CONNECT: using electronic devices (e.g. smartphones, smartwatches) to predict relapse of psychosis | C4C

Conventional methods of monitoring and assessing psychosis involve face-to-face assessments that rely on individuals recalling their symptoms and emotional states over the period since their last assessment., understandably, recall can be inaccurate, resulting in imprecise assessment and treatment planning, and assessment is not frequent enough to detect early warning signs, thereby increasing the risk of relapse.T The study aims to recruit a cohort of relapse-prone individuals sufficient in size, collect passively and actively sensed data, with high sampling frequency, to develop a risk prediction model for estimating an individual’s risk of relapse, which gets updated as more information becomes available about them over time.