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Record W4387940657 · doi:10.1136/bmjopen-2023-076524

Qualitative study exploring the perspectives of emerging adults with type 1 diabetes after transfer to adult care from a paediatric diabetes centre in Montreal, Canada

2023· article· en· W4387940657 on OpenAlexafffundabout
Monica Vaillancourt, Élise Mok, Jennifer Frei, Kaberi Dasgupta, Elham Rahme, Lorraine Bell, Deborah Da Costa, Meranda Nakhla

Bibliographic record

VenueBMJ Open · 2023
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsMcGill University Health CentreMcGill University
FundersFonds de Recherche du Québec - SantéDiabetes Canada
KeywordsMedicineDiabetes mellitusQualitative researchFamily medicineEpidemiologyType 1 diabetesGerontologyType 2 diabetesInternal medicineEndocrinologySocial science

Abstract

fetched live from OpenAlex

INTRODUCTION: Among youth living with type 1 diabetes (T1D), the increasing demands to diabetes self-care and medical follow-up during the transition from paediatric to adult care has been associated with greater morbidity and mortality. Inadequate healthcare support for youth during the transition care period could exacerbate psychosocial risks and difficulties that are common during emerging adulthood. The current investigation sought to explore the post-transfer perceptions of emerging adults living with T1D relating to their transition to adult care. RESEARCH DESIGN AND METHODS: Thirty-three emerging adults living with T1D were recruited during paediatric care and contacted for a semistructured interview post-transfer to adult care (16.2±4.2 months post-transfer) in Montreal, Canada. We analysed data using thematic analysis. RESULTS: We identified four key themes: (1) varied perceptions of the transition process from being quick and abrupt with minimal advice or information from paediatric healthcare providers (HCP) to more positive including a greater motivation for self-management and the transition being concurrent with the developmental period; (2) facilitators to the transition process included informational and tangible social support from HCPs and family or friends, a positive relationship with adult HCP and a greater ease in communicating with the adult care clinic or adult HCP; (3) barriers to adequate transition included lack of advice or information from paediatric HCPs, loss of support from HCPs and friends or family, the separation of healthcare services and greater difficulty in making appointments with adult clinic or HCP and (4) participants recommendations for improving the transition included increasing the length and frequency of appointments in adult care, having access to educational information, and better transition preparation from paediatric HCPs. CONCLUSIONS: The experiences and perceptions of emerging adults are invaluable to guide the ongoing development and improvement of transition programmes for childhood-onset chronic illnesses.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Qualitativehigh
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.119
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0150.007
Scholarly communication0.0040.001
Open science0.0020.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.091
GPT teacher head0.438
Teacher spread0.347 · 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

Labeled directly by 2 models reading the full record.

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

Citations8
Published2023
Admission routes3
Has abstractyes

Explore more

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