Insights into healthcare services for youth with autism spectrum disorder transitioning to adulthood: a focus on rural Atlantic Canada
Bibliographic record
Abstract
Individuals with neurodevelopmental disabilities, such as autism spectrum disorder (ASD) often require unique healthcare services. As adolescents age out of the pediatric health system, accessing appropriate healthcare becomes more challenging during the transition to adulthood. This challenge is amplified for individuals with ASD living in rural areas where access to healthcare services is limited. The aim of this qualitative study was to explore the experiences of stakeholders, including individuals with ASD, parents of individuals with ASD, and service providers, during the transition to adulthood in rural communities. MethodsWe recruited 26 individuals including 16 youth, 6 parents and 4 service providers through convenience and snowball sampling methods from Canadian Atlantic provinces. Semi-structured interviews were conducted, focusing on barriers and challenges encountered during the transition.ResultsThematic analysis was employed to identify patterns and themes within the data. Three central themes emerged from the data including transport to and from care, limited resources, and continuity of care.ConclusionThe findings underscore the significant challenges faced by individuals with ASD and their families during the transition to adulthood in rural areas. By understanding and addressing these challenges, stakeholders can work towards implementing informed policies to ensure equitable access to healthcare services for individuals with ASD transitioning to adulthood in rural areas.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".