The EQ-5D-5L valuation study in Korea
Purpose This study aimed to estimate Korean preference weights for EQ-5D-5L based on values elicited from Korean population by applying the EuroQol Valuation Technology (EQ-VT) program and the standard protocol by the EuroQol Group. Methods The multistage quota sampling method was used to recruit 10...
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| Veröffentlicht in: | Quality of life research 2016-07, Vol.25 (7), p.1845-1852 |
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| creator | Kim, Seon-Ha Ahn, Jeonghoon Ock, Minsu Shin, Sangjin Park, Jooyeon Luo, Nan Jo, Min-Woo |
| description | Purpose This study aimed to estimate Korean preference weights for EQ-5D-5L based on values elicited from Korean population by applying the EuroQol Valuation Technology (EQ-VT) program and the standard protocol by the EuroQol Group. Methods The multistage quota sampling method was used to recruit 1085 subjects from the general population in Korea. Each respondent valuated 10 health states using the composite time trade-off (cTTO) and 7 health states using discrete choice experiment. The EQ-VT program was developed by the EuroQol Group and translated into Korean with the Korean research team. Computer-assisted, face-to-face interviews were conducted. A range of predictive models were explored using cTTO. The most appropriate model was determined after assessing goodness of fit, logical consistency, and parsimony. Results Of 3206 contacted, 1085 subjects completed interviews (33.8 %) and 1080 were used for modeling. A model with dummy variables for each level of severity and dimension and a term that picked up whether any dimension in the state was at level 4 or 5 was selected as the best predictive model. All coefficients of the final model were statistically significant and logically consistent. In addition, it was parsimonious. This model had mean absolute error of 0.027, and the absolute error for all 86 health states was below 0.1. Conclusions The final model built in this study appears to predict the utilities of the states which were valuated directly. This model could be used to interpolate quality weights for all EQ-5D-5L health states. |
| doi_str_mv | 10.1007/s11136-015-1205-2 |
| format | Article |
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Methods The multistage quota sampling method was used to recruit 1085 subjects from the general population in Korea. Each respondent valuated 10 health states using the composite time trade-off (cTTO) and 7 health states using discrete choice experiment. The EQ-VT program was developed by the EuroQol Group and translated into Korean with the Korean research team. Computer-assisted, face-to-face interviews were conducted. A range of predictive models were explored using cTTO. The most appropriate model was determined after assessing goodness of fit, logical consistency, and parsimony. Results Of 3206 contacted, 1085 subjects completed interviews (33.8 %) and 1080 were used for modeling. A model with dummy variables for each level of severity and dimension and a term that picked up whether any dimension in the state was at level 4 or 5 was selected as the best predictive model. All coefficients of the final model were statistically significant and logically consistent. In addition, it was parsimonious. This model had mean absolute error of 0.027, and the absolute error for all 86 health states was below 0.1. Conclusions The final model built in this study appears to predict the utilities of the states which were valuated directly. This model could be used to interpolate quality weights for all EQ-5D-5L health states.</description><identifier>ISSN: 0962-9343</identifier><identifier>EISSN: 1573-2649</identifier><identifier>DOI: 10.1007/s11136-015-1205-2</identifier><identifier>PMID: 26961008</identifier><language>eng</language><publisher>Cham: Springer</publisher><subject>Activities of daily living ; Adult ; Choice Behavior ; Constant coefficients ; Evidence-based medicine ; Experiments ; Female ; Goodness of fit ; Health care ; Health care economics ; Health care industry ; Health Status ; Humans ; INSTRUMENT DEVELOPMENT ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Missing persons ; Model theory ; Patient care ; Preferences ; Preventive medicine ; Public Health ; Quality assurance ; Quality of life ; Quality of Life - psychology ; Quality of Life Research ; Quantitative psychology ; Republic of Korea ; Social research ; Sociology ; Software ; Surveys and Questionnaires ; Valuation ; Values ; Young Adult</subject><ispartof>Quality of life research, 2016-07, Vol.25 (7), p.1845-1852</ispartof><rights>Springer International Publishing 2016</rights><rights>Springer International Publishing Switzerland 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-43843df8e18e124bcf2f7e1807e9daabf94fdd9af535c641be1136d5345998a43</citedby><cites>FETCH-LOGICAL-c394t-43843df8e18e124bcf2f7e1807e9daabf94fdd9af535c641be1136d5345998a43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/44852945$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/44852945$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,782,786,805,27931,27932,41495,42564,51326,58024,58257</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26961008$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Seon-Ha</creatorcontrib><creatorcontrib>Ahn, Jeonghoon</creatorcontrib><creatorcontrib>Ock, Minsu</creatorcontrib><creatorcontrib>Shin, Sangjin</creatorcontrib><creatorcontrib>Park, Jooyeon</creatorcontrib><creatorcontrib>Luo, Nan</creatorcontrib><creatorcontrib>Jo, Min-Woo</creatorcontrib><title>The EQ-5D-5L valuation study in Korea</title><title>Quality of life research</title><addtitle>Qual Life Res</addtitle><addtitle>Qual Life Res</addtitle><description>Purpose This study aimed to estimate Korean preference weights for EQ-5D-5L based on values elicited from Korean population by applying the EuroQol Valuation Technology (EQ-VT) program and the standard protocol by the EuroQol Group. Methods The multistage quota sampling method was used to recruit 1085 subjects from the general population in Korea. Each respondent valuated 10 health states using the composite time trade-off (cTTO) and 7 health states using discrete choice experiment. The EQ-VT program was developed by the EuroQol Group and translated into Korean with the Korean research team. Computer-assisted, face-to-face interviews were conducted. A range of predictive models were explored using cTTO. The most appropriate model was determined after assessing goodness of fit, logical consistency, and parsimony. Results Of 3206 contacted, 1085 subjects completed interviews (33.8 %) and 1080 were used for modeling. A model with dummy variables for each level of severity and dimension and a term that picked up whether any dimension in the state was at level 4 or 5 was selected as the best predictive model. All coefficients of the final model were statistically significant and logically consistent. In addition, it was parsimonious. This model had mean absolute error of 0.027, and the absolute error for all 86 health states was below 0.1. Conclusions The final model built in this study appears to predict the utilities of the states which were valuated directly. This model could be used to interpolate quality weights for all EQ-5D-5L health states.</description><subject>Activities of daily living</subject><subject>Adult</subject><subject>Choice Behavior</subject><subject>Constant coefficients</subject><subject>Evidence-based medicine</subject><subject>Experiments</subject><subject>Female</subject><subject>Goodness of fit</subject><subject>Health care</subject><subject>Health care economics</subject><subject>Health care industry</subject><subject>Health Status</subject><subject>Humans</subject><subject>INSTRUMENT DEVELOPMENT</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Missing persons</subject><subject>Model theory</subject><subject>Patient care</subject><subject>Preferences</subject><subject>Preventive medicine</subject><subject>Public Health</subject><subject>Quality assurance</subject><subject>Quality of life</subject><subject>Quality of Life - psychology</subject><subject>Quality of Life Research</subject><subject>Quantitative psychology</subject><subject>Republic of Korea</subject><subject>Social research</subject><subject>Sociology</subject><subject>Software</subject><subject>Surveys and Questionnaires</subject><subject>Valuation</subject><subject>Values</subject><subject>Young Adult</subject><issn>0962-9343</issn><issn>1573-2649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kFtLwzAYhoMobk5_gBdKQQRvojk2yaXMecCBCPM6pG2iHV07k1bYvzelc4gXQiCEPO_zfbwAnGJ0jRESNwFjTFOIMIeYIA7JHhhjLigkKVP7YIxUSqCijI7AUQhLhJBUiByCEUlVGg1yDC4XHzaZvUJ-B_k8-TJVZ9qyqZPQdsUmKevkufHWHIMDZ6pgT7b3BLzdzxbTRzh_eXia3s5hThVrIaOS0cJJi-MhLMsdcSI-kLCqMCZzirmiUMZxyvOU4cz2-xecMq6UNIxOwNXgXfvms7Oh1asy5LaqTG2bLmgsFGOpFEhF9OIPumw6X8fteopKhLgQkcIDlfsmBG-dXvtyZfxGY6T7DvXQoY4d6r5DTWLmfGvuspUtdomf0iJABiDEr_rd-l-j_7GeDaFlaBu_kzImOVGM028IioGt</recordid><startdate>20160701</startdate><enddate>20160701</enddate><creator>Kim, Seon-Ha</creator><creator>Ahn, Jeonghoon</creator><creator>Ock, Minsu</creator><creator>Shin, Sangjin</creator><creator>Park, Jooyeon</creator><creator>Luo, Nan</creator><creator>Jo, Min-Woo</creator><general>Springer</general><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KB0</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20160701</creationdate><title>The EQ-5D-5L valuation study in Korea</title><author>Kim, Seon-Ha ; Ahn, Jeonghoon ; Ock, Minsu ; Shin, Sangjin ; Park, Jooyeon ; Luo, Nan ; Jo, Min-Woo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-43843df8e18e124bcf2f7e1807e9daabf94fdd9af535c641be1136d5345998a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Activities of daily living</topic><topic>Adult</topic><topic>Choice Behavior</topic><topic>Constant coefficients</topic><topic>Evidence-based medicine</topic><topic>Experiments</topic><topic>Female</topic><topic>Goodness of fit</topic><topic>Health care</topic><topic>Health care economics</topic><topic>Health care industry</topic><topic>Health Status</topic><topic>Humans</topic><topic>INSTRUMENT DEVELOPMENT</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Missing persons</topic><topic>Model theory</topic><topic>Patient care</topic><topic>Preferences</topic><topic>Preventive medicine</topic><topic>Public Health</topic><topic>Quality assurance</topic><topic>Quality of life</topic><topic>Quality of Life - psychology</topic><topic>Quality of Life Research</topic><topic>Quantitative psychology</topic><topic>Republic of Korea</topic><topic>Social research</topic><topic>Sociology</topic><topic>Software</topic><topic>Surveys and Questionnaires</topic><topic>Valuation</topic><topic>Values</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Seon-Ha</creatorcontrib><creatorcontrib>Ahn, Jeonghoon</creatorcontrib><creatorcontrib>Ock, Minsu</creatorcontrib><creatorcontrib>Shin, Sangjin</creatorcontrib><creatorcontrib>Park, Jooyeon</creatorcontrib><creatorcontrib>Luo, Nan</creatorcontrib><creatorcontrib>Jo, Min-Woo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Quality of life research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Seon-Ha</au><au>Ahn, Jeonghoon</au><au>Ock, Minsu</au><au>Shin, Sangjin</au><au>Park, Jooyeon</au><au>Luo, Nan</au><au>Jo, Min-Woo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The EQ-5D-5L valuation study in Korea</atitle><jtitle>Quality of life research</jtitle><stitle>Qual Life Res</stitle><addtitle>Qual Life Res</addtitle><date>2016-07-01</date><risdate>2016</risdate><volume>25</volume><issue>7</issue><spage>1845</spage><epage>1852</epage><pages>1845-1852</pages><issn>0962-9343</issn><eissn>1573-2649</eissn><abstract>Purpose This study aimed to estimate Korean preference weights for EQ-5D-5L based on values elicited from Korean population by applying the EuroQol Valuation Technology (EQ-VT) program and the standard protocol by the EuroQol Group. Methods The multistage quota sampling method was used to recruit 1085 subjects from the general population in Korea. Each respondent valuated 10 health states using the composite time trade-off (cTTO) and 7 health states using discrete choice experiment. The EQ-VT program was developed by the EuroQol Group and translated into Korean with the Korean research team. Computer-assisted, face-to-face interviews were conducted. A range of predictive models were explored using cTTO. The most appropriate model was determined after assessing goodness of fit, logical consistency, and parsimony. Results Of 3206 contacted, 1085 subjects completed interviews (33.8 %) and 1080 were used for modeling. A model with dummy variables for each level of severity and dimension and a term that picked up whether any dimension in the state was at level 4 or 5 was selected as the best predictive model. All coefficients of the final model were statistically significant and logically consistent. In addition, it was parsimonious. This model had mean absolute error of 0.027, and the absolute error for all 86 health states was below 0.1. Conclusions The final model built in this study appears to predict the utilities of the states which were valuated directly. This model could be used to interpolate quality weights for all EQ-5D-5L health states.</abstract><cop>Cham</cop><pub>Springer</pub><pmid>26961008</pmid><doi>10.1007/s11136-015-1205-2</doi><tpages>8</tpages></addata></record> |
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| subjects | Activities of daily living Adult Choice Behavior Constant coefficients Evidence-based medicine Experiments Female Goodness of fit Health care Health care economics Health care industry Health Status Humans INSTRUMENT DEVELOPMENT Male Medicine Medicine & Public Health Middle Aged Missing persons Model theory Patient care Preferences Preventive medicine Public Health Quality assurance Quality of life Quality of Life - psychology Quality of Life Research Quantitative psychology Republic of Korea Social research Sociology Software Surveys and Questionnaires Valuation Values Young Adult |
| title | The EQ-5D-5L valuation study in Korea |
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