BACKGROUND: Investigation of the geographical distribution of schizophrenia and its relationship to socio-demographic factors is useful for planning services. METHOD: Individuals with schizophrenia (n = 980) were identified by key informants within an inner London borough and point prevalence calculated for broad, Feighner and DSM-III-R schizophrenia. The distribution of cases was tested for significant variation using the Poisson process model. Regression models using the Jarman-8 score and its component variables were tested for their ability to predict the prevalence of schizophrenia. RESULTS: A high point prevalence of schizophrenia (5.3 per 1000 resident population) was demonstrated. Case distribution showed a marked and significant variation associated with socio-demographic factors. The prediction of prevalence was more accurate for broad than for narrower definitions of schizophrenia; unemployment rate performed best. CONCLUSIONS: Unemployment rates and Jarman-8 scores may provide crude estimates for resource allocation in planning mental health services, highlighting the need for additional services in deprived inner city areas.
BACKGROUND: Investigation of the geographical distribution of schizophrenia and its relationship to socio-demographic factors is useful for planning services. METHOD: Individuals with schizophrenia (n = 980) were identified by key informants within an inner London borough and point prevalence calculated for broad, Feighner and DSM-III-R schizophrenia. The distribution of cases was tested for significant variation using the Poisson process model. Regression models using the Jarman-8 score and its component variables were tested for their ability to predict the prevalence of schizophrenia. RESULTS: A high point prevalence of schizophrenia (5.3 per 1000 resident population) was demonstrated. Case distribution showed a marked and significant variation associated with socio-demographic factors. The prediction of prevalence was more accurate for broad than for narrower definitions of schizophrenia; unemployment rate performed best. CONCLUSIONS: Unemployment rates and Jarman-8 scores may provide crude estimates for resource allocation in planning mental health services, highlighting the need for additional services in deprived inner city areas.
Authors: Dennis K Kinney; Pamela Teixeira; Diane Hsu; Siena C Napoleon; David J Crowley; Andrea Miller; William Hyman; Emerald Huang Journal: Schizophr Bull Date: 2009-04-08 Impact factor: 9.306
Authors: B Moreno-Küstner; F Mayoral; D Navas-Campaña; J M García-Herrera; P Angona; C Martín; F Rivas Journal: Epidemiol Psychiatr Sci Date: 2014-10-15 Impact factor: 6.892
Authors: Simona A Stilo; Marta Di Forti; Valeria Mondelli; Aurora M Falcone; Manuela Russo; Jennifer O'Connor; Emma Palmer; Alessandra Paparelli; Anna Kolliakou; Miriam Sirianni; Heather Taylor; Rowena Handley; Paola Dazzan; Carmine Pariante; Tiago R Marques; Rocco Zoccali; Anthony David; Robin M Murray; Craig Morgan Journal: Schizophr Bull Date: 2012-10-22 Impact factor: 7.348