The predictive value of patient, therapist, and in-session ratings of motivational factors early in remote cognitive behavioural therapy for severe health anxiety.

ABSTRACT

OBJECTIVES: Remote psychotherapy and the prevalence of Severe Health Anxiety (SHA) are both growing as a result of the COVID-19 pandemic. Remotely delivered Cognitive Behavioural Therapy (rCBT) for SHA is evidenced as effective, but many who seek help do not benefit. Motivational processes can influence outcomes, but it is unclear what assessment methods offer the best clinical utility in rCBT for SHA. DESIGN: This study compared the predictive validity of patient, therapist and in-session ratings of motivational factors taken at session two of rCBT for SHA among high healthcare users experiencing multimorbidity. METHODS: Motivational factors were assessed for 56 participants who attended at least two sessions of CBT for SHA delivered via video-conferencing or telephone. Following session two, therapists and patients completed online assessments of patient motivation. Two trained observers also rated motivational factors and therapeutic alliance from in-session interactions using session two recordings and transcripts. Multilevel modelling was used to predict health anxiety and a range of secondary health outcomes from motivation assessments. RESULTS: Where patients were more actively engaged in discussion of positive changes during session two, greater outcome improvements ensued in health anxiety and all secondary outcomes. Conversely, larger proportions of session two spent describing problems predicted poorer outcomes. Therapist and patient assessments of motivation did not predict health anxiety, but therapist assessments of client confidence and motivation predicted all secondary outcomes. CONCLUSIONS: Motivation remains an important process in CBT when delivered remotely, and motivational factors may predict outcomes more consistently from in-session interactions, compared to self-reports.