BACKGROUND
Multicomponent digital interventions offer the potential for tailored and flexible interventions that aim to address high attrition rates and increase engagement, an area of concern in digital mental health. However, increased flexibility in usage makes it difficult to determine which components lead to improved treatment outcomes.
OBJECTIVE
This study aimed to identify user profiles on Horyzons, an 18-month digital relapse prevention intervention that incorporates therapeutic content and social networking, along with clinical, vocational and peer support, and to examine the predictive value of these user profiles for treatment outcomes. A secondary objective was to compare each user profile with young people receiving treatment as usual (TAU).
METHODS
Participants comprised 82 young people (16-27 years of age) with access to Horyzons and 84 receiving TAU, recovering from first-episode psychosis. Six-month usage data from the therapy and social networking components of Horyzons were used as features for K-means clustering for joint trajectories to identify user profiles. Social functioning, psychotic symptoms, depression and anxiety were assessed at baseline and six-month follow-up. General linear mixed models were used to examine the predictive value of user profiles for treatment outcomes, and between each user profile with TAU.
RESULTS
Three user profiles were identified based on system usage metrics including: (a) low usage; (b) maintained usage of social components; and (c) maintained usage of both therapy and social components. The maintained therapy and social group showed improvements in social functioning (F (2, 51) = 3.58; P = .04), negative symptoms (F (2, 51) = 4.45; P = .02) and overall psychiatric symptom severity (F (2, 50) = 3.23; P = .048) compared to the other user profiles. This group also showed improvements in social functioning (F (1, 62) = 4.68; P = .03), negative symptoms (F (1, 62) = 14.61; P = <.001) and overall psychiatric symptom severity (F (1, 63) = 5.66; P = .02) compared to TAU. Conversely, the maintained social group showed increases in anxiety compared to TAU (F (1, 57) = 7.65; P = .01). No differences were found between the low usage group and TAU on treatment outcomes.
CONCLUSIONS
Continued engagement with both therapy and social components might be key in achieving long-term recovery. Maintained social usage and low usage outcomes were broadly comparable to TAU, emphasizing the importance of maintaining engagement for improved treatment outcomes. Although the social network may be a key ingredient to increase sustained engagement, as users engaged with this more consistently, it should be leveraged as a tool to engage young people with therapeutic content to bring about social and clinical benefits.
Examining clinical correlates, treatment outcomes and mediators in young people with comorbid obsessive–compulsive disorder and autism spectrum disorder
