Literature DB >> 16765267

A meta-analysis demonstrates no significant differences between patient and population preferences.

Maria G T Dolders1, Maurice P A Zeegers, Wim Groot, André Ament.   

Abstract

BACKGROUND AND OBJECTIVES: To summarize and quantify mean differences between directly elicited patient and population health state evaluations (= preferences) and to identify factors explaining these differences.
MATERIALS AND METHODS: Two meta-analyses of observational studies comparing directly elicited patient and population preferences for two stratified health state classifications: actual/hypothetical and hypothetical/hypothetical health states.
RESULTS: Thirty-three articles comparing directly elicited patient and population preferences were included, yielding 78 independent preference estimates. These preference estimates served as input for the two stratified health state classifications. Data on health state assessments, elicitation methods, assessment method, and population characteristics was extracted by one reviewer, and checked by two other reviewers. These parameters were used to explain sources of heterogeneity. Overall, patients' actual health state preferences were not significantly higher than populations hypothetical health state preferences (summary mean difference [SMD] = -0.01, 95% confidence interval [CI] = -0.01, 0.03). Nor did preferences for hypothetical health states differ between patients and population (SMD -0.00, 95% CI = -0.02, 0.02). Most parameters substantially influenced the SMD, although the magnitude and direction differed for the two strata used (all P-values <.05).
CONCLUSIONS: The actual/hypothetical and hypothetical/hypothetical meta-analyses demonstrated no significant differences between patient and population preferences, suggesting that both can be used to allocate scarce resources.

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Mesh:

Year:  2006        PMID: 16765267     DOI: 10.1016/j.jclinepi.2005.07.020

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  22 in total

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2.  A value set for the EQ-5D based on experienced health states: development and testing for the German population.

Authors:  Reiner Leidl; Peter Reitmeir
Journal:  Pharmacoeconomics       Date:  2011-06       Impact factor: 4.981

3.  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

4.  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

5.  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

6.  Focusing illusion, adaptation and EQ-5D health state descriptions: the difference between patients and public.

Authors:  Yvette Peeters; Thea P M Vliet Vlieland; Anne M Stiggelbout
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7.  Cross-cultural variation in preference for replantation or revision amputation: Societal and surgeon views.

Authors:  Brianna L Maroukis; Melissa J Shauver; Takanobu Nishizuka; Hitoshi Hirata; Kevin C Chung
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Review 8.  Review of disability weight studies: comparison of methodological choices and values.

Authors:  Juanita A Haagsma; Suzanne Polinder; Alessandro Cassini; Edoardo Colzani; Arie H Havelaar
Journal:  Popul Health Metr       Date:  2014-08-23

9.  How bad is depression? Preference score estimates from depressed patients and the general population.

Authors:  Jeffrey M Pyne; John C Fortney; Shanti Tripathi; David Feeny; Peter Ubel; John Brazier
Journal:  Health Serv Res       Date:  2009-04-21       Impact factor: 3.402

10.  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

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