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Record W3022756010 · doi:10.1210/jendso/bvaa046.1211

MON-631 Quality of Life in a Pragmatic Trial of a Type 1 Diabetes Adolescent Transition Program

2020· article· en· W3022756010 on OpenAlexaff
Joseph Leung, Naseem Alyahyawi, Heywood Choi, Laura Stewart, Tricia S. Tang, Shazhan Amed

Bibliographic record

VenueJournal of the Endocrine Society · 2020
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsAbbotsford Veterinary ClinicUniversity of British Columbia
Fundersnot available
KeywordsGlycemicMedicinePsychological interventionAdult careDescriptive statisticsIntervention (counseling)Quality of life (healthcare)PediatricsOutreachGerontologyDiabetes mellitusFamily medicineYoung adultPsychiatryNursingEndocrinology

Abstract

fetched live from OpenAlex

Abstract Introduction: Adolescents with type 1 diabetes (T1D) experience ongoing deterioration in their glycemic control as they transition to young adulthood.1 Several trials have evaluated possible transition interventions to ameliorate the care gap between pediatric and adult services in T1D care, although it remains unclear which are the most appropriate.2,3 In this pragmatic study, we sought to determine whether the change in quality of life pre- and post-transition was different between adolescents with T1D accessing a transition program versus those who did not. Methods: Between 2016-2018, we recruited 68 adolescents with T1D at their last pediatric diabetes clinic visit from a tertiary diabetes center without a structured transition program (control group) and 33 from a community-based outreach clinic with a transition program (intervention group) consisting of a transition coordinator, joint transition clinics, and pediatric and adult clinics located in the same building. At the time of transition and at one-year post-transition, we conducted chart reviews and administered surveys, including the SF-8 quality of life questionnaire. Analysis included descriptive statistics and linear regression models. Results: The control and intervention groups had the following characteristics, respectively: age at transition 18.4 years vs. 20.5 years (p<0.001); female 47% vs. 55% (p=0.49); average A1C at the time of transition 8.2% vs. 9.1% (p=0.0053). There was no statistically significant difference in the change in SF-8 scores for each of the eight domains (general health, physical functioning, role physical, bodily pain, vitality, social functioning, mental health, and role emotional) between the two groups. However, older age at transition was associated with an improvement in SF-8 vitality domain scores between the pre- and post-transition timepoints (p=0.034). Female sex was associated with a worsening in SF-8 vitality domain (p=0.004) and social functioning domain (p=0.015) scores between the pre- and post-transition timepoints. Finally, higher average A1C in the year prior to transition was associated with a worsening in SF-8 role physical domain scores between the pre- and post-transition timepoints (p=0.002). Conclusions: Quality of life scores in the vitality domain improved in the first year post-transition amongst young adults with T1D who transitioned at an older age, suggesting that a later transition may benefit adolescents with T1D. Additionally, worsening quality of life scores amongst young women and in those with higher pre-transition A1Cs suggest that these populations may require more specialized care at the time of transition. References: 1. Foster et al. Diabetes Technol Ther. 2019;21(2):66-72. 2. White et al. Lancet Child Adolesc Health. 2017;1(4):274-83. 3. Spaic et al. Diabetes Care. 2019;42(6):1018-26.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.109
GPT teacher head0.443
Teacher spread0.334 · 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 designNon-randomized trial
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
Published2020
Admission routes1
Has abstractyes

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