Cargando…
Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015–2019
BACKGROUND: Attention-deficit hyperactivity disorder is a common disorder that affects both children and adults. However, for adults, little is known about ADHD-attributable medical expenditures. OBJECTIVE: To estimate the medical expenditures associated with ADHD, stratified by age, in the US adult...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361917/ https://www.ncbi.nlm.nih.gov/pubmed/36781580 http://dx.doi.org/10.1007/s11606-023-08075-w |
_version_ | 1785076311607214080 |
---|---|
author | Witrick, Brian Zhang, Donglan Su, Dejun Li, Yan McCall, William V. Hendricks, Brian Shi, Lu |
author_facet | Witrick, Brian Zhang, Donglan Su, Dejun Li, Yan McCall, William V. Hendricks, Brian Shi, Lu |
author_sort | Witrick, Brian |
collection | PubMed |
description | BACKGROUND: Attention-deficit hyperactivity disorder is a common disorder that affects both children and adults. However, for adults, little is known about ADHD-attributable medical expenditures. OBJECTIVE: To estimate the medical expenditures associated with ADHD, stratified by age, in the US adult population. DESIGN: Using a two-part model, we analyzed data from Medical Expenditure Panel Survey for 2015 to 2019. The first part of the model predicts the probability that individuals incurred any medical costs during the calendar year using a logit model. The second part of the model estimates the medical expenditures for individuals who incurred any medical expenses in the calendar year using a generalized linear model. Covariates included age, sex, race/ethnicity, geographic region, Charlson comorbidity index, insurance, asthma, anxiety, and mood disorders. PARTICIPANTS: Adults (18 +) who participated in the Medical Expenditure Panel Survey from 2015 to 2019 (N = 83,776). MAIN MEASURES: Overall and service specific direct ADHD-attributable medical expenditures. KEY RESULTS: A total of 1206 participants (1.44%) were classified as having ADHD. The estimated incremental costs of ADHD in adults were $2591.06 per person, amounting to $8.29 billion nationally. Significant adjusted incremental costs were prescription medication ($1347.06; 95% CI: $990.69–$1625.93), which accounted for the largest portion of total costs, and office-based visits ($724.86; 95% CI: $177.75–$1528.62). The adjusted incremental costs for outpatient visits, inpatient visits, emergency room visits, and home health visits were not significantly different. Among older adults (31 +), the incremental cost of ADHD was $2623.48, while in young adults (18–30), the incremental cost was $1856.66. CONCLUSIONS: The average medical expenditures for adults with ADHD in the US were substantially higher than those without ADHD and the incremental costs were higher in older adults (31 +) than younger adults (18–30). Future research is needed to understand the increasing trend in ADHD attributable cost. |
format | Online Article Text |
id | pubmed-10361917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-103619172023-07-23 Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015–2019 Witrick, Brian Zhang, Donglan Su, Dejun Li, Yan McCall, William V. Hendricks, Brian Shi, Lu J Gen Intern Med Original Research BACKGROUND: Attention-deficit hyperactivity disorder is a common disorder that affects both children and adults. However, for adults, little is known about ADHD-attributable medical expenditures. OBJECTIVE: To estimate the medical expenditures associated with ADHD, stratified by age, in the US adult population. DESIGN: Using a two-part model, we analyzed data from Medical Expenditure Panel Survey for 2015 to 2019. The first part of the model predicts the probability that individuals incurred any medical costs during the calendar year using a logit model. The second part of the model estimates the medical expenditures for individuals who incurred any medical expenses in the calendar year using a generalized linear model. Covariates included age, sex, race/ethnicity, geographic region, Charlson comorbidity index, insurance, asthma, anxiety, and mood disorders. PARTICIPANTS: Adults (18 +) who participated in the Medical Expenditure Panel Survey from 2015 to 2019 (N = 83,776). MAIN MEASURES: Overall and service specific direct ADHD-attributable medical expenditures. KEY RESULTS: A total of 1206 participants (1.44%) were classified as having ADHD. The estimated incremental costs of ADHD in adults were $2591.06 per person, amounting to $8.29 billion nationally. Significant adjusted incremental costs were prescription medication ($1347.06; 95% CI: $990.69–$1625.93), which accounted for the largest portion of total costs, and office-based visits ($724.86; 95% CI: $177.75–$1528.62). The adjusted incremental costs for outpatient visits, inpatient visits, emergency room visits, and home health visits were not significantly different. Among older adults (31 +), the incremental cost of ADHD was $2623.48, while in young adults (18–30), the incremental cost was $1856.66. CONCLUSIONS: The average medical expenditures for adults with ADHD in the US were substantially higher than those without ADHD and the incremental costs were higher in older adults (31 +) than younger adults (18–30). Future research is needed to understand the increasing trend in ADHD attributable cost. Springer International Publishing 2023-02-13 2023-07 /pmc/articles/PMC10361917/ /pubmed/36781580 http://dx.doi.org/10.1007/s11606-023-08075-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Witrick, Brian Zhang, Donglan Su, Dejun Li, Yan McCall, William V. Hendricks, Brian Shi, Lu Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015–2019 |
title | Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015–2019 |
title_full | Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015–2019 |
title_fullStr | Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015–2019 |
title_full_unstemmed | Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015–2019 |
title_short | Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015–2019 |
title_sort | medical expenditures associated with attention-deficit/hyperactivity disorder among adults in the united states by age, 2015–2019 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361917/ https://www.ncbi.nlm.nih.gov/pubmed/36781580 http://dx.doi.org/10.1007/s11606-023-08075-w |
work_keys_str_mv | AT witrickbrian medicalexpendituresassociatedwithattentiondeficithyperactivitydisorderamongadultsintheunitedstatesbyage20152019 AT zhangdonglan medicalexpendituresassociatedwithattentiondeficithyperactivitydisorderamongadultsintheunitedstatesbyage20152019 AT sudejun medicalexpendituresassociatedwithattentiondeficithyperactivitydisorderamongadultsintheunitedstatesbyage20152019 AT liyan medicalexpendituresassociatedwithattentiondeficithyperactivitydisorderamongadultsintheunitedstatesbyage20152019 AT mccallwilliamv medicalexpendituresassociatedwithattentiondeficithyperactivitydisorderamongadultsintheunitedstatesbyage20152019 AT hendricksbrian medicalexpendituresassociatedwithattentiondeficithyperactivitydisorderamongadultsintheunitedstatesbyage20152019 AT shilu medicalexpendituresassociatedwithattentiondeficithyperactivitydisorderamongadultsintheunitedstatesbyage20152019 |