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Social Psychiatry and Psychiatric Epidemiology
Erschienen in: Social Psychiatry and Psychiatric Epidemiology 10/2008

01.10.2008 | ORIGINAL PAPER

Spatial analysis to identify hotspots of prevalence of schizophrenia

Erschienen in: Social Psychiatry and Psychiatric Epidemiology | Ausgabe 10/2008

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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.
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Metadaten
Titel
Spatial analysis to identify hotspots of prevalence of schizophrenia
Publikationsdatum
01.10.2008
Erschienen in
Social Psychiatry and Psychiatric Epidemiology / Ausgabe 10/2008
Print ISSN: 0933-7954
Elektronische ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-008-0368-3

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