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AIM: Prognosis following early psychosis is highly variable. Long-term prognostic information from research studies is available in only a few areas. We sought to understand how well routine discharge information allows prediction of long-term readmission prognosis. METHODS: We reviewed the records of 239 people leaving Early Intervention services, after an average of 2.5 years, and counted the number of relapses. The distribution was modelled and extrapolated to a predicted 10 year outcome. Model predictions were compared with published data. RESULTS: Numbers of relapses varied substantially, with 59% having no relapses before discharge, and 5% having 4 or more. Model predictions for 10-year outcome were close to the observed data. CONCLUSIONS: A simple model can describe the distribution of numbers of relapses among people discharged from EI services, and predict long-term outcomes matching those observed in formal research. This low-cost approach could allow EI services to develop locale-specific prognostic information.

Original publication

DOI

10.1111/eip.12413

Type

Journal article

Journal

Early Interv Psychiatry

Publication Date

04/2018

Volume

12

Pages

240 - 242

Keywords

patient readmission, prognosis, psychotic disorders, recurrence, statistical models, Early Medical Intervention, Female, Humans, Male, Models, Statistical, Patient Discharge, Patient Readmission, Prognosis, Psychotic Disorders, Recurrence