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Record W4413245688 · doi:10.3390/children12081043

Building Bridges: Developing and Implementing a New Transition to Adult Care Program for Youth with Complex Healthcare Needs at a Canadian Children’s Hospital

2025· article· en· W4413245688 on OpenAlexafffundabout
Sara Santos, Julia Orkin, Dara Abells, Brooke Allemang, Kimberly Colapinto, Nora Constas, Megan Henze, Tomisin John, Robyn Lippett, Susan Miranda, Joanna Soscia, Jessica Teicher, Donna Thomson, Jennifer Tyrrell, Eryn Vandepoele, Karla Wentzel, Darryl Yates, Eyal Cohen‬‏, Alène Toulany

Bibliographic record

VenueChildren · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenSickKids FoundationSurrey Place CentreInstitute for Clinical Evaluative Sciences
FundersCanadian Institutes of Health ResearchHospital for Sick Children
KeywordsTimelineGeneral partnershipHealth careNursingAdult careMedical educationMedicinePsychologyBusinessPolitical science

Abstract

fetched live from OpenAlex

Background/Objectives: Transitioning from pediatric to adult services can be challenging for youth with complex chronic health conditions, especially those with multi-morbidity. These youth often require extra coordination and support during this phase of their healthcare journey. Building upon existing provincial and national initiatives for transitions from pediatric to adult healthcare services, we have developed a hospital-wide program within one of Canada’s largest children’s hospitals that incorporates an integrated care model aimed at better serving these patients and improving outcomes. Methods: Guided by provincial quality standards, an environmental scan and knowledge user engagement were conducted to develop the program, followed by an implementation phase, where the model was piloted. Ongoing learnings from the pilot continue to inform program implementation and evaluation. Results: The Transition to Adult Care (TAC) program offers disease-agnostic care to youth with complex needs for 1–3 years, including 1-year post-transfer, addressing the fragmentation of care across multiple services, organizations and providers. Our interdisciplinary team works in partnership with youth and caregivers to deliver transition navigation, easing the burden on patients and families by tailoring transition supports to each individual youth and caregiver. Preliminary data from the pilot revealed a lack of awareness about transition resources and timelines; however, with early engagement and flexible support beyond age 18, youth were able to complete their transition successfully. Conclusions: The TAC program demonstrates a systems-level approach to improving transition to adult care for youth with complex health needs by integrating individualized support, cross-sectoral collaboration, and continuous quality improvement. Early engagement, flexible post-transfer support, and close partnership with youth, caregivers, and providers are key to facilitating transition. These learnings can inform broader implementation efforts and help address persistent gaps in transitional care across healthcare systems.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.373
Teacher spread0.340 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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