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Record W4393155427 · doi:10.1177/13591053241237861

Letting go of control: A qualitative descriptive study exploring parents’ perspectives on their child’s transition from pediatric to adult care for inflammatory bowel disease

2024· article· en· W4393155427 on OpenAlexaff
Allison Bihari, Karen J. Goodman, Eytan Wine, Cynthia H. Seow, Karen I. Kroeker

Bibliographic record

VenueJournal of Health Psychology · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsFeelingSadnessDiseaseYoung adultQualitative researchEmpathyDevelopmental psychologyAdult careMedicinePsychologyTransition (genetics)Inflammatory bowel diseaseClinical psychologyPsychiatryAngerSocial psychology

Abstract

fetched live from OpenAlex

Parents of young adults with chronic disease are important stakeholders in their child's transition from pediatric to adult care. There remains a gap in characterizing the parent experience during transition. This study describes the experiences of 13 mothers of young adults with inflammatory bowel disease during their child's transition. Most parents expressed fear and sadness about their child transitioning. Themes relating to involvement in their child's adult care included: direct involvement (sub-themes: disease management; logistics of care); and indirect involvement. Reasons for involvement included themes of parent's feelings and child's circumstances. Themes of involvement were discussed in terms of previous research on parenting of children with chronic disease. We suggest that future efforts focus on improving empathy and understanding toward parents of transitioning children and providing resources on how they can best support their child during transition and transfer to 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)0.013
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0030.004
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.146
GPT teacher head0.492
Teacher spread0.346 · 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 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

Citations7
Published2024
Admission routes1
Has abstractyes

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