Ontology highlight
ABSTRACT: Background
Web-based mental health interventions have evolved from innovative prototypes to evidence-based and clinically applied solutions for mental diseases such as depression and anxiety. Open-access, self-guided types of these solutions hold the promise of reaching and treating a large population at a reasonable cost. However, a considerable factor that currently hinders the effectiveness of these self-guided Web-based interventions is the high level of nonadherence. The absence of a human caregiver apparently has a negative effect on user adherence. It is unknown to what extent this human support can be handed over to the technology of the intervention to mitigate this negative effect.Objective
The first objective of this paper was to explore what is known in literatu
SUBMITTER: Scholten MR
PROVIDER: S-EPMC5709656 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature