Insights into measuring health disparities using electronic health records from a statewide network of health systems: A case study.
Health equity
electronic health records
health disparities
learning health systems
public reporting
quality improvement collaboratives
social determinants of health
Journal
Journal of clinical and translational science
ISSN: 2059-8661
Titre abrégé: J Clin Transl Sci
Pays: England
ID NLM: 101689953
Informations de publication
Date de publication:
2023
2023
Historique:
received:
28
04
2022
revised:
04
10
2022
accepted:
28
11
2022
medline:
4
4
2023
entrez:
3
4
2023
pubmed:
4
4
2023
Statut:
epublish
Résumé
Within Wisconsin, our residents experience some of the worst health disparities in the nation. Public reporting on disparities in the quality of care is important to achieving accountability for reducing disparities over time and has been associated with improvements in care. Disparities reporting using statewide electronic health records (EHR) data would allow efficient and regular reporting, but there are significant challenges with missing data and data harmonization. We report our experience in creating a statewide, centralized EHR data repository to support health systems in reducing health disparities through public reporting. We partnered with the Wisconsin Collaborative for Healthcare Quality (the "Collaborative"), which houses patient-level EHR data from 25 health systems including validated metrics of healthcare quality. We undertook a detailed assessment of potential disparity indicators (race and ethnicity, insurance status and type, and geographic disparity). Challenges for each indicator are described, with solutions encompassing internal (health system) harmonization, central (Collaborative) harmonization, and centralized data processing. Key lessons include engaging health systems in identifying disparity indicators, aligning with system priorities, measuring indicators already collected in the EHR to minimize burden, and facilitating workgroups with health systems to build relationships, improve data collection, and develop initiatives to address disparities in healthcare.
Identifiants
pubmed: 37008604
doi: 10.1017/cts.2022.521
pii: S2059866122005210
pmc: PMC10052445
doi:
Types de publication
Case Reports
Langues
eng
Pagination
e54Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR002373
Pays : United States
Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
The authors have no conflicts of interest to declare.
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