Comparison of Glycemic Control Between In-Person and Virtual Diabetes Consults in Hospitalized Patients With Diabetes.

COVID-19 diabetes mellitus hospital telemedicine

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:
20 Sep 2023
Historique:
medline: 20 9 2023
pubmed: 20 9 2023
entrez: 20 9 2023
Statut: aheadofprint

Résumé

There is limited evidence that the diabetes in-person consult in hospitalized patients can be replaced by a virtual consult. During COVID-19 pandemic, the diabetes in-person consult service at the University of Miami and Miami Veterans Affairs Healthcare System transitioned to a virtual model. The aim of this study was to assess the impact of telemedicine on glycemic control after this transition. We retrospectively analyzed glucose metrics from in-person consults (In-person) during January 16 to March 14, 2020 and virtual consults during March 15 to May 14, 2020. Data from virtual consults were analyzed by separating patients infected with COVID-19, who were seen only virtually (Virtual-COVID-19-Pos), and patients who were not infected (Virtual-COVID-19-Neg), or by combining the two groups (Virtual-All). Patient-day-weighted blood glucose was not significantly different between In-person, Virtual-All, and Virtual-COVID-19-Neg, but Virtual-COVID-19-Pos had significantly higher mean ± SD blood glucose (mg/dL) compared with others (206.7 ± 49.6 In-person, 214.6 ± 56.2 Virtual-All, 206.5 ± 57.2 Virtual-COVID-19-Neg, 229.7 ± 51.6 Virtual-COVID-19-Pos; In-person and virtual consults delivered by a diabetes team at an academic institution were not associated with significant differences in glycemic control. These real-world data suggest that telemedicine could be used for in-patient diabetes management, although additional studies are needed to better assess clinical outcomes and safety.

Sections du résumé

BACKGROUND UNASSIGNED
There is limited evidence that the diabetes in-person consult in hospitalized patients can be replaced by a virtual consult. During COVID-19 pandemic, the diabetes in-person consult service at the University of Miami and Miami Veterans Affairs Healthcare System transitioned to a virtual model. The aim of this study was to assess the impact of telemedicine on glycemic control after this transition.
METHODS UNASSIGNED
We retrospectively analyzed glucose metrics from in-person consults (In-person) during January 16 to March 14, 2020 and virtual consults during March 15 to May 14, 2020. Data from virtual consults were analyzed by separating patients infected with COVID-19, who were seen only virtually (Virtual-COVID-19-Pos), and patients who were not infected (Virtual-COVID-19-Neg), or by combining the two groups (Virtual-All).
RESULTS UNASSIGNED
Patient-day-weighted blood glucose was not significantly different between In-person, Virtual-All, and Virtual-COVID-19-Neg, but Virtual-COVID-19-Pos had significantly higher mean ± SD blood glucose (mg/dL) compared with others (206.7 ± 49.6 In-person, 214.6 ± 56.2 Virtual-All, 206.5 ± 57.2 Virtual-COVID-19-Neg, 229.7 ± 51.6 Virtual-COVID-19-Pos;
CONCLUSIONS UNASSIGNED
In-person and virtual consults delivered by a diabetes team at an academic institution were not associated with significant differences in glycemic control. These real-world data suggest that telemedicine could be used for in-patient diabetes management, although additional studies are needed to better assess clinical outcomes and safety.

Identifiants

pubmed: 37727950
doi: 10.1177/19322968231199470
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

19322968231199470

Auteurs

Maria Gracia Luzuriaga (MG)

Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Department of Endocrinology, Diabetes and Metabolism, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.

Monica Lieberman (M)

Jackson Memorial Hospital, Miami, FL, USA.

Ruixuan Ma (R)

Division of Biostatistics, Department of Epidemiology and Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.

Sabina Casula (S)

Endocrinology Section, Miami Veterans Affairs Healthcare System, Miami, FL, USA.

Violet Lagari-Libhaber (V)

Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Endocrinology Section, Miami Veterans Affairs Healthcare System, Miami, FL, USA.

Shari Messinger (S)

Department of Endocrinology, Diabetes and Metabolism, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.

Hua Li (H)

Department of Endocrinology, Diabetes and Metabolism, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV, USA.

Bresta Miranda (B)

Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.

David A Baidal (DA)

Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.

Ernesto Bernal Mizrachi (EB)

Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Endocrinology Section, Miami Veterans Affairs Healthcare System, Miami, FL, USA.

Gianluca Iacobellis (G)

Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.

Rajesh Garg (R)

Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.
Harbor-UCLA Medical Center, Torrance, CA, USA.

Francesco Vendrame (F)

Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Miller School of Medicine, University of Miami, Miami, FL, USA.

Classifications MeSH