Using stimulant medication for children with ADHD: what do parents say? A brief report.
Bibliographic record
Abstract
INTRODUCTION: Long-term adherence to stimulant treatment for Attention Deficit Hyperactivity Disorder (ADHD) is frequently poor. Since parents are the key decision makers regarding their child's health care, their thoughts regarding medication use are crucial to whether children take prescribed stimulants. To develop an understanding of what parents think about using stimulants to treat their children's ADHD symptoms we consulted groups of parents about their experiences. METHODS: Using qualitative methods informed by phenomenology, three focus groups of parents were asked to describe their experiences parenting a child with ADHD and using stimulant medications for treatment. Participants were 17 mothers and fathers of 14 children with ADHD, ages 7-14 years, who had received detailed diagnostic assessments and had used stimulants. Focus group dialogue was recorded and transcribed. Using established methods of data analysis, themes were identified and explored. RESULTS: Accepting that one's child has ADHD and needs treatment is a difficult and lengthy process, often accompanied by confusion and self-doubt. Parents find the choice to use stimulant treatment particularly challenging given the conflicting opinions they hear from family, friends and professionals. CONCLUSIONS: Universally, parents want to do what is best for their child. Adverse effects, concerns about stigmatization, and the child's dislike of taking pills, all contribute to parents' decisions to discontinue medication even when the child shows symptomatic benefit.
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 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".