Integrating health disparities content into health informatics courses: a cross-sectional survey study and recommendations.

education health disparities informatics teaching training

Journal

JAMIA open
ISSN: 2574-2531
Titre abrégé: JAMIA Open
Pays: United States
ID NLM: 101730643

Informations de publication

Date de publication:
Apr 2023
Historique:
received: 20 12 2021
revised: 15 10 2022
accepted: 16 11 2022
entrez: 23 3 2023
pubmed: 24 3 2023
medline: 24 3 2023
Statut: epublish

Résumé

To assess the extent to which health disparities content is integrated in multidisciplinary health informatics training programs and examine instructor perspectives surrounding teaching strategies and challenges, including student engagement with course material. Data for this cross-sectional, descriptive study were collected between April and October 2019. Instructors of informatics courses taught in the United States were recruited via listservs and email. Eligibility was contingent on course inclusion of disparities content. Participants completed an online survey with open- and closed-ended questions to capture administrative- and teaching-related aspects of disparities education within informatics. Quantitative data were analyzed using descriptive statistics; qualitative data were analyzed using inductive coding. Invitations were sent to 141 individuals and 11 listservs. We obtained data from 23 instructors about 24 informatics courses containing health disparities content. Courses were taught primarily in graduate-level programs ( A foundational and translational knowledge in health disparities is critical to a student's ability to develop future equitable informatics solutions. Based on our findings, we provide recommendations for the intentional and required integration of health disparities-specific content in informatics curricula and competencies.

Identifiants

pubmed: 36950472
doi: 10.1093/jamiaopen/ooac101
pii: ooac101
pmc: PMC10027111
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ooac101

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Déclaration de conflit d'intérêts

None declared.

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Auteurs

Annie T Chen (AT)

Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, Washington, USA.

Uba Backonja (U)

Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, Seattle, Washington, USA.
School of Nursing & Healthcare Leadership, University of Washington Tacoma, Tacoma, Washington, USA.
Department of Family, Child, and Population Health Nursing, University of Washington School of Nursing, Seattle, Washington, USA.

Kenrick Cato (K)

Department of Nursing & Clinical Care Services, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA.

Classifications MeSH