Cargando…

Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis

BACKGROUND: Rural patients with diabetes have difficulty accessing care and are at higher risk for poor diabetes management. Sustained use of patient portal features such as secure messaging (SM) can provide accessible support for diabetes self-management. OBJECTIVE: This study explored whether rura...

Descripción completa

Detalles Bibliográficos
Autores principales: Robinson, Stephanie A, Netherton, Dane, Zocchi, Mark, Purington, Carolyn, Ash, Arlene S, Shimada, Stephanie L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663667/
https://www.ncbi.nlm.nih.gov/pubmed/34807834
http://dx.doi.org/10.2196/32320
_version_ 1784613691681931264
author Robinson, Stephanie A
Netherton, Dane
Zocchi, Mark
Purington, Carolyn
Ash, Arlene S
Shimada, Stephanie L
author_facet Robinson, Stephanie A
Netherton, Dane
Zocchi, Mark
Purington, Carolyn
Ash, Arlene S
Shimada, Stephanie L
author_sort Robinson, Stephanie A
collection PubMed
description BACKGROUND: Rural patients with diabetes have difficulty accessing care and are at higher risk for poor diabetes management. Sustained use of patient portal features such as secure messaging (SM) can provide accessible support for diabetes self-management. OBJECTIVE: This study explored whether rural patients’ self-management and glycemic control was associated with the use of SM. METHODS: This secondary, cross-sectional, mixed methods analysis of 448 veterans with diabetes used stratified random sampling to recruit a diverse sample from the United States (rural vs urban and good vs poor glycemic control). Administrative, clinical, survey, and interview data were used to determine patients’ rurality, use of SM, diabetes self-management behaviors, and glycemic control. Moderated mediation analyses assessed these relationships. RESULTS: The sample was 51% (n=229) rural and 49% (n=219) urban. Mean participant age was 66.4 years (SD 7.7 years). More frequent SM use was associated with better diabetes self-management (P=.007), which was associated with better glycemic control (P<.001). Among rural patients, SM use was indirectly associated with better glycemic control through improved diabetes self-management (95% CI 0.004-0.927). These effects were not observed among urban veterans with diabetes (95% CI –1.039 to 0.056). Rural patients were significantly more likely than urban patients to have diabetes-related content in their secure messages (P=.01). CONCLUSIONS: More frequent SM use is associated with engaging in diabetes self-management, which, in turn, is associated with better diabetes control. Among rural patients with diabetes, SM use is indirectly associated with better diabetes control. Frequent patient-team communication through SM about diabetes-related content may help rural patients with diabetes self-management, resulting in better glycemic control.
format Online
Article
Text
id pubmed-8663667
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-86636672021-12-30 Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis Robinson, Stephanie A Netherton, Dane Zocchi, Mark Purington, Carolyn Ash, Arlene S Shimada, Stephanie L JMIR Diabetes Original Paper BACKGROUND: Rural patients with diabetes have difficulty accessing care and are at higher risk for poor diabetes management. Sustained use of patient portal features such as secure messaging (SM) can provide accessible support for diabetes self-management. OBJECTIVE: This study explored whether rural patients’ self-management and glycemic control was associated with the use of SM. METHODS: This secondary, cross-sectional, mixed methods analysis of 448 veterans with diabetes used stratified random sampling to recruit a diverse sample from the United States (rural vs urban and good vs poor glycemic control). Administrative, clinical, survey, and interview data were used to determine patients’ rurality, use of SM, diabetes self-management behaviors, and glycemic control. Moderated mediation analyses assessed these relationships. RESULTS: The sample was 51% (n=229) rural and 49% (n=219) urban. Mean participant age was 66.4 years (SD 7.7 years). More frequent SM use was associated with better diabetes self-management (P=.007), which was associated with better glycemic control (P<.001). Among rural patients, SM use was indirectly associated with better glycemic control through improved diabetes self-management (95% CI 0.004-0.927). These effects were not observed among urban veterans with diabetes (95% CI –1.039 to 0.056). Rural patients were significantly more likely than urban patients to have diabetes-related content in their secure messages (P=.01). CONCLUSIONS: More frequent SM use is associated with engaging in diabetes self-management, which, in turn, is associated with better diabetes control. Among rural patients with diabetes, SM use is indirectly associated with better diabetes control. Frequent patient-team communication through SM about diabetes-related content may help rural patients with diabetes self-management, resulting in better glycemic control. JMIR Publications 2021-11-19 /pmc/articles/PMC8663667/ /pubmed/34807834 http://dx.doi.org/10.2196/32320 Text en ©Stephanie A Robinson, Dane Netherton, Mark Zocchi, Carolyn Purington, Arlene S Ash, Stephanie L Shimada. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 19.11.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Diabetes, is properly cited. The complete bibliographic information, a link to the original publication on https://diabetes.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Robinson, Stephanie A
Netherton, Dane
Zocchi, Mark
Purington, Carolyn
Ash, Arlene S
Shimada, Stephanie L
Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis
title Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis
title_full Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis
title_fullStr Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis
title_full_unstemmed Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis
title_short Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis
title_sort differences in secure messaging, self-management, and glycemic control between rural and urban patients: secondary data analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663667/
https://www.ncbi.nlm.nih.gov/pubmed/34807834
http://dx.doi.org/10.2196/32320
work_keys_str_mv AT robinsonstephaniea differencesinsecuremessagingselfmanagementandglycemiccontrolbetweenruralandurbanpatientssecondarydataanalysis
AT nethertondane differencesinsecuremessagingselfmanagementandglycemiccontrolbetweenruralandurbanpatientssecondarydataanalysis
AT zocchimark differencesinsecuremessagingselfmanagementandglycemiccontrolbetweenruralandurbanpatientssecondarydataanalysis
AT puringtoncarolyn differencesinsecuremessagingselfmanagementandglycemiccontrolbetweenruralandurbanpatientssecondarydataanalysis
AT asharlenes differencesinsecuremessagingselfmanagementandglycemiccontrolbetweenruralandurbanpatientssecondarydataanalysis
AT shimadastephaniel differencesinsecuremessagingselfmanagementandglycemiccontrolbetweenruralandurbanpatientssecondarydataanalysis