TY - JOUR
T1 - Toward standardization, harmonization, and integration of social determinants of health data
T2 - A Texas Clinical and Translational Science Award institutions collaboration
AU - Craven, Catherine K.
AU - Highfield, Linda
AU - Basit, Mujeeb
AU - Bernstam, Elmer V.
AU - Choi, Byeong Yeob
AU - Ferrer, Robert L.
AU - Gelfond, Jonathan A.
AU - Pruitt, Sandi L.
AU - Kannan, Vaishnavi
AU - Shireman, Paula K.
AU - Spratt, Heidi
AU - Morales, Kayla J.Torres
AU - Wang, Chen Pin
AU - Wang, Zhan
AU - Zozus, Meredith N.
AU - Sankary, Edward C.
AU - Schmidt, Susanne
N1 - Publisher Copyright:
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science.
PY - 2024/1/9
Y1 - 2024/1/9
N2 - Introduction: The focus on social determinants of health (SDOH) and their impact on health outcomes is evident in U.S. federal actions by Centers for Medicare & Medicaid Services and Office of National Coordinator for Health Information Technology. The disproportionate impact of COVID-19 on minorities and communities of color heightened awareness of health inequities and the need for more robust SDOH data collection. Four Clinical and Translational Science Award (CTSA) hubs comprising the Texas Regional CTSA Consortium (TRCC) undertook an inventory to understand what contextual-level SDOH datasets are offered centrally and which individual-level SDOH are collected in structured fields in each electronic health record (EHR) system potentially for all patients. Methods: Hub teams identified American Community Survey (ACS) datasets available via their enterprise data warehouses for research. Each hub's EHR analyst team identified structured fields available in their EHR for SDOH using a collection instrument based on a 2021 PCORnet survey and conducted an SDOH field completion rate analysis. Results: One hub offered ACS datasets centrally. All hubs collected eleven SDOH elements in structured EHR fields. Two collected Homeless and Veteran statuses. Completeness at four hubs was 80%-98%: Ethnicity, Race; < 10%: Education, Financial Strain, Food Insecurity, Housing Security/Stability, Interpersonal Violence, Social Isolation, Stress, Transportation. Conclusion: Completeness levels for SDOH data in EHR at TRCC hubs varied and were low for most measures. Multiple system-level discussions may be necessary to increase standardized SDOH EHR-based data collection and harmonization to drive effective value-based care, health disparities research, translational interventions, and evidence-based policy.
AB - Introduction: The focus on social determinants of health (SDOH) and their impact on health outcomes is evident in U.S. federal actions by Centers for Medicare & Medicaid Services and Office of National Coordinator for Health Information Technology. The disproportionate impact of COVID-19 on minorities and communities of color heightened awareness of health inequities and the need for more robust SDOH data collection. Four Clinical and Translational Science Award (CTSA) hubs comprising the Texas Regional CTSA Consortium (TRCC) undertook an inventory to understand what contextual-level SDOH datasets are offered centrally and which individual-level SDOH are collected in structured fields in each electronic health record (EHR) system potentially for all patients. Methods: Hub teams identified American Community Survey (ACS) datasets available via their enterprise data warehouses for research. Each hub's EHR analyst team identified structured fields available in their EHR for SDOH using a collection instrument based on a 2021 PCORnet survey and conducted an SDOH field completion rate analysis. Results: One hub offered ACS datasets centrally. All hubs collected eleven SDOH elements in structured EHR fields. Two collected Homeless and Veteran statuses. Completeness at four hubs was 80%-98%: Ethnicity, Race; < 10%: Education, Financial Strain, Food Insecurity, Housing Security/Stability, Interpersonal Violence, Social Isolation, Stress, Transportation. Conclusion: Completeness levels for SDOH data in EHR at TRCC hubs varied and were low for most measures. Multiple system-level discussions may be necessary to increase standardized SDOH EHR-based data collection and harmonization to drive effective value-based care, health disparities research, translational interventions, and evidence-based policy.
KW - Social determinants of health
KW - electronic health records
KW - health information interoperability
KW - health level seven
KW - translational science
UR - http://www.scopus.com/inward/record.url?scp=85183409306&partnerID=8YFLogxK
U2 - 10.1017/cts.2024.2
DO - 10.1017/cts.2024.2
M3 - Article
AN - SCOPUS:85183409306
SN - 2059-8661
VL - 8
JO - Journal of Clinical and Translational Science
JF - Journal of Clinical and Translational Science
IS - 1
M1 - e17
ER -