Internet Interventions (Mar 2022)
Factors associated with treatment uptake, completion, and subsequent symptom improvement in a national digital mental health service
Abstract
Digital mental health services (DMHS) have proven effectiveness and play an important role within the broader mental health system by reducing barriers to evidence-based care. However, improved understanding of the factors associated with successful treatment uptake, treatment completion and positive clinical outcomes will facilitate efforts to maximise outcomes. Previous studies have demonstrated that patient age is positively associated, and initial symptom severity negatively associated with treatment uptake and treatment completion rates in both DMHS and other mental health services. The current study sought to extend these findings by examining the effect of other patient characteristics, in particular, self-reported psychosocial difficulties, using data from a large-scale national DMHS. Using a prospective uncontrolled observational cohort study design, we collected self-reported demographic, psychosocial and clinical data from 15,882 patients who accessed the MindSpot Clinic, Australia, between 1 January and 31 December 2019. Using a series of univariate regression models and multivariate classification algorithms we found that older age, higher educational attainment, and being in a relationship were all positively associated with uptake, completion and significant symptom improvement, while higher initial symptom severity was negatively associated with those outcomes. In addition, self-reported psychosocial difficulties had a significant negative impact on uptake, completion, and symptom improvement. Consistent with previous literature, the presence of these characteristics in isolation or in combination have a significant impact on treatment uptake, completion, and symptomatic improvement. Individual and multiple psychosocial difficulties are associated with reduced capacity to participate in treatment and hence an increased treatment burden. Identifying patients with lower capacity to complete treatment, modifications to treatments and the provision of supports to reduce treatment burden may promote greater engagement and completion of treatments offered by digital mental health services.
