Diabetes-Specific Quality of Life Changes Associated with a Digital Support Intervention: A Study of Adults with Type 1 Diabetes
Bibliographic record
Abstract
Although digital platforms have gained popularity in the delivery of diabetes interventions, few models have focused on type 1 diabetes (T1D), offer different support delivery mechanisms, and involve peer and health professional-led support. TRIFECTA is a six-month multi-modal digital support intervention that includes a 24/7 peer texting group, an “ask-the-expert” web-based portal, and professional-led virtual group-based interactive sessions. This study examined diabetes-specific quality of life (DSQoL) changes following TRIFECTA. DSQoL was measured using Type 1 Diabetes and Life, a self-report survey that allows for subscale analysis in different age groups. Among 60 adults with type 1 diabetes, improvements were observed for overall diabetes-specific quality of life, primarily driven by the 26–45 years cohort. Subscale analysis found DSQoL improved for emotional experiences and daily activities for adults 26–45 years old, and social isolation improved for adults 46–60 years old.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".