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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.
  • Hay JW; Schaeffer Center for Health Policy & Economics, School of Pharmacy, University of Southern California, Los Angeles, CA, USA.
  • Gong CL; Fetal & Neonatal Institute, Children's Hospital Los Angeles, Los Angeles, CA, USA. gongc@usc.edu.
  • Jiao X; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. gongc@usc.edu.
  • Zawadzki NK; Schaeffer Center for Health Policy & Economics, School of Pharmacy, University of Southern California, Los Angeles, CA, USA.
  • Zawadzki RS; Schaeffer Center for Health Policy & Economics, School of Pharmacy, University of Southern California, Los Angeles, CA, USA.
  • Pickard AS; Department of Statistics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, USA.
  • Xie F; Pharmacy Systems, Outcomes and Policy, University of Illinois at Chicago, Chicago, IL, USA.
  • Crawford SA; EuroQol Research Foundation, Rotterdam, the Netherlands.
  • Gu NY; Department of Health Research Methods, Evidence and Impact (HEI), McMaster University, Hamilton, ON, Canada.
J Gen Intern Med ; 36(5): 1292-1301, 2021 05.
Article in English | MEDLINE | ID: covidwho-1122807
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Health / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Adolescent / Adult / Aged / Humans / Middle aged / Young adult Language: English Journal: J Gen Intern Med Journal subject: Internal Medicine Year: 2021 Document Type: Article Affiliation country: S11606-021-06674-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Health / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Adolescent / Adult / Aged / Humans / Middle aged / Young adult Language: English Journal: J Gen Intern Med Journal subject: Internal Medicine Year: 2021 Document Type: Article Affiliation country: S11606-021-06674-z