Literature DB >> 16061898

The QALY model and individual preferences for health states and health profiles over time: a systematic review of the literature.

Aki Tsuchiya1, Paul Dolan.   

Abstract

The numbers of quality-adjusted life years (QALYs) gained are increasingly being used to represent the gains in individual utility from treatment. This requires that the value of a health improvement to an individual is a simple product of gains in quality of life and length of life. The article reports on a systematic review of the literature on 2 issues: whether the value of a state is affected by how long the state lasts, and by states that come before or after it. It was found that individual preferences over health are influenced by the duration of health states and their sequence. However, although there is much variation across individual respondents, the assumptions tend to hold much better when valuations are aggregated across respondents, which is encouraging for economic evaluations that rely on using average (mean or median) values.

Mesh:

Year:  2005        PMID: 16061898     DOI: 10.1177/0272989X05276854

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  19 in total

1.  QALYs: are they helpful to decision makers?

Authors:  Maurice McGregor; J Jaime Caro
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

2.  Holistic preferences for 1-year health profiles describing fluctuations in health: the case of chronic obstructive pulmonary disease.

Authors:  Maureen P M H Rutten-van Mölken; Martine Hoogendoorn; Leida M Lamers
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

3.  A preference-based measure of health: the VR-6D derived from the veterans RAND 12-Item Health Survey.

Authors:  Alfredo J Selim; William Rogers; Shirley X Qian; John Brazier; Lewis E Kazis
Journal:  Qual Life Res       Date:  2011-02-19       Impact factor: 4.147

Review 4.  Risk as an attribute in discrete choice experiments: a systematic review of the literature.

Authors:  Mark Harrison; Dan Rigby; Caroline Vass; Terry Flynn; Jordan Louviere; Katherine Payne
Journal:  Patient       Date:  2014       Impact factor: 3.883

5.  The better than dead method: feasibility and interpretation of a valuation study.

Authors:  R A van Hoorn; A R T Donders; M Oppe; P F M Stalmeier
Journal:  Pharmacoeconomics       Date:  2014-08       Impact factor: 4.981

6.  Incorporating Quantitative Patient Preference Data into Healthcare Decision Making Processes: Is HTA Falling Behind?

Authors:  David John Mott
Journal:  Patient       Date:  2018-06       Impact factor: 3.883

7.  On the (not so) constant proportional trade-off in TTO.

Authors:  Arthur E Attema; Werner B F Brouwer
Journal:  Qual Life Res       Date:  2010-02-12       Impact factor: 4.147

8.  Constantly proving the opposite? A test of CPTO using a broad time horizon and correcting for discounting.

Authors:  Arthur E Attema; Werner B F Brouwer
Journal:  Qual Life Res       Date:  2011-04-21       Impact factor: 4.147

9.  Alternative approaches to derive disability weights in injuries: do they make a difference?

Authors:  Juanita A Haagsma; S Polinder; E F van Beeck; S Mulder; G J Bonsel
Journal:  Qual Life Res       Date:  2009-05-07       Impact factor: 4.147

10.  The Impact of Different DCE-Based Approaches When Anchoring Utility Scores.

Authors:  Richard Norman; Brendan Mulhern; Rosalie Viney
Journal:  Pharmacoeconomics       Date:  2016-08       Impact factor: 4.981

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