Abstract
BACK: Service disengagement is common in subjects at CHR-P (clinical high risk for psychosis), potentially worsening daily functioning and increasing the duration of untreated psychosis. That is why to identify baseline predictors of service disengagement could help better tailoring follow-up on every CHR-P individual. AIMS: Since there are few studies on this topic, the goals of this examination were: (1) to calculate service disengagement rates in a CHR-P sample along 2-years of follow-up; and (2) to examine the most relevant predictive factors of disengagement at baseline. METHODS: All young CHR-P participants were enrolled within the 'Parma At-Risk Mental States' (PARMS) protocol. At entry, the Global Assessment of Functioning (GAF) scale and the positive and negative syndrome scale (PANSS) were completed. Cox regression analyses were used. RESULTS: Hundred and eighty CHR-P subjects were recruited in this examination. During the follow-up, a 2-year service disengagement prevalence rate of 15% was observed. A statistically robust predictive factor of service disengagement was a lower prescription of antidepressant drug at entry. Other relevant baseline predictive factors were migrant status, higher GAF score, lower levels of anxious-depressive symptoms and a lower acceptance of psychosocial interventions. DISCUSSION: Baseline presence of anxious-depressive features in CHR-P individuals could favour engagement to specialized EIP services. However, implementing strategies to improve patients' motivation and involvement in care are needed.