Measuring Regional Variations in US Population-Level Health-Related Quality of Life During COVID-19 Using the EQ-5D-5L

Abstract Regional variations in coronavirus disease 2019 (COVID-19) suggest non-uniform impacts on health-related quality-of-life (HRQoL) across the US. This study measured regional variations in US population-level HRQoL during COVID-19. HRQoL was measured by the EQ-5D-5L in a three-wave cross-sectional online survey (spring 2020, summer 2020, winter 2021). Adjusted likelihood of any problems in EQ-5D-5L domains and adjusted mean utility and EQ-VAS were estimated and compared between US Census Bureau-designated region-divisions and waves. Regional variations were significant ( p < 0.05) in all domains except Pain/Discomfort in spring 2020, Mobility in summer 2020, and Anxiety/Depression in winter 2021. In spring 2020, East South Central (ESC) had the most Mobility (38%) and Usual Activities (66%) problems, while Self-Care problems were greatest in Mountain (53%), and Anxiety/Depression greatest in East North Central (ENC, 72%) and West North Central (80%). In summer 2020, Self-Care problems were again greatest in Mountain (62%), while ENC saw the most Usual Activities (69%), Pain/Discomfort (67%), and Anxiety/Depression (83%) problems. By winter 2021, ESC had the most problems in Mobility (52%), Self-Care (79%), and Pain/Discomfort (79%), with Usual Activities (68%) only second to Middle Atlantic (69%). Both mean utility and EQ-VAS were significantly lowest in ESC in spring 2020 and winter 2021. Otherwise, utility and EQ-VAS trends generally disagreed. HRQoL varied considerably across regions, often worst in ESC. Variation was likely driven by multiple factors including case rates, policies, and preexisting vulnerabilities; these relationships should be explored in future research. Findings support the need for region-specific health interventions.

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Publication Details

Journal
Applied Research in Quality of Life
Published
2025-02-18
DOI
https://doi.org/10.1007/s11482-025-10427-z
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

Measuring Regional Variations in US Population-Level Health-Related Quality of Life During COVID-19 Using the EQ-5D-5L

Seth A. Seabury, Nadine Zawadzki, Ning Yan Gu, D. Steven Fox et al.
Applied Research in Quality of Life
Health disparities and outcomes
article

Measuring Regional Variations in US Population-Level Health-Related Quality of Life During COVID-19 Using the EQ-5D-5L

Seth A. Seabury, Nadine Zawadzki, Ning Yan Gu, D. Steven Fox, Xiayu Jiao, Roy S. Zawadzki, Cynthia L. Gong, Feng Xie, John A. Romley
article en

Abstract

Abstract Regional variations in coronavirus disease 2019 (COVID-19) suggest non-uniform impacts on health-related quality-of-life (HRQoL) across the US. This study measured regional variations in US population-level HRQoL during COVID-19. HRQoL was measured by the EQ-5D-5L in a three-wave cross-sectional online survey (spring 2020, summer 2020, winter 2021). Adjusted likelihood of any problems in EQ-5D-5L domains and adjusted mean utility and EQ-VAS were estimated and compared between US Census Bureau-designated region-divisions and waves. Regional variations were significant ( p < 0.05) in all domains except Pain/Discomfort in spring 2020, Mobility in summer 2020, and Anxiety/Depression in winter 2021. In spring 2020, East South Central (ESC) had the most Mobility (38%) and Usual Activities (66%) problems, while Self-Care problems were greatest in Mountain (53%), and Anxiety/Depression greatest in East North Central (ENC, 72%) and West North Central (80%). In summer 2020, Self-Care problems were again greatest in Mountain (62%), while ENC saw the most Usual Activities (69%), Pain/Discomfort (67%), and Anxiety/Depression (83%) problems. By winter 2021, ESC had the most problems in Mobility (52%), Self-Care (79%), and Pain/Discomfort (79%), with Usual Activities (68%) only second to Middle Atlantic (69%). Both mean utility and EQ-VAS were significantly lowest in ESC in spring 2020 and winter 2021. Otherwise, utility and EQ-VAS trends generally disagreed. HRQoL varied considerably across regions, often worst in ESC. Variation was likely driven by multiple factors including case rates, policies, and preexisting vulnerabilities; these relationships should be explored in future research. Findings support the need for region-specific health interventions.

Applied Research in Quality of LifeVol. 20(2)
University of Southern California (US), Children's Hospital of Los Angeles (US), University of California, Irvine (US), Impact (CA), University of San Francisco (US), McMaster University (CA)
University of Southern California, EuroQol Research Foundation
Openalex Percentile: Top 96%
Health disparities and outcomes
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