<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liang Y</submitter><funding>National Natural Science Foundations</funding><funding>Key R &amp; D plan of Shaanxi Province</funding><funding>Key R &amp;amp; D plan of Shaanxi Province</funding><pagination>75</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7079393</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>18(1)</volume><pubmed_abstract>BACKGROUND:Proxy respondent-someone who assists the intended respondent or responds on their behalf-are widely applied in the measurement of health-related quality of life (HRQL). However, proxies may not provide the same responses as the intended respondents, which may bias the findings. OBJECTIVES:To determine whether the use of proxies is related to socio-demographic characteristics of the intended respondent, and to assess the possible proxy response bias of Chinese version of EQ-5D-3 L in general population. METHODS:A cross-sectional study based on a provincially representative sample from 2013 National Health Service Survey (NHSS) in Shaanxi, China was performed. HRQL was measured by Chinese version of EQ-5D-3 L. Propensity score matching (PSM) was used to get matched pairs of self-r</pubmed_abstract><journal>Health and quality of life outcomes</journal><pubmed_title>Assessing the proxy response bias of EQ-5D-3 L in general population: a study based on a large-scale representative household health survey using propensity score matching.</pubmed_title><pmcid>PMC7079393</pmcid><funding_grant_id>81573252</funding_grant_id><funding_grant_id>2019SF-143</funding_grant_id><funding_grant_id>81573250</funding_grant_id><funding_grant_id>81773540</funding_grant_id><funding_grant_id>81703315</funding_grant_id><pubmed_authors>Guo L</pubmed_authors><pubmed_authors>Che T</pubmed_authors><pubmed_authors>Liang Y</pubmed_authors><pubmed_authors>Shang L</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Tan Z</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Xu Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Assessing the proxy response bias of EQ-5D-3 L in general population: a study based on a large-scale representative household health survey using propensity score matching.</name><description>BACKGROUND:Proxy respondent-someone who assists the intended respondent or responds on their behalf-are widely applied in the measurement of health-related quality of life (HRQL). However, proxies may not provide the same responses as the intended respondents, which may bias the findings. OBJECTIVES:To determine whether the use of proxies is related to socio-demographic characteristics of the intended respondent, and to assess the possible proxy response bias of Chinese version of EQ-5D-3 L in general population. METHODS:A cross-sectional study based on a provincially representative sample from 2013 National Health Service Survey (NHSS) in Shaanxi, China was performed. HRQL was measured by Chinese version of EQ-5D-3 L. Propensity score matching (PSM) was used to get matched pairs of self-r</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Mar</publication><modification>2025-05-29T19:23:29.691Z</modification><creation>2025-05-29T19:23:29.691Z</creation></dates><accession>S-EPMC7079393</accession><cross_references><pubmed>32188480</pubmed><doi>10.1186/s12955-020-01325-z</doi></cross_references></HashMap>