Disparities in Telemedicine Use for Subspecialty Diabetes Care During COVID-19 Shelter-In-Place Orders.


Journal

Journal of diabetes science and technology
ISSN: 1932-2968
Titre abrégé: J Diabetes Sci Technol
Pays: United States
ID NLM: 101306166

Informations de publication

Date de publication:
09 2021
Historique:
pubmed: 16 3 2021
medline: 21 9 2021
entrez: 15 3 2021
Statut: ppublish

Résumé

During the COVID-19 pandemic, telemedicine use rapidly and dramatically increased for management of diabetes mellitus. It is unknown whether access to telemedicine care has been equitable during this time. This study aimed to identify patient-level factors associated with adoption of telemedicine for subspecialty diabetes care during the pandemic. We conducted an explanatory sequential mixed-methods study using data from a single academic medical center. We used multivariate logistic regression to explore associations between telemedicine use and demographic factors for patients receiving subspecialty diabetes care between March 19 and June 30, 2020. We then surveyed a sample of patients who received in-person care to understand why these patients did not use telemedicine. Among 1292 patients who received subspecialty diabetes care during the study period, those over age 65 were less likely to use telemedicine (OR: 0.34, 95% CI: 0.22-0.52, Our findings suggest that, amidst the COVID-19 pandemic, there have been disparities in telemedicine use by age, language, and insurance for patients with diabetes mellitus. We anticipate telemedicine will continue to be an important care modality for chronic conditions in the years ahead. Significant work must therefore be done to ensure that telemedicine services do not introduce or widen population health disparities.

Sections du résumé

BACKGROUND
During the COVID-19 pandemic, telemedicine use rapidly and dramatically increased for management of diabetes mellitus. It is unknown whether access to telemedicine care has been equitable during this time. This study aimed to identify patient-level factors associated with adoption of telemedicine for subspecialty diabetes care during the pandemic.
METHODS
We conducted an explanatory sequential mixed-methods study using data from a single academic medical center. We used multivariate logistic regression to explore associations between telemedicine use and demographic factors for patients receiving subspecialty diabetes care between March 19 and June 30, 2020. We then surveyed a sample of patients who received in-person care to understand why these patients did not use telemedicine.
RESULTS
Among 1292 patients who received subspecialty diabetes care during the study period, those over age 65 were less likely to use telemedicine (OR: 0.34, 95% CI: 0.22-0.52,
CONCLUSIONS
Our findings suggest that, amidst the COVID-19 pandemic, there have been disparities in telemedicine use by age, language, and insurance for patients with diabetes mellitus. We anticipate telemedicine will continue to be an important care modality for chronic conditions in the years ahead. Significant work must therefore be done to ensure that telemedicine services do not introduce or widen population health disparities.

Identifiants

pubmed: 33719622
doi: 10.1177/1932296821997851
pmc: PMC8442172
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

986-992

Subventions

Organisme : NIDDK NIH HHS
ID : K23 DK125671
Pays : United States
Organisme : NICHD NIH HHS
ID : K23 HD101550
Pays : United States

Références

JMIR Mhealth Uhealth. 2019 Aug 29;7(8):e14250
pubmed: 31469083
Diabetes Technol Ther. 2020 Dec;22(12):920-928
pubmed: 32191141
J Med Internet Res. 2020 Apr 6;22(4):e16951
pubmed: 32250280
Neurology. 2020 Sep 1;95(9):e1257-e1266
pubmed: 32518152
Diabetes Care. 2020 Jan;43(Suppl 1):S37-S47
pubmed: 31862747
Endocrinol Diabetes Metab. 2020 Aug 29;4(1):e00180
pubmed: 33532617
Pediatrics. 2020 Aug;146(2):
pubmed: 32747592
J Telemed Telecare. 2020 Oct 21;:1357633X20963893
pubmed: 33081595
J Am Med Inform Assoc. 2020 Dec 9;27(12):1949-1954
pubmed: 32866249
Telemed J E Health. 2013 May;19(5):357-62
pubmed: 23343257

Auteurs

Sarah C Haynes (SC)

Department of Pediatrics, University of California, Davis, CA, USA.
Center for Health and Technology, University of California, Davis, CA, USA.

Tejaswi Kompala (T)

Department of Medicine, University of California, San Francisco, CA, USA.

Aaron Neinstein (A)

Department of Medicine, University of California, San Francisco, CA, USA.
Center for Digital Health Innovation, University of California, San Francisco, CA, USA.

Jennifer Rosenthal (J)

Department of Pediatrics, University of California, Davis, CA, USA.
Center for Health and Technology, University of California, Davis, CA, USA.

Stephanie Crossen (S)

Department of Pediatrics, University of California, Davis, CA, USA.
Center for Health and Technology, University of California, Davis, CA, USA.

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Classifications MeSH