Literature DB >> 28345940

Early development of mechanisms of change as a predictor of subsequent change and treatment outcome: The case of working alliance.

Sigal Zilcha-Mano1, Paula Errázuriz2.   

Abstract

OBJECTIVE: Advanced statistical tools have created the opportunity to systematically examine the effect of early trajectories in predictors of therapeutic change, such as early alliance development patterns, on outcome. To date, however, these methods have been used almost exclusively to examine the effect of the development of early symptoms on later ones. Development patterns of alliance early in treatment, and their association with treatment outcome, have received much theoretical attention, but few systematic examinations have been conducted so far.
METHOD: We integrated exploratory cluster analysis with the accumulated theoretical and empirical knowledge on patterns of alliance development to identify distinct patterns of early alliance development across the 1st 4 sessions of treatment in a sample of 166 patients receiving psychotherapy.
RESULTS: Three patterns of early alliance development were identified: early gradual strengthening, early repaired rupture, and early unrepaired rupture. The gradual strengthening and the repaired rupture patterns early in treatment predicted alliance strengthening later in treatment, whereas the unrepaired rupture pattern early in treatment predicted alliance stability later in treatment. The effect of early alliance development patterns on treatment outcome was moderated by pretreatment interpersonal problems: For patients with better interpersonal functioning at intake, the gradual strengthening and the repaired rupture patterns showed better outcomes, whereas for those with poorer interpersonal functioning at intake, the early unrepaired rupture pattern showed better outcomes.
CONCLUSIONS: Findings suggest that early alliance development patterns affect treatment process and outcome. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Entities:  

Mesh:

Year:  2017        PMID: 28345940     DOI: 10.1037/ccp0000192

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN: 0022-006X


  6 in total

Review 1.  Confessions of a New York rupture researcher: An insider's guide and critique.

Authors:  J Christopher Muran
Journal:  Psychother Res       Date:  2017-12-18

2.  Machine learning and natural language processing in psychotherapy research: Alliance as example use case.

Authors:  Simon B Goldberg; Nikolaos Flemotomos; Victor R Martinez; Michael J Tanana; Patty B Kuo; Brian T Pace; Jennifer L Villatte; Panayiotis G Georgiou; Jake Van Epps; Zac E Imel; Shrikanth S Narayanan; David C Atkins
Journal:  J Couns Psychol       Date:  2020-07

3.  Opioid use disorder with chronic pain increases disease burden and service use.

Authors:  R Ross MacLean; Mehmet Sofuoglu; Elina Stefanovics; Robert Rosenheck
Journal:  Psychol Serv       Date:  2021-12-30

4.  Identifying the most suitable treatment for depression based on patients' attachment: study protocol for a randomized controlled trial of supportive-expressive vs. supportive treatments.

Authors:  Sigal Zilcha-Mano; Tohar Dolev; Liat Leibovich; Jacques P Barber
Journal:  BMC Psychiatry       Date:  2018-11-12       Impact factor: 3.630

5.  Proof of Concept of the Contribution of the Interaction between Trait-like and State-like Effects in Identifying Individual-Specific Mechanisms of Action in Biological Psychiatry.

Authors:  Sigal Zilcha-Mano; Nili Solomonov; Jonathan E Posner; Steven P Roose; Bret R Rutherford
Journal:  J Pers Med       Date:  2022-07-23

6.  Development of the Therapeutic Alliance and its Association With Internet-Based Mindfulness-Based Cognitive Therapy for Distressed Cancer Patients: Secondary Analysis of a Multicenter Randomized Controlled Trial.

Authors:  Else Bisseling; Linda Cillessen; Philip Spinhoven; Melanie Schellekens; Félix Compen; Marije van der Lee; Anne Speckens
Journal:  J Med Internet Res       Date:  2019-10-18       Impact factor: 5.428

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.