Unmet education and training needs of rheumatology health professionals in adolescent health and transitional care
Bibliographic record
Abstract
OBJECTIVES: To determine the perceived education and training needs of health professionals involved in transitional care for adolescents with juvenile idiopathic arthritis (JIA). METHODS: Two distinct questionnaires to identify transitional issues in JIA were distributed to key health professionals (n = 908) and clinical personnel involved in the implementation of a transitional care programme (n = 22). RESULTS: The first survey was completed by 263 professionals. Education needs were reported by 114 (43%) of health professionals. Transition issues and informational resources were the most frequently reported areas of need. The second survey was completed by 22 clinical personnel who rated 'lack of training', 'lack of teaching materials geared towards adolescents' and 'limited clinic time' as the main barriers to providing developmentally appropriate care to adolescents. CONCLUSION: Unmet education and training needs of health care professionals exist in key areas of transitional care and provide useful directions for the development of future training programmes.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".