Caregiver openness in emotionally focused family therapy: A critical shift.

  • Published In: Family Process, 2023, v. 62, n. 4. P. 1459 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Quinn, Brittany; Davis, Sean; Greaves, Bryson; Furrow, James; Palmer‐Olsen, Lisa; Woolley, Scott 3 of 3

Abstract

Through the application of a discovery‐oriented task analysis, this research delineated specific therapist behaviors that resulted in a successful caregiver openness event in emotionally focused family therapy (EFFT). EFFT experts were recruited via email and asked to submit family therapy recordings where they believed a caregiver openness event occurred. Ten family therapy recordings were submitted by three experts. Within these recordings, 12 caregiver openness events were discovered and critically analyzed. Nine themes were identified and interventions therapists applied to accomplish these themes were delineated using the emotionally focused therapy‐coding scheme (EFT‐CS). These themes included: (1) validating and reframing the child's protected stance, (2) processing the impact of the child's unmet attachment longings, (3) validating the caregiver's blocked relational stance, (4) expanding caregiving intentions, (5) enacting the caregiver's intentions to meet the child's attachment longings, (6) processing the enactment, (7) processing and promoting caregiver accessibility to the child's response, (8) heightening the caregiver's accessible stance, and (9) enhancing shifting family dynamics. Additional findings, implications for clinical practice, training, and future research are discussed. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Family Process. 2023/12, Vol. 62, Issue 4, p1459
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2023
  • ISSN:0014-7370
  • DOI:10.1111/famp.12902
  • Accession Number:174032500
  • Copyright Statement:Copyright of Family Process is the property of Wiley-Blackwell 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.