Costs associated with adverse events during treatment episodes for adult attention-deficit/hyperactivity disorder

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Abstract

Objective: Attention-deficit/hyperactivity disorder (ADHD) medication is frequently associated with adverse events (AEs), but limited real-world data exist regarding their costs from a payer’s perspective. Therefore, this study evaluated the healthcare costs associated with common AEs among adult patients treated for ADHD in the US. Methods: Eligible adults treated for ADHD were identified from a large US claims database (1 October 2015–30 September 2021). A retrospective cohort study design was used to assess excess healthcare costs and costs directly related to AE-specific claims per-patient-per-month (PPPM) associated with 10 selected AEs during ADHD treatment. To account for all costs associated with the AE, treatment episodes with a given AE were compared to similar treatment episodes without this AE. Entropy balancing was used to create cohorts with similar characteristics. Studied AEs were selected based on their prevalence in clinical trials for common ADHD medications and were identified from ICD-10-CM diagnosis codes recorded in claims. Results: Among the 461,464 patients included (mean age: 34.2 years; 45.5% males), 49.4% had ≥1 AE during their treatment episode. Treatment episodes with AEs were associated with statistically significant AE-specific medical costs (erectile dysfunction: $57; fatigue: $82; dry mouth: $90; diarrhea: $162; insomnia: $147; anxiety: $281; nausea: $299; constipation: $356; urinary hesitation: $491; feeling jittery: $723) and excess healthcare costs PPPM (erectile dysfunction: $120, fatigue: $248, insomnia: $265, anxiety: $380, diarrhea: $441, dry mouth: $485, nausea: $709, constipation: $802, urinary hesitation: $1,105, feeling jittery: $1,160; p

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APA

Schein, J., Cloutier, M., Bungay, R., Gauthier-Loiselle, M., & Childress, A. (2024). Costs associated with adverse events during treatment episodes for adult attention-deficit/hyperactivity disorder. Journal of Medical Economics, 27(1), 653–662. https://doi.org/10.1080/13696998.2024.2342749

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