. However, there is evidence to suggest that effective use of pregnancy and childbirth care in health facilities led to better PNC. There are also significant socio-economic inequalities in access to PNC even for those accessing facility-based care. The coverage of essential PNC is inadequate, especially for mothers from economically disadvantaged households. The findings suggest the need for strengthening PNC services to keep pace with advances in coverage for care at birth and prenatal services in India through targeted policy interventions.