Head-to-head comparison between the EQ-5D-5L and the EQ-5D-3L in general population health surveys View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Marc Martí-Pastor, Angels Pont, Mónica Ávila, Olatz Garin, Gemma Vilagut, Carlos G. Forero, Yolanda Pardo, Ricard Tresserras, Antonia Medina-Bustos, Oriol Garcia-Codina, Juan Cabasés, Luis Rajmil, Jordi Alonso, Montse Ferrer

ABSTRACT

BACKGROUND: The EQ-5D has been frequently used in national health surveys. This study is a head-to-head comparison to assess how expanding the number of levels from three (EQ-5D-3L) to five in the new EQ-5D-5L version has improved its distribution, discriminatory power, and validity in the general population. METHODS: A representative sample (N = 7554) from the Catalan Health Interview Survey 2011-2012, aged ≥18, answered both EQ-5D versions, and we evaluated the response redistribution and inconsistencies between them. To assess validity of this redistribution, we calculated the mean of the Visual Analogue Scale (VAS), which measures perceived health. The discriminatory power was examined with Shannon Indices, calculated for each dimension separately. Spanish preference value sets were applied to obtain utility indices, examining their distribution with statistics of central tendency and dispersion. We estimated the proportion of individuals reporting the best health state in EQ-5D-5L and EQ-5D-3L within groups of specific chronic conditions and their VAS mean. RESULTS: A very small reduction in the percentage of individuals with the best health state was observed, from 61.8% in EQ-5D-3L to 60.8% in EQ-5D-5L. In contrast, a large proportion of individuals reporting extreme problems in the 3 L version moved to severe problems (level 4) in the 5 L version, particularly for pain/discomfort (75.5%) and anxiety/depression (66.4%). The average proportion of inconsistencies was 0.9%. The pattern of the perceived health VAS mean confirmed the hypothesis established a priori, supporting the validity of the observed redistribution. Shannon index showed that absolute informativity was higher in the 5 L version for all dimensions. The means (SD) of the Spanish EQ-5D-3L and EQ-5D-5L indices were 0.87 (0.25) and 0.89 (0.22). The proportion of individuals with the best health state within each specific chronic condition was very similar, regardless of the EQ-5D version (≤ 30% in half of the 28 chronic conditions). CONCLUSION: Although the proportion of individuals with the best possible health state is still very high, our findings support that the increase of levels provided by the EQ-5D-5L contributed to the validity and discriminatory power of this new version to measure health in general population, as in the national health surveys. More... »

PAGES

14

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12963-018-0170-8

DOI

http://dx.doi.org/10.1186/s12963-018-0170-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106153740

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30115092


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Universitat Autonoma de Barcelona (UAB), Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mart\u00ed-Pastor", 
        "givenName": "Marc", 
        "id": "sg:person.01334137062.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334137062.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Salud Carlos III", 
          "id": "https://www.grid.ac/institutes/grid.413448.e", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pont", 
        "givenName": "Angels", 
        "id": "sg:person.01350600237.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350600237.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Universidad Pompeu Fabra, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u00c1vila", 
        "givenName": "M\u00f3nica", 
        "id": "sg:person.0613113641.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613113641.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Universidad Pompeu Fabra, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garin", 
        "givenName": "Olatz", 
        "id": "sg:person.0667446237.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667446237.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Universidad Pompeu Fabra, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vilagut", 
        "givenName": "Gemma", 
        "id": "sg:person.0667250145.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667250145.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Universidad Pompeu Fabra, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Forero", 
        "givenName": "Carlos G.", 
        "id": "sg:person.0730672204.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730672204.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Universitat Autonoma de Barcelona (UAB), Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pardo", 
        "givenName": "Yolanda", 
        "id": "sg:person.0700551575.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700551575.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Government of Catalonia", 
          "id": "https://www.grid.ac/institutes/grid.454735.4", 
          "name": [
            "Universidad Pompeu Fabra, Barcelona, Spain", 
            "Direcci\u00f3 General de Planificaci\u00f3 en Salut. Departament de Salut de la Generalitat de Catalunya, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tresserras", 
        "givenName": "Ricard", 
        "id": "sg:person.01003703240.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003703240.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Government of Catalonia", 
          "id": "https://www.grid.ac/institutes/grid.454735.4", 
          "name": [
            "Direcci\u00f3 General de Planificaci\u00f3 en Salut. Departament de Salut de la Generalitat de Catalunya, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Medina-Bustos", 
        "givenName": "Antonia", 
        "id": "sg:person.0633345074.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633345074.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Government of Catalonia", 
          "id": "https://www.grid.ac/institutes/grid.454735.4", 
          "name": [
            "Direcci\u00f3 General de Planificaci\u00f3 en Salut. Departament de Salut de la Generalitat de Catalunya, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garcia-Codina", 
        "givenName": "Oriol", 
        "id": "sg:person.013337014571.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013337014571.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad Publica De Navarra", 
          "id": "https://www.grid.ac/institutes/grid.410476.0", 
          "name": [
            "Public University of Navarra, Pamplona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cabas\u00e9s", 
        "givenName": "Juan", 
        "id": "sg:person.01272205534.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272205534.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Salud Carlos III", 
          "id": "https://www.grid.ac/institutes/grid.413448.e", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Agency for Healthcare Quality and Assessment of Catalonia (AQuAS), Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rajmil", 
        "givenName": "Luis", 
        "id": "sg:person.0656007764.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656007764.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Universidad Pompeu Fabra, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alonso", 
        "givenName": "Jordi", 
        "id": "sg:person.01004157710.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004157710.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.7080.f", 
          "name": [
            "IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain", 
            "CIBER en Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Universitat Autonoma de Barcelona (UAB), Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferrer", 
        "givenName": "Montse", 
        "id": "sg:person.010273071222.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010273071222.49"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11136-006-0020-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001499618", 
          "https://doi.org/10.1007/s11136-006-0020-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1477-7525-12-74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006047357", 
          "https://doi.org/10.1186/1477-7525-12-74"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008809610703", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006134514", 
          "https://doi.org/10.1023/a:1008809610703"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.316.7133.736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006446435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1015291021312", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010169029", 
          "https://doi.org/10.1023/a:1015291021312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000254515.63841.81", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012052983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000254515.63841.81", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012052983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-012-0322-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013566582", 
          "https://doi.org/10.1007/s11136-012-0322-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-012-0322-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013566582", 
          "https://doi.org/10.1007/s11136-012-0322-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-010-9639-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013824785", 
          "https://doi.org/10.1007/s11136-010-9639-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-010-9639-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013824785", 
          "https://doi.org/10.1007/s11136-010-9639-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-015-1164-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013850155", 
          "https://doi.org/10.1007/s11136-015-1164-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmjopen-2011-000128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017597966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.f167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019437805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jval.2012.02.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020168280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-011-0018-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020524916", 
          "https://doi.org/10.1007/s11136-011-0018-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.324.7351.1417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022785409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-006-9132-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023597728", 
          "https://doi.org/10.1007/s11136-006-9132-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1477-7525-1-54", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023782676", 
          "https://doi.org/10.1186/1477-7525-1-54"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hec.866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024719442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/rheumatology/38.9.807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030637679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-007-9243-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031483294", 
          "https://doi.org/10.1007/s11136-007-9243-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-014-0670-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031802675", 
          "https://doi.org/10.1007/s11136-014-0670-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12955-014-0203-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033395132", 
          "https://doi.org/10.1186/s12955-014-0203-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12955-014-0203-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033395132", 
          "https://doi.org/10.1186/s12955-014-0203-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00134-004-2471-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038932292", 
          "https://doi.org/10.1007/s00134-004-2471-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0272989x0102100102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039415942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0272989x0102100102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039415942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-012-0331-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040828198", 
          "https://doi.org/10.1007/s11136-012-0331-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12955-015-0356-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041041454", 
          "https://doi.org/10.1186/s12955-015-0356-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0167-6296(01)00130-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042985522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000182493.57090.c1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043950676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000182493.57090.c1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043950676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mlr.0000182493.57090.c1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043950676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1524-4733.2007.00230.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044549611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-011-9903-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044866349", 
          "https://doi.org/10.1007/s11136-011-9903-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1524-4733.2006.00108.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045708715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-014-4091-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047377495", 
          "https://doi.org/10.1007/s11999-014-4091-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-014-4091-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047377495", 
          "https://doi.org/10.1007/s11999-014-4091-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s11999-014-4091-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047377495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-016-1428-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048875347", 
          "https://doi.org/10.1007/s11136-016-1428-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-016-1428-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048875347", 
          "https://doi.org/10.1007/s11136-016-1428-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jval.2016.09.170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052528502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0212-6567(00)78518-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052929066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2005-867061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057445306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-199711000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-199711000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-199711000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-199711000-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-200001000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-200001000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00005650-200001000-00013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060223888"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3961/jpmph.2008.41.3.165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071763151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074671746", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074764199", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083119960", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109411206", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1201/9781420080674", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109411206"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: The EQ-5D has been frequently used in national health surveys. This study is a head-to-head comparison to assess how expanding the number of levels from three (EQ-5D-3L) to five in the new EQ-5D-5L version has improved its distribution, discriminatory power, and validity in the general population.\nMETHODS: A representative sample (N\u2009=\u20097554) from the Catalan Health Interview Survey 2011-2012, aged \u226518, answered both EQ-5D versions, and we evaluated the response redistribution and inconsistencies between them. To assess validity of this redistribution, we calculated the mean of the Visual Analogue Scale (VAS), which measures perceived health. The discriminatory power was examined with Shannon Indices, calculated for each dimension separately. Spanish preference value sets were applied to obtain utility indices, examining their distribution with statistics of central tendency and dispersion. We estimated the proportion of individuals reporting the best health state in EQ-5D-5L and EQ-5D-3L within groups of specific chronic conditions and their VAS mean.\nRESULTS: A very small reduction in the percentage of individuals with the best health state was observed, from 61.8% in EQ-5D-3L to 60.8% in EQ-5D-5L. In contrast, a large proportion of individuals reporting extreme problems in the 3 L version moved to severe problems (level 4) in the 5 L version, particularly for pain/discomfort (75.5%) and anxiety/depression (66.4%). The average proportion of inconsistencies was 0.9%. The pattern of the perceived health VAS mean confirmed the hypothesis established a priori, supporting the validity of the observed redistribution. Shannon index showed that absolute informativity was higher in the 5 L version for all dimensions. The means (SD) of the Spanish EQ-5D-3L and EQ-5D-5L indices were 0.87 (0.25) and 0.89 (0.22). The proportion of individuals with the best health state within each specific chronic condition was very similar, regardless of the EQ-5D version (\u2264\u200930% in half of the 28 chronic conditions).\nCONCLUSION: Although the proportion of individuals with the best possible health state is still very high, our findings support that the increase of levels provided by the EQ-5D-5L contributed to the validity and discriminatory power of this new version to measure health in general population, as in the national health surveys.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12963-018-0170-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3757435", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3712428", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3710162", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1032338", 
        "issn": [
          "1478-7954"
        ], 
        "name": "Population Health Metrics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "16"
      }
    ], 
    "name": "Head-to-head comparison between the EQ-5D-5L and the EQ-5D-3L in general population health surveys", 
    "pagination": "14", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0075e521ef3b2458ce2c349d2c035622bc1903a11b5a39c27c111cc1cc7d8930"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30115092"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101178411"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12963-018-0170-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106153740"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12963-018-0170-8", 
      "https://app.dimensions.ai/details/publication/pub.1106153740"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:11", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8681_00000605.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12963-018-0170-8"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12963-018-0170-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12963-018-0170-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12963-018-0170-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12963-018-0170-8'


 

This table displays all metadata directly associated to this object as RDF triples.

331 TRIPLES      21 PREDICATES      73 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12963-018-0170-8 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N6a83e1a62d5b445e989bb9d6bc659ca2
4 schema:citation sg:pub.10.1007/s00134-004-2471-6
5 sg:pub.10.1007/s11136-006-0020-1
6 sg:pub.10.1007/s11136-006-9132-x
7 sg:pub.10.1007/s11136-007-9243-z
8 sg:pub.10.1007/s11136-010-9639-z
9 sg:pub.10.1007/s11136-011-0018-1
10 sg:pub.10.1007/s11136-011-9903-x
11 sg:pub.10.1007/s11136-012-0322-4
12 sg:pub.10.1007/s11136-012-0331-3
13 sg:pub.10.1007/s11136-014-0670-3
14 sg:pub.10.1007/s11136-015-1164-7
15 sg:pub.10.1007/s11136-016-1428-x
16 sg:pub.10.1007/s11999-014-4091-y
17 sg:pub.10.1023/a:1008809610703
18 sg:pub.10.1023/a:1015291021312
19 sg:pub.10.1186/1477-7525-1-54
20 sg:pub.10.1186/1477-7525-12-74
21 sg:pub.10.1186/s12955-014-0203-3
22 sg:pub.10.1186/s12955-015-0356-8
23 https://app.dimensions.ai/details/publication/pub.1074671746
24 https://app.dimensions.ai/details/publication/pub.1074764199
25 https://app.dimensions.ai/details/publication/pub.1083119960
26 https://app.dimensions.ai/details/publication/pub.1109411206
27 https://doi.org/10.1002/hec.866
28 https://doi.org/10.1007/s11999-014-4091-y
29 https://doi.org/10.1016/j.jval.2012.02.008
30 https://doi.org/10.1016/j.jval.2016.09.170
31 https://doi.org/10.1016/s0167-6296(01)00130-8
32 https://doi.org/10.1016/s0212-6567(00)78518-0
33 https://doi.org/10.1055/s-2005-867061
34 https://doi.org/10.1093/rheumatology/38.9.807
35 https://doi.org/10.1097/00005650-199711000-00002
36 https://doi.org/10.1097/00005650-200001000-00013
37 https://doi.org/10.1097/01.mlr.0000182493.57090.c1
38 https://doi.org/10.1097/01.mlr.0000254515.63841.81
39 https://doi.org/10.1111/j.1524-4733.2006.00108.x
40 https://doi.org/10.1111/j.1524-4733.2007.00230.x
41 https://doi.org/10.1136/bmj.316.7133.736
42 https://doi.org/10.1136/bmj.324.7351.1417
43 https://doi.org/10.1136/bmj.f167
44 https://doi.org/10.1136/bmjopen-2011-000128
45 https://doi.org/10.1177/0272989x0102100102
46 https://doi.org/10.1201/9781420080674
47 https://doi.org/10.3961/jpmph.2008.41.3.165
48 schema:datePublished 2018-12
49 schema:datePublishedReg 2018-12-01
50 schema:description BACKGROUND: The EQ-5D has been frequently used in national health surveys. This study is a head-to-head comparison to assess how expanding the number of levels from three (EQ-5D-3L) to five in the new EQ-5D-5L version has improved its distribution, discriminatory power, and validity in the general population. METHODS: A representative sample (N = 7554) from the Catalan Health Interview Survey 2011-2012, aged ≥18, answered both EQ-5D versions, and we evaluated the response redistribution and inconsistencies between them. To assess validity of this redistribution, we calculated the mean of the Visual Analogue Scale (VAS), which measures perceived health. The discriminatory power was examined with Shannon Indices, calculated for each dimension separately. Spanish preference value sets were applied to obtain utility indices, examining their distribution with statistics of central tendency and dispersion. We estimated the proportion of individuals reporting the best health state in EQ-5D-5L and EQ-5D-3L within groups of specific chronic conditions and their VAS mean. RESULTS: A very small reduction in the percentage of individuals with the best health state was observed, from 61.8% in EQ-5D-3L to 60.8% in EQ-5D-5L. In contrast, a large proportion of individuals reporting extreme problems in the 3 L version moved to severe problems (level 4) in the 5 L version, particularly for pain/discomfort (75.5%) and anxiety/depression (66.4%). The average proportion of inconsistencies was 0.9%. The pattern of the perceived health VAS mean confirmed the hypothesis established a priori, supporting the validity of the observed redistribution. Shannon index showed that absolute informativity was higher in the 5 L version for all dimensions. The means (SD) of the Spanish EQ-5D-3L and EQ-5D-5L indices were 0.87 (0.25) and 0.89 (0.22). The proportion of individuals with the best health state within each specific chronic condition was very similar, regardless of the EQ-5D version (≤ 30% in half of the 28 chronic conditions). CONCLUSION: Although the proportion of individuals with the best possible health state is still very high, our findings support that the increase of levels provided by the EQ-5D-5L contributed to the validity and discriminatory power of this new version to measure health in general population, as in the national health surveys.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N6104b05ce5f94838bd4ea2a27d047c63
55 Nd64693a02d5a47508925be31940c8611
56 sg:journal.1032338
57 schema:name Head-to-head comparison between the EQ-5D-5L and the EQ-5D-3L in general population health surveys
58 schema:pagination 14
59 schema:productId N0d0b652648ad40f487c28537b097367b
60 N31e2ef92bda24fc2b648c99b9203d4c5
61 N8acb86a03109470a98a6c8d98e73ffaa
62 N968732e4e5bb4967862b8b2065168761
63 Ndbeacf52c98141f79f7ddd9b2fcfaf32
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106153740
65 https://doi.org/10.1186/s12963-018-0170-8
66 schema:sdDatePublished 2019-04-10T20:11
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N83b91eb9017147c4960cd800fb41effa
69 schema:url https://link.springer.com/10.1186%2Fs12963-018-0170-8
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N0ca662cb60ae446588ca4678cae3978a rdf:first sg:person.0667446237.18
74 rdf:rest N5111390740574941bc3adcb69ea0710d
75 N0d0b652648ad40f487c28537b097367b schema:name dimensions_id
76 schema:value pub.1106153740
77 rdf:type schema:PropertyValue
78 N0f5823cbdff6478f8d3260a5f6263255 rdf:first sg:person.01272205534.49
79 rdf:rest Nc9def5b65bc84a219442f4c8e52fe462
80 N106dc6ca28ea4c5daa858365a98f879d rdf:first sg:person.01350600237.07
81 rdf:rest N39a1f30552024a83bd8e2e6cae77348a
82 N24a595c8da71432d916ff0ce5cfc3d03 rdf:first sg:person.0730672204.00
83 rdf:rest Ne4b1cbc8a2dc4138bff4ff43ac157822
84 N31e2ef92bda24fc2b648c99b9203d4c5 schema:name nlm_unique_id
85 schema:value 101178411
86 rdf:type schema:PropertyValue
87 N344ea8e55be14ec998841500ba3230c3 rdf:first sg:person.01004157710.09
88 rdf:rest Nc8ce8cd426c543819634f2cd892808a3
89 N39a1f30552024a83bd8e2e6cae77348a rdf:first sg:person.0613113641.91
90 rdf:rest N0ca662cb60ae446588ca4678cae3978a
91 N3a757ca0911d44bc87e2e7d46dde202c rdf:first sg:person.013337014571.33
92 rdf:rest N0f5823cbdff6478f8d3260a5f6263255
93 N5111390740574941bc3adcb69ea0710d rdf:first sg:person.0667250145.46
94 rdf:rest N24a595c8da71432d916ff0ce5cfc3d03
95 N5fda5afaa292487b9d9f6c856c2300a2 rdf:first sg:person.01003703240.41
96 rdf:rest N72fb7b7f8eef4499bd44f7397df1f49c
97 N6104b05ce5f94838bd4ea2a27d047c63 schema:issueNumber 1
98 rdf:type schema:PublicationIssue
99 N6a83e1a62d5b445e989bb9d6bc659ca2 rdf:first sg:person.01334137062.89
100 rdf:rest N106dc6ca28ea4c5daa858365a98f879d
101 N72fb7b7f8eef4499bd44f7397df1f49c rdf:first sg:person.0633345074.57
102 rdf:rest N3a757ca0911d44bc87e2e7d46dde202c
103 N83b91eb9017147c4960cd800fb41effa schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 N8acb86a03109470a98a6c8d98e73ffaa schema:name pubmed_id
106 schema:value 30115092
107 rdf:type schema:PropertyValue
108 N968732e4e5bb4967862b8b2065168761 schema:name doi
109 schema:value 10.1186/s12963-018-0170-8
110 rdf:type schema:PropertyValue
111 Nc8ce8cd426c543819634f2cd892808a3 rdf:first sg:person.010273071222.49
112 rdf:rest rdf:nil
113 Nc9def5b65bc84a219442f4c8e52fe462 rdf:first sg:person.0656007764.41
114 rdf:rest N344ea8e55be14ec998841500ba3230c3
115 Nd64693a02d5a47508925be31940c8611 schema:volumeNumber 16
116 rdf:type schema:PublicationVolume
117 Ndbeacf52c98141f79f7ddd9b2fcfaf32 schema:name readcube_id
118 schema:value 0075e521ef3b2458ce2c349d2c035622bc1903a11b5a39c27c111cc1cc7d8930
119 rdf:type schema:PropertyValue
120 Ne4b1cbc8a2dc4138bff4ff43ac157822 rdf:first sg:person.0700551575.90
121 rdf:rest N5fda5afaa292487b9d9f6c856c2300a2
122 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
123 schema:name Medical and Health Sciences
124 rdf:type schema:DefinedTerm
125 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
126 schema:name Public Health and Health Services
127 rdf:type schema:DefinedTerm
128 sg:grant.3710162 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0170-8
129 rdf:type schema:MonetaryGrant
130 sg:grant.3712428 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0170-8
131 rdf:type schema:MonetaryGrant
132 sg:grant.3757435 http://pending.schema.org/fundedItem sg:pub.10.1186/s12963-018-0170-8
133 rdf:type schema:MonetaryGrant
134 sg:journal.1032338 schema:issn 1478-7954
135 schema:name Population Health Metrics
136 rdf:type schema:Periodical
137 sg:person.01003703240.41 schema:affiliation https://www.grid.ac/institutes/grid.454735.4
138 schema:familyName Tresserras
139 schema:givenName Ricard
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003703240.41
141 rdf:type schema:Person
142 sg:person.01004157710.09 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
143 schema:familyName Alonso
144 schema:givenName Jordi
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004157710.09
146 rdf:type schema:Person
147 sg:person.010273071222.49 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
148 schema:familyName Ferrer
149 schema:givenName Montse
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010273071222.49
151 rdf:type schema:Person
152 sg:person.01272205534.49 schema:affiliation https://www.grid.ac/institutes/grid.410476.0
153 schema:familyName Cabasés
154 schema:givenName Juan
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272205534.49
156 rdf:type schema:Person
157 sg:person.013337014571.33 schema:affiliation https://www.grid.ac/institutes/grid.454735.4
158 schema:familyName Garcia-Codina
159 schema:givenName Oriol
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013337014571.33
161 rdf:type schema:Person
162 sg:person.01334137062.89 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
163 schema:familyName Martí-Pastor
164 schema:givenName Marc
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334137062.89
166 rdf:type schema:Person
167 sg:person.01350600237.07 schema:affiliation https://www.grid.ac/institutes/grid.413448.e
168 schema:familyName Pont
169 schema:givenName Angels
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01350600237.07
171 rdf:type schema:Person
172 sg:person.0613113641.91 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
173 schema:familyName Ávila
174 schema:givenName Mónica
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613113641.91
176 rdf:type schema:Person
177 sg:person.0633345074.57 schema:affiliation https://www.grid.ac/institutes/grid.454735.4
178 schema:familyName Medina-Bustos
179 schema:givenName Antonia
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633345074.57
181 rdf:type schema:Person
182 sg:person.0656007764.41 schema:affiliation https://www.grid.ac/institutes/grid.413448.e
183 schema:familyName Rajmil
184 schema:givenName Luis
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0656007764.41
186 rdf:type schema:Person
187 sg:person.0667250145.46 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
188 schema:familyName Vilagut
189 schema:givenName Gemma
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667250145.46
191 rdf:type schema:Person
192 sg:person.0667446237.18 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
193 schema:familyName Garin
194 schema:givenName Olatz
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667446237.18
196 rdf:type schema:Person
197 sg:person.0700551575.90 schema:affiliation https://www.grid.ac/institutes/grid.7080.f
198 schema:familyName Pardo
199 schema:givenName Yolanda
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0700551575.90
201 rdf:type schema:Person
202 sg:person.0730672204.00 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
203 schema:familyName Forero
204 schema:givenName Carlos G.
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730672204.00
206 rdf:type schema:Person
207 sg:pub.10.1007/s00134-004-2471-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038932292
208 https://doi.org/10.1007/s00134-004-2471-6
209 rdf:type schema:CreativeWork
210 sg:pub.10.1007/s11136-006-0020-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001499618
211 https://doi.org/10.1007/s11136-006-0020-1
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s11136-006-9132-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023597728
214 https://doi.org/10.1007/s11136-006-9132-x
215 rdf:type schema:CreativeWork
216 sg:pub.10.1007/s11136-007-9243-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1031483294
217 https://doi.org/10.1007/s11136-007-9243-z
218 rdf:type schema:CreativeWork
219 sg:pub.10.1007/s11136-010-9639-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1013824785
220 https://doi.org/10.1007/s11136-010-9639-z
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s11136-011-0018-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020524916
223 https://doi.org/10.1007/s11136-011-0018-1
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s11136-011-9903-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044866349
226 https://doi.org/10.1007/s11136-011-9903-x
227 rdf:type schema:CreativeWork
228 sg:pub.10.1007/s11136-012-0322-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013566582
229 https://doi.org/10.1007/s11136-012-0322-4
230 rdf:type schema:CreativeWork
231 sg:pub.10.1007/s11136-012-0331-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040828198
232 https://doi.org/10.1007/s11136-012-0331-3
233 rdf:type schema:CreativeWork
234 sg:pub.10.1007/s11136-014-0670-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031802675
235 https://doi.org/10.1007/s11136-014-0670-3
236 rdf:type schema:CreativeWork
237 sg:pub.10.1007/s11136-015-1164-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013850155
238 https://doi.org/10.1007/s11136-015-1164-7
239 rdf:type schema:CreativeWork
240 sg:pub.10.1007/s11136-016-1428-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048875347
241 https://doi.org/10.1007/s11136-016-1428-x
242 rdf:type schema:CreativeWork
243 sg:pub.10.1007/s11999-014-4091-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1047377495
244 https://doi.org/10.1007/s11999-014-4091-y
245 rdf:type schema:CreativeWork
246 sg:pub.10.1023/a:1008809610703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006134514
247 https://doi.org/10.1023/a:1008809610703
248 rdf:type schema:CreativeWork
249 sg:pub.10.1023/a:1015291021312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010169029
250 https://doi.org/10.1023/a:1015291021312
251 rdf:type schema:CreativeWork
252 sg:pub.10.1186/1477-7525-1-54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023782676
253 https://doi.org/10.1186/1477-7525-1-54
254 rdf:type schema:CreativeWork
255 sg:pub.10.1186/1477-7525-12-74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006047357
256 https://doi.org/10.1186/1477-7525-12-74
257 rdf:type schema:CreativeWork
258 sg:pub.10.1186/s12955-014-0203-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033395132
259 https://doi.org/10.1186/s12955-014-0203-3
260 rdf:type schema:CreativeWork
261 sg:pub.10.1186/s12955-015-0356-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041041454
262 https://doi.org/10.1186/s12955-015-0356-8
263 rdf:type schema:CreativeWork
264 https://app.dimensions.ai/details/publication/pub.1074671746 schema:CreativeWork
265 https://app.dimensions.ai/details/publication/pub.1074764199 schema:CreativeWork
266 https://app.dimensions.ai/details/publication/pub.1083119960 schema:CreativeWork
267 https://app.dimensions.ai/details/publication/pub.1109411206 schema:CreativeWork
268 https://doi.org/10.1002/hec.866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024719442
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1007/s11999-014-4091-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1047377495
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1016/j.jval.2012.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020168280
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1016/j.jval.2016.09.170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052528502
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1016/s0167-6296(01)00130-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042985522
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1016/s0212-6567(00)78518-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052929066
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1055/s-2005-867061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057445306
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1093/rheumatology/38.9.807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030637679
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1097/00005650-199711000-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060223465
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1097/00005650-200001000-00013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060223888
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1097/01.mlr.0000182493.57090.c1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043950676
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1097/01.mlr.0000254515.63841.81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012052983
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1111/j.1524-4733.2006.00108.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045708715
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1111/j.1524-4733.2007.00230.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044549611
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1136/bmj.316.7133.736 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006446435
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1136/bmj.324.7351.1417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022785409
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1136/bmj.f167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019437805
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1136/bmjopen-2011-000128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017597966
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1177/0272989x0102100102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039415942
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1201/9781420080674 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109411206
307 rdf:type schema:CreativeWork
308 https://doi.org/10.3961/jpmph.2008.41.3.165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071763151
309 rdf:type schema:CreativeWork
310 https://www.grid.ac/institutes/grid.410476.0 schema:alternateName Universidad Publica De Navarra
311 schema:name Public University of Navarra, Pamplona, Spain
312 rdf:type schema:Organization
313 https://www.grid.ac/institutes/grid.413448.e schema:alternateName Instituto de Salud Carlos III
314 schema:name Agency for Healthcare Quality and Assessment of Catalonia (AQuAS), Barcelona, Spain
315 CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
316 IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain
317 rdf:type schema:Organization
318 https://www.grid.ac/institutes/grid.454735.4 schema:alternateName Government of Catalonia
319 schema:name Direcció General de Planificació en Salut. Departament de Salut de la Generalitat de Catalunya, Barcelona, Spain
320 Universidad Pompeu Fabra, Barcelona, Spain
321 rdf:type schema:Organization
322 https://www.grid.ac/institutes/grid.5612.0 schema:alternateName Pompeu Fabra University
323 schema:name CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
324 IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain
325 Universidad Pompeu Fabra, Barcelona, Spain
326 rdf:type schema:Organization
327 https://www.grid.ac/institutes/grid.7080.f schema:alternateName Autonomous University of Barcelona
328 schema:name CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
329 IMIM (Hospital del Mar Medical Research Institute), Health Services Research Group, Doctor Aiguader, 88, 08003, Barcelona, Spain
330 Universitat Autonoma de Barcelona (UAB), Barcelona, Spain
331 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...