JOURNAL ARTICLE

An evaluation of compassion‐focused therapy groups for women accessing a specialist perinatal service in England.

  • Published In: Counselling & Psychotherapy Research, 2025, v. 25, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Lawrence, Kate; Nicholson, Hannah; Iwanow, Magdalena; Johnston, Tara; Skelhorn, Lucy; Toole, Emily; O'Shaughnessy, Ruth 3 of 3

Abstract

Background: The perinatal period is a potentially vulnerable time for new mothers and infants, and can trigger self‐criticism and feelings of shame or blame. Compassion‐focussed therapy (CFT) focusses on developing an alternative to shame and self‐criticism. Aim: The aim of this study was to evaluate a transdiagnostic CFT group for women accessing a specialist perinatal service. Method: Quantitative data were obtained from 114 people who engaged in the intervention. Participants completed a range of pre‐ and post‐group self‐report outcome measures that assessed self‐criticism and self‐compassion, mental health, parent–infant bonding and personalised goals. Findings: Statistically significant improvements were found on all measures, suggesting that attending the CFT group resulted in meaningful change. Conclusions: Results suggest that CFT groups are feasible and efficacious for women in the perinatal period across a range of clinical presentations. Limitations of this study are considered together with future directions for research into perinatal CFT. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Counselling & Psychotherapy Research. 2025/06, Vol. 25, Issue 2, p1
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2025
  • ISSN:1473-3145
  • DOI:10.1002/capr.12860
  • Accession Number:186283172
  • Copyright Statement:Copyright of Counselling & Psychotherapy Research 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.)

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