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Predictors Of Adherence To A Publicly Available Self-Guided Digital Mental Health Intervention, Mercedes G. Woolley, Korena S. Klimczak, Carter H. Davis, Michael E. Levin
Predictors Of Adherence To A Publicly Available Self-Guided Digital Mental Health Intervention, Mercedes G. Woolley, Korena S. Klimczak, Carter H. Davis, Michael E. Levin
Psychology Faculty Publications
Low adherence to self-guided digital mental health interventions (DMHIs) have raised concerns about their real-world effectiveness. Naturalistic data from self-guided DMHIs are often not available, hindering our ability to assess adherence among real-world users. This study aimed to analyze 3 years of user data from the public launch of an empirically supported 12-session self-guided DMHI, to assess overall program adherence rates and explore predictors of adherence. Data from 984 registered users were analyzed. Results showed that only 14.8% of users completed all 12 modules and 68.6% completed less than half of the modules. Users who were younger, had milder depression, …