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Courses of helping alliance in the treatment of people with severe mental illness in Europe: a latent class analytic approach.
- Source :
- Social Psychiatry & Psychiatric Epidemiology; Mar2015, Vol. 50 Issue 3, p363-370, 8p
- Publication Year :
- 2015
-
Abstract
- Purpose: The helping alliance (HA) between patient and therapist has been studied in detail in psychotherapy research, but less is known about the HA in long-term community mental health care. The aim of this study was to identify typical courses of the HA and their predictors in a sample of people with severe mental illness across Europe over a measurement period of one year. Methods: Self-ratings of the HA by 588 people with severe mental illness who participated in a multicentre European study (CEDAR; ISRCTN75841675) were examined using latent class analysis. Results: Four main patterns of alliance were identified: (1) high and stable (HS, 45.6 %), (2) high and increasing (HI, 36.9 %), (3) high and decreasing (HD, 11.3 %) and (4) low and increasing (LI, 6.1 %). Predictors of class membership were duration of illness, ethnicity, and education, receipt of state benefits, recovery, and quality of life. Conclusions: Results support findings from psychotherapy research about a predominantly stable course of the helping alliance in patients with severe mental illness over time. Implications for research and practice indicate to turn the attention to subgroups with noticeable courses. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09337954
- Volume :
- 50
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Social Psychiatry & Psychiatric Epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 100883689
- Full Text :
- https://doi.org/10.1007/s00127-014-0963-4