Literature DB >> 17574293

What difference does it make? The calculation of QALY gains from health profiles using patient and general population values.

Paul McNamee1.   

Abstract

OBJECTIVES: To compare the Quality-Adjusted Life Year (QALY) values produced from a direct health profile QALY calculation method, using patient values, with those derived from a conventional QALY calculation method, using general population values.
METHODS: Comparison of QALY values generated from patient valuations of health profiles, using a chained version of the Time Trade-Off method, with QALY values derived from a conventional QALY calculation method, using general population values of EQ-5D states, an observational survey of MS patients, and a randomized controlled trial.
RESULTS: Using patient valuations of health profiles, QALY values of treatment and placebo were 2.610 and 2.568, respectively, generating a gain of 0.042. The conventional QALY method gave values of 2.042 versus 1.998, producing a gain of 0.044. These findings were generally robust under sensitivity analyses.
CONCLUSIONS: QALY values were dependent on the calculation method used, but QALY gains were similar between methods. QALY values from the conventional QALY calculation method appeared robust to most changes in the assumptions used to derive values. The direct health profile QALY method was however more able to account for heterogeneity in preferences.

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Year:  2007        PMID: 17574293     DOI: 10.1016/j.healthpol.2007.05.004

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  10 in total

1.  Validity of standard gamble utilities in patients referred for aortic valve replacement.

Authors:  Amjad I Hussain; Andrew M Garratt; Jan Otto Beitnes; Lars Gullestad; Kjell I Pettersen
Journal:  Qual Life Res       Date:  2015-11-24       Impact factor: 4.147

Review 2.  Experience-Based Values: A Framework for Classifying Different Types of Experience in Health Valuation Research.

Authors:  Patricia Cubi-Molla; Koonal Shah; Kristina Burström
Journal:  Patient       Date:  2018-06       Impact factor: 3.883

Review 3.  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

4.  Cost effectiveness and health-related quality of life of chemoradiotherapy versus radiation therapy alone in elderly head and neck cancer patients.

Authors:  Tanja Sprave; Vivek Verma; Alexander Fabian; Alexander Rühle; Dimos Baltas; Anca-Ligia Grosu; Nils H Nicolay
Journal:  Strahlenther Onkol       Date:  2022-07-14       Impact factor: 4.033

5.  Decomposing cross-country differences in quality adjusted life expectancy: the impact of value sets.

Authors:  Richard Heijink; Pieter van Baal; Mark Oppe; Xander Koolman; Gert Westert
Journal:  Popul Health Metr       Date:  2011-06-23

6.  Disability weights based on patient-reported data from a multinational injury cohort.

Authors:  Belinda J Gabbe; Ronan A Lyons; Pamela M Simpson; Frederick P Rivara; Shanthi Ameratunga; Suzanne Polinder; Sarah Derrett; James E Harrison
Journal:  Bull World Health Organ       Date:  2016-08-31       Impact factor: 9.408

7.  Whom should we ask? A systematic literature review of the arguments regarding the most accurate source of information for valuation of health states.

Authors:  Olivia Ernstsson; Mimmi Åström; Gert Helgesson; Kristina Burström
Journal:  Qual Life Res       Date:  2020-02-03       Impact factor: 4.147

8.  Using Time Trade-Off Methods to Elicit Short-Term Utilities Associated with Treatments for Bulbar Urethral Stricture.

Authors:  Jing Shen; Matthew Breckons; Luke Vale; Robert Pickard
Journal:  Pharmacoecon Open       Date:  2019-12

9.  Cost-effectiveness of multiple sclerosis disease-modifying therapies: a systematic review of the literature.

Authors:  David Yamamoto; Jonathan D Campbell
Journal:  Autoimmune Dis       Date:  2012-12-06

10.  Swedish experience-based value sets for EQ-5D health states.

Authors:  Kristina Burström; Sun Sun; Ulf-G Gerdtham; Martin Henriksson; Magnus Johannesson; Lars-Åke Levin; Niklas Zethraeus
Journal:  Qual Life Res       Date:  2013-08-22       Impact factor: 4.147

  10 in total

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