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TRACER: Transition to Adulthood Through Coaching and Empowerment in Rheumatology, a Feasibility Study

2025· article· en· W4411846641 on OpenAlexaffvenueabout
Megan A. Clarke, J. Lynwood Herrington, Tania Cellucci, Liane Heale, Mark Matsos, Karen Beattie, Roberta Berard, Michelle Batthish

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineCoachingRheumatologyEmpowermentInternal medicinePhysical therapyTransition (genetics)PsychotherapistPsychology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.429
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes3
Has abstractyes

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