Increasing Physical Activity in Persons With Spinal Cord Injury With an eHealth-Based Adaptive Exercise Intervention: Protocol for a Sequential Multiple Assignment Randomized Trial.

adaptive intervention exercise physical activity spinal cord injury

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
27 Jul 2023
Historique:
received: 26 05 2023
accepted: 08 06 2023
revised: 07 06 2023
medline: 27 7 2023
pubmed: 27 7 2023
entrez: 27 7 2023
Statut: epublish

Résumé

Participating in an adequate amount of physical activity to acquire health benefits is challenging for people with spinal cord injury (SCI) due to personal and logistic barriers. Barriers in the built and social environments may include lack of transportation, lack of accessible facilities or programs, and lack of training among fitness personnel. Low self-efficacy, lack of self-regulation skills, and improper outcome expectations are examples of personal barriers. Current approaches to investigating physical activity programs in people with SCI have been limited to traditional "one-size-fits-all" design, which has yielded low adherence rates, high dropout rates, and participants not maintaining physical activity levels at follow-up. The primary aim of this study is to test the feasibility of a tele-exercise program that applies an adaptive intervention design for 30 adults with SCI, targeting increases in adherence to the exercise program and physical activity participation. The Sequential Multiple Assignment Randomized Trial for Home-based Exercise and Lifestyle Tele-Health (SMART-HEALTH) is a 12-week, home-based, movement-to-music (M2M) program. The goal of a SMART-designed study is to develop an adaptive intervention that modifies support provisions based on response levels. In SMART-HEALTH, 2 groups of participants will undergo 3-week and 6-week asynchronous M2M interventions in the first phase. Participants who did not achieve the desired adherence rate (≥95% of video watch minutes) will be rerandomized into M2M Live (switch) or individualized behavioral coaching (augmented with the asynchronous M2M program). The study will primarily assess rates of recruitment or enrollment, adherence and retention, timing to identify nonresponders, and scientific outcomes (eg, physical activity and exercise self-efficacy). The study will qualitatively evaluate the acceptability of the study using semistructured interviews among participants who complete the 12-week intervention. Recruitment procedures started in June 2022. All data are expected to be collected by September 2023. Full trial results are expected to be published by March 2024. Secondary analyses of data will be subsequently published. Results will include exercise adherence rates; changes in self-reported physical activity levels and blood pressure; and changes in secondary conditions including pain, sleep, and fatigue. Thematic analysis of semistructured interviews will include results on participant enjoyment and acceptability of SMART-HEALTH and inform modifications for future delivery of the program. This study will strengthen our understanding of the potential benefits of the tele-exercise intervention for people with SCI and build upon adaptive intervention design and its delivery strategies that aim to increase adoption and sustainable exercise behavior. This pilot trial will inform future SMART-designed studies and provide new and innovative strategies for investigating intervention effects on physical activity behavior in the SCI population. ClinicalTrials.gov NCT04726891; https://classic.clinicaltrials.gov/ct2/show/NCT04726891. DERR1-10.2196/47665.

Sections du résumé

BACKGROUND BACKGROUND
Participating in an adequate amount of physical activity to acquire health benefits is challenging for people with spinal cord injury (SCI) due to personal and logistic barriers. Barriers in the built and social environments may include lack of transportation, lack of accessible facilities or programs, and lack of training among fitness personnel. Low self-efficacy, lack of self-regulation skills, and improper outcome expectations are examples of personal barriers. Current approaches to investigating physical activity programs in people with SCI have been limited to traditional "one-size-fits-all" design, which has yielded low adherence rates, high dropout rates, and participants not maintaining physical activity levels at follow-up.
OBJECTIVE OBJECTIVE
The primary aim of this study is to test the feasibility of a tele-exercise program that applies an adaptive intervention design for 30 adults with SCI, targeting increases in adherence to the exercise program and physical activity participation.
METHODS METHODS
The Sequential Multiple Assignment Randomized Trial for Home-based Exercise and Lifestyle Tele-Health (SMART-HEALTH) is a 12-week, home-based, movement-to-music (M2M) program. The goal of a SMART-designed study is to develop an adaptive intervention that modifies support provisions based on response levels. In SMART-HEALTH, 2 groups of participants will undergo 3-week and 6-week asynchronous M2M interventions in the first phase. Participants who did not achieve the desired adherence rate (≥95% of video watch minutes) will be rerandomized into M2M Live (switch) or individualized behavioral coaching (augmented with the asynchronous M2M program). The study will primarily assess rates of recruitment or enrollment, adherence and retention, timing to identify nonresponders, and scientific outcomes (eg, physical activity and exercise self-efficacy). The study will qualitatively evaluate the acceptability of the study using semistructured interviews among participants who complete the 12-week intervention.
RESULTS RESULTS
Recruitment procedures started in June 2022. All data are expected to be collected by September 2023. Full trial results are expected to be published by March 2024. Secondary analyses of data will be subsequently published. Results will include exercise adherence rates; changes in self-reported physical activity levels and blood pressure; and changes in secondary conditions including pain, sleep, and fatigue. Thematic analysis of semistructured interviews will include results on participant enjoyment and acceptability of SMART-HEALTH and inform modifications for future delivery of the program.
CONCLUSIONS CONCLUSIONS
This study will strengthen our understanding of the potential benefits of the tele-exercise intervention for people with SCI and build upon adaptive intervention design and its delivery strategies that aim to increase adoption and sustainable exercise behavior. This pilot trial will inform future SMART-designed studies and provide new and innovative strategies for investigating intervention effects on physical activity behavior in the SCI population.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov NCT04726891; https://classic.clinicaltrials.gov/ct2/show/NCT04726891.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/47665.

Identifiants

pubmed: 37498650
pii: v12i1e47665
doi: 10.2196/47665
pmc: PMC10415946
doi:

Banques de données

ClinicalTrials.gov
['NCT04726891']

Types de publication

Journal Article

Langues

eng

Pagination

e47665

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK056336
Pays : United States

Informations de copyright

©Jereme Wilroy, Yumi Kim, Byron Lai, Hui-Ju Young, John Giannone, Danielle Powell, Mohanraj Thirumalai, Tapan Mehta, James Rimmer. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 27.07.2023.

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Auteurs

Jereme Wilroy (J)

Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, United States.

Yumi Kim (Y)

Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, United States.

Byron Lai (B)

Division of Pediatric Rehabilitation Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.

Hui-Ju Young (HJ)

Research Collaborative, University of Alabama at Birmingham, Birmingham, AL, United States.

John Giannone (J)

Research Collaborative, University of Alabama at Birmingham, Birmingham, AL, United States.

Danielle Powell (D)

Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, United States.

Mohanraj Thirumalai (M)

Department of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, United States.

Tapan Mehta (T)

Department of Family and Community Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.

James Rimmer (J)

Research Collaborative, University of Alabama at Birmingham, Birmingham, AL, United States.

Classifications MeSH