Proyecto ESEMeD
- European Study of the Epidemiology of Mental Disorders (ESEMeD)
- Se realizo una encuesta sonre una población europea escogida de forma aleatoria representativa de Belgica, Francia, Alemania, Italia, Holanda y España . Los trastornos DSM DSM-IV fueron investigados por entrevistadores utilizando una versión revisada del Composite International Diagnostic Interview (WMH-CIDI).
- El estudio ESEMeD-España es una encuesta personal domiciliaria realizada a una muestra representativa de la población española mayor de 18 años. Se excluyó de la población de estudio a las personas institucionalizadas (individuos que residían en prisiones, hospitales, hoteles u otras instituciones) y a las que no hablaban español. El estudio es transversal y el trabajo de campo se realizó entre septiembre de 2001 y septiembre de 2002.
- A su vez ESEMED se enmarca dentro de la iniciativa de la OMS The World Mental Health Survey Initiative para llegar a conclusiones válidas sobre la incidencia y prevalencia de las enfermedades mentales y adicciones en el mundo.
Prevalencia de los trastornos mentales y factores asociados: resultados del estudio ESEMeD-Espana.
Med Clin (Barc). 2006 Apr 1;126(12):445-51. Haro J.M., Palacin C., Vilagut G., Martinez M., Bernal M., Luque I., Codony M., Dolz M., Alonso J.
La epidemiologia de los trastornos mentales en Espana: metodos y participacion en el proyecto ESEMeD-Espana.
Actas Esp Psiquiatr. 2003 Jul-Aug;31(4):182-91. Haro J.M., Palacin C., Vilagut G., Romera B., Codony M., Autonell J., Ferrer M., Ramos J., Kessler R., Alonso J.
Bibliografía en Español
 | Related Articles |
Comparison of Different Valuation Methods for Population Health Status Measured by the EQ-5D in Three European Countries.
Value Health. 2009 Mar 10;
Authors: Bernert S, Fernández A, Haro JM, König HH, Alonso J, Vilagut G, Sevilla-Dedieu C, de Graaf R, Matschinger H, Heider D, Angermeyer MC,
ABSTRACT Objective: The purpose of this study was to analyze and compare different valuation methods for population health status measured by the EuroQol-5D (EQ-5D) in three European countries. Methods: A representative survey of the noninstitutionalized population aged 18 and above was conducted in three European countries (Germany, The Netherlands, and Spain). A total of 11,932 respondents were interviewed using the EQ-5D self-classifier. Health state values based on community preferences (EQ-5D index) were calculated for each country using four different value sets: national value sets based on the time trade-off (TTO) and the visual analogue scale (VAS), the UK TTO-based value set and the European VAS-based value set. Linear regression analysis was conducted to evaluate the factors associated with different EQ-5D index scores depending on the value set used. Loss of quality-adjusted life-years (QALYs) was calculated for each country using the four value sets by multiplying the age and gender-specific values with the respective population size. Results: In all countries, means of all EQ-5D index scores were higher for men than women, and decreased with age. Index scores calculated using the national value set based on TTO were higher than those calculated using the UK TTO-based value set and, also, slightly higher than those calculated using the European VAS-based value set or the national value set based on the VAS. The mean loss of QALYs estimated for Germany per inhabitant varied between 0.062 (national value set based on TTO) and 0.094 (European VAS-based value set). In The Netherlands, the mean loss of QALYs per inhabitant ranged from 0.090 (national value set based on TTO) to 0.125 (national value set based on VAS). In Spain, the mean loss of QALYs per inhabitant ranged between 0.072 (national value set based on TTO) and 0.085 (European VAS-based value set). Conclusions: In general, the differences among countries and valuations were rather small; nevertheless, some important variations should be taken into account while applying different valuation methods to the EQ-5D descriptive system. The associations between sociodemographic variables and health state scores remained the same across countries regardless of which value sets were used. Using different valuation methods lead to different QALY losses. To overcome this problem in international surveys aimed to compare health state scores or QALYs, it is advisable to use a single valuation method, making these scores comparable.
PMID: 19490564 [PubMed - as supplied by publisher]