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Patient activation in psychotherapy interactions: Developing and validating the consultation interactions coding scheme
Author(s) -
Malins Sam,
Moghaddam Nima,
Morriss Richard,
Schröder Thomas,
Brown Paula,
Boycott Naomi,
Atha Chris
Publication year - 2020
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/jclp.22910
Subject(s) - alliance , session (web analytics) , psychology , competence (human resources) , coding (social sciences) , structuring , psychotherapist , therapeutic relationship , clinical psychology , applied psychology , social psychology , computer science , statistics , mathematics , finance , world wide web , political science , law , economics
Objective We describe the development of an instrument aiming to offer interaction‐level feedback based on “patient activation”: client confidence and perceived ability to manage their health. Method Twenty‐two session‐transcripts from cognitive behavioral therapy with high‐users of healthcare were analyzed thematically, producing themes describing in‐session interactions. Themes were subcategorized using patient activation theory into high and low activation presentations. Two coders new to the process were trained to use this consultation interactions coding scheme (CICS). Inter‐rater reliability (IRR), convergent validity, and clinical utility were assessed and illustrated with extreme cases. Results Good‐to‐excellent IRR was achieved. The CICS, therapeutic alliance, and therapist competence were correlated. Client engagement in session‐structuring interactions correlated with outcome. The highest CICS scorer showed multiple outcome‐improvements, the lowest scorer reported deteriorations. Conclusions This study presents the CICS's psychometric properties and indicates the value of client engagement in session‐structuring.