MyGood Trip, a Telemedicine Intervention for Physical Activity Recovery After Bariatric Surgery: Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: Despite bariatric surgery showing significant weight loss trajectories for many patients, a substantial proportion regain weight after the first year following surgery. The addition of telemedicine to standard care could support patients with engaging in a more active lifestyle and thus improve clinical outcomes. OBJECTIVE: Our aim was to evaluate a telemedicine intervention program dedicated to the promotion of physical activity including digital devices, teleconsultation, and telemonitoring the first 6 months following bariatric surgery. METHODS: This study employed a mixed methods design based on an open-label randomized controlled trial. Patients were included during the first week after bariatric surgery; then, they were randomized into 2 intervention groups: The TelePhys group received a monthly telemedicine consultation focusing on physical activity coaching, while the TeleDiet group received a monthly telemedicine consultation involving diet coaching. Data were collected using a watch pedometer and body weight scale, both of which were connected wirelessly. The primary outcome was the difference between the 2 groups in the mean numbers of steps at the first and sixth postoperative months. Weight change was also evaluated, and focus groups and interviews were conducted to enrich the results and capture perceptions of the telemedicine provided. RESULTS: Among the 90 patients (mean age 40.6, SD 10.4 years; 73/90, 81% women; 62/90, 69% gastric bypass), 70 completed the study until the sixth month (n=38 TelePhys; n=32 TeleDiet), and 18 participants agreed to be interviewed (n=8 Telephys; n=10 TeleDiet). An increase in the mean number of steps between the first and sixth months was found in both groups, but this change was significant only in the TeleDiet group (P=.01). No difference was found when comparing both intervention groups. Interviewed participants reported having appreciated the teleconsultations, as the individualized tailored counseling helped them to make better choices about behaviors that could increase their likelihood of a daily life in better health. Weight loss followed by social factors (such as social support) were identified as the main facilitators to physical activity. Family responsibilities, professional constraints as well as poor urban policies promoting physical activity, and lack of accessibility to sport infrastructure were their major barriers to postoperative lifestyle adherence. CONCLUSIONS: Our study did not show any difference in mobility recovery after bariatric surgery related to a telemedicine intervention dedicated to physical activity. The early postoperative timing for our intervention may explain the null findings. eHealth interventions aiming to change behaviors and carried out by clinicians require support from structured public health policies that tackle patients' obesogenic environment in order to be efficient in their struggle against sedentary lifestyle-related pathologies. Further research will need to focus on long-term interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT02716480, https://clinicaltrials.gov/ct2/show/NCT02716480.
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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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 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 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
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 ».