View clinical trials related to First Episode Psychosis.
Filter by:Individuals with first-episode psychosis (FEP) are at high-risk for several poor functional and clinical outcomes, including suicide. Coordinated Specialty Care (CSC) is a multidisciplinary, team-based intervention known to improve such outcomes, including suicide risk. However, 30-50% of patients disengage from CSC, thereby limiting its impact. This pilot study will develop and test feasibility of a behavioral change program that uses moderate financial incentives to encourage treatment engagement in 2 CSC programs. A single-arm of 80 patient-participants at these two clinics will be recruited to assess feasibility and acceptability from patient perspectives. Additionally,15 clinicians at these two clinics will be recruited to assess feasibility and acceptability from clinician perspectives, and 50 clinicians from peer clinics not involved in the intervention will be recruited to assess scalability of the intervention. The trial will feature an three-month period for recruitment and baseline data collection and will subsequently feature three intervention periods (3 months each) where modifications to the interventions will be tested (each informed by the feasibility and acceptability findings of the prior period) with the aim of sequentially improving it.
Psychosis is a severe, common, and disabling psychological disorder. An epidemiological study conducted in England reported an incidence of 34 new cases per 100,000 person-years, with a peak between 16 and 19 years of age. Following a first psychotic episode, two clinical evolutions are possible: thymic psychosis (17%) and non thymic psychosis (83%). The first includes bipolar disorders with a psychotic component and major depressive disorders with a psychotic component; the second, other psychotic disorders, mainly schizophrenia. One of the major difficulties encountered is the frequent impossibility of specifying the type of psychosis at the beginning of the psychotic episode. However, these disorders require different therapies, particularly medication. This leads to a delay in diagnosis with a high risk of relapse. The semiological study of these diseases being carried out within the framework of interviews, it seems interesting to be able to record these and to obtain a quantitative and objective measurement through the study of language. The use of machine learning has made it possible to distinguish patients with schizophrenia from those with bipolar disorder by graphical analysis of language in a more efficient way than with clinical scales.Moreover, it is possible to identify linguistic markers: thus, an alteration of syntactic structures and prosody would be more present in non-thymic than in thymic psychoses. Paraclinical markers are also emerging. In particular, the link between inflammation and mental disorders.For example, an increase in IL-8 has been found only in thymic psychoses. At the radiological level, distinct changes in the volume of grey matter have been shown between thymic and nonthymic psychoses. In this context, it seems essential to be able to distinguish these disorders as early as possible through the combined use of clinical and paraclinical markers, and to be able to better understand their pathophysiology.
This study aims to estimate the effect of a 3-month High Intensity Interval Training on antipsychotic-induced weight gain in patients with a first episode of psychosis, as well as to determine whether these effects are maintained 9 months after the intervention has ended.