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Background: As child mortality decreases rapidly worldwide, premature adult mortality is becoming an increasingly important contributor to global mortality. Any possible worldwide reduction of premature adult mortality before the age of 70 years will depend on progress in India. Indian districts increasingly have responsibility for implementing public health programmes. We aimed to assess age-specific and sex-specific adult mortality risks in India at the district level. Methods: We analysed data from five national surveys of 0·27 million adult deaths at an age of 15–69 years together with 2014 demographic data to estimate age-specific and sex-specific adult mortality risks for 597 districts. Cause of death data were drawn from the verbal autopsies in the Registrar General of India's ongoing Million Death Study. Findings: In 2014, about two-fifths of India's men aged 15–69 years lived in the 253 districts where the conditional probability of a man dying at these ages exceeded 50%, and more than a third of India's women aged 15–69 years lived in the 222 districts where the conditional probability of a woman dying exceeded 40%. The probabilities of a man or woman dying by the age of 70 years in high-mortality districts was 62% and 54%, respectively, whereas the probability of a man or woman dying by the age of 70 years in low-mortality districts was 40% and 30%, respectively. The roughly 10-year survival gap between high-mortality and low-mortality districts was nearly as extreme as the survival gap between the entire Indian population and people living in high-income countries. Adult mortality risks at ages 15–69 years was highest in east India and lowest in west India, by contrast with the north–south divide for child mortality. Vascular disease, tuberculosis, malaria and other infections, and respiratory diseases accounted for about 60% of the absolute gap in adult mortality risk at ages 15–69 years between high-mortality and low-mortality districts. Most of the variation in adult mortality could not be explained by known determinants or risk factors for premature mortality. Interpretation: India's large variation in adult mortality by district, notably the higher death rates in eastern India, requires further aetiological research, particularly to explore whether high levels of adult mortality risks from infections and non-communicable diseases are a result of historical childhood malnutrition and infection. Such research can be complemented by an expanded coverage of known effective interventions to reduce adult mortality, especially in high-mortality districts. Funding: National Institutes of Health, Canadian Institutes of Health Research, University of Toronto.

Background: Few population-based studies quantify mortality from surgical conditions and relate mortality to access to surgical care in low-income and middle-income countries. Methods: We linked deaths from acute abdominal conditions within a nationally representative, population-based mortality survey of 1·1 million households in India to nationally representative facility data. We calculated total and age-standardised death rates for acute abdominal conditions. Using 4064 postal codes, we undertook a spatial clustering analysis to compare geographical access to well-resourced government district hospitals (24 h surgical and anaesthesia services, blood bank, critical care beds, basic laboratory, and radiology) in high-mortality or low-mortality clusters from acute abdominal conditions. Findings: 923 (1·1%) of 86 806 study deaths at ages 0–69 years were identified as deaths from acute abdominal conditions, corresponding to 72 000 deaths nationally in 2010 in India. Most deaths occurred at home (71%) and in rural areas (87%). Compared with 567 low-mortality geographical clusters, the 393 high-mortality clusters had a nine times higher age-standardised acute abdominal mortality rate and significantly greater distance to a well-resourced hospital. The odds ratio (OR) of being a high-mortality cluster was 4·4 (99% CI 3·2–6·0) for living 50 km or more from well-resourced district hospitals (rising to an OR of 16·1 [95% CI 7·9–32·8] for >100 km). No such relation was seen for deaths from non-acute surgical conditions (ie, oral, breast, and uterine cancer). Interpretation: Improvements in human and physical resources at existing government hospitals are needed to reduce deaths from acute abdominal conditions in India. Full access to well-resourced hospitals within 50 km by all of India's population could have avoided about 50 000 deaths from acute abdominal conditions, and probably more from other emergency surgical conditions. Funding: Bill & Melinda Gates Foundation, Dalla Lana School of Public Health, Canadian Institute of Health Research.

Background: In China, there are more than 300 million male smokers. Tobacco taxation reduces smoking-related premature deaths and increases government revenues, but has been criticised for disproportionately affecting poorer people. We assess the distributional consequences (across different wealth quintiles) of a specific excise tax on cigarettes in China in terms of both financial and health outcomes. Methods: We use extended cost-effectiveness analysis methods to estimate, across income quintiles, the health benefits (years of life gained), the additional tax revenues raised, the net financial consequences for households, and the financial risk protection provided to households, that would be caused by a 50% increase in tobacco price through excise tax fully passed onto tobacco consumers. For our modelling analysis, we used plausible values for key parameters, including an average price elasticity of demand for tobacco of −0·38, which is assumed to vary from −0·64 in the poorest quintile to −0·12 in the richest, and we considered only the male population, which constitutes the overwhelming majority of smokers in China. Findings: Our modelling analysis showed that a 50% increase in tobacco price through excise tax would lead to 231 million years of life gained (95% uncertainty range 194–268 million) over 50 years (a third of which would be gained in the lowest income quintile), a gain of US$703 billion ($616–781 billion) of additional tax revenues from the excise tax (14% of which would come from the lowest income quintile, compared with 24% from the highest income quintile). The excise tax would increase overall household expenditures on tobacco by $376 billion ($232–505 billion), but decrease these expenditures by $21 billion (−$83 to $5 billion) in the lowest income quintile, and would reduce expenditures on tobacco-related disease by $24·0 billion ($17·3–26·3 billion, 28% of which would benefit the lowest income quintile). Finally, it would provide financial risk protection worth $1·8 billion ($1·2–2·3 billion), mainly concentrated (74%) in the lowest income quintile. Interpretation: Increased tobacco taxation can be a pro-poor policy instrument that brings substantial health and financial benefits to households in China. Funding: Bill & Melinda Gates Foundation and Dalla Lana School of Public Health.

Background: India has the largest number of child deaths of any country in the world, and has wide local variation in under-5 mortality. Worldwide achievement of the UN 2015 Millennium Development Goal for under-5 mortality (MDG 4) will depend on progress in the subregions of India. We aimed to estimate neonatal, 1–59 months, and overall under-5 mortality by sex for 597 Indian districts and to assess whether India is on track to achieve MDG 4. Methods: We divided the 2012 UN sex-specific birth and mortality totals for India into state totals using relative birth rates and mortality from recent demographic surveys of 24 million people, and divided state totals into totals for the 597 districts using 3 million birth histories. We then split the results into neonatal mortality and 1–59 month mortality using data for 109 000 deaths in children younger than 5 years from six national surveys. We compared results with the 2001 census for each district. Findings: Under-5 mortality fell at a mean rate of 3·7% (IQR 3·2–4·9) per year between 2001 and 2012. 222 (37%) of 597 districts are on track to achieve the MDG 4 of 38 deaths in children younger than 5 years per 1000 livebirths by 2015, but an equal number (222 [37%]) will achieve MDG 4 only after 2020. These 222 lagging districts are home to 41% of India's livebirths and 56% of all deaths in children younger than 5 years. More districts lag behind the relevant goal for neonatal mortality (251 [42%]) than for 1–59 month mortality (197 [33%]). Just 81 (14%) districts account for 37% of deaths in children younger than 5 years nationally. Female mortality at ages 1–59 months exceeded male mortality by 25% in 303 districts in nearly all states of India, totalling about 74 000 excess deaths in girls. Interpretation: At current rates of progress, MDG 4 will be met by India around 2020—by the richer states around 2015 and by the poorer states around 2023. Accelerated progress to reduce mortality during the neonatal period and at ages 1–59 months is needed in most Indian districts. Funding: Disease Control Priorities 3, Canadian Institutes of Health Research, International Development Research Centre, US National Institutes of Health.

Progress toward the United Nations 2030 Sustainable Development Goals requires improved information on mortality and causes of death. However, causes of many of the fifty million annual deaths in low- and middle-income countries remain unknown, as most of the deaths occur at home without medical attention. In 2001 India began the Million Death Study in 1.3 million nationally representative households. Nonmedical staff conduct verbal autopsies, which are structured interviews including a half-page narrative in local language of the family's story of the symptoms and events leading to death. Two physicians independently assess each death to arrive at an underlying cause of death. The study has thus far yielded information that substantially altered previous estimates of cause-specific mortality and risk factors in India. Similar robust studies are feasible at low cost in other low- and middle-income countries, particularly if they adopt electronic data management and ensure high quality of fieldwork and physician coding. Nationwide mortality studies enable the quantification of avoidable premature mortality and key risk factors for disease, and provide a practicable method to monitor progress toward the Sustainable Development Goals.