Racial and Ethnic Disparities in HIV Diagnosis Rates by Social Determinants of Health at the Census Tract Level among Adults in the United States and Puerto Rico, 2021.


Journal

Journal of acquired immune deficiency syndromes (1999)
ISSN: 1944-7884
Titre abrégé: J Acquir Immune Defic Syndr
Pays: United States
ID NLM: 100892005

Informations de publication

Date de publication:
04 Oct 2024
Historique:
medline: 4 10 2024
pubmed: 4 10 2024
entrez: 4 10 2024
Statut: aheadofprint

Résumé

To compare racial and ethnic disparities in HIV diagnosis rates among adults in census tracts with most disadvantaged vs advantaged levels of social determinants of health (SDOH). In this ecological analysis, we used the National HIV Surveillance System data in 2021 and SDOH data from 2017-2021 American Community Survey. We measured racial and ethnic disparities stratified by sex in the most disadvantaged quartiles and advantaged quartiles for: 1) Poverty 2) Education level 3) Median household income and 4) Insurance coverage. We calculated 8 relative disparity measures (Black-to-White rate ratio [RR], Hispanic/Latino-to-White RR, Index of Disparity [ID], population-weighted ID, Mean Log Deviation, Theil Index, Population Attributable Proportion, Gini coefficient) and 4 absolute disparity measures (Black-to-White rate difference [RD], Hispanic/Latino-to-White RD, absolute ID, and population-weighted absolute ID). Comparing the most disadvantaged quartiles to the most advantaged quartiles, all four absolute disparity measures decreased, but 7 of the 8 relative disparity measures increased: the median percentage decrease in the absolute measures for males and females respectively was 38.1% and 47.6% for poverty, 12.4% and 42.6% for education level, 43.6% and 44.0% for median household income, and 44.2% and 45.4% for insurance coverage. The median percentage increases for the relative measures for males and females respectively were 44.3% and 61.3% for poverty, 54.9% and 95.3% for education level, 19.6% and 90.0% for median household income, and 32.8% and 46.4% for insurance coverage. Racial and ethnic disparities in the most disadvantaged and advantaged quartiles highlight the need for strategies addressing the root causes of disparities.

Sections du résumé

BACKGROUND BACKGROUND
To compare racial and ethnic disparities in HIV diagnosis rates among adults in census tracts with most disadvantaged vs advantaged levels of social determinants of health (SDOH).
METHODS METHODS
In this ecological analysis, we used the National HIV Surveillance System data in 2021 and SDOH data from 2017-2021 American Community Survey. We measured racial and ethnic disparities stratified by sex in the most disadvantaged quartiles and advantaged quartiles for: 1) Poverty 2) Education level 3) Median household income and 4) Insurance coverage. We calculated 8 relative disparity measures (Black-to-White rate ratio [RR], Hispanic/Latino-to-White RR, Index of Disparity [ID], population-weighted ID, Mean Log Deviation, Theil Index, Population Attributable Proportion, Gini coefficient) and 4 absolute disparity measures (Black-to-White rate difference [RD], Hispanic/Latino-to-White RD, absolute ID, and population-weighted absolute ID).
RESULTS RESULTS
Comparing the most disadvantaged quartiles to the most advantaged quartiles, all four absolute disparity measures decreased, but 7 of the 8 relative disparity measures increased: the median percentage decrease in the absolute measures for males and females respectively was 38.1% and 47.6% for poverty, 12.4% and 42.6% for education level, 43.6% and 44.0% for median household income, and 44.2% and 45.4% for insurance coverage. The median percentage increases for the relative measures for males and females respectively were 44.3% and 61.3% for poverty, 54.9% and 95.3% for education level, 19.6% and 90.0% for median household income, and 32.8% and 46.4% for insurance coverage.
CONCLUSION CONCLUSIONS
Racial and ethnic disparities in the most disadvantaged and advantaged quartiles highlight the need for strategies addressing the root causes of disparities.

Identifiants

pubmed: 39363359
doi: 10.1097/QAI.0000000000003541
pii: 00126334-990000000-00519
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest and Source of Funding: The authors have no conflicts of interest to declare. The authors received no financial support for the research, authorship, and/or publication of this article.

Auteurs

Krishna Kiran Kota (KK)

Division of HIV Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Samuel Eppink (S)

Divsion of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Zanetta Gant (Z)

Division of HIV Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Harrell Chesson (H)

Divsion of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Donna Hubbard McCree (DH)

National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Classifications MeSH