Risk of diabetes and expected years in life without diabetes among adults from an urban community in India: findings from a retrospective cohort.

BACKGROUND: Diabetes prevalence has increased over the past few decades, and the shift of the burden of diabetes from the older population to the younger population has increased the exposure of longer durations in a morbid state. The study aimed at ascertaining the likelihood of progression to diabetes and to estimate the onset of diabetes within the urban community of Mumbai. METHODS: This study utilized an observational retrospective non-diabetic cohort comprising 1629 individuals enrolled in a health security scheme. Ten years of data were extracted from electronic medical records, and the life table approach was employed to assess the probability of advancing to diabetes and estimate the expected number of years lived without a diabetes diagnosis. RESULTS: The study revealed a 42% overall probability of diabetes progression, with age and gender variations. Males (44%) show higher probabilities than females (40%) of developing diabetes. Diabetes likelihood rises with age, peaking in males aged 55-59 and females aged 65-69. Males aged 30-34 exhibit a faster progression (10.6 years to diagnosis) compared to females (12.3 years). CONCLUSION: The study's outcomes have significant implications for the importance of early diabetes detection. Progression patterns suggest that younger cohorts exhibit a comparatively slower rate of progression compared to older cohorts.

The lifetime risk of developing type II diabetes in an urban community in Mumbai: findings from a ten-year retrospective cohort study.

BACKGROUND: Incidence and prevalence do not capture the risk of developing diabetes during a defined period and only limited evidence exists on the lifetime risk of diabetes based on longer and continuous follow-up studies in India. Lacunae in evidence on lifetime risk can be attributed primarily to the absence of comprehensive and reliable information on diabetes incidence, mortality rates and lack of longitudinal studies in India. In light of the scarcity of evidence in India, the objective of this study was to estimate the incidence of diabetes and its lifetime risk in an urban community of Mumbai. METHODS: The research study utilized data which is extracted from the electronic medical records of beneficiaries covered under the Contributory Health Service Scheme in Mumbai. The dataset included information on 1652 beneficiaries aged 40 years and above who were non-diabetic in 2011-2012, capturing their visit dates to medical center and corresponding laboratory test results over a span ten years from January, 2012- December, 2021. Survival analysis techniques are applied to estimate the incidence of diabetes. Subsequently, the remaining life years from the life table were utilized to estimate the lifetime risk of diabetes for each gender, stratified by age group. RESULTS: A total of 546 beneficiaries developed diabetes in ten years, yielding an unadjusted incidence rate of 5.3 cases per 1000 person-years (95% CI: 4.9- 5.8 cases/ 1000 person years). The age-adjusted lifetime risk of developing type II diabetes in this urban community is estimated to be 40.3%. Notably, males aged 40 years and above had 41.5% chances of developing diabetes in their lifetime as compared to females with a risk of 39.4%. Moreover, the remaining lifetime risk of diabetes decreased with advancing age, ranging from 26.4% among 40-44 years old to 4.2% among those age 70 years and above. CONCLUSION: The findings stress the significance of recognizing age specific lifetime risk and implementing early interventions to prevent or delay diabetes onset and to focus on diabetes management programs in India.

Health status and associated factors of middle-aged and older adult cancer survivors in India: results from the Longitudinal Ageing Study in India.

BACKGROUND: The number of persons who have survived cancer has been increasing in India as elsewhere due to advances in detection and treatment of this disease. However, evidence on the standardised number of cancer survivors, their characteristics and their complex health challenges on a national level does not exist due to data limitations. This study, therefore, examines the profile of cancer survivors and their health status using the recently released Longitudinal Ageing Study in India (LASI) survey data. METHODS: LASI wave 1 is a cross-sectional nationally representative survey of 65,562 middle and older adults aged 45 and above. We first calculated the socioeconomic, demographic and geographical characteristics of cancer survivors (per 100,000 population). We later estimated the adjusted odds of poor health, sleep problems, depressive symptoms, activities of living limitations (ADL and IADL), and hospitalisation of cancer survivors using multivariable logistic regression analysis. RESULTS: According to LASI estimates, there were 2.1 million cancer survivors in India (95% CI 1.8 million to 2.6 million) in 2017-18. Overall, 440 cancer survivors have been identified in this study, with considerable state variations. The number of cancer survivors per 1,00,000 population was relatively more in non-indigenous groups, people with a history of cancer in their families, those who worked earlier but currently not working and those in the richest quintile categories. As compared to those who never had cancer, the cancer survivors are at higher risk of hospitalisation (adjusted odds ratio (aOR) = 2.61 CI 1.86, 3.67), poor self-rated health (aOR = 3.77, CI 2.55, 5.54), depressive symptoms (aOR = 1.53, CI 1.41, 2.05) and sleep problems (aOR = 2.29, CI 1.50, 3.47). They also reported higher ADL (aOR = 1.61, CI 1.11, 2.34) and IADL (aOR = 1.49, CI 1.07, 2.07) limitations. Cancer survivors who had their cancer diagnosis in the past 2 years or a cancer-related treatment in the past 2 years have significantly higher odds of poor health status than middle-aged and older adults without a cancer history. CONCLUSION: Middle-aged and older cancer survivors, particularly those who underwent cancer diagnosis or treatment in the past 2 years, are at a significantly higher risk of experiencing poor self-reported health and other health challenges, suggesting the need for an integrated healthcare approach.

Gift authorship: Two more contexts.

The emergence of multi-centric studies and collaborative research between institutions within and outside the country, and of research led by authors who are from the same family, has led to notable changes in the production of public health research evidence from India. There is a potential risk of research publications overlooking the well known ICMJE (International Committee of Medical Journal Editors) criteria for authorship, with the provision of gift authorship to researchers who can facilitate faster access to Indian data for such collaborative research. The paper calls for action to reduce the practice of gift authorship in these research settings.

Implementing the WHO Safe Childbirth Checklist: lessons from a global collaboration.

The WHO Safe Childbirth Checklist (SCC) was developed to ensure the delivery of essential maternal and perinatal care practices around the time of childbirth. A research collaboration was subsequently established to explore factors that influence use of the Checklist in a range of settings around the world. This analysis article presents an overview of the WHO SCC Collaboration and the lessons garnered from implementing the Checklist across a diverse range of settings. Project leads from each collaboration site were asked to distribute two surveys. The first was given to end users, and the second to implementation teams to describe their respective experiences using the Checklist. A total of 134 end users and 38 implementation teams responded to the surveys, from 19 countries across all levels of income. End users were willing to adopt the SCC and found it easy to use. Training and the provision of supervision while using the Checklist, alongside leadership engagement and local ownership, were important factors which helped facilitate initial implementation and successful uptake of the Checklist. Teams identified several challenges, but more importantly successfully implemented the WHO SCC. A critical step in all settings was the adaptation of the Checklist to reflect local context and national protocols and standards. These findings were invaluable in developing the final version of the WHO SCC and its associated implementation guide. Our experience will provide useful insights for any institution wishing to implement the Checklist.

The national employment guarantee scheme and inequities in household spending on food and non-food determinants of health in rural India.

INTRODUCTION: Inequities in a population in spending on food and non-food items can contribute to disparities in health status. The Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) was launched in rural India in 2006, aimed at providing at least 100 days of manual work to a member in needy households. METHODS: We used nationally representative data from the consumer expenditure surveys of 2004-05 and 2009-10 and the employment survey of 2009-10 conducted by National Sample Survey Organisation to assess the effect of MGNREGS in reducing inequities in consumption of food and non-food items between poor and non-poor households in the states of India. Variations among the states in implementation of MGNREGS were examined using the employment and unemployment survey data, and compared with official programme data up to 2012-13. Inequity in spending on food and non-food items was assessed using the ratio of monthly per capita consumer expenditure (MPCE) between the most vulnerable (labourer) and least vulnerable categories of households. RESULTS: The survey data suggested 1.42 billion person-days of MGNRGES employment in the 2009-10 financial year, whereas the official programme data reported 2.84 billion person-days. According to the official data, the person-days of MGNRGES employment decreased by 43.3% from 2009-10 to 2012-13 for the 9 large less developed states of India. Survey data revealed that the average number of MGNREGS work days in a year per household varied from 42 days in Rajasthan to less than 10 days in 14 of the 20 major states in India in 2009-10. Rajasthan with the highest implementation of MGNRGES among the 9 less developed states of India had the highest relative decline of 10.4% in the food spending inequity from 2004-05 to 2009-10 between the most vulnerable and less vulnerable households. The changes in inequity for non-food spending did not have any particular pattern across the less developed states. In the most vulnerable category, the households in Rajasthan that got 100 or more days of work in a year under MGNREGS had a 25.9% increase in MPCE. CONCLUSION: MGNREGS seems to have contributed to the reduction in food consumption inequity in rural Rajasthan in 2009-10, and has the potential of making a similar contribution with higher level of implementation of this programme in other states. Non-food consumption inequities benefited less from MGNRGES until 2009-10. The reported decrease in the MGNRGES employment person-days in the less developed states of India from 2009-10 to 2012-13 is of concern.

Social sector expenditure and child mortality in India: a state-level analysis from 1997 to 2009.

BACKGROUND: India is unlikely to meet the Millennium Development Goal for child mortality. As public policy impacts child mortality, we assessed the association of social sector expenditure with child mortality in India. METHODS AND FINDINGS: Mixed-effects regression models were used to assess the relationship of state-level overall social sector expenditure and its major components (health, health-related, education, and other) with mortality by sex among infants and children aged 1-4 years from 1997 to 2009, adjusting for potential confounders. Counterfactual models were constructed to estimate deaths averted due to overall social sector increases since 1997. Increases in per capita overall social sector expenditure were slightly higher in less developed than in more developed states from 1997 to 2009 (2.4-fold versus 2-fold), but the level of expenditure remained 36% lower in the former in 2009. Increase in public expenditure on health was not significantly associated with mortality reduction in infants or at ages 1-4 years, but a 10% increase in health-related public expenditure was associated with a 3.6% mortality reduction (95% confidence interval 0.2-6.9%) in 1-4 years old boys. A 10% increase in overall social sector expenditure was associated with a mortality reduction in both boys (6.8%, 3.5-10.0%) and girls (4.1%, 0.8-7.5%) aged 1-4 years. We estimated 119,807 (95% uncertainty interval 53,409-214,662) averted deaths in boys aged 1-4 years and 94,037 (14,725-206,684) in girls in India in 2009 that could be attributed to increases in overall social sector expenditure since 1997. CONCLUSIONS: Further reduction in child mortality in India would be facilitated if policymakers give high priority to the social sector as a whole for resource allocation in the country's 5-year plan for 2012-2017, as public expenditure on health alone has not had major impact on reducing child mortality.

Inpatient care of the elderly in Brazil and India: assessing social inequalities.

The rapidly growing older adult populations in Brazil and India present major challenges for health systems in these countries, especially with regard to the equitable provision of inpatient care. The objective of this study was to contrast inequalities in both the receipt of inpatient care and the length of time that care was received among adults aged over 60 in two large countries with different modes of health service delivery. Using the Brazilian National Household Survey from 2003 and the Indian National Sample Survey Organisation survey from 2004 inequalities by wealth (measured by income in Brazil and consumption in India) were assessed using concentration curves and indices. Inequalities were also examined through the use of zero-truncated negative binomial models, studying differences in receipt of care and length of stay by region, health insurance, education and reported health status. Results indicated that there was no evidence of inequality in Brazil for both receipt and length of stay by income per capita. However, in India there was a pro-rich bias in the receipt of care, although once care was received there was no difference by consumption per capita for the length of stay. In both countries the higher educated and those with health insurance were more likely to receive care, while the higher educated had longer stays in hospital in Brazil. The health system reforms that have been undertaken in Brazil could be credited as a driver for reducing healthcare inequalities amongst the elderly, while the significant differences by wealth in India shows that reform is still needed to ensure the poor have access to inpatient care. Health reforms that move towards a more public funding model of service delivery in India may reduce inequality in elderly inpatient care in the country.

Utilization of inpatient care from private hospitals: trends emerging from Kerala, India.

BACKGROUND: There is a gap in knowledge on the overall role and characteristics of private health care providers in India. This research is aimed at understanding changes in the consumption of inpatient care services from private hospitals between 1986 and 2004, with a particular focus on equitable outreach. METHODS: Secondary analysis of National Sample Survey data on the utilization of inpatient care services in Kerala is performed for the periods 1986-87, 1995-96 and 2004. Household survey data are examined to understand the users of the private health system as there are limitations in obtaining reliable data from unregulated private health care providers. FINDING: The annual hospitalization rate increased from 69 per 1000 population in 1986-87 to 126 per 1000 population by 2004. The proportion of persons seeking care from private rather than government hospitals increased from 55% in 1986-87 to 65% by 2004. Concentration indices revealed that the year 1995-96 witnessed the highest income inequality in hospitalization rates. A decline both in hospitalization rates and in the relative preference for private hospitals over government hospitals among the poorest two quintiles between 1986-87 and 1995-96 indicates that the poor avoided inpatient treatment. The rich-poor divide in care seeking from private hospitals was moderated by 2004. CONCLUSION: Improvements in the purchasing power of the population, and the strategy of private hospitals in this highly competitive market to generate revenue from the poorer quintiles by offering different pricing options, have reduced the observed rich-poor divide in the consumption of inpatient treatment from this sector. However, while this gap in utilization has closed, the burden of out-of-pocket expenditure is higher among the poor.

Age-specific analysis of reported morbidity in Kerala, India.

This paper attempts to provide a wider understanding of the differentials in reported health status in Kerala, while comparing morbidity in the state with other regions in the Indian subcontinent. Reported morbidity and the duration of life lived with a disease is higher in Kerala. Economic inequalities were found only in late-working ages and the elderly, primarily due to higher prevalence of life style-associated chronic conditions in these two age groups. Significant caste-wise differences among adolescents and prime working ages indicated potential for health problems induced by income deprivation in socially disadvantaged subgroups. Self-reported morbidity was 65% higher than proxy-reported morbidity. Regional differences were significant across all age groups, with high morbidity in the most developed region in the state. Results also suggested the need to factor for self- and proxy-reported status in any analysis of morbidity using similar survey data.

Understanding levels of morbidity and hospitalization in Kerala, India.

The prevalence of ailments and hospitalization in Kerala was examined using data from the 52 nd National Sample Survey Data on Health Care in Kerala in 1995-6. The survey included 24401 people from 4928 households. Age and seasonality had considerable effects on the morbidity of individuals. The burden of ill health was higher in rural areas than in urban areas. People who were more likely to have a better lifestyle had a higher level of morbidity and hospitalization. Regional differences were seen, with levels of morbidity and hospitalization higher in the comparatively developed regions of Southern Kerala than in Northern Kerala. Factors like physical accessibility of health care services and capacity to seek health care services could create artificial differences in morbidity and hospitalization among different subgroups of the population in Kerala.