Telemedicine's Impact on Diabetes Care during the COVID-19 Pandemic: A Cohort Study in a Large Integrated Healthcare System.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
27 Feb 2024
Historique:
pubmed: 11 3 2024
medline: 11 3 2024
entrez: 11 3 2024
Statut: epublish

Résumé

To examine if patients exposed to primary care telemedicine (telephone or video) early in the COVID-19 pandemic had higher rates of downstream HbA In a cohort of 242, 848 Kaiser Permanente Northern California patients with diabetes, we examined associations between early-pandemic patient-initiated telemedicine visit and downstream HbA Adjusted HbA Access to telephone and video telemedicine throughout the early COVID-19 pandemic was associated with patients' continued engagement in recommended diabetes care. Although our study analyzed telemedicine use during a pandemic, telemedicine visits may continue to support ongoing health care access and positive clinical outcomes.

Identifiants

pubmed: 38464156
doi: 10.1101/2024.02.25.24303335
pmc: PMC10925369
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK085070
Pays : United States
Organisme : NIDDK NIH HHS
ID : T32 DK116684
Pays : United States

Déclaration de conflit d'intérêts

Conflicts of Interest No potential conflicts of interest relevant to this article were reported.

Auteurs

Reysha Patel (R)

University of California Riverside, School of Medicine, Riverside, CA.

Jie Huang (J)

Kaiser Permanente Division of Research, Oakland, CA.

Loretta Hsueh (L)

Kaiser Permanente Division of Research, Oakland, CA.

Anjali Gopalan (A)

Kaiser Permanente Division of Research, Oakland, CA.

Andrea Millman (A)

Kaiser Permanente Division of Research, Oakland, CA.

Isabelle Franklin (I)

Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA.

Mary Reed (M)

Kaiser Permanente Division of Research, Oakland, CA.

Classifications MeSH