User Experience Affects Dropout from Internet-Delivered Dialectical Behavior Therapy.

Background: The emergence of computerized treatment may help reduce the gap between mental health treatment needs and accessibility, but unfortunately, dropout from these interventions is often high. Introduction: To increase the effectiveness of computerized interventions and reduce dropout, particularly among high-risk and clinically complex populations, better understanding of how usable and acceptable (i.e., user experience) these interventions are, informed by human computer interaction research, is needed. This study examines user experience of internet-delivered dialectical behavior therapy (iDBT). The major aim is to explore whether treatment dropout was affected by the complexity of population and/or user experience.
Methods: Secondary analyses were conducted using data from a randomized controlled trial that evaluated iDBT in a sample of 59 suicidal and heavy episodic drinkers. Multivariate logistic regression and chi-square tests were performed to examine the roles of clinical characteristics and user experience in differentiating dropouts and nondropouts.
Results: The only significant pretreatment predictor of dropout was the presence of a barrier, with technological and unknown barriers being most strongly associated with dropping. No clinical characteristics emerged as significant predictors of dropout. Discussion: The current results highlight technological problems as a possible barrier to adherence to computerized interventions. Future research would profit from increased integration of human-computer interaction to identify and solve user experience problems.

RCT Entities:   Population Interventions Outcomes