Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/76365
Title: Spatial analysis to identify hotspots of prevalence of schizophrenia
Authors: Moreno, Berta
García-Alonso, Carlos R.
Negrín Hernández, Miguel Ángel 
Torres-González, Francisco
Salvador-Carulla, Luis
UNESCO Clasification: 5302 Econometría
1209 Estadística
Keywords: Spatial Analysis
Schizophrenia
Mental Health Planning
Use Of Mental Health Services
Issue Date: 2008
Journal: Social Psychiatry and Psychiatric Epidemiology 
Abstract: Introduction The geographical distribution of mental health disorders is useful information for epidemiological research and health services planning. Objective To determine the existence of geographical hotspots with a high prevalence of schizophrenia in a mental health area in Spain. Method The study included 774 patients with schizophrenia who were users of the community mental health care service in the area of South Granada. Spatial analysis (Kernel estimation) and Bayesian relative risks were used to locate potential hotspots. Availability and accessibility were both rated in each zone and spatial algebra was applied to identify hotspots in a particular zone. Results The age-corrected prevalence rate of schizophrenia was 2.86 per 1,000 population in the South Granada area. Bayesian analysis showed a relative risk varying from 0.43 to 2.33. The area analysed had a non-uniform spatial distribution of schizophrenia, with one main hotspot (zone S2). This zone had poor accessibility to and availability of mental health services. Conclusion A municipality-based variation exists in the prevalence of schizophrenia and related disorders in the study area. Spatial analysis techniques are useful tools to analyse the heterogeneous distribution of a variable and to explain genetic/environmental factors in hotspots related with a lack of easy availability of and accessibility to adequate health care services.
URI: http://hdl.handle.net/10553/76365
ISSN: 0933-7954
DOI: 10.1007/s00127-008-0368-3
Source: Social Psychiatry And Psychiatric Epidemiology[ISSN 0933-7954],v. 43 (10), p. 782-791, (Octubre 2008)
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