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Record W4404872276 · doi:10.1016/j.hctj.2024.100088

Transition experiences of adolescents and young adults working with a patient navigator

2024· article· en· W4404872276 on OpenAlexafffund
Daniella San Martin-Feeney, Sophie Samborn, Brooke Allemang, Megan Patton, Zoya Punjwani, Ken Pfister, Laurel Ryan, Gregory M.T. Guilcher, Lorraine Hamiwka, Scott Klarenbach, Eddy Lang, Kerry McBrien, Alberto Nettel‐Aguirre, Danièle Pacaud, Jorge Pinzon, Shannon D. Scott, Lonnie Zwaigenbaum, Claire Perrott, John Roger Andersen, Gail Andrew, Andrew S. Mackie, Susan Samuel, Gina Dimitropoulos

Bibliographic record

VenueHealth Care Transitions · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsCentre for Addiction and Mental HealthAlberta Children's HospitalGlenrose Rehabilitation HospitalUniversity of CalgaryInstitute for Clinical Evaluative SciencesStollery Children's HospitalHospital for Sick ChildrenUniversity of TorontoUniversity of Alberta
FundersCanadian Institutes of Health ResearchAlberta Children's Hospital FoundationGlenrose Rehabilitation HospitalChildren's Hospital FoundationStollery Children’s Hospital FoundationAlberta Health Services
KeywordsTransition (genetics)PsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Introduction: The transition from pediatric to adult care poses challenges for adolescents and young adults (AYA) with chronic conditions and their caregivers. A patient navigator (PN) intervention may mitigate transition-related barriers. Methods: A qualitative study was conducted within a pragmatic randomized controlled trial. A purposive sample was recruited of AYA with diverse diagnostic and demographic characteristics who worked with the PN and/or their caregivers. Seventeen participants completed semi-structured interviews at baseline and post-intervention and optional journal entries. Thematic analysis was used inductively. Results: Analysis yielded two themes from baseline interviews: 1) uncertainty and hesitation with leaving a place of support, 2) navigator assistance with post-secondary education, and three themes from post-intervention interviews: 1) emotional support, 2) informational and task-focused support, 3) navigator guidance to become more independent. Discussion: Our findings describe the needs of AYA and the experience of PN support; our findings may guide future implementation of PNs in transition 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.357
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2024
Admission routes2
Has abstractyes

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