Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 6/2011

01-08-2011

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

Auteurs: Claudia C. A. Pereira, Mari Palta, John Mullahy, Dennis G. Fryback

Gepubliceerd in: Quality of Life Research | Uitgave 6/2011

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Background

Health-related quality of life instruments (HRQoL) are widely used to produce measures that summarize population health and to inform decision-making and health policy. Although the literature about the relationship between health and race in the United States is quite extensive, there is a lack of studies that comprehensively examine the relationship between race and preference-based HRQoL. Given the widespread use of these measures, it becomes important to understand the extent of the race differences in HRQoL scores and factors associated with any such differences.

Methods

We examined the differences in HRQoL, between blacks and whites and associated factors, using the summary scores of the SF-6D, EQ-5D, QWB-SA, HUI2, HUI3, administered by telephone to a nationally representative sample of 3,578 black and white US adults between the ages of 35 and 89 in the National Health Measurement Study (NHMS).

Results

Black women had substantially lower HRQoL than white women. The difference was largely explained by sociodemographic and socioeconomic variables. Black men did not differ significantly from white men, except for the EQ-5D. HRQoL among black men was higher at higher income levels, while the HRQoL of black women was especially low compared to other groups at high income levels.
vorige artikel Weight loss and changes in generic and weight-specific quality of life in obese adolescents
Literatuur
1.
Williams, D., & Mohammed, S. (2009). Discrimination and racial disparities in health: evidence and needed research. Journal of Behavioral Medicine, 32, 20–47.PubMedCrossRef
2.
Barr, D. A. (2008). Health disparities in the United States : Social class, race, ethnicity, and health. Baltimore: Johns Hopkins University Press.
3.
Williams, D. R., Yan, Y., Jackson, J. S., & Anderson, N. B. (1997). Racial differences in physical and mental health: Socio-economic status, stress and discrimination. Journal of Health Psychology, 2, 335–351.CrossRef
4.
Quittner, A. L., Schechter, M. S., Rasouliyan, L., Haselkorn, T., Pasta, D. J., & Wagener, J. S. (2010). Impact of socioeconomic status, race, and ethnicity on quality of life in patients with cystic fibrosis in the United States. Chest, 137(3), 642–650.PubMedCrossRef
5.
Xie, J., Wu, E., Zheng, Z., Sullivan, P., Zhan, L., & Labarthe, D. (2008). Patient-reported health status in coronary heart disease in the United States: Age, sex, racial, and ethnic differences. Circulation, 118, 491–497.PubMedCrossRef
6.
Gaskin, D., & Frick, K. (2008). Race and ethnic disparities in valuing health. Medical Decision Making, 28, 12–20.PubMedCrossRef
7.
Luo, N., Johnson, J., Shaw, J., Feeny, D., & Coons, S. (2005). Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and health utilities index. Medical Care, 43, 1078–1086.PubMedCrossRef
8.
Lubetkin, E., Jia, H., Franks, P., & Gold, M. (2005). Relationship among sociodemographic factors, clinical conditions, and health-related quality of life: Examining the EQ-5D in the U.S. general population. Quality of Life Research, 14, 2187–2196.PubMedCrossRef
9.
Brooks, R., Rabin, R., & de Charro, F. (2003). The measurement and valuation of health status using EQ-5D: A European perspective. Dordrecht, Netherlands: Kluwer Academic Publishers.
10.
Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). US valuation of the EQ-5D health states: Development and testing of the DI valuation model. Medical Care, 43(3), 203–220.PubMedCrossRef
11.
Torrance, W. G., Feeny, D. H., Furlong, W. J., Barr, R. D., Zhang, Y., & Wang, Q. (1996). Multiattribute utility function for a comprehensive health status classification system: Health utilities index mark 2. Medical Care, 34(7), 702–722.PubMedCrossRef
12.
Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and singleattribute utility functions for the health utilities index mark 3 system. Medical Care, 40, 113–128.PubMedCrossRef
13.
Andresen, E. M., Rothenberg, B. M., & Kaplan, R. M. (1998). Performance of a self-administered mailed version of the quality of well-being (QWB-SA) questionnaire among older adults. Medical Care, 36, 1349–1360.PubMedCrossRef
14.
Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21, 271–292.PubMedCrossRef
15.
Brazier, J., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42, 851–859.PubMedCrossRef
16.
Sullivan, P., Lawrence, W., & Ghushchyan, V. (2005). A national catalog of preference-based scores for chronic conditions in the United States. Medical Care, 43, 736–749.PubMedCrossRef
17.
House, J., & Williams, D. R. (2003). Understanding and reducing socioeconomic and racial/ethnic disparities in health. In R. Hofrichter (Ed.), Health and social justice: A reader on the politics, ideology, and inequity in the distribution of disease (pp. 89–131). San Francisco: Jossey-Bass.
18.
Fryback, D., Dunham, N., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the national health measurement study. Medical Care, 45, 1162–1170.PubMedCrossRef
19.
Cherepanov, D., Palta, M., Fryback, D. G., & Robert, S. A. (2010). Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: Evidence from four US nationally representative data sets. Quality of Life Research (in press).
20.
Robert, S. A., Cherepanov, D., Palta, M., Dunham, N. C., Feeny, D., & Fryback, D. G. (2009). Socioeconomic status and age variations in health-related quality of life: Results from the national health measurement study. Journal of Gerontology: Social Science, 64B, 378–389.CrossRef
21.
Schafer, J. L. (1997). Analysis of incomplete multivariate data. London: Chapman & Hall.CrossRef
22.
Kaplan, R. M. (2005). The minimally clinically important difference in generic utility-based measures. COPD, 21, 91–97.CrossRef
23.
Walters, S. J., & Brazier, J. E. (2003). What is the relationship between the minimally important difference and health state utility values? The case of the SF-6D. Health and Quality of Life Outcomes, 11, 1–4.
24.
Walters, S. J., & Brazier, J. E. (2005). Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Health and Quality of Life Outcomes, 146, 1523–1532.
25.
Coons, S., & Shaw, J. (2005). Generic adult health status measures. In P. Hayers & R. Hays (Eds.), Assessing quality of life in clinical trials (p. 467). New York: Oxford University Press.
26.
National Center for Health Statistics. (2007). Chartbook on trends in the health of Americans. In Health, United States, 2007 (p. 551). Hyattsville, MD.
27.
Ware, D., & Livingston, I. (2004). The life expectancy of the black male: Pressing issues from the cradle to the grave. In I. L. Livingston (Ed.), Praeger handbook of Black American health: Policies, issues behind disparities in health. Westport, CT: Praeger.
28.
Shaw, J., Johnson, J., Chen, S., Levin, J., & Coons, S. (2007). Racial/ethnic differences in preferences for the EQ-5D health states: Results from the U.S. valuation study. Journal of Clinical Epidemiology, 60, 479–490.PubMedCrossRef
29.
Perkins, A., Stump, T., Monahan, P., & McHorney, C. (2006). Assessment of differential item functioning for demographic comparisons in the MOS SF-36 health survey. Quality of Life Research, 15, 331–348.PubMedCrossRef
30.
Hanmer, J., Hays, R. D., Fryback, D. G., et al. (2007). Mode of administration is important in US national estimates of health-related quality of life. Medical Care, 45, 1171–1179.PubMedCrossRef
31.
United States Census Bureau. (2009). Current population survey, 2004 panel. Washington, DC.
32.
Department of Health, Human Services. (2001). Mental health: Culture, race, and ethnicity—a supplement to mental health: A report of the surgeon general. Rockville, MD: Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Mental Health Services.
33.
McHorney, C., Ware, J., Lu, J., & Sherbourne, C. (1994). The MOS 36-item short-form health survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Medical Care, 32, 40–66.PubMedCrossRef
34.
Shavers-Hornaday, V., Lynch, C., Burmeister, L., & Torner, J. (1997). Why are African Americans under-represented in medical research studies? Impediments to participation. Ethnicity and Health, 2, 31–45.PubMedCrossRef
35.
Katz, R., Green, B., Kressin, N., Kegeles, S., Wang, M., James, S., et al. (2008). The legacy of the Tuskegee syphilis study: Assessing its impact on willingness to participate in biomedical studies. Journal of Health Care for the Poor and Underserved, 19, 1168–1180.PubMedCrossRef
36.
Thomas, S., & Quinn, S. (1991). The Tuskegee syphilis study, 1932 to 1972: Implications for HIV education and AIDS risk education programs in the black community. American Journal of Public Health, 81, 1498–1505.PubMedCrossRef
37.
Thorpe, R. J., Weiss, C., Xue, Q., & Fried, L. (2009). Transitions among disability levels or death in African American and white older women. Journal of Gerontology Series A Biological Sciences Medical Sciences, 64, 670–674.CrossRef
38.
Skarupski, K. A., Mendes de Leon, C. F., Bienas, J. L., Scherr, P. A., Zack, M. M., Moriarty, D. G., et al. (2007). Black-white differences in health-related quality of life among older adulta. Quality of Life Research, 16, 287–296.PubMedCrossRef
39.
Bratter, J., & Eschbach, K. (2005). Race/ethnic differences in nonspecific psychological distress: Evidence from the national health interview survey. Social Science Quarterly, 86, 620–644.CrossRef
40.
Ferraro, K. (1993). Are black older adults health-pessimistic? Journal of Health and Social Behavior, 34, 201–214.PubMedCrossRef
41.
Kessler, R., & Neighbors, H. (1986). A new perspective on the relationships among race, social class, and psychological distress. Journal of Health and Social Behavior, 27, 107–115.PubMedCrossRef
42.
Brown, D. (2003). A conceptual model of mental well-being for African American women. In D. Brown & V. Keith (Eds.), In and out of our right minds: The mental health of African American women (Vol. xv, 301 p). New York: Columbia University Press.
Metagegevens
Titel
Race and preference-based health-related quality of life measures in the United States
Auteurs
Claudia C. A. Pereira
Mari Palta
John Mullahy
Dennis G. Fryback
Publicatiedatum
01-08-2011
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 6/2011
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-010-9813-3

Andere artikelen Uitgave 6/2011

Quality of Life Research 6/2011 Naar de uitgave

OriginalPaper

Psychosocial interventions to improve quality of life in prostate cancer survivors and their intimate or family partners

Brief Communication

Cross-cultural adaptation and validation with reliability, validity, and responsiveness of the Italian version of the Oxford Hip Score in patients with hip osteoarthritis

OriginalPaper

A new test of the construct validity of the CarerQol instrument: measuring the impact of informal care giving

Brief Communication

Estimation of the impact of diabetes-related complications on health utilities for patients with type 2 diabetes in Ontario, Canada

Brief Communication

Some psychometric properties of the Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales (PedsQLTM) in the general Serbian population

OriginalPaper

PedsQL™ Cognitive Functioning Scale in pediatric liver transplant recipients: feasibility, reliability, and validity