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

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 medi...

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Autores principales: Lubetkin, Erica I., Long, Di, Haagsma, Juanita A., Janssen, Mathieu F., Bonsel, Gouke J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333246/
https://www.ncbi.nlm.nih.gov/pubmed/35901071
http://dx.doi.org/10.1371/journal.pone.0272252
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author Lubetkin, Erica I.
Long, Di
Haagsma, Juanita A.
Janssen, Mathieu F.
Bonsel, Gouke J.
author_facet Lubetkin, Erica I.
Long, Di
Haagsma, Juanita A.
Janssen, Mathieu F.
Bonsel, Gouke J.
author_sort Lubetkin, Erica I.
collection PubMed
description 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.
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spelling pubmed-93332462022-07-29 Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons Lubetkin, Erica I. Long, Di Haagsma, Juanita A. Janssen, Mathieu F. Bonsel, Gouke J. PLoS One Research Article 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. Public Library of Science 2022-07-28 /pmc/articles/PMC9333246/ /pubmed/35901071 http://dx.doi.org/10.1371/journal.pone.0272252 Text en © 2022 Lubetkin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lubetkin, Erica I.
Long, Di
Haagsma, Juanita A.
Janssen, Mathieu F.
Bonsel, Gouke J.
Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons
title Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons
title_full Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons
title_fullStr Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons
title_full_unstemmed Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons
title_short Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons
title_sort health inequities as measured by the eq-5d-5l during covid-19: results from new york in healthy and diseased persons
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333246/
https://www.ncbi.nlm.nih.gov/pubmed/35901071
http://dx.doi.org/10.1371/journal.pone.0272252
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