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Gepubliceerd in: Quality of Life Research 11/2019

18-07-2019 | Brief Communication

A comparison of self-rated health using EQ-5D VAS in the United States in 2002 and 2017

Auteurs: Ashley S. Cha, Ernest H. Law, James W. Shaw, A. Simon Pickard

Gepubliceerd in: Quality of Life Research | Uitgave 11/2019

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Abstract

Purpose

To compare self-rated health among the United States general population in 2002 and 2017.

Methods

Secondary data were analyzed from two EQ-5D valuation studies conducted in 2002 and 2017. Both studies included the EQ-5D-3L self-classifier and visual analog scale (VAS), where health is rated from 0 (worst imaginable health) to 100 (best imaginable health). VAS scores were compared between time points using regression models, adjusting for sociodemographic factors (Model 1), plus illness (Model 2), and health problems according to the EQ-5D classifier (Model 3).

Results

Mean VAS scores in 2002 [84.4 (SD = 16.1)] were not different from 2017 [84.6 (SD = 14.5)] (p = 0.63), nor different after adjusting for demographics (Model 1) or illness (Model 2). However, 2017 VAS mean scores were significantly higher than 2002 [2.2 (95% CI 1.36–3.10)] upon adjusting for the presence of dimension-specific health problems.

Conclusions

Self-rated health of the general US adult population in 2017 was similar to 2002, but after adjusting for health problems, scores were slightly higher in 2017. Sociodemographic shifts in age and education explain some of the differences in scores, and by removing health and sociodemographic factors, we found the VAS reveals self-rated health is slightly better in 2017 than 2002.
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Metagegevens
Titel
A comparison of self-rated health using EQ-5D VAS in the United States in 2002 and 2017
Auteurs
Ashley S. Cha
Ernest H. Law
James W. Shaw
A. Simon Pickard
Publicatiedatum
18-07-2019
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 11/2019
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-019-02249-y

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