Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

OBJECTIVES: SlowMo therapy is a pioneering blended digital therapy for paranoia, augmenting face-to-face therapy with an interactive 'webapp' and a mobile app. A recent large-scale trial demonstrated small-moderate effects on paranoia alongside improvements in self-esteem, worry, well-being and quality of life. This paper provides a comprehensive account of therapy personalisation within this targeted approach. DESIGN: Case examples illustrate therapy delivery and descriptive data are presented on personalised thought content. METHOD: Thought content was extracted from the webapp (n = 140 participants) and coded using newly devised categories: Worries: (1) Persecutory, (2) Negative social evaluation, (3) Negative self-concept, (4) Loss/life stresses, (5) Sensory-perceptual experiences and (6) Health anxieties. Safer thoughts: (1) Safer alternative (specific alternatives to worries), (2) Second-wave (generalised) coping, (3) Positive self-concept, (4) Positive activities and (5) Third-wave (mindfulness-based) coping. Data on therapy fidelity are also presented. RESULTS: Worries: 'Persecutory' (92.9% of people) and 'Negative social evaluation' (74.3%) were most common. 'General worries/ life stresses' (31.4%) and 'Negative self-concept' (22.1%) were present in a significant minority; 'Health anxieties' (10%) and 'Sensory-perceptual' (10%) were less common. Safer thoughts: 'Second-wave (general) coping' (85%), 'Safer alternatives' (76.4%), 'Positive self-concept' (65.7%) and 'Positive activities' (64.3%) were common with 'Third-wave' (mindfulness) coping observed for 30%. Fidelity: Only three therapy withdrawals were therapy related. Session adherence was excellent (mean = 15.2/16; SD = 0.9). Behavioural work was conducted with 71% of people (119/168). CONCLUSION: SlowMo therapy delivers a targeted yet personalised approach. Potential mechanisms of action extend beyond reasoning. Implications for cognitive models of paranoia and causal interventionist approaches are discussed.

Original publication




Journal article


Psychol Psychother

Publication Date



blended therapy, causal interventionism, cognitive behavioural therapy, digital, human-centred design, paranoia, psychosis, user-centred design