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.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".