Reducing patient burden to the FACT-Melanoma quality-of-life questionnaire

Melanoma Research

Volumn 22, Issue 2, 2012, Pages 158-163

  Swartz, Richard J ^a   Baum, George P ^b   Askew, Robert L ^b   Palmer, Judy Lynn ^b   Ross, Merrick I ^b   Cormier, Janice N ^b  

^a RICE UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

Functional Assessment of Cancer Therapy Melanoma questionnaire; Item reduction analysis; Respondent burden

Indexed keywords

ARTICLE; CLINICAL PROTOCOL; CONSULTATION; FACTORIAL ANALYSIS; FEMALE; FUNCTIONAL ASSESSMENT OF CANCER THERAPY MELANOMA; HEALTH STATUS; HUMAN; MAJOR CLINICAL STUDY; MALE; MELANOMA; PATIENT BURDEN; PRIORITY JOURNAL; PSYCHOMETRY; QUALITY OF LIFE; QUESTIONNAIRE; RASCH ANALYSIS; RELIABILITY; VALIDITY;

COHORT STUDIES; HUMANS; MELANOMA; PATIENT PARTICIPATION; PATIENT SATISFACTION; PROGNOSIS; PSYCHOMETRICS; QUALITY OF LIFE; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS;

EID: 84859739721     PISSN: 09608931     EISSN: 14735636     Source Type: Journal    
DOI: 10.1097/CMR.0b013e3283511dbf     Document Type: Article

References (27)

1. Langenhoff BS, Krabbe PF, Wobbes T, Ruers TJ. Quality of life as an outcome measure in surgical oncology. Br J Surg 2001; 5:643-652. (Pubitemid 34014630)
2. Turner RR, Quittner AL, Parasuraman BM, Kallich JD, Cleeland CS, et al. Mayo FDA Patient Reported Outcomes Consensus Meeting Group. Patientreported outcomes: instrument development and selection issues. Value Health 2007; 10 (Suppl 2):S86-S93.
3. Webster K, Cella D, Yost K. The Functional Assessment of Chronic Illness Therapy (FACIT) Measurement System: properties, applications, and interpretation. Health Qual Life Outcomes 2003; 1:79.
4. Cella D, Nowinski CJ. Measuring quality of life in chronic illness: the functional assessment of chronic illness therapy measurement system. Arch Phys Med Rehabil 2002; 12 (Suppl 2):S10-S17. (Pubitemid 35424684)
5. Cormier JN, Davidson L, Xing Y,Webster K, Cella D. Measuring quality of life in patients with melanoma: development of the FACT-melanoma subscale. J Support Oncol 2005; 2:139-145. (Pubitemid 40439757)
6. Cormier JN, Ross MI, Gershenwald JE, Lee JE, Masnsfield PF, Camacho LH, et al. Prospective assessment of the reliablity, validity, and responsiveness to change of the Functional Assessment of Cancer Therapy-Melanoma (FACT-Melanoma) questionnaire. Cancer 2008; 10:2249-2257. (Pubitemid 351628636)
7. Science Advisory Committee of the Medical Outcomes Trust. Assessing health status and quality-of-life instruments: attributes and review criteria. Qual Life Res 2002; 3:193-205.
8. Bernhard J, Cella DF, Coates AS, Fallowfield L, Ganz PA, Moinpour CM, et al. Missing quality of life data in cancer clinical trials: serious problems and challenges. Stat Med 1998; 5-7:517-532. (Pubitemid 28118924)
9. Ballatori E. Unsolved problems in evaluating the quality of life of cancer patients. Ann Oncol 2001;S11-S13. (Pubitemid 34026488)
10. Hays RD, Merz JF, Nicholas R. Response burden, reliability, and validity of the CAGE, Short MAST, and AUDIT alcohol screening measures. Behav Res Methods Instrum Comput 1995; 2:277-280.
11. Turk DC, Dworkin RH, Burke LB, Gershon R, Rothman M, Scott J, et al. Developing patient-reported outcome measures for pain clinical trials: IMMPACT recommendations. Pain 2006;208-215. (Pubitemid 44711972)
12. Hu L-T, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equation Model 1999; 1:1-55.
13. MacCallum RC, Kim C, Marlarkey WB, Kiecolt-Glaser JK. Studying multivariate change using multilevel models and latent curve models. Multivariate Behav Res 1997;215-253. (Pubitemid 127337149)
14. Linacre JM. Winsteps (R) (version 3660) [computer software]. Chicago, Illinois Winsteps; 2009.
15. Masters GN. A rasch model for partial credit scoring. Psychometrika 1982; 2:149-174.
16. Wright BD, Stone MH. Best test design. Chicago: University of Chicago Social Research; 1979.
17. Coste J, Guillemin F, Pouchot J, Fermanian J. Methodological approaches to shortening composite measurement scales. J Clin Epidemiol 1997; 3:247-252. (Pubitemid 27165701)
18. De Champlain AF. A primer on classical test theory and item response theory for assessments in medical education. Med Educ 2010; 1:109-117.
19. Andrich D. Rasch models for measurement, Sage University paper series on Quantitative Applications in the Social Sciences, 0-8039. Beverly Hills: Sage Publications; 1988.
20. Baker JG. A comparison of graded response and Rasch partial credit models with subjective well-being. J Educ Behav Stat 2000; 3:253-270.
21. Bond TG. Applying the Rasch model: fundamental measurement in the human sciences. 1st edition. Hove; Psychology Press; 2001.
22. Cole JC, Rabin AS, Smith TL, Kaufman AS. Development and validation of a Rasch-derived CES-D short form. Psychol Assess 2004; 4:360-372. (Pubitemid 39546414)
23. Hays RD, Brown J, Brown LU, Spritzer KL, Crall JJ. Classical test theory and item response theory analyses of multi-item scales assessing parents' perceptions of their children's dental care. Med Care 2006; 11 (Suppl 3):S60-S68. (Pubitemid 44632032)
24. Huang HQ, Brady MF, Cella D, Fleming G. Validation and reduction of FACT/GOG-Ntx subscale for platinum/paclitaxel-induced neurologic symptoms: a gynecologic oncology group study. Int J Gynecol Cancer 2007; 2:387-393. (Pubitemid 46426765)
25. Meads DM, Bentall RP. Rasch analysis and item reduction of the hypomanic personality scale. Pers Indiv Differ 2008; 8:1772-1783.
26. Prieto L, Alonso J, Lamarca R. Classical test theory versus Rasch analysis for quality of life questionnaire reduction. Health Qual Life Outcomes 2003; 1:27.
27. Ulrich CM, Wallen GR, Feister A, Grady C. Respondent burden in clinical research: when are we asking too much of subjects? IRB Ethics Hum Res 2005; 4:17-20. (Pubitemid 41674165)