Abstract

AbstractObjectiveTherapist responsivity is recognised as an important factor for improved psychotherapy process and outcome. Previous research (Aviram et al., 2016) has found that increased therapist responsivity during key moments (e.g., disagreements) is particularly impactful to post‐treatment outcome. However, global scores of the observational coding system used in prior studies fail to capture more precise micromoments and specific therapist responsivity within disagreement episodes that may contribute to outcome. In response, this study analysed therapy disagreement episodes with more precise coding measures that capture moment‐to‐moment sequences of therapist and client utterances.MethodSixty disagreement episodes (segment beginning with clear client disagreement with therapist and ending once they shifted to a new topic) previously abstracted from early working phase sessions of a randomised controlled trial (RCT) of cognitive behavioural therapy with and without integrated motivational interviewing (Hara et al., 2022) were utilised. To gauge responsivity within these episodes, two therapist behaviours (demand and support) were examined in response to specific moments of client counter‐change talk (CCT) statements using microlevel, moment‐to‐moment coding systems. This resulted in indices of appropriate (CCT‐Support) and inappropriate/errors in responsivity (CCT‐Demand). Responsivity indices were compared with the gold standard observational coding measure for managing ambivalence and resistance, the Motivational Interviewing Treatment Integrity scale (MITI).ResultsWhile appropriate responsivity did not predict outcome, responsivity errors significantly predicted poorer outcome at one year post‐treatment. Additionally, the capacity of responsivity errors for predicting outcome was equivalent to that obtained from the global observational measure.ConclusionThese findings have significant implications for training by emphasising the need for therapists to be sensitive to context and to acquire skill at detecting and responsively managing specific moments to avoid responsivity errors and improve therapy outcomes.

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