Torrance, G. W., & Feeny, D. (1989). Utilities and quality-adjusted life years. International Journal of Technology Assessment in Health Care, 5, 559–575. PubMedCAS Google Scholar
Gold, M. R., Siegel, J. E., Rusell, L. B., & Weinstein, M. C. (1996). Cost-effectiveness in health and medicine. Oxford: Oxford University Press. Google Scholar
Wyrwich, K. W., Bullinger, M., Aaronson, N., Hays, R. D., Patrick, D. L., & Symonds, T. (2005). Estimating clinically significant differences in quality of life outcomes. Quality of Life Research, 14, 285–295. doi:10.1007/s11136-004-0705-2. ArticlePubMed Google Scholar
Revicki, D. A., Cella, D., Hays, R. D., Sloan, J. A., Lenderking, W. R., & Aaronson, N. K. (2006). Responsiveness and minimal important differences for patient reported outcomes. Health and Quality of Life Outcomes, 4, 70–74. doi:10.1186/1477-7525-4-70. ArticlePubMed Google Scholar
Wyrwich, K. W., Tierney, W., & Wolinsky, F. D. (1999). Further evidence supporting an SEM-based criterion for identifying meaningful intra-individual changes in health-related quality of life. Journal of Clinical Epidemiology, 52, 861–873. doi:10.1016/S0895-4356(99)00071-2. ArticlePubMedCAS Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd edn.). Hillsdale, NJ: Lawrence Erlbaum. Google Scholar
Norman, G. R., Sloan, J. A., & Wyrwich, K. W. (2003). Interpretation of changes in health-related quality of life: The remarkable universality of half a standard deviation. Medical Care, 14(5), 582–592. doi:10.1097/00005650-200305000-00004. Article Google Scholar
Sprangers, M. A. G., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: A theoretical model. Social Science and Medicine, 48, 1507–1515. doi:10.1016/S0277-9536(99)00045-3. ArticlePubMedCAS Google Scholar
Guyatt, G. H., Osoba, D., Wu, A. W., Wywrich, K. W., & Norman, G. R.; Clinical Significance Consensus Meeting Group. (2002). Methods to explain the clinical significance of health status measures. Mayo Clinic Proceedings, 77(4), 371–383. ArticlePubMed Google Scholar
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, 1523–1532. doi:10.1007/s11136-004-7713-0. ArticlePubMed Google Scholar
Cella, D., Hahn, E. A., & Dineen, K. (2002). Meaningful change in cancer-specific quality of life scores: Differences between improvement and worsening. Quality of Life Research, 11, 207–221. doi:10.1023/A:1015276414526. ArticlePubMed Google Scholar
Lundberg, L., Johannesson, M., Isacson, D. G. L., & Borgquist, L. (1999). The relationship between health-state utilities and the SF-12 in a general population. Medical Decision Making, 19(2), 128–140. doi:10.1177/0272989X9901900203. ArticlePubMedCAS Google Scholar
Shmueli, A. (2004). The relationship between the visual analog scale and the SF-36 scales in the general population: An update. Medical Decision Making, 24(1), 61–63. doi:10.1177/0272989X03261562. ArticlePubMed Google Scholar
Von Korff, M., Wagner, E. H., & Saunders, K. (1992). A chronic disease score from automated pharmacy data. Journal of Clinical Epidemiology, 45, 197–203. doi:10.1016/0895-4356(92)90016-G. Article Google Scholar
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, 4–11. doi:10.1186/1477-7525-1-4. ArticlePubMed Google Scholar
Ware, J. E., & Kosinski, M. (2001). The SF-36 physical and mental health summary scales. A manual for users of version 1, 2nd edn. Lincoln, RI: QualityMetric Incorporated. Google Scholar
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(2), 271–292. doi:10.1016/S0167-6296(01)00130-8. ArticlePubMed Google Scholar
Nichol, M. B., Sengupta, N., & Globe, D. R. (2001). Evaluating quality-adjusted life years: Estimation of the health utility index (HUI2) from the SF-36. Medical Decision Making, 21, 105–112. doi:10.1177/02729890122062352. ArticlePubMedCAS Google Scholar
Yost, K. J., Cella, D., Chawla, A., Holmgren, E., Eton, T., Ayanian, J. Z., West, D. W. (2005). Minimally important differences were estimated for the Functional Assessment of Cancer Therapy-Colorectal (FACT-C) instrument using a combination of distribution- and anchor-based approaches. Journal of Clinical Epidemiology, 58, 1241–1251. doi:10.1016/j.jclinepi.2005.07.008. ArticlePubMedCAS Google Scholar
Pickard, A. S., Wang, Z., Walton, S. M., & Lee, T. A. (2005). Are decisions using cost-utility analyses robust to choice of SF-36/SF-12 preference-based algorithm? Health and Quality of Life Outcomes, 3, 11–19. doi:10.1186/1477-7525-3-11. ArticlePubMed Google Scholar
Brissette, I., Leventhal, H., & Leventhal, E. A. (2003). Observer ratings of health and sickness: Can other people tell us anything about our health that we don’t already know? Health Psychology, 22, 471–478. doi:10.1037/0278-6133.22.5.471. ArticlePubMed Google Scholar
Brissette, I., Scheier, M. F., & Carver, C. S. (2002). The role of optimism in social network development, coping, and psychological adjustment during a life transition. Journal of Personality and Social Psychology, 82, 102–111. doi:10.1037/0022-3514.82.1.102. ArticlePubMed Google Scholar
Wyrwich, K. W., Metz, S. M., Babu, A. N., Kroenke, K., Tierney, W. M., & Wolinsky, F. D. (2002). The reliability of retrospective change assessments. Quality of Life Research, 11(7), 636. Google Scholar