Sustainable Approach to Justice, Equity, Diversity, and Inclusion Through Better Quality Measurement.

ethnicity health equity quality indicators, health care social determinants of health

Journal

Circulation. Cardiovascular quality and outcomes
ISSN: 1941-7705
Titre abrégé: Circ Cardiovasc Qual Outcomes
Pays: United States
ID NLM: 101489148

Informations de publication

Date de publication:
15 Apr 2024
Historique:
medline: 15 4 2024
pubmed: 15 4 2024
entrez: 15 4 2024
Statut: aheadofprint

Résumé

The US health care industry has broadly adopted performance and quality measures that are extracted from electronic health records and connected to payment incentives that hope to improve declining life expectancy and health status and reduce costs. While the development of a quality measurement infrastructure based on electronic health record data was an important first step in addressing US health outcomes, these metrics, reflecting the average performance across diverse populations, do not adequately adjust for population demographic differences, social determinants of health, or ecosystem vulnerability. Like society as a whole, health care must confront the powerful impact that social determinants of health, race, ethnicity, and other demographic variations have on key health care performance indicators and quality metrics. Tools that are currently available to capture and report the health status of Americans lack the granularity, complexity, and standardization needed to improve health and address disparities at the local level. In this article, we discuss the current and future state of electronic clinical quality measures through a lens of equity.

Identifiants

pubmed: 38618717
doi: 10.1161/CIRCOUTCOMES.123.010791
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e010791

Auteurs

Nkem Okeke (N)

Medicalincs, Silver Spring, MD (N.O.).
Harvard Medical School, Center for Primary Care, Boston, MA (N.O.).

Kerrilynn C Hennessey (KC)

Department of Medicine, Section of Cardiovascular Medicine, Dartmouth Hitchcock Health, Lebanon, NH (K.C.H.).

Amy M Sitapati (AM)

Division of Biomedical Informatics, Department of Medicine, University of California San Diego Health (A.M.S.).

Dana Weisshaar (D)

Institute of Medical Educators, Kaiser Permanente Santa Clara, CA (D.W.).

Nishant P Shah (NP)

Duke University School of Medicine, Duke Clinical Research Institute, Durham, NC (N.P.S).

Rebecca Alicki (R)

American Heart Association, Department of Quality, Outcomes Research and Analytics, Dallas, TX (R.A.).

Howard Haft (H)

University of Maryland School of Medicine, Division of Health Sciences and Human Services, Baltimore (H.H.).

Classifications MeSH