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Implementing highly specialized and evidence-based pediatric eating disorder treatment: protocol for a mixed methods evaluation

28 Mar 2015

Background:
Eating disorders, which include anorexia nervosa and bulimia nervosa, are common in adolescent females and can have serious emotional and physical consequences, including death. Despite our knowledge about the severity of these illnesses, previous research indicates that adolescent patients are not receiving the best available treatment with fidelity. The main goal of this project is to reduce the knowledge gap between what research indicates is the best known treatment and what is actually delivered in clinical practice. Informed by the National Implementation Research Network model and the Consolidated Framework for Implementation Research meta-theory, our primary study aim is to increase the capacity of Ontario-based therapists to provide family-based treatment, by providing training and ongoing supervision.Methods/designWe will use a multi-site case study with a mixed method pre/post design to examine several implementation outcomes across four eating disorder treatment programs. We will provide a training workshop on family-based treatment as well as ongoing monthly supervision. In addition, we will assemble implementation teams at each site and coach them by phone on a monthly basis regarding any process issues. Our main outcomes include fidelity to the treatment model using quantitative evaluation of audio-recorded therapy sessions, as well as qualitative analysis of the perceptions of the implementation process using audio-recorded focus groups with all clinicians and administrators involved in the study.DiscussionTo our knowledge, this is the first study to evaluate an implementation strategy for an evidence-based treatment for eating disorders. Challenges to date include obtaining ethics approval at all sites, and recruitment. This research will help to inform future studies on how to best implement evidence-based treatments in this field.

Click here to view the full article which appeared in Implementation Science