2014
DOI: 10.1586/14737167.2014.894462
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The minimum clinically important difference for EQ-5D index: a critical review

Abstract: The European Quality of Life-5 Dimensions Questionnaire (EQ-5D) is the most common instrument to value health outcomes under the patient's perspective. Several studies have investigated whether observed changes are meaningful to patients, using a variety of approaches to estimate the minimum clinically important difference (MCID). This study provides an overview of the state of art of the estimation of the MCID for the three-level EQ-5D index based on the UK scoring algorithm, critically assessing the availabl… Show more

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Cited by 265 publications
(227 citation statements)
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“…While HRQoL endpoints are increasingly being used in clinical trials, results are not always reported in terms of clinical relevance [56, 93, 94]. A change in score equivalent to 0.5 SD has been found to have almost universal relevance as an MCID for HRQoL [94, 95].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…While HRQoL endpoints are increasingly being used in clinical trials, results are not always reported in terms of clinical relevance [56, 93, 94]. A change in score equivalent to 0.5 SD has been found to have almost universal relevance as an MCID for HRQoL [94, 95].…”
Section: Discussionmentioning
confidence: 99%
“…Finally, although statistically significant changes in HRQoL have been reported in numerous DMD studies in MS, the actual mean change from baseline may be numerically small. The minimum clinically important difference (MCID) is the minimum difference that the patient is able to recognize and appreciate [56], and this measure reflects a threshold for an increase to be qualified as improvement. Reported data on HRQoL improvement during treatments are summarized at the end of each DMD section.…”
Section: Introductionmentioning
confidence: 99%
“…2010, Roos 2012, Coretti et al. 2014). The effect size (Cohens’ d) also supports this notion, as the effect size for all outcomes was small to negligible.…”
Section: Discussionmentioning
confidence: 99%
“…Data will be analyzed using descriptive statistics, chi-square tests, and univariable and multivariable logistic regressions. The following variables will be available for adjustment in the multivariable regression models: age, gender, marital status, education, income, employment status, duration of the GP-patient relationship, frequency of GP visits, patients’ assessment regarding doctor visits due to the use of eHealth, if eHealth information has been discussed with the doctor, self-rated health, chronic diseases, and the Euro Quality of Life Group five dimensions scoring scale [33]. Analyses will be performed using the newest version of Stata.…”
Section: Methodsmentioning
confidence: 99%