Integration of data-driven analysis in the usability evaluation of internet interventions for mental health care

This study identifies types of patient-generated data that can be considered in the usability evaluation of internet interventions for mental health care. The paper discusses how we can leverage patient-generated data within the scope of an internet-based cognitive remediation program developed for residual symptoms in depression treatment based on the person-based approach. The study proposes a model of data and discusses how we can use a data-driven analysis for usability evaluation in the internet intervention.