Secure Messaging for Diabetes Management: Content Analysis.

T2D communication diabetes diabetic control disease outcomes engagement glycemic control health information management message content messaging patient portal patient-provider communication secure messaging support veterans

Journal

JMIR diabetes
ISSN: 2371-4379
Titre abrégé: JMIR Diabetes
Pays: Canada
ID NLM: 101719410

Informations de publication

Date de publication:
23 Mar 2023
Historique:
received: 13 06 2022
accepted: 13 02 2023
revised: 20 12 2022
entrez: 23 3 2023
pubmed: 24 3 2023
medline: 24 3 2023
Statut: epublish

Résumé

Secure messaging use is associated with improved diabetes-related outcomes. However, it is less clear how secure messaging supports diabetes management. We examined secure message topics between patients and clinical team members in a national sample of veterans with type 2 diabetes to understand use of secure messaging for diabetes management and potential associations with glycemic control. We surveyed and analyzed the content of secure messages between 448 US Veterans Health Administration patients with type 2 diabetes and their clinical teams. We also explored the relationship between secure messaging content and glycemic control. Explicit diabetes-related content was the most frequent topic (72.1% of participants), followed by blood pressure (31.7% of participants). Among diabetes-related conversations, 90.7% of patients discussed medication renewals or refills. More patients with good glycemic control engaged in 1 or more threads about blood pressure compared to those with poor control (37.5% vs 27.2%, P=.02). More patients with good glycemic control engaged in 1 more threads intended to share information with their clinical team about an aspect of their diabetes management compared to those with poor control (23.7% vs 12.4%, P=.009). There were few differences in secure messaging topics between patients in good versus poor glycemic control. Those in good control were more likely to engage in informational messages to their team and send messages related to blood pressure. It may be that the specific topic content of the secure messages may not be that important for glycemic control. Simply making it easier for patients to communicate with their clinical teams may be the driving influence between associations previously reported in the literature between secure messaging and positive clinical outcomes in diabetes.

Sections du résumé

BACKGROUND BACKGROUND
Secure messaging use is associated with improved diabetes-related outcomes. However, it is less clear how secure messaging supports diabetes management.
OBJECTIVE OBJECTIVE
We examined secure message topics between patients and clinical team members in a national sample of veterans with type 2 diabetes to understand use of secure messaging for diabetes management and potential associations with glycemic control.
METHODS METHODS
We surveyed and analyzed the content of secure messages between 448 US Veterans Health Administration patients with type 2 diabetes and their clinical teams. We also explored the relationship between secure messaging content and glycemic control.
RESULTS RESULTS
Explicit diabetes-related content was the most frequent topic (72.1% of participants), followed by blood pressure (31.7% of participants). Among diabetes-related conversations, 90.7% of patients discussed medication renewals or refills. More patients with good glycemic control engaged in 1 or more threads about blood pressure compared to those with poor control (37.5% vs 27.2%, P=.02). More patients with good glycemic control engaged in 1 more threads intended to share information with their clinical team about an aspect of their diabetes management compared to those with poor control (23.7% vs 12.4%, P=.009).
CONCLUSIONS CONCLUSIONS
There were few differences in secure messaging topics between patients in good versus poor glycemic control. Those in good control were more likely to engage in informational messages to their team and send messages related to blood pressure. It may be that the specific topic content of the secure messages may not be that important for glycemic control. Simply making it easier for patients to communicate with their clinical teams may be the driving influence between associations previously reported in the literature between secure messaging and positive clinical outcomes in diabetes.

Identifiants

pubmed: 36951903
pii: v8i1e40272
doi: 10.2196/40272
pmc: PMC10131591
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e40272

Informations de copyright

©Stephanie A Robinson, Mark Zocchi, Carolyn Purington, Linda Am, Kathryn DeLaughter, Varsha G Vimalananda, Dane Netherton, Arlene S Ash, Timothy P Hogan, Stephanie L Shimada. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 23.03.2023.

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Auteurs

Stephanie A Robinson (SA)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.
The Pulmonary Center, Boston University School of Medicine, Boston, MA, United States.

Mark Zocchi (M)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.
The Heller School for Social Policy and Management, Brandeis University, Waltham, MA, United States.

Carolyn Purington (C)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.

Linda Am (L)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.

Kathryn DeLaughter (K)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.

Varsha G Vimalananda (VG)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.
Department of Medicine, Boston University School of Medicine, Boston, MA, United States.

Dane Netherton (D)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.

Arlene S Ash (AS)

Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.

Timothy P Hogan (TP)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.
Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States.

Stephanie L Shimada (SL)

Center for Healthcare Organization and Implementation Research, Veterans Affairs Bedford Healthcare System, Bedford, MA, United States.
Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.
Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, United States.

Classifications MeSH