Psychotropic Medication Use Among Adolescents and Young Adults with an Autism Spectrum Disorder: Parent Views About Medication Use and Healthcare Services
Bibliographic record
Abstract
OBJECTIVE: Psychotropic medications are frequently used to treat mental health and behavioral issues in adolescents and adults with an autism spectrum disorder (ASD). Although parents of individuals with ASD frequently take on medication management for their child, there is limited literature on parent perspectives of their child's medication use or their views about the healthcare services they receive, particularly in adulthood. The current study examined and compared parents of adolescents and of young adults with ASD regarding their child's psychotropic medication use and their views about healthcare services. METHODS: One hundred parents of adolescents and young adults with ASD (ages 12-30 years) completed an online survey about their experience with their child's healthcare services and medication use. RESULTS: Parents of young adults were less likely to use nonpharmacological services before using a psychotropic medication than were parents of adolescents. Parents of young adults were also less likely to believe that their prescribing healthcare provider had adequate expertise in ASD, and were less satisfied with how their prescriber monitored their child's medication use. CONCLUSION: Findings highlight the need to build capacity among healthcare providers supporting individuals with ASD as they transition into adulthood. There is also a need for improved medication monitoring and increased awareness of the different mental health challenges that individuals with ASD encounter as they age.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".