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QALYs for COVID-19: A Comparison of US EQ-5D-5L Value Sets.
Poteet, Stephen; Craig, Benjamin M.
  • Poteet S; Department of Social/Behavioral Sciences, St. Petersburg College, 2465 Drew St, ES313D, Clearwater, FL, 33765, USA. poteet.stephen@spcollege.edu.
  • Craig BM; Department of Economics, University of South Florida, Tampa, FL, USA.
Patient ; 14(3): 339-345, 2021 05.
Article in English | MEDLINE | ID: covidwho-1157038
ABSTRACT

BACKGROUND:

In economic evaluations, quality-adjusted life-years (QALYs) can serve as a unit of measurement for disease burden. Obtaining QALY values for COVID-19 presents a challenge owing to the availability of two US EQ-5D-5L value sets and the potentially asymptomatic presentation of the disease. The first value set was completed allowing for the discounting of future health outcomes while the second value set is undiscounted.

OBJECTIVE:

The objective of this study was to compare the distribution of QALY values using a national survey and the two published value sets; and to estimate the association between COVID-19 outcomes and QALY losses.

METHODS:

Between 9 and 11 November, 2020, 1153 US adults completed the EQ-5D-5L instrument (five items and a visual analog scale) as well as self-reported their demographics, COVID-19 symptoms, and memberships to populations that are at risk of COVID-19 infection. The two US value sets were applied to the EQ-5D-5L responses to produce QALY values. We estimated the mean QALYs by visual analog scale decile and a generalized linear model of COVID-19 outcomes.

RESULTS:

The discounted values are higher than the undiscounted values for each visual analog scale decile owing to methodological differences. Persons at increased risk, with a fever in the past day, and with one or more other symptoms have significantly greater QALY losses (p < 0.01). Overall, non-institutionalized individuals at risk of symptomatic clinical COVID-19 equal 0.68 for the 2016 value set (95% confidence interval 0.49-0.87) and 0.10 for the 2017 value set (95% confidence interval - 0.31 to 0.51) QALYs.

CONCLUSIONS:

Multiple studies have shown that decision makers discount future health outcomes, which increase QALY values. This study confronts the practical implications of these methodological advances for use in COVID-19 economic evaluations. Health economists will be able to use the QALY values in this study to better evaluate health interventions against COVID-19.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Status / Cost-Benefit Analysis / Quality-Adjusted Life Years / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adolescent / Adult / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: North America Language: English Journal: Patient Year: 2021 Document Type: Article Affiliation country: S40271-021-00509-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Status / Cost-Benefit Analysis / Quality-Adjusted Life Years / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adolescent / Adult / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: North America Language: English Journal: Patient Year: 2021 Document Type: Article Affiliation country: S40271-021-00509-z