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Record W4210461202 · doi:10.1515/jtm-2021-0008

Transition us together: development of a parent-centered toolkit to support adolescents with rheumatic disease transition to adult care

2021· article· en· W4210461202 on OpenAlexaffabout
Molly J. Dushnicky, Jessica M. Scott, Dayle McCauley, Jan Willem Gorter, Karen Beattie, Michelle Batthish

Bibliographic record

VenueJournal of Transition Medicine · 2021
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTransition (genetics)ChecklistPsychological interventionTransitional careAdult careMedicineMedical educationPsychologyHealth careFamily medicineNursingYoung adultGerontologyPolitical science

Abstract

fetched live from OpenAlex

Abstract Objectives While the transition period can be a difficult time for adolescents with chronic health conditions, parents also face challenges in understanding their changing role and how to support their children. To date, minimal interventions have focused on supporting and empowering parents during this period. Methods We co-created a toolkit with and for parents to help prepare them for their child’s transition to adult care. The toolkit was created using an iterative process of reviewing existing resources with integrating feedback from rheumatology patients and parents. Input was sought from the Family and Youth Advisory Councils at McMaster Children’s Hospital in Hamilton, Canada. Results The two components of the toolkit include a Transition Road Map and a Parent Guide to Transition. Five domains of transition readiness were established as pillars of the Road Map. Within each domain, a checklist to achieve self-management was established. The Parent Guide was developed to highlight important information including defining transition, outlining differences between pediatric and adult care, and providing tips on helping and supporting adolescents. Conclusions A Parent Toolkit directed at the Transition from Pediatric to Adult Rheumatology Care was developed and underwent extensive review with multiple stakeholders. Ongoing research on its impact on transition readiness is underway.

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)0.016
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.003
Open science0.0020.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.002

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 head0.052
GPT teacher head0.379
Teacher spread0.327 · 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 designNot applicable
Domainnot available
GenreMethods

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".

Quick stats

Citations5
Published2021
Admission routes2
Has abstractyes

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