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      EQ-5D-5L norms for the urban Chinese population in China

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          Abstract

          Background

          To generate Chinese population norms for the EQ-5D-5L dimensions, EQ-VAS (Visual Analogue Scale) scores and EQ-5D-5L index scores, stratified by gender and age. The EQ-5D is a widely used generic health-related quality of life instrument to describe population health and health outcomes in clinical trials and health economic evaluations. Currently, there are no EQ-5D-5L population norms for China.

          Methods

          This norm study utilized the data collected in an EQ-5D-5L valuation study in China between December 2012 and January 2013. In the valuation study, respondents were asked to report their own health states using the EQ-5D-5L descriptive system and the EQ-VAS. Respondents’ demographic information was also collected. The EQ index score was calculated using the EQ-5D-5L value set based on the Chinese urban population. Norm scores were reported by important demographic variables.

          Results

          The mean EQ-VAS scores ranged between 88.3 for males of < 19 years and 82.9 for females of 60–69 years. Contrary to other population studies, females reported higher EQ-VAS scores than males in every age group except for 20–29 years. The mean EQ-5D-5L index values ranged from 0.912 for females of > 70 years to 0.971 for females of 30–39 years. Respondents reported more problems in the dimensions ‘pain/discomfort’ and ‘anxiety/depression’ than in the dimensions ‘mobility’, ‘self-care’ and ‘usual activities’ in all age groups.

          Conclusions

          The population norm scores for the EQ-5D can be used as reference values for comparative purposes in future Chinese studies. Further research into rural and/or a more representative population is warranted.

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          Most cited references17

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          Estimating an EQ-5D-5L Value Set for China.

          To estimate a five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) value set for China using the health preferences of residents living in the urban areas of the country.
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            A program of methodological research to arrive at the new international EQ-5D-5L valuation protocol.

            To describe the research that has been undertaken by the EuroQol Group to improve current methods for health state valuation, to summarize the results of an extensive international pilot program, and to outline the key elements of the five-level EuroQol five-dimensional (EQ-5D-5L) questionnaire valuation protocol, which is the culmination of that work.
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              Health-related quality of life measured using the EQ-5D–5L: South Australian population norms

              Background Although a five level version of the widely-used EuroQol 5 dimensions (EQ-5D) instrument has been developed, population norms are not yet available for Australia to inform the future valuation of health in economic evaluations. The aim of this study was to estimate HrQOL normative values for the EQ-5D-5L preference-based measure in a large, randomly selected, community sample in South Australia. Methods The EQ-5D-5L instrument was included in the 2013 South Australian Health Omnibus Survey, an interviewer-administered, face-to-face, cross-sectional survey. Respondents rated their level of impairment across dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) and global health rating on a visual analogue scale (EQ-VAS). Utility scores were derived using the newly-developed UK general population-based algorithm and relationships between utility and EQ-VAS scores and socio-demographic factors were also explored using multivariate regression analyses. Results Ultimately, 2,908 adults participated in the survey (63.4 % participation rate). The mean utility and EQ-VAS scores were 0.91 (95 CI 0.90, 0.91) and 78.55 (95 % CI 77.95, 79.15), respectively. Almost half of respondents reported no problems across all dimensions (42.8 %), whereas only 7.2 % rated their health >90 on the EQ-VAS (100 = the best health you can imagine). Younger age, male gender, longer duration of education, higher annual household income, employment and marriage/de facto relationships were all independent, statistically significant predictors of better health status (p < 0.01) measured with the EQ-VAS. Only age and employment status were associated with higher utility scores, indicating fundamental differences between these measures of health status. Conclusions This is the first Australian study to apply the EQ-5D-5L in a large, community sample. Overall, findings are consistent with EQ-5D-5L utility and VAS scores reported for other countries and indicate that the majority of South Australian adults report themselves in full health. When valuing health in Australian economic evaluations, the utility population norms can be used to estimate HrQOL. More generally, the EQ-VAS score may be a better measure of population health given the smaller ceiling effect and broader coverage of HrQOL dimensions. Further research is recommended to update EQ-5D-5L population norms using the Australian general population specific scoring algorithm once this becomes publically available.
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                Author and article information

                Contributors
                +86 18302637542 , zhihao_yang_cn@126.com
                Journal
                Health Qual Life Outcomes
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central (London )
                1477-7525
                8 November 2018
                8 November 2018
                2018
                : 16
                : 210
                Affiliations
                [1 ]ISNI 0000 0000 9330 9891, GRID grid.413458.f, Health Services Management Department, , Guizhou Medical University, ; No.9 Beijing Road, Guiyang, China
                [2 ]ISNI 000000040459992X, GRID grid.5645.2, Medical Psychology and Psychotherapy, , Erasmus Medical Center, ; Wytemaweg, 80 Rotterdam, The Netherlands
                [3 ]ISNI 0000 0001 2256 9319, GRID grid.11135.37, National School of Development, , Peking University, ; 5 Yiheyuan Road, Beijing, 100871 China
                [4 ]ISNI 0000 0001 2180 6431, GRID grid.4280.e, Saw Swee Hock School of Public Health, , National University of Singapore, ; 6 Medical Drive, Block MD3, Singapore, 117597 Singapore
                Author information
                http://orcid.org/0000-0001-5468-0847
                Article
                1036
                10.1186/s12955-018-1036-2
                6225616
                30409137
                dc06591c-e229-46cb-8313-7b41a5c857a4
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 9 March 2018
                : 23 October 2018
                Funding
                Funded by: Peking University China Center for Health Economic Research
                Funded by: FundRef http://dx.doi.org/10.13039/501100006419, EuroQol Research Foundation;
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                eq-5d-5l,population norm,china,hrqol
                Health & Social care
                eq-5d-5l, population norm, china, hrqol

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