JOURNAL ARTICLE

Developing a Culturally Competent Health and Behavioral Health Assessment Tool for Rural Schools.

  • Published In: Children & Schools, 2025, v. 47, n. 4. P. 229 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Abura-Meerdink, Gloria; Hopson, Laura M; Cariaga-Lo, Liza; Jones, Laci; Carlson, Catherine; Perdomo, Sylvia; Hill-Gazero, Chelsea; Crang, Mary; Rincon, Karina; Rodriguez, Jose; Quick, Renita 3 of 3

Abstract

This article focuses on the development and pilot implementation of the ABC-30, a brief integrated health risk assessment designed for school-based health clinics in rural Alabama. The assessment was created through a university–community partnership involving SMART (School Health Model for Academics, Reaching All, Transforming Lives) clinics, which provide integrated physical and behavioral health services in rural schools. The ABC-30 addresses barriers of previous assessments by being shorter, culturally relevant, and feasible for diverse clinic staff to administer, enabling earlier identification and follow-up for students at risk. Preliminary results from screening 1,625 students across five rural schools indicate high completion rates and effective identification of students needing health or behavioral health services. The article emphasizes the importance of community engagement, cultural adaptation, and integrated care models in improving health assessments and access to services in rural school settings.

Additional Information

  • Source:Children & Schools. 2025/10, Vol. 47, Issue 4, p229
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:1532-8759
  • DOI:10.1093/cs/cdaf019
  • Accession Number:188620506
  • Copyright Statement:Copyright of Children & Schools is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.