Healthcare Costs Associated with Adverse Events in Pediatric Patients with Attention-Deficit/Hyperactivity Disorder (ADHD): A Claims-Based Study
Bibliographic record
Abstract
INTRODUCTION: Adverse events (AEs) are common in pediatric patients receiving attention-deficit/hyperactivity disorder (ADHD) treatment; however, real-world studies on their costs from a payer's perspective are lacking. Therefore, this study investigated the healthcare costs associated with selected AEs among pediatric patients receiving ADHD treatment in the United States. METHODS: Using a retrospective cohort design, patients aged 6-17 years who received pharmacologic treatment for ADHD were identified from US claims data (October 1, 2015-September 30, 2023) and were categorized into AE and AE-free cohorts, separately for each studied AE. The eight selected AEs had statistically significant risk differences in a matching-adjusted indirect comparison of ADHD treatments and were identifiable from claims with ICD-10-CM codes. Entropy balancing was used to create cohorts with similar characteristics. Total excess healthcare costs and costs associated with AE-specific claims per patient per month (PPPM) were compared across balanced cohorts with vs. without a given AE. RESULTS: Overall, 393,919 patients (mean age: 12.5 years; male: 65.4%; stimulant monotherapy: 71.8%) were included, among whom 13.6% had ≥ 1 studied AE that resulted in a medical encounter during their treatment episode. The most prevalent AEs were upper abdominal pain (5.2%), vomiting (3.4%), and insomnia (3.2%). All AEs were associated with substantial AE-specific costs PPPM (asthenia: $196; somnolence: $171; insomnia: $169; vomiting: $106; dizziness: $92; upper abdominal pain: $91; irritability: $75; decreased weight: $46) and total excess healthcare costs PPPM (asthenia: $1178; somnolence: $821; vomiting: $427; insomnia: $404; dizziness: $380; upper abdominal pain: $336; irritability: $231; decreased weight: $219; all p < 0.01). CONCLUSIONS: AEs were common during ADHD treatment episodes in pediatric patients and were associated with significant healthcare costs. ADHD treatments with a favorable safety profile could help alleviate the economic burden of AEs.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".