Criteria for evaluating quality of life measurement tools

Sleep and Quality of Life in Clinical Medicine

Volumn , Issue , 2008, Pages 19-28

  Gross, Cynthia R ^a   Wyrwich, Kathleen W ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b SAINT LOUIS UNIVERSITY   (United States)

Author keywords

compute adaptive testing; health related quality of life; item response theory; measurement; minimal important difference; patient burden; patient reported outcomes measurement information system; Quality of life; reliability; sensitivity to change; validity

Indexed keywords

EID: 78650284435     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-60327-343-5_3     Document Type: Chapter

References (31)

1. Katz DA, McHorney CA (2002). The relationship between insomnia and health-related quality of life in patients with chronic illness. J Fam Pract, 51(3), 229-235.
2. Zammit GK, Weiner J, Damato N, Sillup GP, McMillan CA (1999). Quality of life in people with insomnia. Sleep, 22 (Suppl 2), S379-385.
3. Novak M, Mucsi I, Shapiro CM, Rethelyi J, Kopp MS (2004). Increased utilization of health services by insomniacs-An epidemiological perspective. J Psychosom Res, 56(5), 527-536.
4. Walsh JK, Schweitzer PK (1999). Ten-year trends in the pharmacological treatment of insomnia. Sleep, 22(3), 371-375.
5. Colton HR, Altevogt BM (eds.) (2006). Sleep Disorders and Sleep Deprivation: An Unmet Public Health Problem. Washington DC: National Academies Press.
6. Skevington SM, Day R, Chisholm A, Trueman P (2005). How much do doctors use quality of life information in primary care? Testing the trans-Theoretical model of behaviour change. Qual Life Res, 14, 911-922.
7. Morin CM (2003). Measuring outcomes in randomized clinical trials of insomnia treatments. Sleep Med Rev, 7(3), 263-279.
8. McDowell I (2006). Measuring Health: A Guide to Rating Scales and Questionnaires (3rd ed.). New York: Oxford University Press.
9. Streiner DL, Norman GR (2003). Health Measurement Scales: A Practical Guide to Their Use and Development. Oxford: Oxford Medical Publishing.
10. Nunnally JC, Bernstein IH (1994). Psychometric Theory (3rd ed.). New York: McGraw-Hill.
11. Davies L (1992). Instrument review: getting the most from a panel of experts. Appl Nurs Res, 5, 194-197.
12. Cronbach LJ, Meehl P (1959). Construct validity in psychological tests. Am Psychol, 14, 619-629.
13. Fayers PM, Machin D (2007). Quality of Life: Assessment, Analysis and Interpretation of Patient Reported Outcomes (2nd ed.) New York: John Wiley & Sons.
14. Liang MH, Fossel AH, Larson MG (1990). Comparisons of five health status instruments for orthopedic evaluation. Med Care, 28, 632-642.
15. Jones PW, Quirk FH, Baveystock CM (1991). The St. George's Respiratory Questionnaire. Respir Med, 85, 25-31.
16. Cohen J (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
17. Norman GR, Sloan JA, Wyrwich KW (2003). Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation. Med Care, 41(5), 582-592.
18. Chang CH, Reeve BB (2005) Item response theory and its applications to patient-reported outcomes measurement. Eval Health Prof, 28(3), 264-282.
19. Molenaar IW, Sigtsma K (2000). User's Manual MSP5 for Windows. Groningen: The Netherlands ProGAMMA.
20. Stout W (1990). A new item response theory modeling approach with application to unidimensional assessment and ability estimation. Psychometrika, 55, 293-326.
21. Thissen D, Steinberg L (1988). Data-Analysis using item response theory. Psychol Bull, 104(3), 385-395.
22. Cella D, Chang CH (2000). Response to Hays et al. and McHorney and Cohen: a discussion of item response theory and its applications in health status assessment. Med Care, 38 (9 Suppl II), 66-72.
23. What is PROMIS. Available at http://www.nihpromis.org/Web% 20Pages/What%20is%20PROMIS.aspx. Accessed on November 3, 2007.
24. Primary Research Sites-University of Pittsburgh. Available at http://www.nihpromis.org/Web%20Pages/Network%20Structure. aspx. Accessed on November 3, 2007.
25. Kosinski MK, BaylissM, Bjorner JB,Ware JE (2000) Improving estimates of SF-36 R health survey scores for respondents missing data. Medical Outcomes Trust Monitor, 5(1): 8-10.
26. Dorans NJ (2004). Linking Scores from Multiple Instruments. Available at http://outcomes.cancer.gov/conference/irt/dorans.pdf. Accessed on November 3, 2007.
27. Teresi JA (2001). Statistical methods for examination of differential item functioning (DIF) with applications to cross-cultural measurement of functional, physical and mental health. J Ment Health Aging, 7, 31-40.
28. Teresi JA (2004) Differential Item Functioning and Health Assessment. Available at http://outcomes.cancer.gov/conference/irt/teresi.pdf. Accessed on December 17, 2006.
29. Fayers P (2004). IRT: The Way Forward. Available at http://outcomes. cancer.gov/conference/irt/fayers.pdf. Accessed on November 3, 2007.
30. Ware JE (1993). SF-36 Health Survey: Manual and Interpretation Guide. Boston, MA: The Health Institute, New England Medical Center.
31. EQ-5D. (2006). An Instrument to Describe and Value Health. Available at http://www.euroqol.org. Accessed on December 1, 2006.