Literature DB >> 8994149

The importance of perspective in the measurement of quality-adjusted life years.

J Richardson1, E Nord.   

Abstract

Scaling instruments for the measurement of quality-adjusted life years (QALYs) incorporate either a personal or an impersonal perspective on the benefits of a health intervention and either do or do not incorporate considerations of equity. This paper sets out three hypotheses concerning perspective and equity: 1) that more equally distributed benefits will be preferred to less equally distributed benefits; 2) that the preference value elicited for a health benefit will be greater when the respondent to a QALY questionnaire is a potential beneficiary; and 3) that, by comparison with personal preferences, individuals will be more concerned with the quantity than the quality of life in other people. These hypotheses were tested using two existing instruments and two other instruments that were created for this study. Results gave no support to the third hypothesis; some support to the first hypothesis, and strong support for the second hypothesis. It is concluded that perspective can significantly alter the values incorporated in a QALY instrument. The policy implications of the results are twofold. First, they give some support to the view that distributional consequences of health programs are of importance to the population and that they should be included in the evaluation of any health program. Second, they indicate that an evaluation should consider whether the health-state values to be obtained should incorporate an impersonal perspective reflecting the purely "social" judgment of a health planner or a perspective reflecting self-interest.

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Year:  1997        PMID: 8994149     DOI: 10.1177/0272989X9701700104

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


  9 in total

1.  A national burden of disease calculation: Dutch disability-adjusted life-years. Dutch Burden of Disease Group.

Authors:  J M Melse; M L Essink-Bot; P G Kramers; N Hoeymans
Journal:  Am J Public Health       Date:  2000-08       Impact factor: 9.308

2.  Using the effect size to model change in preference values from descriptive health status.

Authors:  Kristy Sanderson; Gavin Andrews; Justine Corry; Helen Lapsley
Journal:  Qual Life Res       Date:  2004-09       Impact factor: 4.147

Review 3.  Ethics in American health 1: ethical approaches to health policy.

Authors:  Jennifer Prah Ruger
Journal:  Am J Public Health       Date:  2008-08-13       Impact factor: 9.308

4.  Réfléchir, c'est déjà prendre une décision: Le processus décisionnel des pédiatres face à une situation de fin de vie.

Authors:  Claude Cyr; Ngoc Bich Hoang
Journal:  Paediatr Child Health       Date:  2005-04       Impact factor: 2.253

5.  Measuring women's preferences for breast cancer treatments and BRCA1/BRCA2 testing.

Authors:  M Cappelli; L Surh; L Humphreys; S Verma; D Logan; A Hunter; J Allanson
Journal:  Qual Life Res       Date:  2001       Impact factor: 4.147

Review 6.  Valuation of health states in the US study to establish disability weights: lessons from the literature.

Authors:  Jürgen Rehm; Ulrich Frick
Journal:  Int J Methods Psychiatr Res       Date:  2010-03       Impact factor: 4.035

7.  Quantifying the value of stroke disability outcomes: WHO global burden of disease project disability weights for each level of the modified Rankin Scale.

Authors:  Keun-Sik Hong; Jeffrey L Saver
Journal:  Stroke       Date:  2009-10-01       Impact factor: 7.914

8.  Trading people versus trading time: what is the difference?

Authors:  Laura J Damschroder; Todd R Roberts; Christine C Goldstein; Molly E Miklosovic; Peter A Ubel
Journal:  Popul Health Metr       Date:  2005-11-10

9.  The equivalence of numbers: the social value of avoiding health decline: an experimental Web-based study.

Authors:  David L B Schwappach
Journal:  BMC Med Inform Decis Mak       Date:  2002-03-05       Impact factor: 2.796

  9 in total

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