Exploring the Association Between Social Determinants of Health and Telehealth Utilization for Attention-Deficit/Hyperactivity Disorder Among Adults Using Machine Learning: A Cross-Sectional Study.

Weijian Qin¹, Yunshu Yang^1,2, Shiqin Tong¹, Dongze Li³, Hang Liu⁴, Zongbo Li², Hawking Yam², Jin Huang⁵, Jose Florez-Arango^1,6

¹Department of Population Health Science, Weill Cornell Medicine, New York, NY 10065, USA.

²Division of Health Policy and Management, University of Minnesota, Minneapolis, MN 55455, USA.

³School of Social Work, Columbia University, New York, NY 10027, USA.

⁴Department of Economics, University of Southern California, Los Angeles, CA 90089, USA.

⁵School of Public Health, Stanford University, Stanford, CA 94305, USA.

⁶Center for Biomedical Informatics & Biostatistics, University of Arizona, Tucson, AZ 85721, USA.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) affects an estimated 6% of adults in the United States and contributes to a significant economic burden. Telehealth has emerged as a vital tool in the management of ADHD, offering improved access to care, especially for individuals in underserved communities. Despite its growing role, there remain critical gaps in understanding how social…

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