Assessing readiness for transition from paediatric to adult health care: Revision and psychometric evaluation of the Am I <scp>ON TRAC</scp> for Adult Care questionnaire
Bibliographic record
Abstract
AIM: To refine and psychometrically test the Am I ON TRAC for Adult Care questionnaire. BACKGROUND: Inadequate transition to adult care for adolescents with special healthcare needs has been associated with greater risk of treatment non-adherence, lack of medical follow-up, increased morbidity and mortality. Presently, there are no well-validated measures assessing adolescents' readiness to transition from paediatric to adult medical care. DESIGN: Descriptive cross-sectional study. METHODS: The Am I ON TRAC for Adult Care questionnaire was refined to improve the instrument's methodological soundness. A literature review informed the revisions. A convenience sample of 200 adolescents, 12-19 years, was recruited from four outpatient clinics at a paediatric hospital in Western Canada between April-June 2012. Construct validity was evaluated by Exploratory Factory Analysis; concurrent validity was assessed using the Psychosocial Maturity Index. Internal consistency was evaluated by computing Cronbach's alpha estimates. RESULTS: Factor analysis of the knowledge items identified a 14-item unidimensional scale. Knowledge and behaviour sub-scale scores increased with age, with a stronger relationship between knowledge and age. Psychosocial maturity correlated with both sub-scale scores, but had a stronger association with behaviour. Psychosocial maturity and age had a weak but significant correlation suggesting age is a loose proxy for maturity. Only 27% of 17-year olds, but 62% 18-year olds, scored above the behaviour cut-off for transition readiness. CONCLUSION: The revised Am I ON TRAC for Adult Care questionnaire is a psychometrically sound measure that has potential to be used as a readiness assessment tool in both clinical practice and research.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".