IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0272252.html
   My bibliography  Save this article

Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons

Author

Listed:
  • Erica I Lubetkin
  • Di Long
  • Juanita A Haagsma
  • Mathieu F Janssen
  • Gouke J Bonsel

Abstract

Introduction: The effects of the COVID-19 pandemic caused considerable psychological and physical effects in healthy and diseased New Yorkers aside from the effects in those who were infected. We investigated the relationship between known risk-enhancing and health-promoting factors (social and medical), comorbidity indicators, and, as the primary outcome, health-related quality of life (HRQoL). Methods: Between April 22 and May 5, 2020, a market research agency (Dynata) administered a digital survey including the EQ-5D-5L and items related to individual characteristics, social position, occupational and insurance status, living situation, exposures (smoking and COVID-19), detailed chronic conditions, and experienced access to care to an existing internet panel representative of New Yorkers. Results: 2684 persons completed the questionnaire. The median age was 48 years old, and most respondents were non-Hispanic white (74%) and reported at least higher vocational training or a university education (83%). During COVID-19, mean HRQoL scores were 0.82 for the EQ-5D-5L index and 79.3 for the EQ VAS. Scores varied for healthy and diseased respondents differently by the above determinants. Lower age, impaired occupational status, loss of health insurance, and limited access to care exerted more influence on EQ-5D-5L scores of diseased persons compared to healthy persons. Among diseased persons, the number of chronic conditions and limited access to health care had the strongest association with EQ-5D-5L scores. While EQ-5D-5L scores improved with increasing age, gender had no noticeable effect. Deprivation factors showed moderate effects, which largely disappeared in (stratified) multivariable analysis, suggesting mediation through excess chronic morbidity and poor healthcare access. Generally, modifying effects were larger in the EQ-5D-5L as compared to the EQ VAS. Conclusions: Almost all factors relating to a disadvantaged position showed a negative association with HRQoL. In diseased respondents, pre-existing chronic comorbidity and experienced access to health care are key factors.

Suggested Citation

  • Erica I Lubetkin & Di Long & Juanita A Haagsma & Mathieu F Janssen & Gouke J Bonsel, 2022. "Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-18, July.
    • Handle: RePEc:plo:pone00:0272252
    DOI: 10.1371/journal.pone.0272252
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0272252
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0272252&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0272252?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ioulia Solomou & Fofi Constantinidou, 2020. "Prevalence and Predictors of Anxiety and Depression Symptoms during the COVID-19 Pandemic and Compliance with Precautionary Measures: Age and Sex Matter," IJERPH, MDPI, vol. 17(14), pages 1-19, July.
    2. Sprangers, Mirjam A. G. & Schwartz, Carolyn E., 1999. "Integrating response shift into health-related quality of life research: a theoretical model," Social Science & Medicine, Elsevier, vol. 48(11), pages 1507-1515, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Svenja M. Spuling & Oliver Huxhold & Susanne Wurm, 2017. "Predictors of Self-Rated Health: Does Education Play a Role Above and Beyond Age?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(3), pages 415-424.
    2. Ilse Adriana Gutiérrez-Pérez & Pedro Delgado-Floody & Daniel Jerez-Mayorga & Diego Soto-García & Felipe Caamaño-Navarrete & Isela Parra-Rojas & Nacim Molina-Gutiérrez & Iris Paola Guzmán-Guzmán, 2021. "Lifestyle and Sociodemographic Parameters Associated with Mental and Physical Health during COVID-19 Confinement in Three Ibero-American Countries. A Cross-Sectional Pilot Study," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    3. Damschroder, Laura J. & Zikmund-Fisher, Brian J. & Ubel, Peter A., 2005. "The impact of considering adaptation in health state valuation," Social Science & Medicine, Elsevier, vol. 61(2), pages 267-277, July.
    4. Julie Yun Chen & Eric Yuk Fai Wan & Edmond Pui Hang Choi & Anca Ka Chun Chan & Karina Hiu Yen Chan & Joyce Pui Yan Tsang & Cindy Lo Kuen Lam, 2017. "The Health-Related Quality of Life of Chinese Patients on Hemodialysis and Peritoneal Dialysis," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(6), pages 799-808, December.
    5. Mateusz Ciski & Krzysztof Rząsa, 2023. "Multiscale Geographically Weighted Regression in the Investigation of Local COVID-19 Anomalies Based on Population Age Structure in Poland," IJERPH, MDPI, vol. 20(10), pages 1-23, May.
    6. Markus Wettstein & Hans-Werner Wahl & Anna Schlomann, 2022. "The Impact of the COVID-19 Pandemic on Trajectories of Well-Being of Middle-Aged and older Adults: A Multidimensional and Multidirectional Perspective," Journal of Happiness Studies, Springer, vol. 23(7), pages 3577-3604, October.
    7. Joseph T. King Jr. & Joel Tsevat & Judith R. Lave & Mark S. Roberts, 2005. "Willingness to Pay for a Quality-Adjusted Life Year: Implications for Societal Health Care Resource Allocation," Medical Decision Making, , vol. 25(6), pages 667-677, November.
    8. Mohamed Boucekine & Laurent Boyer & Karine Baumstarck & Aurelie Millier & Badih Ghattas & Pascal Auquier & Mondher Toumi, 2015. "Exploring the Response Shift Effect on the Quality of Life of Patients with Schizophrenia," Medical Decision Making, , vol. 35(3), pages 388-397, April.
    9. Arielle Kaim & Maya Siman-Tov & Eli Jaffe & Bruria Adini, 2021. "From Isolation to Containment: Perceived Fear of Infectivity and Protective Behavioral Changes during the COVID-19 Vaccination Campaign," IJERPH, MDPI, vol. 18(12), pages 1-12, June.
    10. de Hond, Anne & Bakx, Pieter & Versteegh, Matthijs, 2019. "Can time heal all wounds? An empirical assessment of adaptation to functional limitations in an older population," Social Science & Medicine, Elsevier, vol. 222(C), pages 180-187.
    11. Chia-Huei Wu, 2009. "Enhancing quality of life by shifting importance perception among life domains," Journal of Happiness Studies, Springer, vol. 10(1), pages 37-47, March.
    12. Fereshteh Ghahramani & Jingguo Wang, 2020. "Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective," Information Systems Frontiers, Springer, vol. 22(6), pages 1275-1290, December.
    13. Giorgio Eduardo Montanari & Marco Doretti & Maria Francesca Marino, 2022. "Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(2), pages 457-485, June.
    14. Naiara Ozamiz-Etxebarria & Idoia Legorburu Fernnadez & Darren M. Lipnicki & Nahia Idoiaga Mondragon & Javier Santabárbara, 2023. "Prevalence of Burnout among Teachers during the COVID-19 Pandemic: A Meta-Analysis," IJERPH, MDPI, vol. 20(6), pages 1-13, March.
    15. Astrid Wahl & Tone Rustøen & Berit Hanestad & Eva Gjengedal & Torbjørn Moum, 2005. "Self-Efficacy, Pulmonary Function, Perceived Health and Global Quality of Life of Cystic Fibrosis Patients," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 72(2), pages 239-261, June.
    16. Philipp Bagus & José Antonio Peña-Ramos & Antonio Sánchez-Bayón, 2021. "COVID-19 and the Political Economy of Mass Hysteria," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
    17. Nele Van Hecke & Claudia Claes & Wouter Vanderplasschen & Jessica De Maeyer & Nico De Witte & Stijn Vandevelde, 2018. "Conceptualisation and Measurement of Quality of Life Based on Schalock and Verdugo’s Model: A Cross-Disciplinary Review of the Literature," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 335-351, May.
    18. Ming-Yi Hsu & Shih-Chien Huang & Pang-Li Liu & Kwok-Tak Yeung & Yu-Ming Wang & Hao-Jan Yang, 2022. "The Interaction between Exercise and Marital Status on Depression: A Cross-Sectional Study of the Taiwan Biobank," IJERPH, MDPI, vol. 19(3), pages 1-11, February.
    19. 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.
    20. Chia-huei Wu, 2008. "Examining the appropriateness of importance weighting on satisfaction score from range-of-affect hypothesis: hierarchical linear modeling for within-subject data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(1), pages 101-111, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0272252. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.