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©The Author(s) 2025.
World J Diabetes. Aug 15, 2025; 16(8): 107733
Published online Aug 15, 2025. doi: 10.4239/wjd.v16.i8.107733
Published online Aug 15, 2025. doi: 10.4239/wjd.v16.i8.107733
Table 1 Comparing context for digital diabetes care in China and India, 2021-2023
Domain | China | India | Ref. |
Population, 2023 | World Bank Development Indicators[45] | ||
Total population (millions) | 1410 | 1438 | |
Population aged > 65 years (%) | 14.2 | 6.8 | |
GDP per capita (current United States $) | 12614 | 2480 | |
Gini coefficient | 46.5 | 32.8 | |
Diabetes prevalence, 2022 | NCD Risk Factor Collaboration[1] | ||
Adults with diabetes (millions) | 148 | 212 | |
Percentage of global diabetes cases (%) | 18 | 26 | |
Age-adjusted prevalence (%) | 14.3 | 13.9 | |
Rural context, 2021 | World Bank Development Indicators[45] | ||
Rural population (millions) | 499 | 915 | |
Rural population (% of total) | 35.4 | 63.6 | |
Rural population growth (annual%) | -2.9 | 0.11 | |
Digital infrastructure, 2023 | |||
Rate of internet users, national estimates (%) | 77.5 | 51.5 | Statista[46,47] |
Rate of internet users, rural areas estimates (%) | 61.8 | 53 | Cyberspace Administration of China[48], World Bank[49] |
Healthcare System Context, 2021 | WHO Global Health Observatory[44] | ||
Life expectancy at birth | 77.1 | 70.2 | |
Physician density (per 10000 population) | 25.2 | 7.3 | |
Nurse density (per 10000 population) | 33 | 17.3 | |
Out-of-pocket expenditure (% of CHE) | 34 | 50 | |
Government health expenditure (% of GDP) | 2.91 | 1.12 | |
Premature mortality from NCDs (% probability) | 16 | 22 |
- Citation: Rasooly A, Beran D, Ye PP, Joshi S, Yin XJ, Tandon N, Shao RT. Digital health for rural diabetes care: Implementation experience from China and India. World J Diabetes 2025; 16(8): 107733
- URL: https://www.wjgnet.com/1948-9358/full/v16/i8/107733.htm
- DOI: https://dx.doi.org/10.4239/wjd.v16.i8.107733