<i>Support-t</i> , an online training and peer support platform to accompany youth living with type 1 diabetes transitioning to adult healthcare: protocol of an effectiveness-implementation trial
Bibliographic record
Abstract
Introduction Type 1 diabetes (T1D) demands self-management skills, knowledge and confidence to prevent medical complications. Adolescents living with T1D have distinct developmental challenges resulting in a worsening in glycaemic stability, irregular care and an increased risk for complications all while transitioning to adult healthcare. Age-specific online platforms could facilitate transition by fostering self-management education and support. The Support online self-guided training platform has been shown to increase the confidence of adults with T1D in managing their glycaemia. We aim to test the effectiveness of Support-t (ie, adapted for youth), compared with usual care, in improving haemoglobin A1c (HbA1c) and to understand the context of its implementation. Methods We will conduct a multisite, assessor-blinded, randomised controlled, parallel group, two-arm, superiority trial, evaluating effectiveness and implementation of Support-t versus usual care in 200 adolescents (14–16 years old) living with T1D. The active arm will have an 18-month access to Support-t , and their healthcare team will be trained on the platform’s content. The control arm will receive usual care. The primary outcome is HbA1c at 18 months. Secondary outcomes include self-efficacy for diabetes self-management, transition readiness, diabetes-specific quality of life, diabetes distress, continuous glucose monitoring metrics, number of severe hypoglycaemic events, diabetic ketoacidosis, T1D-related emergency department visits and hospitalisations as well as engagement and satisfaction. A subgroup of participants in the active arm and of healthcare providers will be interviewed assessing barriers, facilitators, engagement and fidelity of the intervention. Primary analysis will be by intention-to-treat. The difference in mean HbA1c at 18 months (with a 95% CI) will be calculated between both arms. A cost-effectiveness analysis is also planned. Ethics and dissemination December 8, 2024 version of the protocol was approved by the McGill University Health Centre Research Ethics Board (MP-37-2024-9734). Results will be disseminated through peer-reviewed publications and patient-partners’ network. Trial registration number ClinicalTrials.gov ( NCT05910840 ).
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.026 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.045 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".