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It Takes a Village: A Mixed Method Analysis of Inner Setting Variables and Dialectical Behavior Therapy
Matthew S Ditty1, Sara J Landes2,3, Andrea Doyle4
1The Ebright Foundation, LLC, 2800 Lancaster Ave., Suite 6, Wilmington, DE, 19810, USA. mditty@ebrightfoundation.org.
Team cohesion, communication, climate, and supervision positively impact dialectical behavior therapy (DBT) implementation. These inner setting factors are crucial for effectively integrating DBT elements in clinical practice.
Area of Science:
- Psychology
- Psychiatry
- Healthcare Management
Background:
- Dialectical Behavior Therapy (DBT) is an evidence-based treatment for complex mental health conditions.
- Successful implementation of DBT relies on understanding organizational factors.
- The Consolidated Framework for Implementation Research provides a structure for studying implementation.
Purpose of the Study:
- To explore the relationship between inner setting variables and the implementation of Dialectical Behavior Therapy (DBT).
- To identify specific interpersonal and organizational factors influencing DBT adoption.
Main Methods:
- Mixed-methods study combining quantitative surveys and qualitative interviews.
- Online survey administered to 79 intensively trained DBT clinicians.
- Sequential qualitative interviews conducted with 20 clinicians.
Main Results:
- Four interpersonal variables—team cohesion, team communication, team climate, and supervision—were significantly correlated with the quantity of DBT elements implemented.
- Qualitative themes supported the quantitative findings regarding these interpersonal variables.
- Some variables showed associations with implementation through either quantitative or qualitative data, but not both.
Conclusions:
- Inner setting variables, particularly team dynamics and supervision, are critical for effective DBT implementation.
- A multi-faceted approach is needed to understand the complex interplay of factors influencing evidence-based practice adoption.
- Further research can explore additional variables impacting implementation fidelity.
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