Literature DB >> 20511562

Theoretical foundation of patient v. population preferences in calculating QALYs.

Afschin Gandjour1.   

Abstract

The cost-effectiveness of health care interventions is often evaluated using quality-adjusted life years (QALYs) as a measure of outcome. There is a debate on whether QALYs should use patient preferences as opposed to community preferences. This article shows that patient preferences have a theoretical foundation in preference-utilitarian theory and welfare economics. In contrast, this study found no compelling theoretical basis for community preferences. There is a need for further development of a normative framework to inform the choice of preference source.

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Year:  2010        PMID: 20511562     DOI: 10.1177/0272989X10370488

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


  17 in total

1.  Empirical validation of patient versus population preferences in calculating QALYs.

Authors:  Eva-Julia Weyler; Afschin Gandjour
Journal:  Health Serv Res       Date:  2011-04-21       Impact factor: 3.402

2.  Comment on: "Can the EVIDEM Framework Tackle Issues Raised by Evaluating Treatments for Rare Diseases: Analysis of Issues and Policies, and Context-Specific Adaptation".

Authors:  Afschin Gandjour
Journal:  Pharmacoeconomics       Date:  2017-05       Impact factor: 4.981

3.  Patient preferences: a Trojan horse for evidence-based medicine?

Authors:  Afschin Gandjour
Journal:  Eur J Health Econ       Date:  2018-01

4.  Comparison of health state values derived from patients and individuals from the general population.

Authors:  Mihir Gandhi; Ru San Tan; Raymond Ng; Su Pin Choo; Whay Kuang Chia; Chee Keong Toh; Carolyn Lam; Phong Teck Lee; Nang Khaing Zar Latt; Kim Rand-Hendriksen; Yin Bun Cheung; Nan Luo
Journal:  Qual Life Res       Date:  2017-08-14       Impact factor: 4.147

5.  Differences in EQ-5D-3L health state valuations among patients with musculoskeletal diseases, health care professionals and healthy volunteers.

Authors:  Anja Schwalm; You-Shan Feng; Jörn Moock; Thomas Kohlmann
Journal:  Eur J Health Econ       Date:  2014-10-05

6.  Does diabetes have an impact on health-state utility? a study of Asians in Singapore.

Authors:  P Wang; E S Tai; J Thumboo; Hubertus J M Vrijhoef; Nan Luo
Journal:  Patient       Date:  2014       Impact factor: 3.883

7.  Valuing EQ-5D-Y-3L Health States Using a Discrete Choice Experiment: Do Adult and Adolescent Preferences Differ?

Authors:  David J Mott; Koonal K Shah; Juan Manuel Ramos-Goñi; Nancy J Devlin; Oliver Rivero-Arias
Journal:  Med Decis Making       Date:  2021-03-18       Impact factor: 2.583

8.  Integrating evidence on patient preferences in healthcare policy decisions: protocol of the patient-VIP study.

Authors:  Carmen D Dirksen; Cecile Ma Utens; Manuela A Joore; Teus A van Barneveld; Bert Boer; Dunja Hh Dreesens; Hans van Laarhoven; Cees Smit; Anne M Stiggelbout; Trudy van der Weijden
Journal:  Implement Sci       Date:  2013-06-10       Impact factor: 7.327

9.  A generalized measurement model to quantify health: the multi-attribute preference response model.

Authors:  Paul F M Krabbe
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

10.  Does the correspondence between EQ-5D health state description and VAS score vary by medical condition?

Authors:  David K Whynes
Journal:  Health Qual Life Outcomes       Date:  2013-09-13       Impact factor: 3.186

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