- Oral presentation
- Open Access
CBT-E informed practice in an adult outpatient service: How effective is it in a real world setting?
- Lara Ryan1Email author,
- Miles Bore1,
- Stella Dyer2 and
- Dyani Nevile2
https://doi.org/10.1186/2050-2974-3-S1-O2
© Ryan et al. 2015
- Published: 23 November 2015
Keywords
- Cognitive Behavioural Therapy
- Eating Disorder
- Post Treatment
- Remission Rate
- Psychiatric Illness
Eating disorders are one of the most dangerous psychiatric illnesses, yet amongst the most complex to treat. Remission rates remain poor and are complicated by non-treatment factors. Recently, a shift has been made to enhanced Cognitive Behavioural Therapy (CBT-E) that is transdiagnostic in its scope. This project aimed to examine the efficacy of the current treatments offered for patients with eating disorders at the Centre for Psychotherapy. 'CBT-E-informed' was one of these treatments.
Method
Participants were recruited from the Centre for Psychotherapy's treatment program for eating disorders. The use of CBT-e has been defined as "informed" because the therapists who were trained in CBT-e were trialling it for the first time, and no adherence measures were undertaken. Treatment outcome measures were administered at baseline, after six months of treatment, after 12 months of treatment, and again at one year post treatment follow up. It was part of a larger study that originally aimed to examine all treatment modalities offered. As such, 17 participants were offered CBT-e, three were offered ACT, and two were offered conversational model therapy. The treatments were not compared due to small numbers.
Results
Participants identified as having been seen using ‘CBT-E informed’, significantly improved on measures of eating disorder psychopathology, both globally and at subscale level, as measured by scores on the Eating Disorder Examination Questionnaire. Participants also demonstrated improvements in work and social adjustment.
Conclusion
From the broader data set, ‘CBT-E informed’ was able to demonstrate significant treatment gains and further our knowledge on factors affecting treatment implementation. Several measures were found to predict those who dropped out of treatment, giving insight into the non-treatment factors that complicate recovery.
Authors’ Affiliations
Copyright
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
