Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey
Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample...
Ausführliche Beschreibung
Autor*in: |
Cunillera, Oriol [verfasserIn] Tresserras, Ricard [verfasserIn] Rajmil, Luis [verfasserIn] Vilagut, Gemma [verfasserIn] Brugulat, Pilar [verfasserIn] Herdman, Mike [verfasserIn] Mompart, Anna [verfasserIn] Medina, Antonia [verfasserIn] Pardo, Yolanda [verfasserIn] Alonso, Jordi [verfasserIn] Brazier, John [verfasserIn] Ferrer, Montse [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2010 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Quality of life research - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992, 19(2010), 6 vom: 31. März, Seite 853-864 |
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Übergeordnetes Werk: |
volume:19 ; year:2010 ; number:6 ; day:31 ; month:03 ; pages:853-864 |
Links: |
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DOI / URN: |
10.1007/s11136-010-9639-z |
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Katalog-ID: |
SPR016981421 |
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245 | 1 | 0 | |a Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey |
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520 | |a Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. | ||
650 | 4 | |a Mental Component Summary |7 (dpeaa)DE-He213 | |
650 | 4 | |a Chronic Physical Condition |7 (dpeaa)DE-He213 | |
650 | 4 | |a Problem Effect Size |7 (dpeaa)DE-He213 | |
650 | 4 | |a Specific Chronic Condition |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Tresserras, Ricard |e verfasserin |4 aut | |
700 | 1 | |a Rajmil, Luis |e verfasserin |4 aut | |
700 | 1 | |a Vilagut, Gemma |e verfasserin |4 aut | |
700 | 1 | |a Brugulat, Pilar |e verfasserin |4 aut | |
700 | 1 | |a Herdman, Mike |e verfasserin |4 aut | |
700 | 1 | |a Mompart, Anna |e verfasserin |4 aut | |
700 | 1 | |a Medina, Antonia |e verfasserin |4 aut | |
700 | 1 | |a Pardo, Yolanda |e verfasserin |4 aut | |
700 | 1 | |a Alonso, Jordi |e verfasserin |4 aut | |
700 | 1 | |a Brazier, John |e verfasserin |4 aut | |
700 | 1 | |a Ferrer, Montse |e verfasserin |4 aut | |
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10.1007/s11136-010-9639-z doi (DE-627)SPR016981421 (SPR)s11136-010-9639-z-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Cunillera, Oriol verfasserin aut Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. Mental Component Summary (dpeaa)DE-He213 Chronic Physical Condition (dpeaa)DE-He213 Problem Effect Size (dpeaa)DE-He213 Specific Chronic Condition (dpeaa)DE-He213 Chronic Allergy (dpeaa)DE-He213 Tresserras, Ricard verfasserin aut Rajmil, Luis verfasserin aut Vilagut, Gemma verfasserin aut Brugulat, Pilar verfasserin aut Herdman, Mike verfasserin aut Mompart, Anna verfasserin aut Medina, Antonia verfasserin aut Pardo, Yolanda verfasserin aut Alonso, Jordi verfasserin aut Brazier, John verfasserin aut Ferrer, Montse verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 19(2010), 6 vom: 31. März, Seite 853-864 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:19 year:2010 number:6 day:31 month:03 pages:853-864 https://dx.doi.org/10.1007/s11136-010-9639-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 19 2010 6 31 03 853-864 |
spelling |
10.1007/s11136-010-9639-z doi (DE-627)SPR016981421 (SPR)s11136-010-9639-z-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Cunillera, Oriol verfasserin aut Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. Mental Component Summary (dpeaa)DE-He213 Chronic Physical Condition (dpeaa)DE-He213 Problem Effect Size (dpeaa)DE-He213 Specific Chronic Condition (dpeaa)DE-He213 Chronic Allergy (dpeaa)DE-He213 Tresserras, Ricard verfasserin aut Rajmil, Luis verfasserin aut Vilagut, Gemma verfasserin aut Brugulat, Pilar verfasserin aut Herdman, Mike verfasserin aut Mompart, Anna verfasserin aut Medina, Antonia verfasserin aut Pardo, Yolanda verfasserin aut Alonso, Jordi verfasserin aut Brazier, John verfasserin aut Ferrer, Montse verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 19(2010), 6 vom: 31. März, Seite 853-864 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:19 year:2010 number:6 day:31 month:03 pages:853-864 https://dx.doi.org/10.1007/s11136-010-9639-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 19 2010 6 31 03 853-864 |
allfields_unstemmed |
10.1007/s11136-010-9639-z doi (DE-627)SPR016981421 (SPR)s11136-010-9639-z-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Cunillera, Oriol verfasserin aut Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. Mental Component Summary (dpeaa)DE-He213 Chronic Physical Condition (dpeaa)DE-He213 Problem Effect Size (dpeaa)DE-He213 Specific Chronic Condition (dpeaa)DE-He213 Chronic Allergy (dpeaa)DE-He213 Tresserras, Ricard verfasserin aut Rajmil, Luis verfasserin aut Vilagut, Gemma verfasserin aut Brugulat, Pilar verfasserin aut Herdman, Mike verfasserin aut Mompart, Anna verfasserin aut Medina, Antonia verfasserin aut Pardo, Yolanda verfasserin aut Alonso, Jordi verfasserin aut Brazier, John verfasserin aut Ferrer, Montse verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 19(2010), 6 vom: 31. März, Seite 853-864 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:19 year:2010 number:6 day:31 month:03 pages:853-864 https://dx.doi.org/10.1007/s11136-010-9639-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 19 2010 6 31 03 853-864 |
allfieldsGer |
10.1007/s11136-010-9639-z doi (DE-627)SPR016981421 (SPR)s11136-010-9639-z-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Cunillera, Oriol verfasserin aut Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. Mental Component Summary (dpeaa)DE-He213 Chronic Physical Condition (dpeaa)DE-He213 Problem Effect Size (dpeaa)DE-He213 Specific Chronic Condition (dpeaa)DE-He213 Chronic Allergy (dpeaa)DE-He213 Tresserras, Ricard verfasserin aut Rajmil, Luis verfasserin aut Vilagut, Gemma verfasserin aut Brugulat, Pilar verfasserin aut Herdman, Mike verfasserin aut Mompart, Anna verfasserin aut Medina, Antonia verfasserin aut Pardo, Yolanda verfasserin aut Alonso, Jordi verfasserin aut Brazier, John verfasserin aut Ferrer, Montse verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 19(2010), 6 vom: 31. März, Seite 853-864 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:19 year:2010 number:6 day:31 month:03 pages:853-864 https://dx.doi.org/10.1007/s11136-010-9639-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 19 2010 6 31 03 853-864 |
allfieldsSound |
10.1007/s11136-010-9639-z doi (DE-627)SPR016981421 (SPR)s11136-010-9639-z-e DE-627 ger DE-627 rakwb eng 100 ASE 44.52 bkl Cunillera, Oriol verfasserin aut Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. Mental Component Summary (dpeaa)DE-He213 Chronic Physical Condition (dpeaa)DE-He213 Problem Effect Size (dpeaa)DE-He213 Specific Chronic Condition (dpeaa)DE-He213 Chronic Allergy (dpeaa)DE-He213 Tresserras, Ricard verfasserin aut Rajmil, Luis verfasserin aut Vilagut, Gemma verfasserin aut Brugulat, Pilar verfasserin aut Herdman, Mike verfasserin aut Mompart, Anna verfasserin aut Medina, Antonia verfasserin aut Pardo, Yolanda verfasserin aut Alonso, Jordi verfasserin aut Brazier, John verfasserin aut Ferrer, Montse verfasserin aut Enthalten in Quality of life research Dordrecht [u.a.] : Springer Science + Business Media B.V, 1992 19(2010), 6 vom: 31. März, Seite 853-864 (DE-627)320474399 (DE-600)2008960-0 1573-2649 nnns volume:19 year:2010 number:6 day:31 month:03 pages:853-864 https://dx.doi.org/10.1007/s11136-010-9639-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2938 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 44.52 ASE AR 19 2010 6 31 03 853-864 |
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Enthalten in Quality of life research 19(2010), 6 vom: 31. März, Seite 853-864 volume:19 year:2010 number:6 day:31 month:03 pages:853-864 |
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Cunillera, Oriol @@aut@@ Tresserras, Ricard @@aut@@ Rajmil, Luis @@aut@@ Vilagut, Gemma @@aut@@ Brugulat, Pilar @@aut@@ Herdman, Mike @@aut@@ Mompart, Anna @@aut@@ Medina, Antonia @@aut@@ Pardo, Yolanda @@aut@@ Alonso, Jordi @@aut@@ Brazier, John @@aut@@ Ferrer, Montse @@aut@@ |
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Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. 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|
author |
Cunillera, Oriol |
spellingShingle |
Cunillera, Oriol ddc 100 bkl 44.52 misc Mental Component Summary misc Chronic Physical Condition misc Problem Effect Size misc Specific Chronic Condition misc Chronic Allergy Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey |
authorStr |
Cunillera, Oriol |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)320474399 |
format |
electronic Article |
dewey-ones |
100 - Philosophy & psychology |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut aut aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1573-2649 |
topic_title |
100 ASE 44.52 bkl Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey Mental Component Summary (dpeaa)DE-He213 Chronic Physical Condition (dpeaa)DE-He213 Problem Effect Size (dpeaa)DE-He213 Specific Chronic Condition (dpeaa)DE-He213 Chronic Allergy (dpeaa)DE-He213 |
topic |
ddc 100 bkl 44.52 misc Mental Component Summary misc Chronic Physical Condition misc Problem Effect Size misc Specific Chronic Condition misc Chronic Allergy |
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Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey |
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Cunillera, Oriol Tresserras, Ricard Rajmil, Luis Vilagut, Gemma Brugulat, Pilar Herdman, Mike Mompart, Anna Medina, Antonia Pardo, Yolanda Alonso, Jordi Brazier, John Ferrer, Montse |
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discriminative capacity of the eq-5d, sf-6d, and sf-12 as measures of health status in population health survey |
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Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey |
abstract |
Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. |
abstractGer |
Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. |
abstract_unstemmed |
Purpose To compare the EQ-5D, SF-6D, and SF-12 in terms of their capacity to discriminate between groups defined by relevant socio-demographic and health characteristics in a general population survey. Methods Data were obtained from the 2006 Catalan Health Interview Survey, a representative sample (n = 4,319) of the general population of Catalonia (Spain). Effect sizes (ES) and Receiver Operating Characteristic (ROC) curves were calculated to evaluate the instruments’ capacity to distinguish between groups based on socio-demographic variables, recent health problems, perceived health, psychological distress, and selected chronic conditions. Results All instruments showed a similar discriminative capacity between groups based on socio-demographic variables, recent medical visit (ES = 0.47–0.55), activity limitations (ES = 0.92–0.98), perceived health (ES = 0.97–1.33), and psychological well-being (ES = 1.17–1.57). Effect sizes between respondents with and without any of fourteen selected chronic conditions were large (0.76–1.04) for 4, moderate (0.55–0.74) for 8, and small (0.17–0.39) for two on the EQ-5D index. A similar pattern was observed for the SF-12 but ES were predominantly moderate (7 conditions) or small (6 conditions) on the SF-6D. Conclusions The EQ-5D and SF-12 were largely comparable in estimating the health burden of chronic conditions, recent health problems, and social inequalities. The SF-6D was less sensitive than the EQ-5D index and SF-12, particularly for physical chronic conditions. |
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|
score |
7.402669 |