Development of a patient-centered conceptual model of the impact of living with autism spectrum disorder
Bibliographic record
Abstract
The aim of this study was to generate a patient-centered conceptual model of the impact of living with autism spectrum disorder, which can be used to support the selection of outcome measures for clinical trials. Following an initial literature review to identify preliminary concepts and inform an interview guide, in-depth face-to-face interviews were conducted with adolescents and adults with autism spectrum disorder (IQ ⩾ 70) (n = 10), as well as parents of children, adolescents, and adults with autism spectrum disorder (IQ ⩾ 70) (n = 26). Data were analyzed using established qualitative research methods. The resultant conceptual model contains three interrelated domains reflecting core symptoms of autism spectrum disorder (communication deficits, socialization deficits, and restrictive, repetitive patterns of behavior), three domains reflecting associated symptoms of autism spectrum disorder (physical, cognitive, and emotional/behavioral), and three domains representing the impacts of living with autism spectrum disorder (impacts on activities of daily living, school/work, and social life). Interview respondents also cited social communication deficits as priority targets for new treatments. The conceptual model provides a patient-centered perspective of relevant concepts of autism spectrum disorder from the perspectives of people with autism spectrum disorder and their parents and offers a valuable tool for identifying valid patient-centered outcome measures for future clinical trials.
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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 | 0.050 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".