A review of emergency department visits made by youth and adults with autism spectrum disorder from the parent perspective
Bibliographic record
Abstract
Purpose Past research has shown individuals with autism spectrum disorder (ASD) visit hospital emergency departments (ED) at high rates. In order to assist individuals with ASD, their families and health care providers to improve ED care, it is important to understand these encounters in greater detail. The purpose of this paper is to provide a descriptive summary of the ED experiences of adolescents and adults with ASD, from the perspective of their families. Design/methodology/approach A subset of data from a larger prospective cohort study was used. Specifically, 46 parents of adolescents and adults with ASD provided details concerning 49 ED visits over a 12-month period. Findings Results suggest a range of presentations requiring ED use, and also diverse profiles of those with ASD who visited the ED, in terms of age, gender, and ASD severity. While overall degree of satisfaction with care received in the ED was high, parents provided recommendations to improve the ED experiences for their family members with ASD. Originality/value This is the first study to provide detailed accounts of ED visits from the perspective of parents of adolescents and adults with ASD. Families play an important role in the lives of individuals with ASD across the lifespan and it is important to include their perspective to improve hospital-based care for those with ASD.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".