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The Transformation of Utilities for Health States Worse Than Death

Consequences for the Estimation of EQ-5D Value Sets

Bibliographic Data

ID9102443
AuthorsLeida M Lamers (Erasmus MC, corresponding author)
Year2007
Volume45
Issue3
Pages238-244
Publication date2007-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000252166.76255.68
PMID17304081
OpenAlexW2015543427
LanguageEN
Citations received13
References cited13

BACKGROUND: Utilities for health are measured on an interval scale, where 1 refers to full health and 0 refers to death. No theoretical lower boundary on the utilities for states worse than death exists. As a consequence, negative values receive greater weight in the calculation of mean utilities. To avoid this, negative values often are bound at -1. OBJECTIVE: The objective of this study was to compare the effect of 3 methods to bound negative values at -1 on the estimation of EQ-5D value sets: truncation, monotonic, and linear transformation. METHOD: Data of the Dutch EQ-5D valuation study were used. A total of 298 respondents directly valued 17 EQ-5D health states using the time trade-off (TTO) method. Random effects regression analysis was used to interpolate TTO values for all possible EQ-5D states. In the regression analysis the dependent variable is 1 minus the TTO value and the independent variables describe the health state. Two widely used models to estimate EQ-5D value were applied after truncation of negative values and monotonic and linear transformation of negative values. Both models also were estimated on medians. RESULTS: Truncation of negative values gave the largest mean absolute error (MAE); the linear transformation resulted in the smallest MAE. When medians were used for estimation, the MAEs were comparable with the estimation on means. CONCLUSION: The choice of a method to bound negative values is arbitrary and affects the resulting value set. For the estimation of EQ-5D value sets from a societal perspective the use of medians should be considered

Econometrics · EQ-5D · Linear regression · Monotonic function · Regression analysis · Statistics · Transformation (genetics) · Truncation (statistics) · Value (mathematics) · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Mathematics · Medicine

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Unique citing works13
Citations per year0,72
Citation span2008 - 2024 (17)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 12

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