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Using epidemiological evidence to forecast population need for early treatment programmes in mental health: a generalisable Bayesian prediction methodology applied to and validated for first-episode psychosis in England

2020-04-27

Abstract excerpt

<p>Background: Mental health policy makers require evidence-based information to optimise effective care provision based on local need, but tools are unavailable. Aims To develop and validate a population-level prediction model for need for early intervention in psychosis (EIP) care for first-episode psychosis (FEP) in England up to 2025, based on epidemiological evidence and demographic projections. <h4>Method:</...

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Literature Corpus work
daf12060-0aed-520a-b036-8b4b810032cb
DOI
10.31234/osf.io/bvcgu
Open publication

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Using epidemiological evidence to forecast population need for early treatment programmes in mental health: a generalisable Bayesian prediction methodology applied to and validated for first-episode psychosis in EnglandDOI 10.31234/osf.io/bvcgu
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