Predicting the Behavioral Health Needs of Asian Americans in Public Mental Health Treatment: A Classification Tree Approach
If you need an accessible version of this item, please email your request to digschol@iu.edu so that they may create one and provide it to you.
Date
2024-09
Language
American English
Embargo Lift Date
Department
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
Abstract
As experiencing pandemic related hardships (social isolation, financial distress, and health anxiety) and racial discrimination worsened Asian American’s mental health, a study examined unique behavioral health characteristics of Asian Americans compared to White and Black Americans in behavioral health treatment. Assessment data was analyzed using descriptive and chi-squared automatic interaction detection (CHAID), a machine learning approach, to detect additional differences among groups. Asian Americans had distinct patterns of behavioral health needs compared to White and African Americans. Key takeaways inform culturally responsive practice.
Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Walton B., Hong, S., Kwon, H., Kim, H., & Moynihan, S. (2024). Predicting the behavioral health needs of Asian Americans in public mental health treatment: A classification tree approach (Research Brief No. 3). Indiana University School of Social Work.