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Assessing Health-Related Quality of Life of Chinese Adults in Heilongjiang Using EQ-5D-3L

Author

Listed:
  • Weidong Huang

    (School of Health Management, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, China)

  • Hongjuan Yu

    (Department of Hematology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China)

  • Chaojie Liu

    (School of Psychology and Public Health, La Trobe University, Melbourne 3086, Australia)

  • Guoxiang Liu

    (School of Health Management, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, China)

  • Qunhong Wu

    (School of Health Management, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, China)

  • Jin Zhou

    (Department of Hematology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China)

  • Xin Zhang

    (School of Health Management, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, China)

  • Xiaowen Zhao

    (School of Health Management, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, China)

  • Linmei Shi

    (School of Health Management, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, China)

  • Xiaoxue Xu

    (School of Health Management, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin 150086, China)

Abstract

This study aimed to assess health-related quality of life (HRQOL) of Heilongjiang adult populations by using the EuroQol five-dimension three-level (EQ-5D-3L) questionnaire and to identify factors associated with HRQOL. Data from the National Health Services Survey (NHSS) 2008 in Heilongjiang province were obtained. Results of EQ-5D-3L questionnaires completed by 11,523 adult respondents (18 years or older) were converted to health index scores using a recently developed Chinese value set. Multivariate linear regression and logistic regression models were established to determine demographic, socioeconomic, health, and lifestyle factors that were associated with HRQOL and reported problems in the five dimensions of EQ-5D-3L. The Heilongjiang population had a mean EQ-5D-3L index score of 0.959. Lower EQ-5D-3L index scores were associated with older age, lower levels of education, chronic conditions, temporary accommodation, poverty, unemployment, and lack of regular physical activities. Older respondents and those who were unemployed, had chronic conditions, and lived in poverty were more likely to report problems in all of the five health dimensions. Higher educational attainment was associated with lower odds of reporting health problems in mobility, pain/discomfort, and anxiety/depression. Low socioeconomic status is associated with poor HRQOL. Regional population norms for EQ-5D-3L are needed for health economic studies due to great socioeconomic disparities across regions in China. Overall, the Heilongjiang population has a similar level of HRQOL compared with the national average.

Suggested Citation

  • Weidong Huang & Hongjuan Yu & Chaojie Liu & Guoxiang Liu & Qunhong Wu & Jin Zhou & Xin Zhang & Xiaowen Zhao & Linmei Shi & Xiaoxue Xu, 2017. "Assessing Health-Related Quality of Life of Chinese Adults in Heilongjiang Using EQ-5D-3L," IJERPH, MDPI, vol. 14(3), pages 1-16, February.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:3:p:224-:d:91288
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    References listed on IDEAS

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    1. Burstrom, Kristina & Johannesson, Magnus & Diderichsen, Finn, 2006. "A comparison of individual and social time trade-off values for health states in the general population," Health Policy, Elsevier, vol. 76(3), pages 359-370, May.
    2. Kharroubi, Samer & Brazier, John E. & O'Hagan, Anthony, 2007. "Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian method," Social Science & Medicine, Elsevier, vol. 64(6), pages 1242-1252, March.
    3. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    4. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    5. Marra, Carlo A. & Woolcott, John C. & Kopec, Jacek A. & Shojania, Kamran & Offer, Robert & Brazier, John E. & Esdaile, John M. & Anis, Aslam H., 2005. "A comparison of generic, indirect utility measures (the HUI2, HUI3, SF-6D, and the EQ-5D) and disease-specific instruments (the RAQoL and the HAQ) in rheumatoid arthritis," Social Science & Medicine, Elsevier, vol. 60(7), pages 1571-1582, April.
    6. Paul Dolan & Daniel Kahneman, 2008. "Interpretations Of Utility And Their Implications For The Valuation Of Health," Economic Journal, Royal Economic Society, vol. 118(525), pages 215-234, January.
    7. Jens Gundgaard & Jørgen Lauridsen, 2006. "A decomposition of income-related health inequality applied to EQ-5D," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(4), pages 231-237, December.
    8. Kharroubi, Samer A. & Brazier, John E. & Roberts, Jennifer & O'Hagan, Anthony, 2007. "Modelling SF-6D health state preference data using a nonparametric Bayesian method," Journal of Health Economics, Elsevier, vol. 26(3), pages 597-612, May.
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    Cited by:

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    3. Jianjian Liu & Wei Yu & Jiayi Zhou & Yifan Yang & Shuoni Chen & Shaotang Wu, 2020. "Relationship between the Number of Noncommunicable Diseases and Health-Related Quality of Life in Chinese Older Adults: A Cross-Sectional Survey," IJERPH, MDPI, vol. 17(14), pages 1-11, July.

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