Literature DB >> 33284428

Psychometric properties of the EQ-5D-5L: a systematic review of the literature.

You-Shan Feng1,2, Thomas Kohlmann3, Mathieu F Janssen4, Ines Buchholz3.   

Abstract

PURPOSE: Although the EQ-5D has a long history of use in a wide range of populations, the newer five-level version (EQ-5D-5L) has not yet had such extensive experience. This systematic review summarizes the available published scientific evidence on the psychometric properties of the EQ-5D-5L.
METHODS: Pre-determined key words and exclusion criteria were used to systematically search publications from 2011 to 2019. Information on study characteristics and psychometric properties were extracted: specifically, EQ-5D-5L distribution (including ceiling and floor), missing values, reliability (test-retest), validity (convergent, known-groups, discriminate) and responsiveness (distribution, anchor-based). EQ-5D-5L index value means, ceiling and correlation coefficients (convergent validity) were pooled across the studies using random-effects models.
RESULTS: Of the 889 identified publications, 99 were included for review, representing 32 countries. Musculoskeletal/orthopedic problems and cancer (n = 8 each) were most often studied. Most papers found missing values (17 of 17 papers) and floor effects (43 of 48 papers) to be unproblematic. While the index was found to be reliable (9 of 9 papers), individual dimensions exhibited instability over time. Index values and dimensions demonstrated moderate to strong correlations with global health measures, other multi-attribute utility instruments, physical/functional health, pain, activities of daily living, and clinical/biological measures. The instrument was not correlated with life satisfaction and cognition/communication measures. Responsiveness was addressed by 15 studies, finding moderate effect sizes when confined to studied subgroups with improvements in health.
CONCLUSIONS: The EQ-5D-5L exhibits excellent psychometric properties across a broad range of populations, conditions and settings. Rigorous exploration of its responsiveness is needed.

Entities:  

Keywords:  EQ-5D; EQ-5D-5L; Health-Related Quality of Life; Psychometric properties; Systematic review

Mesh:

Year:  2020        PMID: 33284428      PMCID: PMC7952346          DOI: 10.1007/s11136-020-02688-y

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  137 in total

1.  Discriminative capacity of the EQ-5D, SF-6D, and SF-12 as measures of health status in population health survey.

Authors:  Oriol Cunillera; Ricard Tresserras; Luis Rajmil; Gemma Vilagut; Pilar Brugulat; Mike Herdman; Anna Mompart; Antonia Medina; Yolanda Pardo; Jordi Alonso; John Brazier; Montse Ferrer
Journal:  Qual Life Res       Date:  2010-03-31       Impact factor: 4.147

2.  Comparing the EQ-5D and the SF-6D descriptive systems to assess their ceiling effects in the US general population.

Authors:  Murtuza Bharmal; Joseph Thomas
Journal:  Value Health       Date:  2006 Jul-Aug       Impact factor: 5.725

3.  Relative efficiency of the EQ-5D, HUI2, and HUI3 index scores in measuring health burden of chronic medical conditions in a population health survey in the United States.

Authors:  Nan Luo; Jeffrey A Johnson; James W Shaw; Stephen Joel Coons
Journal:  Med Care       Date:  2009-01       Impact factor: 2.983

Review 4.  Overview, Update, and Lessons Learned From the International EQ-5D-5L Valuation Work: Version 2 of the EQ-5D-5L Valuation Protocol.

Authors:  Elly Stolk; Kristina Ludwig; Kim Rand; Ben van Hout; Juan Manuel Ramos-Goñi
Journal:  Value Health       Date:  2019-01-02       Impact factor: 5.725

5.  Comparing the sensitivity of EQ-5D, SF-6D and 15D utilities to the specific effect of diabetic complications.

Authors:  Nick Kontodimopoulos; Evelina Pappa; Zinovia Chadjiapostolou; Eleni Arvanitaki; Angelos A Papadopoulos; Dimitris Niakas
Journal:  Eur J Health Econ       Date:  2010-12-05

6.  Standard error of measurement of 5 health utility indexes across the range of health for use in estimating reliability and responsiveness.

Authors:  Mari Palta; Han-Yang Chen; Robert M Kaplan; David Feeny; Dasha Cherepanov; Dennis G Fryback
Journal:  Med Decis Making       Date:  2010-10-08       Impact factor: 2.583

7.  Comparing the performance of the SF-6D and the EQ-5D in different patient groups.

Authors:  Lara N Ferreira; Pedro L Ferreira; Luis N Pereira
Journal:  Acta Med Port       Date:  2014-04-30

8.  Measuring population health: a comparison of three generic health status measures.

Authors:  Susan Macran; Helen Weatherly; Paul Kind
Journal:  Med Care       Date:  2003-02       Impact factor: 2.983

Review 9.  Responsiveness of the EQ-5D to clinical change: is the patient experience adequately represented?

Authors:  David Tordrup; Jean Mossman; Panos Kanavos
Journal:  Int J Technol Assess Health Care       Date:  2014-01       Impact factor: 2.188

10.  A comparison of the EQ-5D and SF-6D across seven patient groups.

Authors:  John Brazier; Jennifer Roberts; Aki Tsuchiya; Jan Busschbach
Journal:  Health Econ       Date:  2004-09       Impact factor: 3.046

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Review 2.  Measurement properties of the EQ-5D in populations with a mean age of ≥ 75 years: a systematic review.

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8.  Reliability and validity of using EQ-5D-5L among healthy and adolescents with major mental health disorders in Ethiopia.

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Journal:  J Clin Med       Date:  2021-04-27       Impact factor: 4.241

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