Therapists' self-reported drift from dialectical behavior therapy techniques for eating disorders

Eat Behav. 2018 Jan:28:20-24. doi: 10.1016/j.eatbeh.2017.12.001. Epub 2017 Dec 12.

Abstract

Objective: Research has shown that clinicians underuse or omit techniques that constitute an essential part of evidence-based therapies. However, it is not known whether this is the case in DBT for eating disorders. The aims of this study were; 1) exploring the extent to which DBT techniques were used by self-identified DBT clinicians treating eating disorders; 2) determining whether therapists fell into distinct groups, based on their usage of DBT techniques; and 3) examining whether clinician characteristics were related to the use of such techniques.

Method: Seventy-three clinicians offering DBT for eating disorders completed an online survey about their use of specific DBT techniques. They also completed measures of personality and intolerance of uncertainty.

Results: In relation to the first aim, the pattern of use of DBT techniques showed a bimodal distribution - most were used either a lot or a little. Considering the second aim, clinicians fell into two groups according to the techniques that they delivered - one characterized by a higher use of DBT techniques and the other by a higher use of techniques that were specific to the treatment of eating disorders, rather than DBT methods. Finally, more experienced clinicians were more likely to be in the 'DBT technique-focused' group.

Discussion: DBT clinicians are encouraged to implement both sets of techniques (DBT techniques and standard techniques for the treatment of eating disorders) in an integrated way. Training, supervision and the use of manuals are recommended to decrease therapist drift in DBT.

Keywords: Dialectical behavior therapy; Eating disorders; Therapist drift.

MeSH terms

  • Adult
  • Aged
  • Behavior Therapy / methods*
  • Feeding and Eating Disorders / therapy*
  • Female
  • Health Care Surveys
  • Health Personnel / psychology*
  • Health Personnel / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Self Report