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Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare?

BACKGROUND: The EQ-5D is a brief, generic measure of health status that can be easily incorporated into population health surveys. There are two versions of the EQ-5D for use in adult populations, one with 3 response levels in each of the instrument’s 5 dimensions (EQ-5D-3L) and one with 5 levels in...

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Autores principales: Feng, Yan, Devlin, Nancy, Herdman, Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618130/
https://www.ncbi.nlm.nih.gov/pubmed/26489956
http://dx.doi.org/10.1186/s12955-015-0356-8
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author Feng, Yan
Devlin, Nancy
Herdman, Mike
author_facet Feng, Yan
Devlin, Nancy
Herdman, Mike
author_sort Feng, Yan
collection PubMed
description BACKGROUND: The EQ-5D is a brief, generic measure of health status that can be easily incorporated into population health surveys. There are two versions of the EQ-5D for use in adult populations, one with 3 response levels in each of the instrument’s 5 dimensions (EQ-5D-3L) and one with 5 levels in each dimension (EQ-5D-5L). We compared the two versions as measures of self-reported health status in representative samples of the English general population. METHODS: EQ-5D-5L data were available from 996 respondents selected at random from residential postcodes who took part in the EQ-5D-5L value set for England study. EQ-5D-3L data were available from 7294 participants included in the 2012 Health Survey for England. Responses on the 3L and 5L versions of EQ-5D were compared by examining score distributions on the two versions, both in terms of the profile (dimensions) and the EQ-VAS. To determine the extent of variations in score according to respondent characteristics, we analysed health status reporting on the descriptive profile, EQ-5D Index, and EQ-VAS of both versions of EQ-5D by age, sex, and educational background. We used X(2) to test for differences between respondent categories when analyzing EQ-5D profile data and the t test when analyzing EQ-5D Index and VAS scores. RESULTS: The 5L version of EQ-5D led to a considerably reduced ceiling effect and a larger proportion of respondents reporting severe health problems compared to the 3L. The 5L version also led to the use of a wider spread of health states; just 3 health states on the 3L covered 75 % of the sample, compared to 12 states on the 5L. Both versions showed poorer health status in older respondents, females, and those in a lower educational category and the EQ-5D-5L descriptive system, though not the Index or VAS, discriminated better between age groups than the 3L. There were no appreciable differences between the two versions in their ability to discriminate between groups defined by gender or educational level. CONCLUSIONS: The new, expanded 5L version of EQ-5D may be a more useful instrument for the measurement of health status in population health surveys than the original 3L version.
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spelling pubmed-46181302015-10-25 Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare? Feng, Yan Devlin, Nancy Herdman, Mike Health Qual Life Outcomes Research BACKGROUND: The EQ-5D is a brief, generic measure of health status that can be easily incorporated into population health surveys. There are two versions of the EQ-5D for use in adult populations, one with 3 response levels in each of the instrument’s 5 dimensions (EQ-5D-3L) and one with 5 levels in each dimension (EQ-5D-5L). We compared the two versions as measures of self-reported health status in representative samples of the English general population. METHODS: EQ-5D-5L data were available from 996 respondents selected at random from residential postcodes who took part in the EQ-5D-5L value set for England study. EQ-5D-3L data were available from 7294 participants included in the 2012 Health Survey for England. Responses on the 3L and 5L versions of EQ-5D were compared by examining score distributions on the two versions, both in terms of the profile (dimensions) and the EQ-VAS. To determine the extent of variations in score according to respondent characteristics, we analysed health status reporting on the descriptive profile, EQ-5D Index, and EQ-VAS of both versions of EQ-5D by age, sex, and educational background. We used X(2) to test for differences between respondent categories when analyzing EQ-5D profile data and the t test when analyzing EQ-5D Index and VAS scores. RESULTS: The 5L version of EQ-5D led to a considerably reduced ceiling effect and a larger proportion of respondents reporting severe health problems compared to the 3L. The 5L version also led to the use of a wider spread of health states; just 3 health states on the 3L covered 75 % of the sample, compared to 12 states on the 5L. Both versions showed poorer health status in older respondents, females, and those in a lower educational category and the EQ-5D-5L descriptive system, though not the Index or VAS, discriminated better between age groups than the 3L. There were no appreciable differences between the two versions in their ability to discriminate between groups defined by gender or educational level. CONCLUSIONS: The new, expanded 5L version of EQ-5D may be a more useful instrument for the measurement of health status in population health surveys than the original 3L version. BioMed Central 2015-10-21 /pmc/articles/PMC4618130/ /pubmed/26489956 http://dx.doi.org/10.1186/s12955-015-0356-8 Text en © Feng et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Feng, Yan
Devlin, Nancy
Herdman, Mike
Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare?
title Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare?
title_full Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare?
title_fullStr Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare?
title_full_unstemmed Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare?
title_short Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare?
title_sort assessing the health of the general population in england: how do the three- and five-level versions of eq-5d compare?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618130/
https://www.ncbi.nlm.nih.gov/pubmed/26489956
http://dx.doi.org/10.1186/s12955-015-0356-8
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