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Gepubliceerd in: Quality of Life Research 8/2011

01-10-2011

A preference-based measure of health: the VR-6D derived from the veterans RAND 12-Item Health Survey

Auteurs: Alfredo J. Selim, William Rogers, Shirley X. Qian, John Brazier, Lewis E. Kazis

Gepubliceerd in: Quality of Life Research | Uitgave 8/2011

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Abstract

Purpose

The Veterans RAND 12-Item Health Survey (VR-12) is currently the major endpoint used in the Medicare managed care outcomes measure in the Healthcare Effectiveness Data and Information Set (HEDIS®), referred to as the Health Outcomes Survey (HOS). The purpose of this study is to adapt the Brazier SF-6D utility measure to the VR-12 to generate a single utility index.

Methods

We used the HOS cohorts 2 and 3 for SF-36 data and 9 for VR-12 data. We calculated SF-6D scores from the SF-36 using the algorithms developed by Brazier and colleagues. The values of the Brazier SF-6D were used to estimate utility scores from the VR-12 using a mapping approach based on a 2-stage mapping procedure, named as VR-6D.

Results

The VR-6D derived from the VR-12 has similar distributional properties as the SF-6D. The change in VR-6D showed significant variations across disease groups with different levels of morbidity and mortality.

Conclusions

This study produced a utility measure for the VR-12 that is comparable to the SF-6D and responsive to change. The VR-6D can be used in evaluations of health care plans and cost-effectiveness analysis to compare the health gains that health care interventions can achieve.
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Literatuur
1.
go back to reference Eichler, H. G., Kong, S. X., Gerth, W. C., Mavros, P., & Jönsson, B. (2004). Use of cost-effectiveness analysis in health-care resource allocation decision-making: How are cost-effectiveness thresholds expected to emerge? Value Health, 7, 518–528.PubMedCrossRef Eichler, H. G., Kong, S. X., Gerth, W. C., Mavros, P., & Jönsson, B. (2004). Use of cost-effectiveness analysis in health-care resource allocation decision-making: How are cost-effectiveness thresholds expected to emerge? Value Health, 7, 518–528.PubMedCrossRef
2.
go back to reference Gold, M. R., Russell, L. B., & Weinstein, M. C. (Eds.). (1996). Cost-effectiveness in health and medicine. New York: Oxford University Press. Gold, M. R., Russell, L. B., & Weinstein, M. C. (Eds.). (1996). Cost-effectiveness in health and medicine. New York: Oxford University Press.
3.
go back to reference Kazis, L. (Chair of committee report) (in alphabetical order) Bierman, A., Diehr, P., Hays, R., Holzman, J., Iqbal, S.U., Kaplan, R., Lawrence, W., Rogers, W., Scholle, S.H., Selim, A., Shapiro, G., Smith, K. A White Paper report commissioned by CMS with Recommendations for the Medicare Health Outcomes Survey. Submitted to the Center for Medicare and Medicaid Services, Baltimore Maryland, October 26, 2007. Kazis, L. (Chair of committee report) (in alphabetical order) Bierman, A., Diehr, P., Hays, R., Holzman, J., Iqbal, S.U., Kaplan, R., Lawrence, W., Rogers, W., Scholle, S.H., Selim, A., Shapiro, G., Smith, K. A White Paper report commissioned by CMS with Recommendations for the Medicare Health Outcomes Survey. Submitted to the Center for Medicare and Medicaid Services, Baltimore Maryland, October 26, 2007.
4.
go back to reference HEDIS®2003 Volume 6. February 2003. Specifications for the medicare health outcomes survey. Washington, DC: National Committee for Quality Assurance. HEDIS®2003 Volume 6. February 2003. Specifications for the medicare health outcomes survey. Washington, DC: National Committee for Quality Assurance.
5.
go back to reference Neumann, P. J., Rosen, A. B., & Weinstein, M. C. (2005). Medicare and cost-effectiveness analysis. New England Journal of Medicine, 353, 1516–1522.PubMedCrossRef Neumann, P. J., Rosen, A. B., & Weinstein, M. C. (2005). Medicare and cost-effectiveness analysis. New England Journal of Medicine, 353, 1516–1522.PubMedCrossRef
6.
go back to reference Weinstein, M. C., Siegel, J. E., Gold, M. R., Kamlet, M. S., & Russell, L. B. (1996). Recommendations of the Panel on Cost-effectiveness in Health and Medicine. JAMA, 276, 1253–1258.PubMedCrossRef Weinstein, M. C., Siegel, J. E., Gold, M. R., Kamlet, M. S., & Russell, L. B. (1996). Recommendations of the Panel on Cost-effectiveness in Health and Medicine. JAMA, 276, 1253–1258.PubMedCrossRef
7.
go back to reference Coons, S. J., Rao, S., Keininger, D. L., et al. (2000). A comparative review of generic quality-of-life instruments. Pharmacoeconomics, 17(1), 13–35.PubMedCrossRef Coons, S. J., Rao, S., Keininger, D. L., et al. (2000). A comparative review of generic quality-of-life instruments. Pharmacoeconomics, 17(1), 13–35.PubMedCrossRef
8.
go back to reference 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(9), 1349–1360.PubMedCrossRef 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(9), 1349–1360.PubMedCrossRef
9.
go back to reference Brooks, R., Rabin, R., & de Charro, F. (2003). The measurement and valuation of health status using EQ-5D: A European Perspective. Dordrecht, The Netherlands: Kluwer. Brooks, R., Rabin, R., & de Charro, F. (2003). The measurement and valuation of health status using EQ-5D: A European Perspective. Dordrecht, The Netherlands: Kluwer.
10.
go back to reference Feeny, D., Toorance, G., Furlong, W., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40, 113–128.PubMedCrossRef Feeny, D., Toorance, G., Furlong, W., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40, 113–128.PubMedCrossRef
11.
go back to reference 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 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
12.
go back to reference Hays, R. D., Sherbourne, C. D., & Mazel, R. M. (1993). The RAND 36-Item Health Survey 1.0. Health Economics, 2, 217–227.PubMedCrossRef Hays, R. D., Sherbourne, C. D., & Mazel, R. M. (1993). The RAND 36-Item Health Survey 1.0. Health Economics, 2, 217–227.PubMedCrossRef
13.
go back to reference Ware, J. E., Jr., Kosinski, M., & Keller, S. D. (1996). A 12 Item Short Form Health Survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34, 220–233.PubMedCrossRef Ware, J. E., Jr., Kosinski, M., & Keller, S. D. (1996). A 12 Item Short Form Health Survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34, 220–233.PubMedCrossRef
14.
go back to reference Kazis, L. E., Miller, D. R., Skinner, K. M., et al. (2006). Applications of methodologies of the Veterans Health Study in the VA healthcare system: Conclusions and summary. The Journal of Ambulatory Care Management, 29, 182–188.PubMed Kazis, L. E., Miller, D. R., Skinner, K. M., et al. (2006). Applications of methodologies of the Veterans Health Study in the VA healthcare system: Conclusions and summary. The Journal of Ambulatory Care Management, 29, 182–188.PubMed
16.
go back to reference Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42, 851–859.PubMedCrossRef Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42, 851–859.PubMedCrossRef
17.
go back to reference Kazis, L. E., Ren, X. S., Lee, A., et al. (1999). Health status in VA patients: Results from the Veterans Health Study. American Journal of Medical Quality, 14, 28–38.PubMedCrossRef Kazis, L. E., Ren, X. S., Lee, A., et al. (1999). Health status in VA patients: Results from the Veterans Health Study. American Journal of Medical Quality, 14, 28–38.PubMedCrossRef
18.
go back to reference Hanmer, J. (2009). Predicting an SF-6D preference-based score using MCS and PCS Scores from the SF-36 or SF-12. Value in Health, 12, 958–966.PubMedCrossRef Hanmer, J. (2009). Predicting an SF-6D preference-based score using MCS and PCS Scores from the SF-36 or SF-12. Value in Health, 12, 958–966.PubMedCrossRef
20.
go back to reference Kazis, L. E., Selim, A., Rogers, W., Ren, X. S., Lee, A., & Miller, D. R. (2006). Dissemination of methods and results from the veterans health study: Final comments and implications for future monitoring strategies within and outside the veterans healthcare system. The Journal of Ambulatory Care Management, 29, 310–319.PubMed Kazis, L. E., Selim, A., Rogers, W., Ren, X. S., Lee, A., & Miller, D. R. (2006). Dissemination of methods and results from the veterans health study: Final comments and implications for future monitoring strategies within and outside the veterans healthcare system. The Journal of Ambulatory Care Management, 29, 310–319.PubMed
21.
go back to reference Kazis, L. E., Miller, D. R., Skinner, K. M., et al. (2004). Patient-reported measures of health: The Veterans Health Study. The Journal of Ambulatory Care Management, 27, 70–83.PubMed Kazis, L. E., Miller, D. R., Skinner, K. M., et al. (2004). Patient-reported measures of health: The Veterans Health Study. The Journal of Ambulatory Care Management, 27, 70–83.PubMed
22.
go back to reference Kazis, L. E., Miller, D. R., Clark, J. A., Skinner, K. M., Lee, A., Ren, X. S., et al. (2004). Improving the response choices on the veterans SF-36 health survey role functioning scales: Results from the Veterans Health Study. The Journal of Ambulatory Care Management, 27(3), 263–280.PubMed Kazis, L. E., Miller, D. R., Clark, J. A., Skinner, K. M., Lee, A., Ren, X. S., et al. (2004). Improving the response choices on the veterans SF-36 health survey role functioning scales: Results from the Veterans Health Study. The Journal of Ambulatory Care Management, 27(3), 263–280.PubMed
23.
go back to reference Ware, J. E., Kosinski, M., & Keller, S. K. (1994). SF-36 physical and mental health summary scales: A users’s manual. Boston, MA: The Health Institute, New England Medical Center. Ware, J. E., Kosinski, M., & Keller, S. K. (1994). SF-36 physical and mental health summary scales: A users’s manual. Boston, MA: The Health Institute, New England Medical Center.
24.
go back to reference Ware, J. E., Kosinski, M., & Keller, S. D. (1995). SF-12: How to score the SF-12 physical and mental health summary scores. Boston, Massachusetts: The Health Institute, New England Medical Center. Ware, J. E., Kosinski, M., & Keller, S. D. (1995). SF-12: How to score the SF-12 physical and mental health summary scores. Boston, Massachusetts: The Health Institute, New England Medical Center.
25.
go back to reference Selim, A. J., Rogers, W., Fleishman, J. A., Qian, S. X., Fincke, B. G., Rothendler, J. A., et al. (2009). Updated U.S. population standard for the Veterans RAND 12-item Health Survey (VR-12). Quality of Life Research, 18, 43–52.PubMedCrossRef Selim, A. J., Rogers, W., Fleishman, J. A., Qian, S. X., Fincke, B. G., Rothendler, J. A., et al. (2009). Updated U.S. population standard for the Veterans RAND 12-item Health Survey (VR-12). Quality of Life Research, 18, 43–52.PubMedCrossRef
26.
go back to reference Ara, R., & Brazier, J. (2009). Predicting SF-6D preference-based utilities using the SF-36 health summary scores: Approximating health related utilities when patient level data is not available. Value in Health, 12, 346–353.PubMedCrossRef Ara, R., & Brazier, J. (2009). Predicting SF-6D preference-based utilities using the SF-36 health summary scores: Approximating health related utilities when patient level data is not available. Value in Health, 12, 346–353.PubMedCrossRef
27.
go back to reference Kazis, L. E., Miller, D. R., Clark, J. A., et al. (2004). Improving the response choices on the veterans SF-36 health survey role functioning scales: Results from the Veterans Health Study. The Journal of Ambulatory Care Management, 27, 263–280.PubMed Kazis, L. E., Miller, D. R., Clark, J. A., et al. (2004). Improving the response choices on the veterans SF-36 health survey role functioning scales: Results from the Veterans Health Study. The Journal of Ambulatory Care Management, 27, 263–280.PubMed
28.
go back to reference Perlin, J., Kazis, L. E., Skinner, K., et al. (2000). Health status and outcomes of veterans: Physical and mental component summary scores veterans SF-36. 1999 large health survey of veteran enrollees, executive report. Office of Quality and Performance (10Q) and Center for Health Quality, Outcomes and Economic Research, HSR&D Field Program, Washington D.C. and Bedford Massachusetts. Perlin, J., Kazis, L. E., Skinner, K., et al. (2000). Health status and outcomes of veterans: Physical and mental component summary scores veterans SF-36. 1999 large health survey of veteran enrollees, executive report. Office of Quality and Performance (10Q) and Center for Health Quality, Outcomes and Economic Research, HSR&D Field Program, Washington D.C. and Bedford Massachusetts.
29.
go back to reference Bullen, P. S., & Mitrinović, D. S., Vasić, P. M. “Means and their inequalities,” Reidel (1988) pp. 27ff. Bullen, P. S., & Mitrinović, D. S., Vasić, P. M. “Means and their inequalities,” Reidel (1988) pp. 27ff.
30.
go back to reference 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, 1, 4.PubMedCrossRef 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, 1, 4.PubMedCrossRef
31.
go back to reference Harrison, M., Davies, L., Bansback, N. J., McCoy, M. J., Verstappe, S. M. S., Watson, K., Symmons, D. P. M. and the British Society for Rheumatology Biologics Register Control Centre Consortium (2009). Qual Life Res 18:1195–1205. Harrison, M., Davies, L., Bansback, N. J., McCoy, M. J., Verstappe, S. M. S., Watson, K., Symmons, D. P. M. and the British Society for Rheumatology Biologics Register Control Centre Consortium (2009). Qual Life Res 18:1195–1205.
32.
go back to reference Pliskin, J. S., Shepard, D. S., & Weinstein, M. C. (1980). Utility functions for life years and health status. Operations Research, 28, 206–224.CrossRef Pliskin, J. S., Shepard, D. S., & Weinstein, M. C. (1980). Utility functions for life years and health status. Operations Research, 28, 206–224.CrossRef
33.
go back to reference Tsuchiya, A., & Dolan, P. (2005). The QALY model and individual preferences for health states and health profiles over time: A systematic review of the literature. Medical Decision Making, 25, 460–467.PubMedCrossRef Tsuchiya, A., & Dolan, P. (2005). The QALY model and individual preferences for health states and health profiles over time: A systematic review of the literature. Medical Decision Making, 25, 460–467.PubMedCrossRef
34.
go back to reference Smith, M. D., Drummond, M., & Brixner, D. (2009). Moving the QALY forward: Rationale for change. Value Health, 1, S1–S4.CrossRef Smith, M. D., Drummond, M., & Brixner, D. (2009). Moving the QALY forward: Rationale for change. Value Health, 1, S1–S4.CrossRef
35.
go back to reference Ferreira, P. L., Ferreira, L. N., & Pereira, L. N. (2008). How consistent are health utility values? Quality of Life Research, 17, 1031–1042.PubMedCrossRef Ferreira, P. L., Ferreira, L. N., & Pereira, L. N. (2008). How consistent are health utility values? Quality of Life Research, 17, 1031–1042.PubMedCrossRef
36.
go back to reference Seymour, J., McNamee, P., Scott, A., & Tinelli, M. (2010). Shedding new light onto the ceiling and floor? A quantile regression approach to compare EQ-5D and SF-6D responses. Health Economics, 19, 683–696.PubMed Seymour, J., McNamee, P., Scott, A., & Tinelli, M. (2010). Shedding new light onto the ceiling and floor? A quantile regression approach to compare EQ-5D and SF-6D responses. Health Economics, 19, 683–696.PubMed
37.
go back to reference Brazier, J., Roberts, J., Tsuchiya, A., & Busschbach, J. (2004). A comparison of the EQ-5D and SF-6D across seven patient groups. Health Economics, 13, 873–884.PubMedCrossRef Brazier, J., Roberts, J., Tsuchiya, A., & Busschbach, J. (2004). A comparison of the EQ-5D and SF-6D across seven patient groups. Health Economics, 13, 873–884.PubMedCrossRef
38.
go back to reference Kharroubi, S. A., Brazier, J. E., Roberts, J., & O’Hagan, A. (2007). Modelling SF-6D health state preference data using a nonparametric Bayesian method. Journal of Health Economics, 26, 597–612.PubMedCrossRef Kharroubi, S. A., Brazier, J. E., Roberts, J., & O’Hagan, A. (2007). Modelling SF-6D health state preference data using a nonparametric Bayesian method. Journal of Health Economics, 26, 597–612.PubMedCrossRef
39.
go back to reference Kharroubi, S. A., Brazier, J. E., & O’Hagan, A. (2007). Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian method. Social Science and Medicine, 64, 1242–1252.PubMedCrossRef Kharroubi, S. A., Brazier, J. E., & O’Hagan, A. (2007). Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian method. Social Science and Medicine, 64, 1242–1252.PubMedCrossRef
Metagegevens
Titel
A preference-based measure of health: the VR-6D derived from the veterans RAND 12-Item Health Survey
Auteurs
Alfredo J. Selim
William Rogers
Shirley X. Qian
John Brazier
Lewis E. Kazis
Publicatiedatum
01-10-2011
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 8/2011
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-011-9866-y

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