Chelsea Arnold|Kristi-Ann Villagonzalo|Denny Meyer|John Farhall|Fiona Foley|Michael Kyrios|Neil Thomas
Predicting engagement with an online psychosocial intervention for psychosis: Exploring individual- and intervention-level predictors
Swinburne University of Technology|Swinburne University of Technology|Swinburne University of Technology|La Trobe University|Melbourne Health|Swinburne University of Technology|Flinders University|Swinburne University of Technology|Monash Alfred Psychiatry Research centre|The Alfred Hospital|Monash University
individuals psychosis demonstrate positive attitudes towards utilising digital technology mental health treatment although preliminary research suggests digital interventions feasible acceptable population little known best promote engagement resources candidate predictors include therapist support sources motivation recovery style understanding factors predict engagement aid effective design implementation digital interventions improve clinical benefitsthis study aimed investigate demographic psychological treatment variables predict overall type engagement psychosocial online intervention individuals psychosisninetyeight participants history psychosis given access web program containing modules selfmanagement recovery asked use flexibly pace activity automatically logged system baseline measures demographics recovery style motivation administered participants randomised receive either website access alone website access plus weekly asynchronous emails online coach 12 weeks log baseline assessment data used negative binomial regressions examine predictors depth breadth use intervention period logistic regression used examine impact predictor variables usage profiles active passivedepth breadth engagement positively predicted receiving email support low levels externally controlled motivations website use older age tertiary education significant interaction level controlled motivation condition email breadth depth engagement receiving asynchronous emails associated increased engagement individuals low high levels externally controlled motivations receiving email support autonomous motivations treatment predicted active use websiteasynchronous email support promote engagement online interventions individuals psychosis potentially enabling selfmanagement illness improving clinical outcomes however using online interventions due external motivating factors may low levels engagement intervention irrespective coaching provided findings may guide design implementation future online interventions population