Rural-urban comparisons of area-based socioeconomic disadvantage and vulnerability indices

Clicks: 21
ID: 320347
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #38 of 168 articles by views in Health Affairs Scholar

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 168 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Background Policymakers and health systems increasingly rely on area-based socioeconomic disadvantage indices to inform health policy and resource allocation. However, the extent to which indices score the same areas differently across the rural-urban continuum remains poorly understood. Methods We compared five nationwide U.S. indices (2022 versions) at the census tract-level across four rural-urban designations using correlations, reliability testing, and decile score distributions. For the most discordant pair, the Neighborhood Atlas Area Deprivation Index (NA-ADI) and the Social Vulnerability Index (SVI), we used ridge regression and dominance analysis to identify specific items driving index disagreement. Results Disadvantage indices are not interchangeable. NA-ADI’s unstandardized items demonstrated rural-urban and demographic biases. In metropolitan areas, NA-ADI’s over-weighted housing cost and income items masked vulnerability among housing cost-burdened, predominantly urban minority populations, classifying these tracts as low deprivation. Conversely, in non-urban areas, NA-ADI inflated deprivation scores in predominantly white tracts with relatively lower proportions of disadvantage indicators due to inherently lower housing costs. Conclusion NA-ADI’s lack of item standardization risks exacerbating disparities that disadvantage indices aim to alleviate. Transitioning to more methodologically rigorous, transparent indices and developing context-specific rural metrics are urgent imperatives for effective, efficient resource allocation and to address health disparities.
Reference Key
openalex_W7167783466 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal Health Affairs Scholar
Year 2026
DOI
10.1093/haschl/qxag173
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.