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A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L

BACKGROUND: The COVID-19 pandemic has resulted in negative impacts on the economy, population health, and health-related quality-of-life (HRQoL). OBJECTIVE: To assess the impact of COVID-19 on US population HRQoL using the EQ-5D-5L. DESIGN: We surveyed respondents on physical and mental health, demo...

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Autores principales: Hay, Joel W., Gong, Cynthia L., Jiao, Xiayu, Zawadzki, Nadine K., Zawadzki, Roy S., Pickard, A. Simon, Xie, Feng, Crawford, Samuel A., Gu, Ning Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939446/
https://www.ncbi.nlm.nih.gov/pubmed/33686587
http://dx.doi.org/10.1007/s11606-021-06674-z
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author Hay, Joel W.
Gong, Cynthia L.
Jiao, Xiayu
Zawadzki, Nadine K.
Zawadzki, Roy S.
Pickard, A. Simon
Xie, Feng
Crawford, Samuel A.
Gu, Ning Yan
author_facet Hay, Joel W.
Gong, Cynthia L.
Jiao, Xiayu
Zawadzki, Nadine K.
Zawadzki, Roy S.
Pickard, A. Simon
Xie, Feng
Crawford, Samuel A.
Gu, Ning Yan
author_sort Hay, Joel W.
collection PubMed
description BACKGROUND: The COVID-19 pandemic has resulted in negative impacts on the economy, population health, and health-related quality-of-life (HRQoL). OBJECTIVE: To assess the impact of COVID-19 on US population HRQoL using the EQ-5D-5L. DESIGN: We surveyed respondents on physical and mental health, demographics, socioeconomics, brief medical history, current COVID-19 status, sleep, dietary, financial, and spending changes. Results were compared to online and face-to-face US population norms. Predictors of EQ-5D-5L utility were analyzed using both standard and post-lasso OLS regressions. Robustness of regression coefficients against unmeasured confounding was analyzed using the E-Value sensitivity analysis. SUBJECTS: Amazon MTurk workers (n=2776) in the USA. MAIN MEASURES: EQ-5D-5L utility and VAS scores by age group. KEY RESULTS: We received n=2746 responses. Subjects 18–24 years reported lower mean (SD) health utility (0.752 (0.281)) compared with both online (0.844 (0.184), p=0.001) and face-to-face norms (0.919 (0.127), p<0.001). Among ages 25–34, utility was worse compared to face-to-face norms only (0.825 (0.235) vs. 0.911 (0.111), p<0.001). For ages 35–64, utility was better during pandemic compared to online norms (0.845 (0.195) vs. 0.794 (0.247), p<0.001). At age 65+, utility values (0.827 (0.213)) were similar across all samples. VAS scores were worse for all age groups (p<0.005) except ages 45–54. Increasing age and income were correlated with increased utility, while being Asian, American Indian or Alaska Native, Hispanic, married, living alone, having history of chronic illness or self-reported depression, experiencing COVID-19-like symptoms, having a family member diagnosed with COVID-19, fear of COVID-19, being underweight, and living in California were associated with worse utility scores. Results were robust to unmeasured confounding. CONCLUSIONS: HRQoL decreased during the pandemic compared to US population norms, especially for ages 18–24. The mental health impact of COVID-19 is significant and falls primarily on younger adults whose health outcomes may have been overlooked based on policy initiatives to date. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-021-06674-z.
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spelling pubmed-79394462021-03-09 A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L Hay, Joel W. Gong, Cynthia L. Jiao, Xiayu Zawadzki, Nadine K. Zawadzki, Roy S. Pickard, A. Simon Xie, Feng Crawford, Samuel A. Gu, Ning Yan J Gen Intern Med Original Research BACKGROUND: The COVID-19 pandemic has resulted in negative impacts on the economy, population health, and health-related quality-of-life (HRQoL). OBJECTIVE: To assess the impact of COVID-19 on US population HRQoL using the EQ-5D-5L. DESIGN: We surveyed respondents on physical and mental health, demographics, socioeconomics, brief medical history, current COVID-19 status, sleep, dietary, financial, and spending changes. Results were compared to online and face-to-face US population norms. Predictors of EQ-5D-5L utility were analyzed using both standard and post-lasso OLS regressions. Robustness of regression coefficients against unmeasured confounding was analyzed using the E-Value sensitivity analysis. SUBJECTS: Amazon MTurk workers (n=2776) in the USA. MAIN MEASURES: EQ-5D-5L utility and VAS scores by age group. KEY RESULTS: We received n=2746 responses. Subjects 18–24 years reported lower mean (SD) health utility (0.752 (0.281)) compared with both online (0.844 (0.184), p=0.001) and face-to-face norms (0.919 (0.127), p<0.001). Among ages 25–34, utility was worse compared to face-to-face norms only (0.825 (0.235) vs. 0.911 (0.111), p<0.001). For ages 35–64, utility was better during pandemic compared to online norms (0.845 (0.195) vs. 0.794 (0.247), p<0.001). At age 65+, utility values (0.827 (0.213)) were similar across all samples. VAS scores were worse for all age groups (p<0.005) except ages 45–54. Increasing age and income were correlated with increased utility, while being Asian, American Indian or Alaska Native, Hispanic, married, living alone, having history of chronic illness or self-reported depression, experiencing COVID-19-like symptoms, having a family member diagnosed with COVID-19, fear of COVID-19, being underweight, and living in California were associated with worse utility scores. Results were robust to unmeasured confounding. CONCLUSIONS: HRQoL decreased during the pandemic compared to US population norms, especially for ages 18–24. The mental health impact of COVID-19 is significant and falls primarily on younger adults whose health outcomes may have been overlooked based on policy initiatives to date. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-021-06674-z. Springer International Publishing 2021-03-08 2021-05 /pmc/articles/PMC7939446/ /pubmed/33686587 http://dx.doi.org/10.1007/s11606-021-06674-z Text en © Society of General Internal Medicine 2021
spellingShingle Original Research
Hay, Joel W.
Gong, Cynthia L.
Jiao, Xiayu
Zawadzki, Nadine K.
Zawadzki, Roy S.
Pickard, A. Simon
Xie, Feng
Crawford, Samuel A.
Gu, Ning Yan
A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L
title A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L
title_full A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L
title_fullStr A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L
title_full_unstemmed A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L
title_short A US Population Health Survey on the Impact of COVID-19 Using the EQ-5D-5L
title_sort us population health survey on the impact of covid-19 using the eq-5d-5l
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939446/
https://www.ncbi.nlm.nih.gov/pubmed/33686587
http://dx.doi.org/10.1007/s11606-021-06674-z
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