Literature DB >> 18263558

Race and ethnic disparities in valuing health.

Darrell J Gaskin1, Kevin D Frick.   

Abstract

OBJECTIVE: Patient preferences are often cited as a possible explanation for disparities in treatment. However, no prior studies have examined whether there are racial and ethnic differences in preferences for health states in a general population sample.
METHODS: Data from 21,362 adult respondents to the 2002 Medical Expenditure Panel Survey were used to study variations in valuations of health states. Respondents' health states were valued based on the self-rated Visual Analogue Scale (VAS) and the Euro-Qol-5D using the US and UK societal scoring algorithms. Regression analyses determined whether valuations in health states varied by race or Hispanic origin, controlling for socioeconomic status and place of residence.
RESULTS: Race and ethnicity were not associated with differences in valuations of health states. However, there were systematic differences in characteristics that were controlled, such as health status, age, poverty status, and region of the country. Blacks and Hispanics had slightly higher VAS scores than whites. The negative influence of pain/ discomfort on the VAS score was greater for blacks and Hispanics.
CONCLUSIONS: Racial and ethnic differences in treatment preferences probably do not result from differences in health state valuations. Future research should explore whether differences in preferences for other attributes of treatment account for differences in treatment decisions. Cost-utility researchers using the EuroQol-5D or VAS need not account for blacks' and Hispanics' systematically valuing health states differently than whites do. However, caution may be warranted when considering interventions designed to manage pain or discomfort, because blacks and Hispanics gave greater weight to that domain of health status in their valuations.

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Year:  2008        PMID: 18263558     DOI: 10.1177/0272989X07309641

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


  11 in total

1.  Race and preference-based health-related quality of life measures in the United States.

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3.  Living in the context of poverty and trajectories of breast cancer worry, knowledge, and perceived risk after a breast cancer risk education session.

Authors:  Suzanne Bartle-Haring
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4.  Valuing health in a racially and ethnically diverse community sample: an analysis using the valuation metrics of money and time.

Authors:  Norah E Mulvaney-Day; Marcela Horvitz-Lennon; Chih-Nan Chen; Mara Laderman; Margarita Alegría
Journal:  Qual Life Res       Date:  2010-08-01       Impact factor: 4.147

5.  [Observational study on drug spending in the immigrant and the indigenous population in the Lleida (Catalonia) health region].

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6.  Adolescent Perceptions of Cholesterol Screening Results: "Young Invincibles" or Developing Adults?

Authors:  Holly C Gooding; R Christopher Sheldrick; Laurel K Leslie; Supriya Shah; Sarah D de Ferranti; Thomas I Mackie
Journal:  J Adolesc Health       Date:  2016-05-05       Impact factor: 5.012

7.  Health-related quality of life among veterans in addictions treatment: identifying behavioral targets for future intervention.

Authors:  Marily A Oppezzo; Anne K Michalek; Kevin Delucchi; Michael T M Baiocchi; Paul G Barnett; Judith J Prochaska
Journal:  Qual Life Res       Date:  2016-02-17       Impact factor: 4.147

8.  Differences between individual and societal health state valuations: any link with personality?

Authors:  Benjamin P Chapman; Peter Franks; Paul R Duberstein; Anthony Jerant
Journal:  Med Care       Date:  2009-08       Impact factor: 2.983

9.  Is bad living better than good death? Impact of demographic and cultural factors on health state preference.

Authors:  Xuejing Jin; Gordon Guoen Liu; Nan Luo; Hongchao Li; Haijing Guan; Feng Xie
Journal:  Qual Life Res       Date:  2015-09-07       Impact factor: 4.147

Review 10.  The Pain Experience of Hispanic Americans: A Critical Literature Review and Conceptual Model.

Authors:  Nicole A Hollingshead; Leslie Ashburn-Nardo; Jesse C Stewart; Adam T Hirsh
Journal:  J Pain       Date:  2016-01-30       Impact factor: 5.820

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