Toward standardization, harmonization, and integration of social determinants of health data : A Texas Clinical and Translational Science Award institutions collaboration
© The Author(s) 2024..
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.
| Errataetall: |
ErratumIn: J Clin Transl Sci. 2024 Apr 18;8(1):e62. - PMID 38655452 |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:8 |
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| Enthalten in: |
Journal of clinical and translational science - 8(2024), 1 vom: 01., Seite e17 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Craven, Catherine K [VerfasserIn] |
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| Links: |
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| Themen: |
Electronic health records |
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| Anmerkungen: |
Date Revised 24.04.2024 published: Electronic-eCollection ErratumIn: J Clin Transl Sci. 2024 Apr 18;8(1):e62. - PMID 38655452 Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1017/cts.2024.2 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM368749282 |
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| 100 | 1 | |a Craven, Catherine K |e verfasserin |4 aut | |
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| 500 | |a published: Electronic-eCollection | ||
| 500 | |a ErratumIn: J Clin Transl Sci. 2024 Apr 18;8(1):e62. - PMID 38655452 | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © The Author(s) 2024. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a health information interoperability | |
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| 650 | 4 | |a translational science | |
| 700 | 1 | |a Highfield, Linda |e verfasserin |4 aut | |
| 700 | 1 | |a Basit, Mujeeb |e verfasserin |4 aut | |
| 700 | 1 | |a Bernstam, Elmer V |e verfasserin |4 aut | |
| 700 | 1 | |a Choi, Byeong Yeob |e verfasserin |4 aut | |
| 700 | 1 | |a Ferrer, Robert L |e verfasserin |4 aut | |
| 700 | 1 | |a Gelfond, Jonathan A |e verfasserin |4 aut | |
| 700 | 1 | |a Pruitt, Sandi L |e verfasserin |4 aut | |
| 700 | 1 | |a Kannan, Vaishnavi |e verfasserin |4 aut | |
| 700 | 1 | |a Shireman, Paula K |e verfasserin |4 aut | |
| 700 | 1 | |a Spratt, Heidi |e verfasserin |4 aut | |
| 700 | 1 | |a Morales, Kayla J Torres |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Chen-Pin |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Zhan |e verfasserin |4 aut | |
| 700 | 1 | |a Zozus, Meredith N |e verfasserin |4 aut | |
| 700 | 1 | |a Sankary, Edward C |e verfasserin |4 aut | |
| 700 | 1 | |a Schmidt, Susanne |e verfasserin |4 aut | |
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