JOURNAL ARTICLE

Reunification, reconsidered: Presenting an integrative, single‐therapist framework for resolving parent–child contact problems.

  • Published In: Journal of Marital & Family Therapy, 2025, v. 51, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Singh, Terry; Mader, Joel 3 of 3

Abstract

Providing therapy to families of separation and divorce can be a challenging area of practice for marriage and family therapists, particularly when a child refuses contact with a parent. Several forms of "reunification therapy" designed to overcome resist/refuse dynamics between a child and parent have been proposed, with significant variation across the conceptualization of factors contributing to parent–child contact problems and the resulting treatment models that have been described. In an effort to design an overarching integrative framework for conducting family reunification therapy that is informed by available evidence, a review of the current literature is conducted. Following this review, an integrative single‐therapist framework for resolving parent–child contact problems is presented. Over the course of three successive treatment "stages," this framework permits a marriage and family therapist to conduct reunification therapy in an evidence‐informed manner along general systemic therapeutic principles while permitting flexibility with respect to the specific interventions selected. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Marital & Family Therapy. 2025/01, Vol. 51, Issue 1, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0194-472X
  • DOI:10.1111/jmft.12745
  • Accession Number:184014858
  • Copyright Statement:Copyright of Journal of Marital & Family Therapy 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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