ArticleBMC geriatrics2017
Diabetes mellitus medication use and catastrophic healthcare expenditure among adults aged 50+ years in China and India: results from the WHO study on global AGEing and adult health (SAGE).
Article in BMC geriatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Inequality in prevalence of unmedicated hypertension or diabetes among older Filipinos: analysis of nationally representative survey data.International journal of cardiology. Cardiovascular risk and prevention · 2026Article
- Cost of type 2 diabetes mellitus management for households in Northern India - an econometric analysis.BMC health services research · 2025Observational
- Catastrophic health expenditure and associated factors among adult diabetes patients at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia.BMC health services research · 2025Article
- Public patient forwarding to private pharmacies: an analysis of data linking patients, facilities and pharmacies in the state of Odisha, India.BMJ global health · 2025Article
- Elderly Patients with Tuberculosis Combined with Diabetes Mellitus: A Comprehensive Analysis of Lymphocyte Subpopulation Dynamics, Clinical Features, Drug Resistance and Disease Regression.International journal of general medicine · 2025Article
- Determinants of out-of-pocket expenditure on medicines among adults in Saudi Arabia: a cross-sectional study.Frontiers in medicine · 2024Article
- Out-of-pocket expenditure among patients with diabetes in Bangladesh: A nation-wide population-based study.Health policy OPEN · 2023Article
- Catastrophic health expenditure and its inequality in rural China: based on longitudinal data from 2013 to 2018.BMC public health · 2023Article
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- Catastrophic health expenditure on private sector pharmaceuticals: a cross-sectional analysis from the state of Odisha, India.Health policy and planning · 2022Article
- Global disease burden of stroke attributable to high fasting plasma glucose in 204 countries and territories from 1990 to 2019: An analysis of the Global Burden of Disease Study.Journal of diabetes · 2022Article
- Financial risk protection from out-of-pocket health spending in low- and middle-income countries: a scoping review of the literature.Health research policy and systems · 2022Article
- Using artificial intelligence reading label system in diabetic retinopathy grading training of junior ophthalmology residents and medical students.BMC medical education · 2022Article
- Catastrophic Health Expenditure and Mental Health in the Older Chinese Population: The Moderating Role of Social Health Insurance.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022Article
- Financial protection effects of private health insurance: experimental evidence from Chinese households with resident basic medical insurance.International journal for equity in health · 2021Article
- Urban-rural differences in catastrophic health expenditure among households with chronic non-communicable disease patients: evidence from China family panel studies.BMC public health · 2021Article
- Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.Progress in retinal and eye research · 2021Review
- Socio-Economic and Rural-Urban Differences in Healthcare and Catastrophic Health Expenditure Among Cancer Patients in China: Analysis of the China Health and Retirement Longitudinal Study.Frontiers in public health · 2021Article
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Abstract
backgroundExpenditure on medications for highly prevalent chronic conditions such as diabetes mellitus (DM) can result in financial impoverishment. People in developing countries and in low socioeconomic status groups are particularly vulnerable. China and India currently hold the world's two largest DM populations. Both countries are ageing and undergoing rapid economic development, urbanisation and social change. This paper assesses the determinants of DM medication use and catastrophic expenditure on medications in older adults with DM in China and India.
methodsUsing national standardised data collected from adults aged 50 years and above with DM (self-reported) in China (N = 773) and India (N = 463), multivariable logistic regression describes: 1) association between respondents' socio-demographic and health behavioural characteristics and the dependent variable, DM medication use, and 2) association between DM medication use (independent variable) and household catastrophic expenditure on medications (dependent variable) (China: N = 630; India: N = 439). The data source is the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 1 (2007-2010).
resultsPrevalence of DM medication use was 87% in China and 71% in India. Multivariable analysis indicates that people reporting lifestyle modification were more likely to use DM medications in China (OR = 6.22) and India (OR = 8.45). Women were more likely to use DM medications in China (OR = 1.56). Respondents in poorer wealth quintiles in China were more likely to use DM medications whereas the reverse was true in India. Almost 17% of people with DM in China experienced catastrophic healthcare expenditure on medications compared with 7% in India. Diabetes medication use was not a statistically significant predictor of catastrophic healthcare expenditure on medications in either country, although the odds were 33% higher among DM medications users in China (OR = 1.33).
conclusionsThe country comparison reflects major public policy differences underpinned by divergent political and ideological frameworks. The DM epidemic poses huge public health challenges for China and India. Ensuring equitable and affordable access to medications for DM is fundamental for healthy ageing cohorts, and is consistent with the global agenda for universal healthcare coverage.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.