2018
DOI: 10.1007/s40273-018-0623-8
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Is EQ-5D-5L Better Than EQ-5D-3L? A Head-to-Head Comparison of Descriptive Systems and Value Sets from Seven Countries

Abstract: ObjectiveThis study describes the first empirical head-to-head comparison of EQ-5D-3L (3L) and EQ-5D-5L (5L) value sets for multiple countries.MethodsA large multinational dataset, including 3L and 5L data for eight patient groups and a student cohort, was used to compare 3L versus 5L value sets for Canada, China, England/UK (5L/3L, respectively), Japan, The Netherlands, South Korea and Spain. We used distributional analyses and two methods exploring discriminatory power: relative efficiency as assessed by the… Show more

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Cited by 259 publications
(219 citation statements)
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References 57 publications
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“…We suggest that the Devlin et al distribution is a function of both a response shift and a change in the valuation system, and therefore is similar to the findings reported by Hernandez Alava et al [26] when exploring the impact of switching from the EQ-5D-3L to the EQ-5D-5L Devlin et al tariff on cost-effectiveness results. Overall, the distributional findings in this study validate those previously reported by Mulhern et al [25] on a smaller sample for England and those reported by Janssen et al [22] for EQ-5D-3L and EQ-5D-5L values across seven countries. Given the recent NICE position statement recommending the use of the van Hout et al mapping algorithm for studies that have collected 5L data, we suggest the implications of our results for cost-effectiveness analysis conducted in the near future could be similar (but smaller in magnitude) to those outlined by Hernandez Alava et al [26].…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…We suggest that the Devlin et al distribution is a function of both a response shift and a change in the valuation system, and therefore is similar to the findings reported by Hernandez Alava et al [26] when exploring the impact of switching from the EQ-5D-3L to the EQ-5D-5L Devlin et al tariff on cost-effectiveness results. Overall, the distributional findings in this study validate those previously reported by Mulhern et al [25] on a smaller sample for England and those reported by Janssen et al [22] for EQ-5D-3L and EQ-5D-5L values across seven countries. Given the recent NICE position statement recommending the use of the van Hout et al mapping algorithm for studies that have collected 5L data, we suggest the implications of our results for cost-effectiveness analysis conducted in the near future could be similar (but smaller in magnitude) to those outlined by Hernandez Alava et al [26].…”
Section: Discussionsupporting
confidence: 91%
“…A similar phenomenon for the EQ-5D-3L, although not noted in the current literature, is the tendency for respondents to report 'some problems' in any or all health domains, despite also reporting having no ongoing health conditions. This mismatch could be a consequence of the number of levels within the EQ-5D-3L forcing, for those close to full health with minor ailments, a choice between some problems or no problems [22]. In our sample of EQ-5D-5L respondents reporting no conditions, we observed a sizeable fall in those selecting 'some problems' versus the EQ-5D-3L, with a large proportion instead selecting 'slight problems'.…”
Section: Discussionmentioning
confidence: 67%
“…Although two recent studies in Greece demonstrated marginal to moderate better discriminatory power of 5 L compared to 3 L [3,4]. Other studies found that 3 L performed better especially in discriminating between healthy and unhealthy populations [5][6][7][8][9]. One possible reason for the mixed results could be that the relative performance of 3 L and 5 L is population specific.…”
Section: Introductionmentioning
confidence: 96%
“…2 The EQ-5D-5L has shown improved measurement properties, including greater discrimination among known groups and reduced ceiling effects compared with the EQ-5D-3L. [3][4][5] In the United States, there is renewed interest in value frameworks that focus on the trade-offs between potential benefits and harms of treatment. [6][7][8][9] Despite legislation against it as a consideration in federal payer reimbursement decisions, 10 cost per quality-adjusted life-year (QALY) continues to be an important metric for evaluating the value of healthcare interventions in the United States, 8,11,12 and the EQ-5D features prominently as a preference-based measure of health for such evaluations.…”
Section: Introductionmentioning
confidence: 99%