TY - GEN
T1 - Social Determinants of Health Data Quality at Different Levels of Geographic Detail
AU - Greer, Melody L.
AU - Garza, Maryam Y.
AU - Sample, Steve
AU - Bhattacharyya, Sudeepa
N1 - Publisher Copyright:
© 2023 European Federation for Medical Informatics (EFMI) and IOS Press.
PY - 2023/5/18
Y1 - 2023/5/18
N2 - 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.
AB - 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.
KW - Data Quality
KW - Social Determinants of Health
UR - http://www.scopus.com/inward/record.url?scp=85159759384&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85159759384&partnerID=8YFLogxK
U2 - 10.3233/SHTI230106
DO - 10.3233/SHTI230106
M3 - Conference contribution
C2 - 37203650
AN - SCOPUS:85159759384
T3 - Studies in Health Technology and Informatics
SP - 217
EP - 221
BT - Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023
A2 - Hagglund, Maria
A2 - Blusi, Madeleine
A2 - Bonacina, Stefano
A2 - Nilsson, Lina
A2 - Madsen, Inge Cort
A2 - Pelayo, Sylvia
A2 - Moen, Anne
A2 - Benis, Arriel
A2 - Lindskold, Lars
A2 - Gallos, Parisis
PB - IOS Press BV
T2 - 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023
Y2 - 22 May 2023 through 25 May 2023
ER -