Literature DB >> 21827258

Patient factors predicting dropout from supportive-expressive psychotherapy for patients with personality disorders.

Barbro Thormählen, Robert M Weinryb, Kristina Norén, Bo Vinnars, Margaretha Bågedahl-Strindlund.   

Abstract

In this prospective study of psychiatric outpatients with personality disorders, the authors examined patient factors that predicted dropout from supportive-expressive (SE) psychotherapy. Eighty patients were randomized to 40 sessions of time-limited SE psychotherapy. The dropout rate was 35%; 50% of dropouts terminated psychotherapy before Session 7, and 10% were nonengagers. A model including age, type of Axis II cluster, total amount of interpersonal distress, and degree of focus on 1 particular type of interpersonal problem predicted 71% of the completers and 50% of the dropouts. The prediction model was more accurate for men than women. The findings regarding age and type of Axis II cluster are consistent with those of prior studies. The findings for total amount of interpersonal distress and degree of focus on 1 particular type of interpersonal problem are in accordance with key concepts in interpersonal theory and research. Thus, patients' manner of relating to others is associated with dropout. Researchers are encouraged to examine the association between interpersonal factors and dropout in greater depth.

Entities:  

Year:  2003        PMID: 21827258     DOI: 10.1093/ptr/kpg039

Source DB:  PubMed          Journal:  Psychother Res        ISSN: 1050-3307


  6 in total

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2.  Evaluation of a primary care adult mental health service: Year 2.

Authors:  Patrick McHugh; John Brennan; Niall Galligan; Claire McGonagle; Michael Byrne
Journal:  Ment Health Fam Med       Date:  2013-01

3.  EARLY WITHDRAWAL FROM MENTAL HEALTH TREATMENT: IMPLICATIONS FOR PSYCHOTHERAPY PRACTICE.

Authors:  Marna S Barrett; Wee-Jhong Chua; Paul Crits-Christoph; Mary Beth Gibbons; D Casiano; Don Thompson
Journal:  Psychotherapy (Chic)       Date:  2008-06-01

4.  Caregiver involvement in behavioural health services in the context of child welfare service referrals: a qualitative study.

Authors:  Mónica Pérez Jolles; Jodon Anne Jodi Flick; Rebecca Wells; Emmeline Chuang
Journal:  Child Fam Soc Work       Date:  2016-02-18

5.  Developing a decision tool to identify patients with personality disorders in need of highly specialized care.

Authors:  M Goorden; E M C Willemsen; C A M Bouwmans-Frijters; J J V Busschbach; M J Noomx; C M van der Feltz-Cornelis; C A Uyl-de Groot; L Hakkaart-van Roijen
Journal:  BMC Psychiatry       Date:  2017-08-31       Impact factor: 3.630

Review 6.  Effectiveness of Psychological Treatments for Borderline Personality Disorder and Predictors of Treatment Outcomes: A Multivariate Multilevel Meta-Analysis of Data from All Design Types.

Authors:  Sophie A Rameckers; Rogier E J Verhoef; Raoul P P P Grasman; Wouter R Cox; Arnold A P van Emmerik; Izabella M Engelmoer; Arnoud Arntz
Journal:  J Clin Med       Date:  2021-11-29       Impact factor: 4.241

  6 in total

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