A Web-Based Lifestyle-Related Course for People Living With Multiple Sclerosis: Quantitative Evaluation of Course Completion, Satisfaction, and Lifestyle Changes Among Participants Enrolled in a Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: Web-based health courses providing lifestyle-related information can potentially increase knowledge, facilitate behavior change, and improve health outcomes for people living with multiple sclerosis (MS). Despite the low engagement with web-based programs by this population, few studies have evaluated factors influencing engagement. This study evaluated engagement with our 6-week lifestyle-related course (Multiple Sclerosis Online Course; MSOC) by participants enrolled in a large, international randomized controlled trial, as well as preliminary outcomes. OBJECTIVE: This study aimed to quantitatively assess engagement with the MSOC (the intervention course [IC] and standard-care course [SCC]), motivators of and barriers to participants' course completion, course satisfaction, engagement with the community forum, and intentions to implement lifestyle changes. METHODS: We collected data via a baseline survey before course commencement and an evaluation survey 1 month after the 6-week course. Course completers were queried on motivators of completion, course satisfaction, previous knowledge, forum participation, and intentions to adopt lifestyle changes. Noncompleters were queried on barriers to course completion. Differences between the 2 study arms were examined using chi-square and 2-tailed t tests. Multivariable linear regression models assessed factors (sociodemographic and course and health related) associated with participants' intentions to adopt lifestyle changes adjusting for baseline lifestyle factors. Moderation analyses were conducted to test group differences. RESULTS: Of the 857 participants, 442 (51.6%) completed the MSOC (IC: n=218, 49.3%; SCC: n=224, 50.7%), and 291 (34%) completed the evaluation survey (n=254, 87.3% course completers; n=37, 12.7% noncompleters). Key motivators of course completion included an interest in participating in MS research, optimizing health, course flexibility, and relevant and useful course content. Barriers to course completion included time constraints and technical issues. Most course completers rated the MSOC as "excellent/very good" (IC: 92/126, 73%; SCC: 78/128, 60.9%; P=.17). Engagement with the facilitator-led community forum was higher in the IC than in the SCC (56/126, 44.4% vs 32/128, 25%; P=.003). More IC completers versus SCC completers expressed their intention to adopt dietary changes (89/125, 71.2% vs 74/127, 58.3%; P=.04), increase their sun exposure (82/124, 66.1% vs 62/124, 50%; P=.01), supplement with omega-3 (84/125, 67.2% vs 60/126, 47.6%; P=.004), and practice meditation (85/124, 68.5% vs 66/126, 52.4%; P=.009). Forum engagement, course satisfaction, new course content, and an interest in receiving additional course content were associated with intentions to adopt lifestyle changes across both study arms. CONCLUSIONS: The web-based lifestyle IC provided new and satisfactory content and facilitated intentions to adopt lifestyle changes. Positive associations between engagement with the community forum and intentions to implement lifestyle changes and identifying barriers to completion such as time constraints provide important insights to inform the design of future digital health interventions for people living with MS and possibly other chronic conditions. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12621001605886; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=382778&isReview=true.
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 | 0,031 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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 ».