Self-Determination in Global Health Practices - Voices from the Global South.

Despite the commendable progress made in addressing global health challenges and threats such as child mortality, HIV/AIDS, and Tuberculosis, many global health organizations still exhibit a Global North supremacy attitude, evidenced by their choice of leaders and executors of global health initiatives in low- and middle-income countries (LMICs). While efforts by the Global North to support global health practice in LMICs have led to economic development and advancement in locally led research, current global health practices tend to focus solely on intervention outcomes, often neglecting important systemic factors such as intellectual property ownership, sustainability, diversification of leadership roles, and national capacity development. This has resulted in the implementation of practices and systems informed by high-income countries (HICs) to the detriment of knowledge systems in LMICs, as they are deprived of the opportunity to generate local solutions for local problems. From their unique position as international global health fellows located in different African countries and receiving graduate education from a HIC institution, the authors of this viewpoint article assess how HIC institutions can better support LMICs. The authors propose several strategies for achieving equitable global health practices; 1) allocating funding to improve academic and research infrastructures in LMICs; 2) encouraging effective partnerships and collaborations with Global South scientists who have lived experiences in LMICs; 3) reviewing the trade-related aspects of intellectual property Rights (TRIPS) agreement; and 4) achieving equity in global health funding and education resources.

Identifying determinants of under-five child mortality in northern Togo.

Background: Although global rates of under-five mortality have declined, many low- and middle-income countries (LMICs), including Togo, have not achieved sufficient progress. We aimed to identify the structural and intermediary determinants associated with under-five mortality in northern Togo. Methods: We collected population-representative cross-sectional household surveys adapted from the Demographic Household Survey (DHS) and Multiple Indicator Cluster Survey from women of reproductive age in northern Togo in 2018. The primary outcome was under-five mortality for children born to respondents in the 10-year period prior to the survey. We selected structural and intermediary determinants of health from the World Health Organization Conceptual Framework for Action on the Social Determinants of Health. We estimated associations between determinants and under-five mortality for births in the last 10 years (model 1 and 2) and two years (model 3) using Cox proportional hazards models. Results: Of the 20 121 live births in the last 10 years, 982 (4.80%) children died prior to five years of age. Prior death of a sibling (adjusted hazard ratio (aHR) = 5.02; 95% confidence interval (CI) = 4.23-5.97), maternal ethnicity (i.e. Konkomba, Temberma, Lamba, Losso, or Peul), multiple birth status (aHR = 2.27; 95% CI = 1.78-2.90), maternal age under 25 years (women <19 years: aHR = 2.05; 95% CI = 1.75-2.39; women 20-24 years: aHR = 1.48; 95% CI = 1.29-1.68), lower birth interval (aHR = 1.51; 95% CI = 1.31-1.74), and higher birth order (second or third born: aHR = 1.45; 95% CI = 1.32-1.60; third or later born: aHR = 2.14; 95% CI = 1.74-2.63) were associated with higher hazard of under-five mortality. Female children had lower hazards of under-five mortality (aHR = 0.80; 95% CI = 0.73-0.89). Under-five mortality was also lower for children born in the last two years (n = 4852) whose mothers received any (aHR = 0.48; 95% CI = 0.30-0.78) or high quality (aHR = 0.51; 95% CI = 0.29-0.88) prenatal care. Conclusion: Compared to previous DHS estimates, under-five mortality has decreased in Togo, but remains higher than other LMICs. Prior death of a sibling and several intermediary determinants were associated with a higher risk of mortality, while receipt of prenatal care reduced that risk. These findings have significant implications on reducing disparities related to mortality through strengthening maternal and child health care delivery.

Under-five child mortality and associated factors among tribal populations from a South Indian district.

This paper reports child mortality and associated factors among tribal (indigenous) populations from a South Indian district. In India, 104 million people belonged to 705 tribal groups, constituting 8.6% of India's population. Of the 705 tribal groups, 75 were classified as particularly vulnerable tribal groups (PVTG). The present study aims to report the under-five child mortality among the tribal (both PVTG and non-PVTG) population in Visakhapatnam district, a district with a higher concentration of tribes in the Indian state of Andhra Pradesh. Four sub-districts were selected to conduct a cross-sectional study to understand health and health-seeking behavior, including maternal and child health. Socio-demographic details and obstetric history were collected through a pre-tested, interviewer-administered questionnaire from mothers with a child aged up to one year. These 277 mothers gave birth to 632 liveborn children, out of which 56 children died within 12 months. Multiple logistic regression revealed that living in villages with no health facility, woman-headed households, younger age at first childbirth and mother' aged 30 years or above were significantly associated with mothers experiencing child death. Implementation of home-based neonatal care is crucial in the vulnerability context of the tribes due to socioeconomic conditions and remote habitation. Health educational interventions to address early marriages leading to teenage pregnancies are needed immediately. This disaggregated analysis of under-five mortality and associated factors among the tribes highlights the need for population-specific interventions and improving infrastructural facilities like all-weather roads and improved access to quality healthcare services in addition to the overall socio-economic development.

Health insurance and child mortality: Evidence from India.

Although less than a third of the population in developing countries is covered by health insurance, the number has been on the rise. Many countries have implemented national insurance policies in the past decade. However, there is limited evidence on their impact on child mortality in low- and middle-income contexts. Here we document the child mortality reducing effects of an at-scale national level health insurance policy in India. The Rashtriya Swasthya Bima Yojana (RSBY), was rolled out across India between 2008 and 2013. Leveraging the temporal and spatial variation in program implementation, we demonstrate that it lowered infant mortality by 6% and child under five mortality by 5%. The effects are largely concentrated among urban poor households. In terms of mechanisms, we find that the program effects seem to be driven by increased usage of reproductive health services by mothers. We also demonstrate a rise in usage of complementary health services that were were not covered under the policy (such as child immunizations), which suggests that RSBY had significant positive spillover effects on health care usage.

Racial Inequities in Mortality Rate in Hospitalized Children.

BACKGROUND AND OBJECTIVES: Racial/ethnic inequities for inpatient mortality in children at a national level in the U.S. have not been explored. The objective of this study was to evaluate differences in inpatient mortality rate among different racial/ethnic groups, using the Kids' Inpatient Database. METHODS: A cross-sectional study of children of ages greater than 28 days and less than 21 years discharged during 2012 and 2016. Racial/ethnic groups - White, Black, Hispanic, Asian and Pacific Islander and Native Americans were analyzed in two cohorts, Cohort A (all discharges) and Cohort B (ventilated children). RESULTS: A total of 4,247,604 and 79,116 discharges were included in cohorts A and B, respectively. Univariate analysis showed that the inpatient mortality rate was highest among Asian and Pacific Islander children for both cohorts: A (0.47% [0.42-0.51]), B (10.9% [9.8-12.1]). Regression analysis showed that Asian and Pacific Islander and Black children had increased odds of inpatient mortality compared to White children: A (1.319 [1.162-1.496], 1.178 [1.105-1.257], respectively) and B (1.391 [1.199-1.613], 1.163 [1.079-1.255], respectively). Population-based hospital mortality was highest in Black children (1.17 per 10,000 children). CONCLUSIONS: Inpatient mortality rates are significantly higher in U.S. children of Asian and Pacific Islander and Black races compared to White children. U.S. population-based metrics such as hospitalization rate, ventilation rate, and hospital mortality rate are highest in Black children. Our data suggest that lower median household income alone may not account for a higher inpatient mortality rate. The causes and prevention of racial and ethnic inequities in hospitalized children need to be explored further.

Global health economics: The Equitable Impact Sensitive Tool (EQUIST) - development, validation, implementation and evaluation of impact (2011 to 2022).

Background: The Equitable Impact Sensitive Tool (EQUIST) was developed to address the limitations of the traditional cost-effectiveness analysis (CEA) in global health, which often overlooked equity considerations. Its primary aim was to create more effective and efficient health systems by explicitly incorporating equity as a key driver in health policy decisions. This was done in response to the recognition that, while CEA helped reduce mortality rates through interventions like childhood vaccinations, it was insufficient in addressing growing inequalities in health, especially in low-and-middle-income countries (LMICs). Methods: The development of EQUIST involved a multi-stage process which began in 2011 with the recognition of the need for a more nuanced approach than CEA alone. This led to a proposal for creating a tool that balanced cost-effectiveness with equity. The conceptual framework, developed between March and May 2012, included assessments of intervention efficiency by equity strata, effectiveness, impact, and cost-effectiveness. Key to EQUIST's development was its integration with other data science platforms, notably the Lives Saved Tool and the Marginal Budgeting for Bottlenecks tool, allowing EQUIST to draw on comprehensive data sets and thus enabling a more detailed analysis of health interventions' impacts across different socio-economic strata. Results: EQUIST was validated in 2012 through applications in five representative countries, demonstrating its ability to identify more equitable and cost-effective health interventions which targeted vulnerable populations, leading to more lives saved compared to traditional methods. It was then used to develop investment cases for the Global Financing Facility, resulting in significant funding being made available for maternal and child health programmes. Consequently, EQUIST directly influenced the development of national health policies and resource allocations in over 26 African countries. Conclusions: EQUIST has proven to be a valuable tool in developing health policies that are both cost-effective and equitable. In the future, it will be further integrated with other tools and expanded in scope to address broader health issues, including adolescent health and human immunodeficiency virus/acquired immunodeficiency syndrome programme planning. Overall, EQUIST represents a paradigm shift in global health economics, emphasising the importance of equity alongside cost-effectiveness in health policy decisions. Its development and implementation have had a tangible impact on health outcomes, particularly in LMICs, where it has been instrumental in reducing maternal and child mortality while addressing health inequities.

A global perspective on the governance-health nexus.

BACKGROUND: This study raises two key arguments: First, government health expenditure (GHE) and per capita out-of-pocket expenditures on healthcare (OPEH) are sensitive to contemporary good governance practices, giving policy importance to the exogeneity of healthcare determinants, i.e., governance for health rather than health governance. Second, it is the income level of countries that reflects the volatility of the governance spillovers on the subject. METHODS: The present study constructs a composite governance index (CGI) and employs a set of panel data for 144 countries over the period from 2002 to 2020. To allow comparability and extract specific policy implications, the countries are classified as full, high-, middle-, and low-income panels. Meanwhile to delve into the short- and long-run effects of CGI on GHE and OPEH, the study employs the cross-sectionally augmented autoregressive distributed lags (CS-ARDL) model. Further, to establish a causal link between the variables, it uses the Dumitrescu-Hurlin panel causality technique. RESULTS: The results indicate that CGI is significantly cointegrated with GHE and OPEH in all recipient panels. It indicates that while CGI has significantly positive impacts on GHE and OPEH, its effects vary according to the income level of the underlying economies. The findings support the idea of governance for health and show that CGI drives the stabilization and enhancement of GHE and OPEH in the long run. Furthermore, the findings reveal that economic growth, the age dependency ratio, and tax revenue have positive effects, while the crude death rate and the child mortality rate exert negative impacts on the subject. Finally, the results highlight a unidirectional causality running from CGI to GHE and OPEH, while no feedback response is evident. CONCLUSIONS: Although an increase in GHE and OPEH is associated with the improvement of the population's healthcare, the results suggest the recognition of the importance and institutionalization of good governance to streamline this improvement through effective channelization, outreach, and social environment development for extensive health inclusion.

Understanding the social determinants of child mortality in Latin America over the last two decades: a machine learning approach.

The reduction of child mortality rates remains a significant global public health challenge, particularly in regions with high levels of inequality such as Latin America. We used machine learning (ML) algorithms to explore the relationship between social determinants and child under-5 mortality rates (U5MR) in Brazil, Ecuador, and Mexico over two decades. We created a municipal-level cohort from 2000 to 2019 and trained a random forest model (RF) to estimate the relative importance of social determinants in predicting U5MR. We conducted a sensitivity analysis training two more ML models and presenting the mean square error, root mean square error, and median absolute deviation. Our findings indicate that poverty, illiteracy, and the Gini index were the most important variables for predicting U5MR according to the RF. Furthermore, non-linear relationships were found mainly for Gini index and U5MR. Our study suggests that long-term public policies to reduce U5MR in Latin America should focus on reducing poverty, illiteracy, and socioeconomic inequalities. This research provides important insights into the relationships between social determinants and child mortality rates in Latin America. The use of ML algorithms, combined with large longitudinal data, allowed us to evaluate the effects of social determinants on health more carefully than traditional models.

Association between light at night and the risk of child death in sub-saharan Africa: a cross-sectional analysis based on DHS data.

BACKGROUND: The high under-five mortality rate (U5MR) in Africa is a significant public health concern. Previous studies have found that satellite retrieved light at night (LAN) data with long-term and global coverage can be used as a proxy for socio-economic development and urbanization. Currently, few studies on the effects of LAN on child mortality have been conducted in Africa, a region with varying levels of urbanization between countries. OBJECTIVE: To quantify the correlation between risk of child mortality and LAN as an indicator of urbanization and economic development in Africa. METHODS: Using data from the Demographic and Health Survey (DHS) database conducted in 15 African countries out of 46 countries from 2005 to 2013, this study estimated LAN levels for children based on their year of birth and residential addresses. This study used Cox proportional hazards models to assess the association between LAN and the risk of child mortality in Africa. RESULTS: The mean U5MR was 95 per 1,000 livebirths among the 15 African countries during 2005-2013. After adjusting for covariates, each 10-unit increment in LAN was associated with a 5.3% reduction in the risk of U5MR. The effect estimates were more pronounced in areas with lower LAN. CONCLUSION: In Africa, the risk of U5MR decreased with increasing LAN, especially in areas with lower LAN. The results suggest that the development of urbanization and socio-economic conditions may be beneficial to child health, especially in regions with low LAN. The use of LAN as a proxy may offer an intriguing approach for identifying areas requiring targeted development in urbanization and socio-economic conditions.

Understanding inequities in child mortality in Egypt: Socioeconomic and proximate factors.

While there have been notable advancements in child health in Egypt, disparities in child mortality still exist. Understanding these disparities is crucial to addressing them. The objective of this study is to explore the factors linked to child mortality in Egypt, providing a comprehensive understanding of the disparities in child mortality rates. The study utilises cross-sectional data from Egypt's Demographic and Health Survey (EDHS) in 2014 to examine child mortality. The dataset consists of 15,848 observations from mothers with children born within five years prior to the survey. The choice of explanatory variables was guided by the Mosely and Chen Framework and logistic multivariate regression was used to conduct the analyses. The study finds lower education, early childbearing, insufficient birth spacing, lack of breastfeeding, and absence of improved toilet facilities (proxy for living conditions) were all significantly linked to an increased likelihood of child loss. Additionally, poorer people in rural settings experienced the worst child mortality. The findings align with the World Health Organization's Conceptual Framework for Action on the Social Determinants of Health (CSDH). Recommended policy interventions include targeting women in rural areas, improving living conditions and removing financial/other barriers to accessing care.

Trends, influencing factors and prediction analysis of under-five and maternal mortality rates in China from 1991 to 2020.

Introduction: Under-five mortality rate (U5MR) and maternal mortality rate (MMR) are important indicators for evaluating the quality of perinatal health and child health services in a country or region, and are research priorities for promoting maternal and infant safety and maternal and child health. This paper aimed to analysis and predict the trends of U5MR and MMR in China, to explore the impact of social health services and economic factors on U5MR and MMR, and to provide a basis for relevant departments to formulate relevant policies and measures. Methods: The JoinPoint regression model was established to conduct time trend analysis and describe the trend of neonatal mortality rate (NMR), infant mortality rate (IMR), U5MR and MMR in China from 1991 to 2020. The linear mixed effect model was used to assess the fixed effects of maternal health care services and socioeconomic factors on U5MR and MMR were explored, with year as a random effect to minimize the effect of collinearity. Auto regressive integrated moving average models (ARIMA) were built to predict U5MR and MMR from 2021 to 2025. Results: The NMR, IMR, U5MR and MMR from 1991 to 2020 in China among national, urban and rural areas showed continuous downward trends. The NMR, IMR, U5MR and MMR were significantly negatively correlated with gross domestic product (GDP), the proportion of the total health expenditure (THE) to GDP, system management rate, prenatal care rate, post-natal visit rate and hospital delivery rate. The predicted values of national U5MR from 2021 to 2025 were 7.3 ‰, 7.2 ‰, 7.1 ‰, 7.1 ‰ and 7.2 ‰ and the predicted values of national MMR were 13.8/100000, 12.1/100000, 10.6/100000, 9.6/100000 and 8.3/100000. Conclusion: China has made great achievements in reducing the U5MR and MMR. It is necessary for achieving the goals of Healthy China 2030 by promoting the equalization of basic public health services and further optimizing the allocation of government health resources. China's experience in reducing U5MR and MMR can be used as a reference for developing countries to realize the SDGs.

[Infant and child mortality in Palestine]. / Mortalité infanto-juvénile en Palestine.

The infant mortality rate (children under five) in Palestine is 21 deaths per 1,000 live births. Palestine has thus successfully reached the threshold set by the Millennium Development Goals for child mortality. However, this rate is higher than in neighboring countries. This indicator is extremely important as it is a highly sensitive indirect measure of population health, poverty and socio-economic development status, as well as the availability and quality of health services in a country. These are all factors that still present challenges in Palestine.

Child mortality inequalities and socioeconomic determinants of health in Iran, 2016-2018.

Measuring health inequalities is essential to inform policy making and for monitoring implementation to reduce avoidable and unfair differences in health status. We conducted a geospatial analysis of child mortality in Iran using death records from the Ministry of Health and Medical Education from 2016 to 2018 stratified by sex, age, province, and district, and household expenditure and income survey data from the Statistical Center of Iran collected in 2017. We applied multilevel mixed-effect models and detected significant inequality in child mortality and the impact of socioeconomic factors, especially household income. We advocate for using mortality rate for young children (< 5 years old) as an indicator for assessing the impact of interventions to reduce inequalities among various socioeconomic groups. We also recommend to design and implement comprehensive and longitudinal data collection systems for accurate, regular, and specific monitoring of health inequalities.

Neonatal, Infant, and Child Mortality in India: Progress and Future Directions.

In India, considerable progress has been made in reducing child mortality rates. Despite this achievement, wide disparities persist across and socio-economic strata, and persistent challenges, such as malnutrition, poor sanitation, and lack of clean water. This paper provides a comprehensive review of the state of child health in India, examining key risk factors and causes of child mortality, assessing the coverage of child health interventions, and highlighting critical public health programs and policies. The authors also discuss future directions and recommendations for bolstering ongoing efforts to improve child health. These include state- and region-specific interventions, prioritizing social determinants of health, strengthening data systems, leveraging existing programs like the National Health Mission (NHM) and Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (PM-JAY), and the proposed Public Health Management Cadre (PHMC). The authors argue that reducing child mortality requires not only scaled-up interventions but a comprehensive approach that addresses all dimensions of health, from social determinants to system strengthening.

Emergency Department Pediatric Readiness and Disparities in Mortality Based on Race and Ethnicity.

Importance: Presentation to emergency departments (EDs) with high levels of pediatric readiness is associated with improved pediatric survival. However, it is unclear whether children of all races and ethnicities benefit equitably from increased levels of such readiness. Objective: To evaluate the association of ED pediatric readiness with in-hospital mortality among children of different races and ethnicities with traumatic injuries or acute medical emergencies. Design, Setting, and Participants: This cohort study of children requiring emergency care in 586 EDs across 11 states was conducted from January 1, 2012, through December 31, 2017. Eligible participants included children younger than 18 years who were hospitalized for an acute medical emergency or traumatic injury. Data analysis was conducted between November 2022 and April 2023. Exposure: Hospitalization for acute medical emergency or traumatic injury. Main Outcomes and Measures: The primary outcome was in-hospital mortality. ED pediatric readiness was measured through the weighted Pediatric Readiness Score (wPRS) from the 2013 National Pediatric Readiness Project assessment and categorized by quartile. Multivariable, hierarchical, mixed-effects logistic regression was used to evaluate the association of race and ethnicity with in-hospital mortality. Results: The cohort included 633 536 children (median [IQR] age 4 [0-12] years]). There were 557 537 children (98 504 Black [17.7%], 167 838 Hispanic [30.1%], 311 157 White [55.8%], and 147 876 children of other races or ethnicities [26.5%]) who were hospitalized for acute medical emergencies, of whom 5158 (0.9%) died; 75 999 children (12 727 Black [16.7%], 21 604 Hispanic [28.4%], 44 203 White [58.2%]; and 21 609 of other races and ethnicities [27.7%]) were hospitalized for traumatic injuries, of whom 1339 (1.8%) died. Adjusted mortality of Black children with acute medical emergencies was significantly greater than that of Hispanic children, White children, and of children of other races and ethnicities (odds ratio [OR], 1.69; 95% CI, 1.59-1.79) across all quartile levels of ED pediatric readiness; but there were no racial or ethnic disparities in mortality when comparing Black children with traumatic injuries with Hispanic children, White children, and children of other races and ethnicities with traumatic injuries (OR 1.01; 95% CI, 0.89-1.15). When compared with hospitals in the lowest quartile of ED pediatric readiness, children who were treated at hospitals in the highest quartile had significantly lower mortality in both the acute medical emergency cohort (OR 0.24; 95% CI, 0.16-0.36) and traumatic injury cohort (OR, 0.39; 95% CI, 0.25-0.61). The greatest survival advantage associated with high pediatric readiness was experienced for Black children in the acute medical emergency cohort. Conclusions and Relevance: In this study, racial and ethnic disparities in mortality existed among children treated for acute medical emergencies but not traumatic injuries. Increased ED pediatric readiness was associated with reduced disparities; it was estimated that increasing the ED pediatric readiness levels of hospitals in the 3 lowest quartiles would result in an estimated 3-fold reduction in disparity for pediatric mortality. However, increased pediatric readiness did not eliminate disparities, indicating that organizations and initiatives dedicated to increasing ED pediatric readiness should consider formal integration of health equity into efforts to improve pediatric emergency care.

Geographic disparities in the time to under-five mortality in Ghana.

Globally, there has been tremendous advancement in medicine and child healthcare with increased life expectancy. That notwithstanding, the risk of under-five mortality ─ children dying before their fifth birthday remains relatively high in countries in Sub-Saharan Africa such as Ghana. In Ghana, under-five mortality remains a major public health problem that requires significant policy interventions. Using data from the 2017 Maternal Health Survey (n = 4785), we examined the geographic disparities in the time to under-five mortality in Ghana. The Kaplan Meier estimator showed significant (Log-rank: p< 0.001) rural-urban differences in the time to under-five mortality in Ghana. A disaggregated cox proportional hazards analysis showed that despite wide consensus that children in urban areas have a high survival rate, children in urban areas in northern regions of Ghana, especially the Upper West (HR = 4.40, p < 0.05) and Upper East (HR = 5.37, p < 0.01) Regions were significantly at increased risk of dying before the age of five compared to children in urban areas in the Greater Accra Region. A rural-urban comparison showed that children born in rural areas in all the other regions of Ghana were at a higher risk of dying before the age of five when compared to their counterparts in the rural areas of Greater Accra Region. Other factors such as sex of child, mothers' age and use of the internet, number of household members, ethnicity and household wealth were significantly associated with the timing of under-five mortality in Ghana. Healthcare policies and programs such as immunizations and affordable child healthcare services should be prioritized especially in rural areas of regions with a high risk of child mortality. Also, there is a need to improve healthcare delivery in urban areas, particularly in northern Ghana, where deplorable healthcare service infrastructure and delivery coupled with high poverty rates put children at risk of dying before their fifth birthday.

How do remittances impact child mortality and are there preconditions?

While recent research suggests that remittances affect child mortality, little is known about how remittances influence this outcome and what conditions may moderate its effectiveness. This article investigates whether and how remittances affect child mortality in developing countries. We examine the impact of remittances on the three leading causes of child mortality, explore potential channels through which this may occur and examine whether socioeconomic or political factors affect the remittances-mortality relationship. Using data for 122 developing countries over the period 2003-2018 and a dynamic panel estimator, with both internal instruments and a shift-share external instrument, we find that remittances reduce child mortality from diarrheal diseases. Our findings suggest that sanitation usage is a possible channel through which remittances affect diarrheal mortality. We also find that the mortality-reducing effect of remittances does not appear to be contingent on the level of governance or health infrastructure. However, it remains unclear whether the effect is influenced by other forms of health funding. These findings suggest that remittances serve an important role in improving child health, and the effectiveness of these inflows is not reliant on onerous preconditions being met. Thus, remittances may be important to public health dialogue, especially in developing countries where diarrheal diseases are prevalent.

Reducing infant and child mortality: assessing the social inclusiveness of child health care policies and programmes in three states of India.

BACKGROUND: Even though the overall infant mortality rate and child mortality rate have considerably declined in India, the marginalised groups-Scheduled Caste, and Scheduled Tribe, continue to have higher mortality rates. This study looks at the changes in IMR and CMR amongst disadvantaged and advanced social groups at the national level and in three states of India. DATA AND METHODS: Data from five rounds of National Family Health Survey spanning nearly three decades have been used to measure IMR and CMR according to the social groups for India and for selected states-Bihar, West Bengal, and Tamil Nadu. The relative hazard curves were drawn to understand which social group's children face a higher risk of dying in the first year of birth and between first year and age four in those three states. Further, a log-rank test was applied to examine whether the differences between the survival curves or distributions of the three social groups are statistically significant. Finally, the binary logit regression model was applied to investigate the effect of ethnicity, and other socio-economic and demographic covariates on the risk of infant and child deaths (1-4 years) in the country and in selected states. RESULTS: Hazard curve shows the probability of death within one year of birth was highest among the children belonging to the ST families, followed by SCs in India. And, the CMR was found to be higher amongst the STs compared to all other social groups as well at the national level. While Bihar had a remarkably high infant and child mortality rates, Tamil Nadu possessed the lowest child death rates irrespective of class, caste, and religion. The regression model revealed that most of the caste/tribe gaps in infant and child deaths might be attributed to the place of residence, mother's level of education, economic status, and the number of children in a family. Notably, the multivariate analysis showed that ethnicity was an independent risk factor, when controlled for socioeconomic status. CONCLUSION: The study detects the persistence of significant caste/tribe differentials in infant and child mortality in India. Poverty, education and health care access issues could be the possible reasons for the premature deaths of the children from deprived castes and tribes. There is a need to critically analyse the current health programmes aimed at reducing IMR and CMR to make them attuned to the needs of the marginalised communities.

Segregation was already hurting Black health 100 years ago.

Research links structural racism of 1900s U.S. society to striking disparities in childhood mortality.

The effects of cash transfers on adult and child mortality in low- and middle-income countries.

Poverty is an important social determinant of health that is associated with increased risk of death1-5. Cash transfer programmes provide non-contributory monetary transfers to individuals or households, with or without behavioural conditions such as children's school attendance6,7. Over recent decades, cash transfer programmes have emerged as central components of poverty reduction strategies of many governments in low- and middle-income countries6,7. The effects of these programmes on adult and child mortality rates remains an important gap in the literature, however, with existing evidence limited to a few specific conditional cash transfer programmes, primarily in Latin America8-14. Here we evaluated the effects of large-scale, government-led cash transfer programmes on all-cause adult and child mortality using individual-level longitudinal mortality datasets from many low- and middle-income countries. We found that cash transfer programmes were associated with significant reductions in mortality among children under five years of age and women. Secondary heterogeneity analyses suggested similar effects for conditional and unconditional programmes, and larger effects for programmes that covered a larger share of the population and provided larger transfer amounts, and in countries with lower health expenditures, lower baseline life expectancy, and higher perceived regulatory quality. Our findings support the use of anti-poverty programmes such as cash transfers, which many countries have introduced or expanded during the COVID-19 pandemic, to improve population health.