Abstract

BackgroundRecent incidence estimates from population-based health administrative data in Ontario suggest an incidence rate of non-affective psychosis of 55.6 per 100,000 person-years in the general population. However, early psychosis intervention (EPI) programs across the province estimate that the treated incidence of first-episode psychosis is in the range of 12 to 13 per 100,000 per year, which corresponds to frequently cited estimates of the incidence of schizophrenia. This discrepancy between population-based estimates of incidence and the treated incidence reported by EPI programs suggests that there may be additional cases of psychotic disorder receiving services elsewhere in the health care system. Our objective was to estimate the incidence of non-affective psychosis in the catchment area of an EPI program, and compare this estimate to the EPI-treated incidence of psychotic disorder.MethodsWe constructed a retrospective cohort of incident cases of non-affective psychosis in the catchment area from 1997 to 2015 using linked population-based health administrative data. Cases were identified by the presence either one hospitalization with a primary discharge diagnosis of non-affective psychosis, or two outpatient physician billings with a diagnosis of non-affective psychosis occurring within a 12-month period. We estimated cumulative incidence proportions of non-affective psychoses for the total sample meeting our case definition using denominator data obtained from the census. Using admission ratios from the EPI program (# admitted/# referred), we correct our population-based incidence estimate to yield an estimated “true incidence” of non-affective psychosis.ResultsReslts: Our case definition identified 2,864 cases of incident non-affective psychosis over the 17-year time-period. We estimate that the “true incidence” of non-affective psychosis in the program catchment area is more than twice as high as the EPI-treated incidence estimates (final numbers forthcoming).DiscussionOur findings suggest that incidence estimates obtained using case ascertainment strategies limited to specialized psychiatric services may substantially underestimate the incidence of non-affective psychotic disorders, relative to population-based estimates. We need accurate information on the epidemiology of psychotic disorders to allow service planners and administrators to more effectively resource EPI services and evaluate their coverage.

Highlights

  • There is considerable variation in epidemiology and clinical course of psychotic disorders across social and geographical contexts

  • This review aims to quantitatively summarise (i) the associations between childhood adversities and the UHR state, and (ii) how these adversities may be linked with a higher risk of transition to psychosis (TTP)

  • Obtaining valuable evidence from under-represented regions such as Sub-Saharan Africa holds the promise of advancing our knowledge and understanding of psychosis and will provide a strong basis for redressing inequities in service provision for people with psychotic disorders living in low- and middle-income countries (LMICs)

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Summary

Background

It is well known that underweight in adolescence and early adulthood predicts later schizophrenia. Some studies have shown an association between future schizophrenia or psychosis and underweight in children, F136. It is well known that underweight in adolescence and early adulthood predicts later schizophrenia.. Some studies have shown an association between future schizophrenia or psychosis and underweight in children, F136. PARSING DUP TO REFINE EARLY DETECTION: QUANTILE REGRESSION OF RESULTS FROM THE SCANDINAVIAN TIPS STUDY. Maria Ferrara*,1, Sinan Guloksuz, Shadie Burke, Fangyong Li3, Svein Friis, Wenche ten Velden Hegelstad, Inge Joa, Jan Olav Johannessen, Ingrid Melle, Erik Simonsen, Vinod Srihari3 1Yale University, AUSL Modena; 2Academic Hospital Maastricht; 3Yale University; 4Oslo University Hospital, Institute of Clinical Medicine, University of Oslo; 5TIPS – Centre for Clinical

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