Abstract
Background
Efficient allocation of healthcare resources requires a comprehensive evaluation of healthcare spending and its impact on disease burden. This study aims to estimate the costs-per disability-adjusted life years (DALY) in India. Data from 2010 to 2019 on DALYs and health expenditure per capita (HEp) for individual states in India were utilised.
Design and Methods
We followed the CHEERS statement 2022 to present our study’s methodology and outcomes. Pearson’s product-moment correlations were used to analyse associations between DALYs and HEp. A panel regression analysis was conducted using a log regression model to estimate changes in DALYs due to health expenditure changes. All costs are reported in Indian rupee (₹) along with its 95% CI, with a conversion factor of 1 US$ = ₹82.4 applied.
Results
The costs-per-DALY were estimated for each state and India. DALY was negatively correlated with HEp. The estimated mean cost-per-DALY for India was ₹82,112 (₹55,810 to ₹1,08,413) [$997 ($667 to $1316)]. The mean cost per-DALY varied across states, with value of ₹27,058 (₹22,250 to ₹31,866) [$328 ($270 to $387)] for states in the first quartile based on Human Development Index (HDI) and ₹2,69,175 (₹1,05,946 to ₹4,32,404) [$3267 ($1286 to $5248)] for those in fourth HDI quartile. States such as Gujarat (0.16), Karnataka (0.17) and Maharashtra (0.22) have lower, and Arunachal Pradesh has the highest cost-per-DALY to Gross state domestic product per-capita ratio (2.41), followed by Nagaland (1.45).
Conclusion
Higher healthcare investment has a lower disease burden; however, reduction in DALY varies across states. Study findings provide evidence to aid the setting up of differential willingness-to-pay thresholds across Indian states for efficient and equitable healthcare resource allocation.
Data Sharing Statement
All data files from the current study are publicly available. If necessary, the same data can be obtained from the corresponding author upon prior request.
Author Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
Disclosure
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.