Economic burden of attention-deficit/hyperactivity disorder among adults in the United States: a societal perspective
Bibliographic record
Abstract
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is associated with substantial clinical burden as individuals transition to adulthood, including higher rates of comorbidities, mortality, incarceration, and psychiatric hospitalizations than in individuals without ADHD. These higher rates likely contribute to substantial economic burden as well. OBJECTIVE: To provide a comprehensive evaluation of the economic burden associated with ADHD in the US adult population. METHODS: Direct health care costs were obtained by using claims data from the IBM MarketScan Research Databases (January 1, 2017, through December 31, 2018). Direct non–health care costs and indirect costs were estimated on the basis of the literature and government publications. Excess costs incurred by adults with ADHD during 2018 were evaluated from a societal perspective; per-patient costs were extrapolated to the national level. RESULTS: An estimated 8.7 million adults live with ADHD in the United States, resulting in a total societal excess cost attributable to ADHD of $122.8 billion ($14,092 per adult). Excess costs of unemployment ($66.8 billion; 54.4%) comprised the largest proportion of the total, followed by productivity loss ($28.8 billion; 23.4%) and health care services ($14.3 billion; 11.6%). CONCLUSIONS: ADHD in adults is associated with substantial economic burden. DISCLOSURES: This study was funded by Otsuka Pharmaceutical Development & Commercialization, Inc. (Otsuka). The study sponsor contributed to and approved the study design, participated in the interpretation of data, and reviewed and approved the manuscript. Schein is an employee of Otsuka. Gagnon-Sanschagrin, Davidson, Kinkead, Cloutier, Guérin, and Lefebvre are employees of Analysis Group, Inc., a consulting company that provided paid consulting services to Otsuka to develop and conduct this study and write the manuscript. Adler has received research support from Shire/Takeda, Sunovion, and Otsuka; consulting fees from Bracket, Shire/Takeda, Sunovion, Otsuka, the State University of New York (SUNY), the National Football League (NFL), and Major League Baseball (MLB); and royalty payments (as inventor) from New York University (NYU) for license of adult ADHD scales and training materials. Childress has received research support from Allergan, Takeda/Shire, Emalex, Akili, Ironshore, Arbor, Aevi Genomic Medicine, Neos Therapeutics, Otsuka, Pfizer, Purdue, Rhodes, Sunovion, Tris, KemPharm, Supernus, and the US Food and Drug Administration; was on the advisory board of Takeda/Shire, Akili, Arbor, Cingulate, Ironshore, Neos Therapeutics, Otsuka, Pfizer, Purdue, Adlon, Rhodes, Sunovion, Tris, Supernus, and Corium; received consulting fees from Arbor, Ironshore, Neos Therapeutics, Purdue, Rhodes, Sunovion, Tris, KemPharm, Supernus, Corium, Jazz, and Tulex Pharma; received speaker fees from Takeda/Shire, Arbor, Ironshore, Neos Therapeutics, Pfizer, Tris, and Supernus; and received writing support from Takeda/Shire, Arbor, Ironshore, Neos Therapeutics, Pfizer, Purdue, Rhodes, Sunovion, and Tris. Part of the material in this study was presented as a poster at the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) 2021 Virtual Meeting; May 17-20, 2021.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 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".