Patient-Centered, Theory-Based, Online Intervention to Promote a Physically Active Lifestyle for People With Multiple Sclerosis: Protocol for a Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: People with multiple sclerosis (MS) experience life challenges due to the nature of disease progression. Although an active lifestyle has been shown effective for symptom and relapse management, most people with MS lead a sedentary lifestyle and do not reach the recommended physical activity (PA) guidelines. OBJECTIVE: This study aims to test the preliminary efficacy of a codeveloped, online self-management intervention based on the health action process approach (HAPA) adapted for people with MS to cultivate a physically active lifestyle. METHODS: The 8-week intervention program was developed using community-based participatory research based on the HAPA. The program includes increasing awareness of incorporating PA in a daily routine, the benefits of physical activities for people with MS, developing motivation, utilizing social and environmental support, setting measurable goals and doable plans, and coping with barriers for long-term adoption of new behaviors. Community members with MS serve as peer coaches. We aimed to recruit 60 people with MS, randomizing them to an intervention group or a wait-list control group. Control group participants do not receive any intervention nor information for the period of study. Participants will complete PA measures (accelerometer and survey) and psychological assessments at baseline; after an 8-week intervention; and 3 months, 6 months, and 12 months postintervention. We hypothesize that the intervention group will have (1) higher scores on the HAPA questionnaires and (2) higher frequency, duration, and intensity of engagement in PA after the intervention than the control group. We will conduct descriptive analyses (means, SDs), chi-squared tests, independent t tests, paired t tests, repeated measures ANOVA, and 2-way (any 2 factors of conditions, disability severity levels, and time) and 3-way (conditions × disability severity levels × time) mixed model ANOVAs. RESULTS: The study was funded in April 2018 and was delayed due to the COVID-19 pandemic. We invited peer coaches to review the accessibility of online modules in fall 2022. We finalized the module accessibility and trained peer coaches on how to use the online modules in December 2022. Since February 2023, we have recruited 50 participants to the trial who have been assigned to the intervention group (n=25) or control group (n=25). During the follow-up stage, 3 participants dropped out of the intervention group, and 4 participants dropped out of the control group. Enrollment ended in 2024, and data collection is expected to conclude by December 2025, with results anticipated to be published in January 2026. CONCLUSIONS: This study will test the effectiveness of using an evidence-based online intervention for self-management of physical activity behavior by people with MS. The results of the study will provide us with insightful information for designing community-based participatory research and implementing telerehabilitation interventions for people with MS. TRIAL REGISTRATION: ClinicalTrials.gov NCT05124522; https://clinicaltrials.gov/study/NCT05124522. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/66091.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,025 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,003 |
| Méta-épidémiologie (sens large) | 0,014 | 0,005 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,008 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,081 | 0,012 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».