Using a Learning Collaborative Model to Disseminate Cognitive Processing Therapy to Community-Based Agencies.

Published

Journal Article

Although effective treatments for posttraumatic stress disorder exist, their use in community settings is disappointingly low. Training alone does not necessarily lead to adoption. To address this problem, we trained community clinicians in cognitive processing therapy, an evidence-based treatment for posttraumatic stress disorder, using a Learning Collaborative, an intensive training methodology focused on both clinical training and developing sustainability. Sixty clinicians within 18 agencies began the year-long, team-based Learning Collaborative. Clinicians attended three in-person Learning Sessions, received weekly consultation, and submitted audio-recorded sessions to be rated for fidelity. Clinicians were rostered as approved treatment providers if they completed all training requirements. Additionally, we engaged leadership from each agency to build a sustainable practice. Clinicians trained through the Learning Collaborative demonstrated a high degree of fidelity to the treatment (average competence ratings "satisfactory" to "good"), and most (68%) were rostered as approved treatment providers. Patients treated by clinician trainees exhibited significant symptom reductions (d = 1.68 and 1.28 for posttraumatic stress and depression symptoms, respectively, among treatment completers). At a 6-month follow-up, 95% of rostered clinicians and 100% of agencies with rostered clinicians were still providing the treatment. These results suggest that the Learning Collaborative model is a promising approach for the dissemination and implementation of evidence-based treatments for adult posttraumatic stress disorder.

Full Text

Duke Authors

Cited Authors

  • LoSavio, ST; Dillon, KH; Murphy, RA; Goetz, K; Houston, F; Resick, PA

Published Date

  • January 2019

Published In

Volume / Issue

  • 50 / 1

Start / End Page

  • 36 - 49

PubMed ID

  • 30661565

Pubmed Central ID

  • 30661565

Electronic International Standard Serial Number (EISSN)

  • 1878-1888

Digital Object Identifier (DOI)

  • 10.1016/j.beth.2018.03.007

Language

  • eng

Conference Location

  • England