JOURNAL ARTICLE

Developing a Digital Single-Session Intervention to Promote Trauma-Informed Caregiving: Insights From Foster Caregivers and Child Welfare Providers.

  • Published In: Journal of Cognitive Psychotherapy, 2025, v. 39, n. 4. P. 321 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Thakur, Hena; Sotomayor, Ian; Zapata, Juan Pablo; Bergstrom, Tyra; Huang, Mingjing; Hill, Shannon; Rapoport, Andy; Berry, Katie; Davison, Emily; Schleider, Jessica L. 3 of 3

Abstract

Youth in foster care exhibit behavioral and emotional challenges, often linked to complex trauma exposure. There is a paucity of accessible evidence-based interventions to support foster caregivers in addressing youths' needs. Self-guided, digital single-session interventions (SSIs) represent a promising solution. As the first phase of an intervention mapping project, we conducted a systematic, qualitative needs assessment with foster caregivers (n = 13) and child welfare providers (n = 6) to inform the design of a trauma-informed SSI for foster caregivers. A team-based, multistage analytic coding strategy guided by grounded theory principles and consisting of inductive and deductive approaches was used. Thematic content analysis and axial coding identified resulting themes. Three areas of challenges and desired support were identified, including validating foster caregivers and addressing systemic challenges, supporting caregivers in navigating foster care transitions, and addressing trauma and developmental challenges in foster youth. Implications for the design of a community-informed SSI are discussed. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Cognitive Psychotherapy. 2025/10, Vol. 39, Issue 4, p321
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0889-8391
  • DOI:10.1891/JCP-2025-0028
  • Accession Number:190405109
  • Copyright Statement:Copyright of Journal of Cognitive Psychotherapy is the property of Springer Publishing Company, Inc. 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.)

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