Reasons for Treatment Changes in Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Chart Review Study
Bibliographic record
Abstract
INTRODUCTION: This study aimed to examine the reasons underlying treatment changes among pediatric patients with attention-deficit/hyperactivity disorder (ADHD). METHODS: Data were obtained through online medical chart abstraction (08/2021-09/2021). Eligible patients with ADHD had initiated a treatment regimen at ages 6-17 and within 1-5 years of chart abstraction. Reasons contributing to treatment changes were analyzed for a randomly selected treatment episode. ADHD/treatment-related complication rate was also described. Results were reported overall and among children (ages 6-12) and adolescents (ages 13-17), separately. Physicians' perspective on adherence among their child, adolescent, and adult patients was assessed through an online survey. RESULTS: A total of 156 physicians abstracted 434 patient charts (235 children + 199 adolescents). Mean patient age was 11.3 years, and 68.7% were male. Inadequate/suboptimal symptom management was the most common reason for treatment discontinuation (50/83 [60.2%]), add-on (17/21 [81.0%]), and dose increase (189/237 [79.7%]). Patient/parent/family attitude/dislike of medication and ADHD/treatment-related complications were common reasons for treatment discontinuation, add-on, switch, and dose decrease. Overall, 42.4% of patients had ≥ 1 documented ADHD/treatment-related complication, insomnia/sleep disturbances being the most common (9.7%). Among patients with ≥ 1 complication, 75.5% reported the experience/fear of complications had a negative impact on their treatment adherence. Results were similar among children and adolescents. Physicians reported taking actions toward patients' non-adherence by further educating patients, closer monitoring, and changing the prescribed ADHD medication. CONCLUSION: Lack of effectiveness and ADHD/treatment-related complications are important reasons for treatment changes among children and adolescents with ADHD, highlighting the need for more effective and tolerable treatments to mitigate the burden of ADHD.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".