TRACER: Transition to Adulthood Through Coaching and Empowerment in Rheumatology, a Feasibility Study
Notice bibliographique
Résumé
Objectives The transition to adult healthcare is a vulnerable time for youth with chronic disease, with risks of disengagement and complications of inadequately managed disease. Health Coaching helps patients gain knowledge, skills, tools and confidence to become active participants in their care. Transition Coaching may be effective in psychologically and socially supporting youth as they gain the skills and tools necessary to independently manage their health. We designed the TRACER (Transition to Adulthood through Coaching and Empowerment in Rheumatology) study to assess the feasibility of conducting a multicentered RCT of a virtual Transition Coach Intervention (TCI) in youth transferring from pediatric to adult rheumatology care. Methods Youth 17-18 years old were recruited at their last pediatric rheumatology appointment at McMaster Children’s Hospital or Children’s Hospital at London Health Sciences Centre in Ontario. Participants were randomized to the TCI or control group. Participants in both groups received the Youth Transition Roadmap which informs the differences between pediatric and adult care and discusses 5 domains of healthcare transition: Self-Advocacy, Medication Management, General Health, Lifestyle Issues and Future Planning related to education and vocation. TCI group participants also received virtual one-on-one monthly coaching sessions for 8 months. Six sessions were with an advanced practice physiotherapist (APP) and two were with a social worker. Primary feasibility outcomes were overall consent rate (≥85%), enrollment from the non-primary site (>30%), coaching session attendance (≥90%), and data collection completion (≥90%). Secondary clinical outcomes collected at baseline, 8- and 11-months included the Transition-Q (transition readiness), PedsQL(TM) 4.0 (global functional assessment), active joint count and Physician Global Assessment (disease activity), and PROMIS® self-efficacy measures for people with chronic disease. Results Of 65 patients approached, 30 (46.2%) consented, and 16 (53.3%) were from London. Of those who consented, 2 withdrew after consenting but prior to collecting baseline data and starting the intervention (Table 1). TCI sessions had a 95.8% attendance rate. Participants completed 90.7% of outcome assessments. At 8 months, TCI participants appeared to have higher levels of transition readiness, PROMIS® scores were higher in certain domains, and the TCI was well accepted by participants and coaches. Table 1. Feasibility Criteria Obtained Conclusion Our study met all feasibility outcomes except the consent rate, which indicates a large-scale RCT could be feasible. This study’s findings will shape a future multicenter RCT of a virtual TCI, with the ultimate goal of enhancing the physical, mental, and social well-being of adolescents with rheumatic disease transitioning into adult care.
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 | 0,010 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».