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      Time trade-off: one methodology, different methods

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          Abstract

          There is no scientific consensus on the optimal specification of the time trade-off (TTO) task. As a consequence, studies using TTO to value health states may share the core element of trading length of life for quality of life, but can differ considerably on many other elements. While this pluriformity in specifications advances the understanding of TTO from a methodological point of view, it also results in incomparable health state values. Health state values are applied in health technology assessments, and in that context comparability of information is desired. In this article, we discuss several alternative specifications of TTO presented in the literature. The defining elements of these specifications are identified as being either methodological, procedural or analytical in nature. Where possible, it is indicated how these elements affect health state values (i.e., upward or downward). Finally, a checklist for TTO studies is presented, which incorporates a list of choices to be made by researchers who wish to perform a TTO task. Such a checklist enables other researchers to align methodologies in order to enhance the comparability of health state values.

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          Most cited references70

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          Using a discrete choice experiment to estimate health state utility values.

          In this study we explored a novel application of the discrete choice experiment (DCE) that resembles the time trade off (TTO) task to estimate values on the health utility scale for the EQ-5D. The DCE was tested in a survey alongside the TTO in a sample of English-speaking Canadians recruited by a market research company. The study found that the DCE is able to derive logical and consistent values for health states valued on the full health - dead scale. The DCE overcame some issues identified in the version of TTO currently used to value EQ-5D, notably allowing for fewer data exclusions and incorporating values considered worse than dead without introducing a separate valuation procedure. This has important implications for providing robust values that represent the preferences of all respondents. Copyright © 2011 Elsevier B.V. All rights reserved.
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            Utility assessment among patients with dry eye disease.

            To determine utilities (patient preferences) for dry eye disease. Survey study. Fifty-six patients with mild, moderate, or severe dry eye treated by ophthalmologists in the Eye Care Services department of Henry Ford Health Care System. Patients completed interactive software utility assessment questionnaires by the time trade-off (TTO) method. Utility scores were scaled such that a score of 1.0 = perfect health and 0 = death. Dry eye severity was independently classified using clinical parameters and physician/patient assessments. Global health status, visual functioning, and ocular symptoms were assessed by the Short Form-36 Health Survey, 25-Item National Eye Institute Visual Function Questionnaire (NEI VFQ-25), and Ocular Surface Disease Index survey instruments. Utility scores for a range of dry eye severity states. These utilities were compared with utilities reported for other disease states. Correlations with the general and vision-related health status measures were conducted. Fifty-six patients completed the utility assessments with acceptable reliability. Mean utilities for moderate (0.78) and severe dry eye (0.72) by TTO were similar to historical reports for moderate (0.75) and more severe (class III/IV) angina (0.71), respectively. Utility scores correlated with the NEI VFQ-25 composite score (rho = 0.32; P = 0.037) and with components of other health measures. Utilities for the more severe forms of dry eye are in the range of conditions like class III/IV angina (0.71) that are widely recognized as lowering health utilities. Our results underscore how significantly dry eye impacts patients compared with other medical conditions.
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              Time trade-off derived EQ-5D weights for Australia.

              Cost-utility analyses (CUAs) are increasingly common in Australia. The EuroQol five-dimensional (EQ-5D) questionnaire is one of the most widely used generic preference-based instruments for measuring health-related quality of life for the estimation of quality-adjusted life years within a CUA. There is evidence that valuations of health states vary across countries, but Australian weights have not previously been developed. Conventionally, weights are derived by applying the time trade-off elicitation method to a subset of the EQ-5D health states. Using a larger set of directly valued health states than in previous studies, time trade-off valuations were collected from a representative sample of the Australian general population (n = 417). A range of models were estimated and compared as a basis for generating an Australian algorithm. The Australia-specific EQ-5D values generated were similar to those previously produced for a range of other countries, but the number of directly valued states allowed inclusion of more interaction effects, which increased the divergence between Australia's algorithm and other algorithms in the literature. This new algorithm will enable the Australian community values to be reflected in future economic evaluations. Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                +31-10-4089129 , +31-10-4089081 , attema@bmg.eur.nl
                Journal
                Eur J Health Econ
                Eur J Health Econ
                The European Journal of Health Economics
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1618-7598
                1618-7601
                31 July 2013
                31 July 2013
                2013
                : 14
                : 53-64
                Affiliations
                [ ]iBMG/iMTA, Erasmus University, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands
                [ ]Department of Medical Decision Making, Leiden University Medical Centre, Leiden, The Netherlands
                Article
                508
                10.1007/s10198-013-0508-x
                3728453
                23900665
                aeabdb95-6f54-4c04-b06b-311ddf78f013
                © The Author(s) 2013

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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                Original Paper
                Custom metadata
                © Springer-Verlag Berlin Heidelberg 2013

                Economics of health & social care
                time trade-off,design,methodology,health state valuation,b40,i10
                Economics of health & social care
                time trade-off, design, methodology, health state valuation, b40, i10

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