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There to here: young adult patients' perceptions of the process of transition from pediatric to adult transplant care

2006· article· en· W2084286693 on OpenAlexaff
Corinne McCurdy, Alba DiCenso, Sheryl Boblin, D Ludwin, Denise Bryant‐Lukosius, Kwadwo Bosompra

Bibliographic record

VenueProgress in Transplantation · 2006
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcMaster UniversityToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineAdult careYoung adultPerceptionTransition (genetics)Family medicineIntensive care medicineGerontologyPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: An increased understanding of the transition process from pediatric to adult transplant care may inform strategies for facilitating the transfer of patients and ultimately improve outcomes of care. OBJECTIVE: To explore the transition process from pediatric to adult transplant care from the perspective of young adults. STUDY DESIGN: Using a qualitative case study approach, data were collected from transplant recipients through organ-specific focus groups, from transplant coordinators and nurse practitioners through interviews, and from electronic documents. Data were analyzed using an editorial format. RESULTS: The analysis identified 5 elements of transition: There to Here, Getting Ready, Frame of Mind, Making It Easier, and Giving Back. In addition, threaded throughout the elements were the themes People Are Important, Expectations of Us, and Information We Need. CONCLUSIONS: The transition for young people from a pediatric to an adult transplant center can be difficult and often traumatic. Young adults who transfer to adult care need to be better prepared for the adult center, made aware of the differences, and introduced to team members before the transfer. Transition programs that aim to improve the transition process should be developed for these patients.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.642

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 studies0.0000.000
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 head0.010
GPT teacher head0.335
Teacher spread0.325 · 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 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

Citations53
Published2006
Admission routes1
Has abstractyes

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