Economics of widowhood mortality in adult women in India.

The economic consequence of widowhood on health is well-established, demonstrating that economic factors can significantly link with health outcomes, even the risk of mortality for widows. However, empirical evidence is restricted only to developed countries. Thus, this study assesses the role of economic factors (paid work, pension and household economic status) on the mortality of widows in broad age groups in India. We used two waves of the India Human Development Survey (IHDS), a nationally representative prospective dataset in India for 42,009 women (married and widows) aged 25 years and above at IHDS wave 1 whose survival status was observed between two waves. Further, 6,953 widows were considered for sub-sample analysis in this study. Logistic regression and propensity score matching (PSM) were applied to understand the association and causality between economic factors and mortality for widows. Poor household economic status, paid regular work, and receiving a widowed pension were significantly associated with lower mortality risk for young widows. In comparison, unpaid and paid regular work was linked with lower mortality risk for old widows. The result of causal analysis suggests that receiving a widows' pension had a slight impact on mortality reduction for young widows while engaging in paid regular work significantly reduced the mortality of old widows. This research confirms that the link between economic factors and mortality among widows is age dependent in the Indian context.

Small area variations in low birth weight and small size of births in India.

The states and districts are the primary focal points for policy formulation and programme intervention in India. The within-districts variation of key health indicators is not well understood and consequently underemphasised. This study aims to partition geographic variation in low birthweight (LBW) and small birth size (SBS) in India and geovisualize the distribution of small area estimates. Applying a four-level logistic regression model to the latest round of the National Family Health Survey (2015-2016) covering 640 districts within 36 states and union territories of India, the variance partitioning coefficient and precision-weighted prevalence of LBW (<2.5 kg) and SBS (mother's self-report) were estimated. For each outcome, the spatial distribution by districts of mean prevalence and small area variation (as measured by standard deviation) and the correlation between them were computed. Of the total valid sample, 17.6% (out of 193,345 children) had LBW and 12.4% (out of 253,213 children) had SBS. The small areas contributed the highest share of total geographic variance in LBW (52%) and SBS (78%). The variance of LBW attributed to small areas was unevenly distributed across the regions of India. While a strong correlation between district-wide percent and within-district standard deviation was identified in both LBW (r = 0.88) and SBS (r = 0.87), they were not necessarily concentrated in the aspirational districts. We find the necessity of precise policy attention specifically to the small areas in the districts of India with a high prevalence of LBW and SBS in programme formulation and intervention that may be beneficial to improve childbirth outcomes.

Maternal education, health care system and child health: Evidence from India.

Global evidence suggests that maternal education is a crucial determinant of a child's health. The health system moderates the maternal education and child health relationship. However, there is sparse evidence on which direction health system moderates this relationship, especially in developing nations because of limited data availability. In order to address this gap in the evidence, we study this question in the Indian context, where the health system is still in a transitioning phase. We use two nationally representative surveys, the fourth round of the National Family Health Survey (2015-16) and the fourth round of the District Level Health Survey data (2012-13), to estimate the effects of maternal education and the health care system on child death and child anaemia. We map district-level data on health infrastructure and human resources information with individual-level information on health outcome, insurance, and antenatal care coverage along with other socio-economic characteristics. In accordance with global evidence, we find that maternal education remains an important determinant of child health outcomes in India too. However, the association between maternal education and child health outcomes weakens in the presence of a poor health care system. Health system improvement first benefits the already privileged in the Indian context. Yet, it should not hinder the policy focus either on the improvement of women's education or the medical care system.

Estimating the Burden of Child Undernutrition for Smaller Electoral Units in India.

Importance: Geographic targeting of public health interventions is needed in resource-constrained developing countries. Objective: To develop methods for estimating health and development indicators across micropolicy units, using assembly constituencies (ACs) in India as an example. Design, Setting, and Participants: This cross-sectional study included children younger than 5 years who participated in the fourth National Family and Health Survey (NFHS-4), conducted between January 2015 and December 2016. Participants lived in 36 states and union territories and 640 districts in India. Children who had valid weight and height measures were selected for stunting, underweight, and wasting analysis, and children between age 6 and 59 months with valid blood hemoglobin concentration levels were included in the anemia analysis sample. The analysis was performed between February 1 and August 15, 2020. Exposures: A total of 3940 ACs were identified from the geographic location of primary sampling units in which the children's households were surveyed in NFHS-4. Main Outcomes and Measures: Stunting, underweight, and wasting were defined according to the World Health Organization Child Growth Standards. Anemia was defined as blood hemoglobin concentration less than 11.0 g/dL. Results: The main analytic sample included 222 172 children (mean [SD] age, 30.03 [17.01] months; 114 902 [51.72%] boys) from 3940 ACs in the stunting, underweight, and wasting analysis and 215 593 children (mean [SD] age, 32.63 [15.47] months; 112 259 [52.07%] boys) from 3941 ACs in the anemia analysis. The burden of child undernutrition varied substantially across ACs: from 18.02% to 60.94% for stunting, with a median (IQR) of 35.56% (29.82%-42.42%); from 10.40% to 63.24% for underweight, with a median (IQR) of 32.82% (25.50%-40.96%); from 5.56% to 39.91% for wasting, with a median (IQR) of 19.91% (15.70%-24.27%); and from 18.63% to 83.05% for anemia, with a median (IQR) of 55.74% (48.41%-63.01%). The degree of inequality within states varied across states; those with high stunting, underweight, and wasting prevalence tended to have high levels of inequality. For example, Uttar Pradesh, Jharkhand, and Karnataka had high mean AC-level prevalence of child stunting (Uttar Pradesh, 45.29%; Jharkhand, 43.76%; Karnataka, 39.77%) and also large SDs (Uttar Pradesh, 6.90; Jharkhand, 6.02; Karnataka, 6.72). The Moran I indices ranged from 0.25 to 0.80, indicating varying levels of spatial autocorrelation in child undernutrition across the states in India. No substantial difference in AC-level child undernutrition prevalence was found after adjusting for possible random displacement of geographic location data. Conclusions and Relevance: In this cross-sectional study, substantial inequality in child undernutrition was found across ACs in India, suggesting the importance of considering local electoral units in designing targeted interventions. The methods presented in this paper can be further applied to measuring health and development indicators in small electoral units for enhanced geographic precision of public health data in developing countries.

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.

Road to family planning and RMNCHN related SDGs: Tracing the role of public health spending in India.

Globally, public health expenditure (PHE) is closely associated with Reproductive, Maternal, Newborn, Child Health, and Nutrition (RMNCHN) and Family Planning (FP) outcomes. In India, the role of PHE in shaping the progress towards the attainment of RMNCHN and FP-related Sustainable Development Goals (SDGs) is not widely documented. Using the four consecutive rounds of National Family Health Survey (NFHS), we have investigated the progress in RMNCHN and FP indicators and their association with PHE by applying robust econometric modelling. The findings suggest that although there is noticeable progress in the RMNCHN indicators from 1992-93-2015-16, India has failed to achieve RMNCHN targets related to Millennium Development Goals (MDGs). Lack of noteworthy correlation between FP indicators and PHE supports the argument that post National Rural Health Mission (2005), the core family welfare expenditure suffered a setback despite the absolute rise in PHE. However, correlation plots and the multivariate panel data regression analyses affirm that even with a moderate rise, PHE emerges as an important predictor of RMNCHN outcomes in the country. Thus, the road to achieving RMNCHN and FP-related SDGs demands to avoid austerity on PHE and strengthen the integration of RMNCHN and FP programmes at the operational level.

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.

Gender bias in hospitalization financing from borrowings, selling of assets, contribution from relatives or friends in India.

BACKGROUND: Studies from India have documented gender differentials in hospitalization financing. Much of this work focused either on children or adults, but not across age-groups. No research to date has focused on gender differentials in case of catastrophic hospitalization expenditures. This study assesses gender differentials in distressed financing (borrowing, selling of assets, contributions from relatives or friends) for hospitalization in cases of catastrophic expenditures for hospitalization in India, for young, adult and older adult patients. METHODS: We conducted a cross-sectional analysis of India's 2017-18 National Sample Survey, which collected data on hospitalization and expenditures. We used multivariable probit regression and adjusted marginal effects to assess the associations between gender and the use of distressed financing for catastrophic hospitalization expenditures. Models were stratified by age, and run both with and without sample selection. Secondary analyses assessed gender differentials in the use of distressed financing for hospitalization in case of health insurance cover or not. RESULTS: Multivariable sample selection-adjusted probit regression shows that in households which incurred severe catastrophic hospitalization expenditures, the probability of using distressed financing for hospitalization of young or older females was 10% points lower than their male counterparts. In households which did not incur severe catastrophic hospitalization expenditures, there was no significant gender differential in use of distressed financing for hospitalization for any age group. In households which incurred severe catastrophic hospitalization expenditures, the probability of using distressed financing for hospitalization was lower for older females than for older males irrespective of health insurance cover. CONCLUSION: There appears to be a clear gender discrimination in distressed financing of hospitalization costs among younger and older individuals in households that incurred severe catastrophic hospitalization expenditures in India. Health systems should consider how to otherwise support necessary hospitalization financing for girls and older women.

Universalisation versus targeting in maternal and child health care provisioning: Evidence from India.

To eradicate the persistent inequality in utilisation of Maternal Health Care Services (MHCS), India's Government has adopted various programmes under the National Rural Health Mission (NRHM) in 2005. The Janani Suraksha Yojana (JSY), a demand-side intervention, is one of the flagship programmes under the NRHM. Using two rounds of the nationally representative National Family Health Survey (NFHS) data collected in 2005-06 and 2015-16, respectively, we attempt to map the extent to which inequality in MHCS utilisation has changed over time across states after the implementation of NRHM; analyse whether there are differences in the patterns of inequality prevalent in the universal and targeted states; and find evidence to decide whether universalisation is more effective than targeting in reducing inequality in MHCS utilisation. We measure relative inequality and use the difference in difference technique to answer the research questions. For analysis, we have considered five outcome variables spanning across three stages of the continuum of care in maternal health. We find that relative inequality in MHCS utilisation declined across states during the period 2006-16, though in varying degrees. Universal states experienced a higher level of inequality as compared to the targeted states. However, universal states observed a higher decline in inequality over time relative to the targeted states controlling for other state-level characteristics. The study establishes that the programme implementation strategy and conditional cash transfer programmes influence the reduction of inequality in MHCS utilisation. This study makes an important contribution to the literature on public health policy and inequality in health care utilisation by highlighting the differential impact of universalisation and targeting on reducing inequality in the use of MHCS.

The burden of maternal health care expenditure in India: multilevel analysis of national data.

To quantify the economic burden of maternal health care services on Indian households and examine the levels of expenditure incurred in public and private health care institutions at the national, state and community levels. Cross-sectional population data from the 2004 National Sample Survey Organisation were used, which considered 9,643 households for the analysis where at least one woman received maternal health care services during the year preceding the survey. Multilevel linear regression techniques were used to estimate the effect of household, cluster and state characteristics on the proportion of maternal health care expenditures over total household expenditures. Over 80 % of households reported paying for maternal health care services, with those using private care facilities paying almost 4 times more than those using public facilities. Multilevel analyses show evidence of high burden of maternal health care expenditures, which varied significantly across states according to the level of health care utilisation, and with considerable heterogeneity at the household and community levels. Maternal health care services in India are offered free at the point of delivery, yet many families face significant out-of-pocket expenditures. The recent governmental policy interventions to encourage institutional births by providing nominal financial assistance is a welcome step but this might not help to compensate mothers for other indirect expenditures, especially those living in rural areas and poorer communities who are increasingly seeking care in private facilities.