The local burden of emotional disorders. An analysis based on a large health survey in Catalonia (Spain)
Centre for the Economics of Mental Health, Health Services Research Department, Institute of Psychiatry, King's College, London, UK. Gaceta Sanitaria
(Impact Factor: 1.19).
11/2011; 26(1):24-9. DOI: 10.1016/j.gaceta.2011.05.019
Mental health conditions are associated with a significant burden on individuals. Using data from a large population health survey, the present study aimed to quantify the burden of emotional disorders (depression and anxiety) on health-related quality of life (HRQoL) in the region of Catalonia (Spain) for evidence-informed policy making.
Regression models were used to estimate the impact of emotional disorders on HRQoL, controlling by socioeconomic factors and somatic health problems. The rate of emotional disorders was based on the General Health Questionnaire (GHQ-12) and quality of life scores were based on the EQ-5D.
The impact of emotional disorders on HRQoL was equal to a reduction of 0.17 in the EQ-5D score. Translation of this individual impact to population figures yielded a total loss of 78,742 quality-adjusted life years (QALYs) for 2006. This strong impact highlights the need for global policies aiming to reduce this burden.
The negative relation between emotional disorders and the HRQoL of individuals was confirmed and quantified for the population of Catalonia. The use of quality of life scales such as the SF or EQ-5D, combined with data on quasi-specific health conditions provides substantial information for prioritizing and planning health programs.
Available from: Jose A. Salinas-Perez
- "It is not possible to infer individual level relationship from relationship observed at the aggregate level due to the ecological fallacy [38,39]. The analysis of the Catalonia Health Survey indicates that the local burden of depression is associated with a low educational level and living alone . The ESEMeD project shows the relationship between the prevalence of depression and sex, unemployment, civil status and disabilities . "
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Spatial analysis is a relevant set of tools for studying the geographical distribution of diseases, although its methods and techniques for analysis may yield very different results. A new hybrid approach has been applied to the spatial analysis of treated prevalence of depression in Catalonia (Spain) according to the following descriptive hypotheses: 1) spatial clusters of treated prevalence of depression (hot and cold spots) exist and, 2) these clusters are related to the administrative divisions of mental health care (catchment areas) in this region.
In this ecological study, morbidity data per municipality have been extracted from the regional outpatient mental health database (CMBD-SMA) for the year 2009. The second level of analysis mapped small mental health catchment areas or groups of municipalities covered by a single mental health community centre. Spatial analysis has been performed using a Multi-Objective Evolutionary Algorithm (MOEA) which identified geographical clusters (hot spots and cold spots) of depression through the optimization of its treated prevalence. Catchment areas, where hot and cold spots are located, have been described by four domains: urbanicity, availability, accessibility and adequacy of provision of mental health care.
MOEA has identified 6 hot spots and 4 cold spots of depression in Catalonia. Our results show a clear spatial pattern where one cold spot contributed to define the exact location, shape and borders of three hot spots. Analysing the corresponding domain values for the identified hot and cold spots no common pattern has been detected.
MOEA has effectively identified hot/cold spots of depression in Catalonia. However these hot/cold spots comprised municipalities from different catchment areas and we could not relate them to the administrative distribution of mental care in the region. By combining the analysis of hot/cold spots, a better statistical and operational-based visual representation of the geographical distribution is obtained. This technology may be incorporated into Decision Support Systems to enhance local evidence-informed policy in health system research.
International Journal of Health Geographics 08/2012; 11(1):36. DOI:10.1186/1476-072X-11-36 · 2.62 Impact Factor
Available from: Kátia B. Rocha
- "Gender inequalities were found in the current study, replicating findings form others studies done in Spain (Palència et al. 2011) and in Catalonia (Borrell et al. 2001, 2011; Fernandez et al. 1999: Sabes-Figuera et al. 2012), which also found that women were more likely to use health services. Higher use of specialized mental health care in women have been also described in other countries (Andrade et al. 2008; Burgess et al. 2009; Codony et al. 2009; Ngamini Ngui et al. 2012; Parslow and Jorm 2000; Wang et al. 2007). "
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ABSTRACT: The aim of this study was to analyze individual and contextual inequalities in psychiatrist and psychologist visits in Catalonia. This is a multilevel cross-sectional study using data from the 2006 Catalan Health Interview Survey (n = 15,554). 5.3 % of men and 9.0 % of women visited a psychologist and/or psychiatrist in the last 12 months. People aged 65 years or over were less likely to have visited these professionals and those with a supplemental private health insurance had a higher proportion of having visited. Moreover, people living in lower density regions were less likely to have visited, independently of their level of need. There is a need to develop policies for reducing inequalities in access by people with public health insurance and living in lower density areas.
Administration and Policy in Mental Health and Mental Health Services Research 06/2012; 40(5). DOI:10.1007/s10488-012-0426-8 · 3.44 Impact Factor
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ABSTRACT: Aim: To assess the relationship between mental health and quality of life in individuals who apply to primary health center in study. Method: The universe of this epidemiological descriptive study was 291 applicants (over 15 years old) of a primary health center in study in five business days. The questionnaire consisted of GHQ-12 and EQ- 5D/EQ-VAS. Simple and multivariate lineal regression and corelation analysis were used. Results: GHQ-12 scores increased as the EQ-5D/EQ-VAS index scores decreased. EQ-5D and GHQ- 12 exhibit a negative and linear relationship. There was negative correlation between qulity of life and have chronic illness, use alcohol who risk group in accordance with GHQ-12. Conclusion: The follow-up methods what diagnosed as a standard, valid and reliable scales are used, cheap and easy may set up to assess clearly the current situation of mental health, quality of life and related factors, to identify appropriate strategies and policies, to collect reliable data to reduce the burden of disease.
TAF preventive medicine bullletin 01/2013; 12(2):121. DOI:10.5455/pmb.1-1343289977
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