COVID-19 and EQ-5D-5L health state valuation.

COVID-19 EQ-5D-5L Health shock Valuation Visual analogue scale

Journal

The European journal of health economics : HEPAC : health economics in prevention and care
ISSN: 1618-7601
Titre abrégé: Eur J Health Econ
Pays: Germany
ID NLM: 101134867

Informations de publication

Date de publication:
23 Feb 2023
Historique:
received: 08 07 2022
accepted: 23 01 2023
entrez: 22 2 2023
pubmed: 23 2 2023
medline: 23 2 2023
Statut: aheadofprint

Résumé

We investigate whether and how general population health state values were influenced by the initial stages of the COVID-19 pandemic. Changes could have important implications, as general population values are used in health resource allocation. In Spring 2020, participants in a UK general population survey rated 2 EQ-5D-5L states, 11111 and 55555, as well as dead, using a visual analogue scale (VAS) from 100 = best imaginable health to 0 = worst imaginable health. Participants answered questions about their pandemic experiences, including COVID-19's effect on their health and quality of life, and their subjective risk/worry about infection. VAS ratings for 55555 were transformed to the full health = 1, dead = 0 scale. Tobit models were used to analyse VAS responses, as well as multinomial propensity score matching (MNPS) to create samples balanced according to participant characteristics. Of 3021 respondents, 2599 were used for analysis. There were statistically significant, but complex associations between experiences of COVID-19 and VAS ratings. For example, in the MNPS analysis, greater subjective risk of infection implied higher VAS ratings for dead, yet worry about infection implied lower ratings. In the Tobit analysis, people whose health was affected by COVID-19 rated 55555 higher, whether the effect on health was positive or negative. The results complement previous findings that the onset of the COVID-19 pandemic may have impacted EQ-5D-5L health state valuation, and different aspects of the pandemic had different effects.

Sections du résumé

BACKGROUND BACKGROUND
We investigate whether and how general population health state values were influenced by the initial stages of the COVID-19 pandemic. Changes could have important implications, as general population values are used in health resource allocation.
DATA METHODS
In Spring 2020, participants in a UK general population survey rated 2 EQ-5D-5L states, 11111 and 55555, as well as dead, using a visual analogue scale (VAS) from 100 = best imaginable health to 0 = worst imaginable health. Participants answered questions about their pandemic experiences, including COVID-19's effect on their health and quality of life, and their subjective risk/worry about infection.
ANALYSIS METHODS
VAS ratings for 55555 were transformed to the full health = 1, dead = 0 scale. Tobit models were used to analyse VAS responses, as well as multinomial propensity score matching (MNPS) to create samples balanced according to participant characteristics.
RESULTS RESULTS
Of 3021 respondents, 2599 were used for analysis. There were statistically significant, but complex associations between experiences of COVID-19 and VAS ratings. For example, in the MNPS analysis, greater subjective risk of infection implied higher VAS ratings for dead, yet worry about infection implied lower ratings. In the Tobit analysis, people whose health was affected by COVID-19 rated 55555 higher, whether the effect on health was positive or negative.
CONCLUSION CONCLUSIONS
The results complement previous findings that the onset of the COVID-19 pandemic may have impacted EQ-5D-5L health state valuation, and different aspects of the pandemic had different effects.

Identifiants

pubmed: 36814039
doi: 10.1007/s10198-023-01569-8
pii: 10.1007/s10198-023-01569-8
pmc: PMC9946870
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : EuroQol Research Foundation
ID : 289-RA

Informations de copyright

© 2023. The Author(s).

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Auteurs

Edward J D Webb (EJD)

Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK. e.j.d.webb@leeds.ac.uk.

Paul Kind (P)

Institute of Epidemiology and Health, University College London, UK and Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.

David Meads (D)

Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.

Adam Martin (A)

Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.

Classifications MeSH