Development of a questionnaire to assess the quality of service trajectories in autism spectrum disorder from families' perspective
Bibliographic record
Abstract
BACKGROUND: ETAP-1 was created to evaluate the quality of services trajectory from families' perspective. The items of ETAP-1 were developed from previous studies on integrated care, existing quality assessments, and consultations with families and experts in evaluation and in autism spectrum disorder (ASD). METHOD: The questionnaire was completed by 200 parents of children aged 5 and under who were recently diagnosed with ASD or intellectual disability. Of these, 183 received diagnostic evaluation through a clinic specialized in ASD; the other 17 underwent diagnostic evaluation in hospital settings. RESULTS: Factor analysis supported the a priori dimensions of quality and distinctions between experiences before and during diagnostic evaluation. The instrument had high internal consistency, convergent and discriminant validity with other measures and was sensitive to differences in service delivery models. DISCUSSION: ETAP-1 is useful in organizing information on families' experiences throughout their services trajectories and according to a dynamic perspective.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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".