Parent and health care provider perspectives related to disclosure of autism spectrum disorder in pediatric emergency departments
Bibliographic record
Abstract
Children and youth with autism spectrum disorder presenting in emergency departments face potential cognitive, sensory, and behavioral challenges, and it is crucial for providers to be aware of their unique needs. However, disclosure of a child's autism spectrum disorder can be complex for parental caregivers and is not well understood. This qualitative study utilized a grounded theory approach and analyzed data from 28 parents and 16 health care providers related to autism spectrum disorder disclosure within two Canadian pediatric emergency departments. Study results indicated that participants identified benefits and risks of disclosure. Encouraging understanding, expediting service, and preparing health care providers for working with children with autism spectrum disorder were identified as benefits of disclosure. Risks related to disclosure included potential negative attributions toward the children and parental discomfort in disclosing a diagnosis in front of the children. Parents discussed the health care encounters they experienced following disclosure and provided recommendations for improving the disclosure process in the emergency department. It is recommended that future research explore the experiences of parents who choose not to disclose their child's autism spectrum disorder. Greater awareness of the disclosure experience and the development of resources and tools to support communication between parents and health care providers are also recommended.
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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 | 0.010 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".