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Quality of Life Research

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01-09-2013

Predicting preference-based SF-6D index scores from the SF-8 health survey

Authors: P. Wang, A. Z. Fu, H. L. Wee, J. Lee, E. S. Tai, J. Thumboo, N. Luo

Published in: Quality of Life Research | Issue 7/2013

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Abstract

Purpose

To develop and test functions for predicting the preference-based SF-6D index scores from the SF-8 health survey.

Methods

This study was a secondary analysis of data collected in a population health survey in which respondents (n = 7,529) completed both the SF-36 and the SF-8 questionnaires. We examined seven ordinary least-square estimators for their performance in predicting SF-6D scores from the SF-8 at both the individual and the group levels.

Results

In general, all functions performed similarly well in predicting SF-6D scores, and the predictions at the group level were better than predictions at the individual level. At the individual level, 42.5–51.5 % of prediction errors were smaller than the minimally important difference (MID) of the SF-6D scores, depending on the function specifications, while almost all prediction errors of the tested functions were smaller than the MID of SF-6D at the group level. At both individual and group levels, the tested functions predicted lower than actual scores at the higher end of the SF-6D scale.

Conclusions

Our study developed functions to generate preference-based SF-6D index scores from the SF-8 health survey, the first of its kind. Further research is needed to evaluate the performance and validity of the prediction functions.

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Drummond, M. F., O’Brien, B., Stoddart, G. L., & Torrance, G. W. (2005). Methods for the economic evaluation of health care programmes (3rd ed.). New York: Oxford University Press.

Bloom, B. S. (2004). Use of formal benefit/cost evaluations in health system decision making. The American Journal of Managed Care, 10(5), 329–335.PubMed

Patrick, D. L., & Erickson, P. (1993). Health status and health policy: Allocating resources to health care. New York: Oxford University Press.

Dolan, P. (1996). Modeling valuations for EuroQol health states. Medical Care, 35, 1095–1108.CrossRef

Feeny, D. H., Furlong, W. J., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128.PubMedCrossRef

Brazier, J. E., Roberts, J., & Deverill, M. D. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.PubMedCrossRef

Ware, J. E., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF-36 health survey: Manual & interpretation guide. Boston, MA: The Health Institute, New England Medical Centre.

Chuang, L. H., & Kind, P. (2009). Converting the SF-12 into the EQ-5D: an empirical comparison of methodologies. Pharmacoeconomics, 27(6), 491–505.PubMedCrossRef

Sengupta, N., Nichol, M. B., Wu, J., & Globe, D. (2004). Mapping the SF-12 to the HUI3 and VAS in a managed care population. Medical Care, 42(9), 927–937.PubMedCrossRef

10.

Ara, R., & Brazier, J. (2009). Predicting the short form-6D preference-based index using the eight mean short form-36 health dimension scores: estimating preference- based health-related utilities when patient level data are not available. Value in Health, 12(2), 346–353.PubMedCrossRef

11.

Hanmer, J. (2009). Predicting an SF-6D Preference-based score using MCS and PCS scores from the sf-12 or sf-36. Value in Health, 12(6), 958–966.PubMedCrossRef

12.

Gray, A. M., Rivero-Arias, O., & Clarke, P. M. (2006). Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Medical Decision Making, 26(1), 18–29.PubMedCrossRef

13.

Rowen, D., Brazier, J., & Roberts, J. (2009). Mapping SF-36 onto the EQ-5D index: how reliable is the relationship? Health and Quality of Life Outcomes, 7, 27.PubMedCrossRef

14.

Cheung, Y. B., Tan, L. C., Lau, P. N., Au, W. L., & Luo, N. (2008). Mapping the eight-item Parkinson’s disease questionnaire (PDQ-8) to the EQ-5D utility index. Quality of Life Research, 17(9), 1173–1181.PubMedCrossRef

15.

Sullivan, P. W., & Ghushchyan, V. (2006). Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample. Medical Decision Making, 26(4), 401–409.PubMedCrossRef

16.

Franks, P., Lubetkin, E. I., Gold, M. R., Tancredi, D. J., & Jia, H. (2004). Mapping the SF-12 to the EuroQol EQ-5D index in a national US sample. Medical Decision Making, 24(3), 247–254.PubMedCrossRef

17.

Lawrence, W. F., & Fleishman, J. A. (2004). Predicting EuroQol EQ-5D preference scores from the SF-12 Health Survey in a nationally representative sample. Medical Decision Making, 24(2), 160–169.PubMedCrossRef

18.

National Institute for Health and Clinical Excellence (2012). Guide to the methods of technology appraisal. http://www.nice.org.uk/niceMedia/pdf/TAP_Methods.pdf. Accessed March 19, 2012.

19.

Ware, J. E., Kosinski, M., Dewey, J. E., & Gandek, B. (2001). How to score and interpret single-item health status measures: A manual for users of the SF-8 health survey. Lincoln RI: Quality Metric Incorporated.

20.

Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859.PubMedCrossRef

21.

Wee, H. L., Wu, Y., Thumboo, J., Lee, J., & Tai, E. S. (2010). Association of body mass index with short-form 36 physical and mental component summary scores in a multiethnic Asian population. International Journal of Obesity, 34, 1034–1043.PubMedCrossRef

22.

Roberts, B., Browne, J., Ocaka, K. F., Oyok, T., & Sondorp, E. (2008). The reliability and validity of the SF-8 with a conflict-affected population in northern Uganda. Health and Quality of Life Outcomes, 6, 108.PubMedCrossRef

23.

Bost, J. E., Williams, B. A., Bottegal, M. T., Dang, Q., & Rubio, D. M. (2007). The 8-item short-form health survey and the physical comfort composite score of the quality of recovery 40-item scale provide the most responsive assessments of pain, physical function, and mental function during the first 4 days after ambulatory knee surgery with regional anesthesia. Anesthesia and Analgesia, 105(6), 1693–1700.PubMedCrossRef

24.

Lefante, J. J. Jr, Harmon, G. N., Ashby, K. M., Barnard, D., & Webber, L. S. (2005). Use of the SF-8 to assess health-related quality of life for a chronically ill, low-income population participating in the central Louisiana medication access program (CMAP). Quality of Life Research, 14(3), 665–673.PubMedCrossRef

25.

Sugimoto, M., Takegami, M., Suzukamo, Y., Fukuhara, S., & Kakehi, Y. (2008). Health-related quality of life in Japanese men with localized prostate cancer: assessment with the SF-8. International Journal of Urology, 15, 524–528.PubMedCrossRef

26.

Thumboo, J., Fong, K. Y., Machin, D., Chan, S. P., Leon, K. H., Feng, P. H., et al. (2001). A community-based study of scaling assumptions and construct validity of the English (UK) and Chinese (HK) SF-36 in Singapore. Quality of Life Research, 10(2), 175–188.PubMedCrossRef

27.

Walters, S. J., & Brazier, J. E. (2005). Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Quality of Life Research, 14(6), 1523–1532.PubMedCrossRef

28.

Fayers, P. M., & Machin, D. (2005). Developing and testing questionnaire. In: Quality of life: Assessment, Analysis and Interpretation (pp. 43-71). Chichester: John Wiley & Sons.

29.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

30.

Brazier, J. E., Yang, Y. L., Tsuchiya, A., & Rowen, D. L. (2010). A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures. The European Journal of Health Economics, 11, 215–225.PubMedCrossRef

31.

Sullivan, P. W., & Ghushchyan, V. (2006). Mapping the EQ-5D Index from the SF-12: US general population preferences in a nationally representative sample. Medical Decision Making, 26, 401–409.PubMedCrossRef

32.

Li, L., & Fu, A. Z. (2009). Some methodological issues with the analysis of preference-based EQ-5D index score. Health Service and Outcomes Research Methodology, 9(3), 162–176.CrossRef

Title: Predicting preference-based SF-6D index scores from the SF-8 health survey
Authors: P. Wang
A. Z. Fu
H. L. Wee
J. Lee
E. S. Tai
J. Thumboo
N. Luo
Publication date: 01-09-2013
Publisher: Springer Netherlands
Published in: Quality of Life Research / Issue 7/2013
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-012-0284-6

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Abstract

Purpose

Methods

Results

Conclusions

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