Full Citation
Title: Improving prediction of psychosis risk
Citation Type: Dissertation/Thesis
Publication Year: 2022
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Abstract: Individuals at clinical high risk for psychosis (CHR-P) experience attenuated positive psychotic symptoms and impaired level of overall functioning. Currently, methods available for detecting individuals at risk are sub-optimal with early detection services for CHR-P individuals identifying only a small minority (5-12%) of first episode psychosis (FEP) cases prior to illness onset. Moreover, once CHR-P subjects have been identified, available methods of predicting their clinical outcomes have limited accuracy. This thesis aims to improve the detection of individuals at high risk of developing psychosis (Part A), and the estimation of psychosis risk in this population (Part B). It will also review gaps in current knowledge and provide directions for future research (Part C).
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Authors: Oliver, Dom
Institution: King's College London
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Pages: 1-193
Data Collections: IPUMS USA
Topics: Health
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