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Patient activation in psychotherapy interactions: Developing and validating the consultation interactions coding
Sam Malins1, Nima Moghaddam2, Richard Morriss1
1Division of Psychiatry and Applied Psychology, University of Nottingham, UK.
This study developed a tool to measure patient activation, finding that client engagement in session structuring positively impacts health outcomes in cognitive behavioral therapy.
Area of Science:
- Psychology
- Healthcare Research
Background:
- Patient activation, defined as a client's confidence and perceived ability to manage their health, is crucial for effective treatment.
- Understanding in-session interactions that foster patient activation is key to improving healthcare outcomes.
Purpose of the Study:
- To develop an instrument for interaction-level feedback based on patient activation.
- To assess the psychometric properties and clinical utility of the developed coding scheme.
Main Methods:
- Thematic analysis of 22 cognitive behavioral therapy session transcripts from high healthcare users.
- Development and training of two coders on the Consultation Interactions Coding Scheme (CICS).
- Assessment of inter-rater reliability (IRR), convergent validity, and clinical utility.
Main Results:
- Good-to-excellent IRR was achieved for the CICS.
- Client engagement in session-structuring interactions correlated positively with treatment outcomes.
- The highest CICS scores were associated with multiple outcome improvements, while the lowest scores indicated deterioration.
Conclusions:
- The Consultation Interactions Coding Scheme (CICS) demonstrates sound psychometric properties.
- Client engagement in session-structuring interactions is a valuable indicator of therapeutic success.
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