Literature DB >> 15660989

Measuring health state preferences for hemophilia: development of a disease-specific utility instrument.

J Wasserman1, L A Aday, C E Begley, C Ahn, D R Lairson.   

Abstract

Generic and disease-specific instruments have been used to assess health-related quality of life (HRQoL) in hemophilia. However, HRQoL measures also need to reflect patient preferences for various hemophilia health states. The goal of this project was to develop a disease-specific utility instrument that measures patient preferences for various health states unique to hemophilia. The visual analog scale (VAS) and the standard gamble (SG) methods were used. Study participants (n = 128) were tested and stratified into paediatric and adult groups. Test-retest reliability was demonstrated for both instruments, with r = 0.91 for the VAS and r = 0.79 for the SG. When comparing results by age group, statistically significant differences were observed between paediatric and adult participants with the SG instrument (P = 0.045), with older participants taking more risk overall. However, no significant differences based on age were seen when using the VAS (P = 0.636). Statistically significant differences were observed between the VAS and SG instruments within both the paediatric and adult groups (P < 0.0001). In general, the SG yielded higher preference scores than the VAS for the majority of health states. Results derived from the SG instrument indicate that age can influence patients' preferences regarding their state of health. This can have implications for considering treatment options based on the mean age of the population under consideration. Both instruments demonstrated reliability and validity indicating that they could be used to assess patient preferences in hemophilia. However, preference score differences indicate that the two measures may not be interchangeable.

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Year:  2005        PMID: 15660989     DOI: 10.1111/j.1365-2516.2005.01054.x

Source DB:  PubMed          Journal:  Haemophilia        ISSN: 1351-8216            Impact factor:   4.287


  9 in total

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2.  Preferences for type 2 diabetes health states among adolescents with or at risk of type 2 diabetes mellitus.

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3.  A review of preference-based measures for the assessment of quality of life in children and adolescents with cerebral palsy.

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4.  The effects of joint disease, inhibitors and other complications on health-related quality of life among males with severe haemophilia A in the United States.

Authors:  J M Soucie; S D Grosse; A-E-A Siddiqi; V Byams; J Thierry; M M Zack; A Shapiro; N Duncan
Journal:  Haemophilia       Date:  2017-06-02       Impact factor: 4.287

5.  Preference Elicitation Techniques Used in Valuing Children's Health-Related Quality-of-Life: A Systematic Review.

Authors:  Cate Bailey; Martin Howell; Kirsten Howard; Rosalie Viney; Rakhee Raghunandan; Amber Salisbury; Gang Chen; Joanna Coast; Jonathan C Craig; Nancy J Devlin; Elisabeth Huynh; Emily Lancsar; Brendan J Mulhern; Richard Norman; Stavros Petrou; Julie Ratcliffe; Deborah J Street
Journal:  Pharmacoeconomics       Date:  2022-05-27       Impact factor: 4.558

6.  Measuring Health Utilities in Children and Adolescents: A Systematic Review of the Literature.

Authors:  Dominic Thorrington; Ken Eames
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

7.  A Checklist for Reporting Valuation Studies of Multi-Attribute Utility-Based Instruments (CREATE).

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8.  Health-related quality of life and health status in persons with haemophilia A with inhibitors: A prospective, multicentre, non-interventional study (NIS).

Authors:  Johnny Mahlangu; Johannes Oldenburg; Michael U Callaghan; Midori Shima; Maria Elisa Mancuso; Peter Trask; Michael Recht; Claudia Garcia; Renchi Yang; Michaela Lehle; Harrison Macharia; Elina Asikanius; Gallia G Levy; Rebecca Kruse-Jarres; Sylvia von Mackensen
Journal:  Haemophilia       Date:  2019-04-24       Impact factor: 4.287

9.  Validation study of the prototype of a disease-specific index measure for health-related quality of life in dementia.

Authors:  Carla J M Schölzel-Dorenbos; Alexander M M Arons; Joost J G Wammes; Marcel G M Olde Rikkert; Paul F M Krabbe
Journal:  Health Qual Life Outcomes       Date:  2012-09-25       Impact factor: 3.186

  9 in total

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