Predicting symptom response and engagement in a digital intervention among individuals with schizophrenia and related psychoses.

ABSTRACT:

Introduction

Despite existing work examining the effectiveness of smartphone digital interventions for schizophrenia at the group level, response to digital treatments is highly variable and requires more research to determine which persons are most likely to benefit from a digital intervention.

Materials and methods

The current work utilized data from an open trial of patients with psychosis (N = 38), primarily schizophrenia spectrum disorders, who were treated with a psychosocial intervention using a smartphone app over a one-month period. Using an ensemble of machine learning models, pre-intervention data, app use data, and semi-structured interview data were utilized to predict response to change in symptom scores, engagement patterns, and qualitative impressions

SUBMITTER: Price GD 

PROVIDER: S-EPMC9403124 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature