Rothrock, N. E., Hays, R. D., Spritzer, K., Yount, S. E., Riley, W., & Cella, D. (2010). Relative to the general US population, chronic diseases are associated with poorer health-related quality of life as measured by the patient-reported outcomes measurement information system (PROMIS). J Clin Epidemiol, 63(11), 1195–1204.
Article
Google Scholar
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. J Clin Epidemiol, 63(11), 1179–1194.
Article
Google Scholar
Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH roadmap cooperative group during its first two years. Med Care, 45(5 Suppl 1), S3–S11.
Article
Google Scholar
Cook, K. F., Jensen, S. E., Schalet, B. D., Beaumont, J. L., Amtmann, D., Czajkowski, S., et al. (2016). PROMIS measures of pain, fatigue, negative affect, physical function, and social function demonstrated clinical validity across a range of chronic conditions. J Clin Epidemiol, 73, 89–102.
Article
Google Scholar
Stone, A. A., Broderick, J. E., Schwartz, J. E., & Schwarz, N. (2008). Context effects in survey ratings of health, symptoms, and satisfaction. Med Care, 46(7), 662–667.
Article
Google Scholar
Sprangers, M. A., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: A theoretical model. Soc Sci Med, 48(11), 1507–1515.
Article
CAS
Google Scholar
Arigo, D., Suls, J. M., & Smyth, J. M. (2014). Social comparisons and chronic illness: Research synthesis and clinical implications. Health Psychol Rev, 8(2), 154–214.
Article
Google Scholar
Stanton, A. L., Revenson, T. A., & Tennen, H. (2007). Health psychology: Psychological adjustment to chronic disease. Annu Rev Psychol, 58, 565–592.
Article
Google Scholar
Ubel, P. A., Loewenstein, G., & Jepson, C. (2003). Whose quality of life? A commentary exploring discrepancies between health state evaluations of patients and the general public. Qual Life Res, 12(6), 599–607.
Article
Google Scholar
Sinclair, V. G., & Blackburn, D. S. (2008). Adaptive coping with rheumatoid arthritis: The transforming nature of response shift. Chronic Illn, 4(3), 219–230.
Article
Google Scholar
Rapkin, B. D., & Schwartz, C. E. (2004). Toward a theoretical model of quality-of-life appraisal: Implications of findings from studies of response shift. Health Qual Life Outcomes, 2, 14.
Article
Google Scholar
Schwartz, C. E., & Rapkin, B. D. (2004). Reconsidering the psychometrics of quality of life assessment in light of response shift and appraisal. Health Qual Life Outcomes, 2, 16.
Article
Google Scholar
Roberts, G. (1999). Age effects and health appraisal: A meta-analysis. J Gerontol Ser B Psychol Sci Soc Sci, 54(1), S24–S30.
Article
CAS
Google Scholar
Ubel, P. A., Jankovic, A., Smith, D., Langa, K. M., & Fagerlin, A. (2005). What is perfect health to an 85-year-old?: Evidence for scale recalibration in subjective health ratings. Med Care, 43(10), 1054–1057.
Article
Google Scholar
Sargent-Cox, K. A., Anstey, K. J., & Luszcz, M. A. (2008). Determinants of self-rated health items with different points of reference: Implications for health measurement of older adults. Journal of aging and health, 20(6), 739–761.
Article
Google Scholar
Filus A, Junghaenel DU, Schneider S, Broderick JE, Stone AA. Age effects of frames of reference in self-reports of health, well-being, fatigue and pain. Applied Research in Quality of Life. in press.
Junghaenel, D. U., Broderick, J. E., Schneider, S., May, M., Bolton, A., McCarrier, K. P., et al. (2018). Frames of reference in self-reports of health, well-being, fatigue, and pain: A qualitative examination. Appl Res Qual Life, 13(3), 585–601.
Article
Google Scholar
Schneider, S., & Stone, A. A. (2016). The meaning of vaguely quantified frequency response options on a quality of life scale depends on respondents' medical status and age. Qual Life Res, 25(10), 2511–2521.
Article
Google Scholar
Ware JE, Kosinski M, Dewey JE. How to Score Version 2 of the SF-36 Health Survey. Lincoln, RI: QualityMetric Incorporated; 2000.
Ware, J. E., Jr., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care, 30(6), 473–483.
Article
Google Scholar
Mendoza, T. R., Wang, X. S., Cleeland, C. S., Morrissey, M., Johnson, B. A., Wendt, J. K., et al. (1999). The rapid assessment of fatigue severity in cancer patients: Use of the brief fatigue inventory. Cancer-Am Cancer Soc, 85(5), 1186–1196.
CAS
Google Scholar
Cleeland, C. S., & Ryan, K. M. (1994). Pain assessment: Global use of the brief pain inventory. Ann Acad Med Singap, 23(2), 129–138.
CAS
PubMed
Google Scholar
Cella, D., Lai, J. S., Jensen, S. E., Christodoulou, C., Junghaenel, D. U., Reeve, B. B., et al. (2016). PROMIS fatigue item Bank had clinical validity across diverse chronic conditions. J Clin Epidemiol, 73, 128–134.
Article
Google Scholar
Fayers, P. M., Langston, A. L., & Robertson, C. (2007). Group Pt. implicit self-comparisons against others could bias quality of life assessments. J Clin Epidemiol, 60(10), 1034–1039.
Article
Google Scholar
Guyatt, G. H., Osoba, D., Wu, A. W., Wyrwich, K. W., & Norman, G. R. (2002). Clinical significance consensus meeting G. Methods to explain the clinical significance of health status measures. Mayo Clin Proc, 77(4), 371–383.
Article
Google Scholar