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Published in: Applied Health Economics and Health Policy 1/2017

01-02-2017 | Review Article

Health State Utility Values for Age-Related Macular Degeneration: Review and Advice

Authors: Thomas Butt, Adnan Tufail, Gary Rubin

Published in: Applied Health Economics and Health Policy | Issue 1/2017

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Abstract

Health state utility values are a major source of uncertainty in economic evaluations of interventions for age-related macular degeneration (AMD). This review identifies and critiques published utility values and methods for eliciting de novo utility values in AMD. We describe how utility values have been used in healthcare decision making and provide guidance on the choice of utility values for future economic evaluations for AMD. Literature was searched using PubMed, and health technology assessments (HTA) were searched using HTA agency websites to identify articles reporting utility values or approaches to derive utility values in AMD and articles applying utilities for use in healthcare decision making relating to treatments for AMD. A total of 70 studies qualified for data extraction, 22 of which were classified as containing utility values and/or elicitation methods, and 48 were classified as using utility values in decision making. A large number of studies have elicited utility values for AMD, although those applied to decision making have focused on a few of these. There is an appreciation of the challenges in the measurement and valuation of health states, with recent studies addressing challenges such as the insensitivity of generic health-related quality of life (HRQoL) questionnaires and utility in the worse-seeing eye. We would encourage careful consideration when choosing utility values in decision making and an explicit critique of their applicability to the decision problem.
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Metadata
Title
Health State Utility Values for Age-Related Macular Degeneration: Review and Advice
Authors
Thomas Butt
Adnan Tufail
Gary Rubin
Publication date
01-02-2017
Publisher
Springer International Publishing
Published in
Applied Health Economics and Health Policy / Issue 1/2017
Print ISSN: 1175-5652
Electronic ISSN: 1179-1896
DOI
https://doi.org/10.1007/s40258-016-0275-9

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