Social Determinants of Health Data Quality at Different Levels of Geographic Detail.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
18 May 2023
Historique:
medline: 22 5 2023
pubmed: 19 5 2023
entrez: 19 5 2023
Statut: ppublish

Résumé

Social determinants of health (SDOH) impact 80% of health outcomes from acute to chronic disorders, and attempts are underway to provide these data elements to clinicians. It is, however, difficult to collect SDOH data through (1) surveys, which provide inconsistent and incomplete data, or (2) aggregates at the neighborhood level. Data from these sources is not sufficiently accurate, complete, and up-to-date. To demonstrate this, we have compared the Area Deprivation Index (ADI) to purchased commercial consumer data at the individual-household level. The ADI is composed of income, education, employment, and housing quality information. Although this index does a good job of representing populations, it is not adequate to describe individuals, especially in a healthcare context. Aggregate measures are, by definition, not sufficiently granular to describe each individual within the population they represent and may result in biased or imprecise data when simply assigned to the individual. Moreover, this problem is generalizable to any community-level element, not just ADI, in so far as they are an aggregate of the individual community members.

Identifiants

pubmed: 37203650
pii: SHTI230106
doi: 10.3233/SHTI230106
doi:

Types de publication

Journal Article

Langues

eng

Pagination

217-221

Auteurs

Melody L Greer (ML)

University of Arkansas for Medical Sciences, USA.

Maryam Y Garza (MY)

University of Arkansas for Medical Sciences, USA.

Steve Sample (S)

University of Arkansas for Medical Sciences, USA.

Sudeepa Bhattacharyya (S)

Arkansas State University, USA.

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Classifications MeSH