Accepted for/Published in: JMIR Research Protocols
Date Submitted: Oct 22, 2023
Open Peer Review Period: Oct 22, 2023 - Oct 26, 2023
Date Accepted: Oct 29, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Real world functioning of Veterans with type 2 diabetes: Protocol for an ambulatory assessment study
ABSTRACT
Background:
Diabetes impacts nearly 25% of Veterans and is associated with impaired daily functioning and quality of life. Most Veterans do not engage in recommended physical activity and other diabetes self-management behaviors. Self-management typically takes place outside of medical visits; however, factors related to self-management are only assessed at the time of medical visits, likely missing large amounts of variability.
Objective:
The overarching goal of this study is to understand daily, time-varying factors (comorbid affective symptoms, social context) that influence physical activity, diabetes self-management, glycemic management, daily functioning, and quality of life in participants’ natural environments.
Methods:
We are recruiting Veterans with type 2 diabetes (target N = 100) and are using ecological momentary assessment (EMA), a method of real-time data collection. Participants receive 5 momentary EMA surveys and 1 daily EMA survey per day, in which Veterans report on comorbid affective symptoms (mood, stress, pain), social support, social interactions, physical activity, and other self-management behaviors. Momentary surveys are delivered randomly, during daily pre-programmed intervals over a 14-day sampling period. Accelerometry and continuous glucose monitoring are also used to assess physical activity and blood glucose, respectively.
Results:
The project received funding in April of 2023. Enrollment began in March of 2023 and is planned to be completed in April 2025.
Conclusions:
Assessment tools developed from the present study can inform clinical decision-making by considering barriers to self-management that occur in daily life. Clinical applications include tailored, adaptive technology-supported interventions to improve self-management that provide the right type and amount of support, at the right time by adapting to an individual’s changing internal and contextual state. Clinical Trial: N/A non-RCT
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.