Autism comes to the hospital: The experiences of patients with autism spectrum disorder, their parents and health-care providers at two Canadian paediatric hospitals
Bibliographic record
Abstract
Youth with autism spectrum disorder are a vulnerable, often poorly understood patient group, who may experience periodic and chronic health challenges, in addition to their primary developmental social and communication problems. Developmental and behavioural challenges can complicate management of acute health-care needs. To date, there is an absence of empirical research exploring the hospital experiences of children and youth with autism spectrum disorder, their families and their health-care providers. Therefore, the purpose of this study was to understand these experiences in order to inform hospital-based care. A total of 42 participants were interviewed (youth with autism spectrum disorder, their parents and health-care providers) at one of two Canadian paediatric hospitals, representing 20 distinct cases of patients with autism spectrum disorder. Results from the qualitative analyses indicated that patients with autism spectrum disorder faced several challenges in the context of health-care delivery in the hospital setting, as did their families and health-care provider team. Problems identified included communication and sensory challenges, and the degree of flexibility of health-care providers and the hospital organization. Supportive health-care providers were those who acknowledged parents as experts, inquired about the requirements of patients with autism spectrum disorder and implemented strategies that accommodated the unique clinical presentation of the individual patient. These recommendations have wide-reaching utility for hospital and health-care practices involving this patient group.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".