Using Person-Reported Outcomes (PROs) to Motivate Young People with Diabetes
Bibliographic record
Abstract
PURPOSE OF REVIEW: This manuscript describes how person-reported outcomes (PROs) can be utilized in care for young people with diabetes in the context of motivation. RECENT FINDINGS: The use of person-reported outcome measures (PROMS) in clinical care is feasible and acceptable, and helps focus the clinical encounter on life domains important to the person with diabetes. Results with regard to impact on self-management and glycemic outcomes are limited. Motivation is an important factor for self-management. Based on self-determination theory, autonomy-supportive, person-centered, and collaborative communication by diabetes care providers is associated with better outcomes. PROMs can facilitate this conversation. Understanding of youth motivation for maintaining or improving self-management behaviors requires a person-centered approach. PROMs can be used to facilitate an autonomy-supportive and person-centered conversation in clinical care. Training diabetes care providers in autonomy-supportive, person-centered conversation skills to discuss PROs might help to tap into youth's motivation, but further research is needed.
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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 | 0.008 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".