[Inequities in mental health: admissions for psychosis in public hospitals of the Comunitat Valenciana (2008-2015)].

Rev Esp Salud Publica

Dirección General de Salud Pública/ FISABIO. Área de Desigualdades en Salud. Generalitat Valenciana. Valencia. España.

Published: November 2018

Objective: The prevalence of mental health problems is increasing throughout the world. Certain population groups have more probability to suffer mental disorders, which may generate inequities in health. The main of this paper is analyze the differences in the frecuency of hospital admissions according to different inequities dimensions (age, sex and country of birth) of the populaion between 15 and 49 years old between 2008 and 2015 in the Comunitat Valenciana (Spain).

Methods: Transversal study based on all admissions for Diagnosis-related group "Psychosis" in public centers in the Comunitat Valenciana. Sources of information were Minimum Basic Data Set and Population Information System. Descriptive analysis of clinical and social variables was conducted, and differences among subgroups were analyzed by t-Student test for the comparison of a quantitative variable and χ2 test for the comparison of a qualitative variable, as well as the exact Wilcoxon and the Fisher test when application conditions were not satisfied.

Results: there were studied 23869 admissions for psychosis generated by 11265 patients. Most of these admissions were because of schizophrenia disorders (39.44%). When comparing by sex, differences in diagnosis were observed, being more frequent psychotic mood disorders in women (39.3%). There also observed differences when comparing by country of birth, being more frequent "Other non-organic psychosis" in foreign people (40.5%). Differences were found regarding mortality during admission, being higher in men (5.1% vs. 4%) and in foreign people (5.3% vs. 3.8%).

Conclusions: There have been detected inequities in the frequency of psychosis admissions in the Comunitat Valenciana. These differences are observed around different dimensions such as age, gender and country of origin.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11587381PMC

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