A Vulnerability Index for Mitigation and Prevention of Diabetes Growth in India: A Disaggregated Analysis
This study aimed to provide a vulnerability index (VI) for identifying vulnerable regions in different states of India, which may serve as a tool for state- and district-level planning for mitigation and prevention of diabetes growth in the country. Using data on 13 indicators under 4 domains, we ge...
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Veröffentlicht in: | Value in health regional issues 2024-03, Vol.40, p.89-99 |
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Zusammenfassung: | This study aimed to provide a vulnerability index (VI) for identifying vulnerable regions in different states of India, which may serve as a tool for state- and district-level planning for mitigation and prevention of diabetes growth in the country.
Using data on 13 indicators under 4 domains, we generated domain-specific and overall VIs at state (36 states/union territories) and district levels (640 districts) using the percentile ranking method. The association of diabetes with individuals’ socioeconomic status at different levels of regional vulnerability has also been observed through multivariable logistic regression models.
On a scale of 0 to 1, there are 13 states with an overall VI of >0.70, of which 5 states are from southern regions of India. A low VI has been achieved by socioeconomically backward states. We observed that prevalence rates and vulnerability levels for most of the top and bottom 11 states are in the same line. District-level analysis showed that the 20 most vulnerable and least vulnerable districts are mostly from coastal and socioeconomically backward states of the country, respectively. Furthermore, logistic regression revealed that rural adults and females are less likely to be diabetic in all vulnerability quartiles. The oldest, Muslims, wealthiest, widowed/deserted/separated, and those with schooling ≤12 years are significantly more likely to be diabetic than their counterparts.
The constructed VI is vital for identifying vulnerable areas and planners and policy-makers may use this comprehensive index and domain-specific VIs to prioritize resource allocation.
•A comprehensive vulnerability index for diabetes is constructed at the state and district levels in India.•Among all states, the southern states mainly from coastal regions of the country, such as Lakshadweep, Puducherry, Kerala, Telangana, and Tamil Nadu, are the most vulnerable. The district-level analysis showed that the top 20 vulnerable districts are also primarily from the coastal states of the country.•On the basis of economic status, better-off states are the most vulnerable in the country. |
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ISSN: | 2212-1099 2212-1102 |
DOI: | 10.1016/j.vhri.2023.09.009 |