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REFERENCES

  • 1
    Fayers PM, Machin D. Quality of life: assessment, analysis, and interpretation. New York: Wiley; 2000.
  • 2
    Spilker B. Quality of life and pharmacoeconomics in clinical trials. Philadelphia: Lippincott-Raven; 1996.
  • 3
    Varni JW, Seid M, Kurtin PS. Pediatric health-related quality of life measurement technology: a guide for health care decision makers. J Clin Outcomes Manage. 1999; 6: 3340.
  • 4
    Smith KW, Avis NE, Assmann SF. Distinguishing between quality of life and health status in quality of life research: a meta-analysis. Q Life Res. 1999; 8: 447459.
  • 5
    World Health Organization. Constitution of the World Health Organization basic document. Geneva: World Health Organization; 1948.
  • 6
    Mulhern RK, Ochs J, Armstrong D, et al. Assessment of quality of life among pediatric patients with cancer. Psychol Assess. 1989; 1: 130138.
  • 7
    Bradlyn AS, Ritchey AK, Harris CV, et al. Quality of life research in pediatric oncology: research methods and barriers. Cancer. 1996; 78: 13331339.
  • 8
    Hockenberry-Eaton M, Hinds PS. Fatigue in children and adolescents with cancer: evolution of a program of study. Semin Oncol Nurs. 2000; 16: 261272.
  • 9
    Varni JW, Katz ER, Colegrove R, Dolgin M. Adjustment of children with newly diagnosed cancer: cross-informant variance. J Psychosoc Oncol. 1995; 13: 2338.
  • 10
    Achenbach TM, McConaughy SH, Howell CT. Child/adolescent behavioral and emotional problems: implications of cross-informant correlations for situational specificity. Psychol Bull. 1987; 101: 213232.
  • 11
    Guyatt GH, Juniper EF, Griffith LE, Feeny DH, Ferry PJ. Children and adult perceptions of childhood asthma. Pediatrics. 1997; 99: 165168.
  • 12
    Czyzewski DI, Mariotto MJ, Bartholomew K, LeCompte SH, Sockrider MM. Measurement of quality of well being in a child and adolescent cystic fibrosis population. Med Care. 1994; 32: 965972.
  • 13
    Langeveld JH, Koot HM, Loonen MCB, Hazebroek-Kampschreur AAJM, Passchier J. A quality of life instrument for adolescents with chronic headache. Cephalalgia. 1996; 16: 183196.
  • 14
    Varni JW, Setoguchi Y. Screening for behavioral and emotional problems in children and adolescents with congenital or acquired limb deficiencies. Am J Dis Child. 1992; 146: 103107.
  • 15
    Varni JW, Katz ER, Seid M, Quiggins DJL, Friedman-Bender A, Castro CM. The Pediatric Cancer Quality of Life Inventory (PCQL), I: instrument development, descriptive statistics, and cross-informant variance. J Behav Med. 1998; 21: 179204.
  • 16
    Varni JW, Katz ER, Seid M, Quiggins DJL, Friedman-Bender A. The Pediatric Cancer Quality of Life Inventory-32 (PCQL-32), I: reliability and validity. Cancer. 1998; 82: 11841196.
  • 17
    Varni JW, Rode CA, Seid M, Katz ER, Friedman-Bender A, Quiggins DJL. The Pediatric Cancer Quality of Life Inventory-32 (PCQL-32), II: feasibility and range of measurement. J Behav Med. 1999; 22: 397406.
  • 18
    Varni JW, Quiggins DJL, Ayala GX. Development of the Pediatric Hematology/Oncology Parent Satisfaction survey. Child Health Care. 2000; 29: 243255.
  • 19
    Varni JW, Seid M, Rode CA. The PedsQL™: measurement model for the Pediatric Quality of Life Inventory™. Med Care. 1999; 37: 126139.
  • 20
    Varni JW, Seid M, Kurtin PS. The PedsQL™ 4.0: reliability and validity of the Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales in healthy and patient populations. Med Care. 2001; 39: 800812.
  • 21
    Sprangers MAG, Cull A, Bjordal K, Groenvold M, Aaronson NK. The European Organization for Research and Treatment of Cancer approach to quality of life assessment: guidelines for developing questionnaire modules. Qual Life Res. 1993; 2: 287295.
  • 22
    Cella D. The Functional Assessment of Cancer Therapy–Anemia (FACT-AN) Scale: a new tool for the assessment of outcomes in cancer anemia and fatigue. Semin Hematol. 1997; 34: 1319.
  • 23
    Hann DM, Jacobsen PB, Azzarello LM, et al. Measurement of fatigue in cancer patients: development and validation of the Fatigue Symptom Inventory. Qual Life Res. 1998; 7: 301310.
  • 24
    Smets EMA, Garssen B, Bonke B, De Haes JCJM. The Multidimensional Fatigue Inventory (MFI): psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995; 39: 315325.
  • 25
    Stein KD, Martin SC, Hann DM, Jacobsen PB. A multidimensional measure of fatigue for use with cancer patients. Cancer Pract. 1998; 6: 143152.
  • 26
    Okuyama T, Akechi T, Kugaya A, et al. Development and validation of the Cancer Fatigue Scale: a brief, three-dimensional, self-rating scale for assessment of fatigue in cancer patients. J Pain Symptom Manage. 2000; 19: 514.
  • 27
    Hockenberry-Eaton M, Hinds PS, Alcoser P, et al. Fatigue in children and adolescents with cancer. J Pediatr Oncol Nurs. 1998; 15: 172182.
  • 28
    Hollingshead AB. Four factor index of social status. New Haven, CT: Yale University; 1975.
  • 29
    Varni JW, Thompson KL, Hanson V. The Varni/Thompson Pediatric Pain Questionnaire, I: chronic musculoskeletal pain in juvenile rheumatoid arthritis. Pain. 1987; 28: 2738.
  • 30
    Varni JW, Waldron SA, Gragg RA, et al. Development of the Waldron/Varni Pediatric Pain Coping Inventory. Pain. 1996; 67: 141150.
  • 31
    Thompson KL, Varni JW. A developmental cognitive-biobehavioral approach to pediatric pain assessment. Pain. 1986; 25: 282296.
  • 32
    Fairclough DL, Cella DF. Functional Assessment of Cancer Therapy (FACT-G): non-response to individual questions. Qual Life Res. 1996; 5: 321329.
  • 33
    Aday LA. Designing and conducting health surveys: a comprehensive guide. San Francisco: Jossey-Bass; 1996.
  • 34
    Fowler FJ Jr. Improving survey questions: design and evaluation. Thousand Oaks, CA: Sage; 1995.
  • 35
    Schwarz N, Sudman N. Answering questions: methodology for determining cognitive and communicative processes in survey research. San Francisco: Jossey-Bass; 1996.
  • 36
    McHorney CA, Ware JE, Lu JFR, Sherbourne CD. The MOS 36-item short-form health survey (SF-36), III: tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994; 32: 4066.
  • 37
    Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951; 16: 297334.
  • 38
    Nunnally JC, Bernstein IR. Psychometric theory. 3rd ed. New York: McGraw-Hill; 1994.
  • 39
    Pedhazur EJ, Schmelkin LP. Measurement, design, and analysis: an integrated approach. Hillsdale, NJ: Erlbaum; 1991.
  • 40
    McHorney CA, Ware JE, Raczek AE. The MOS 36-item short-form health survey (SF-36), II: psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care. 1993; 31: 247263.
  • 41
    McHorney CA, Ware JE, Rogers W, Raczek AE, Lu JFR. The validity and relative precision of MOS short- and long-form health status scales and Dartmouth COOP charts: results from the Medical Outcomes Study. Med Care. 1992; 30: MS253MS265.
  • 42
    Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Erlbaum, 1988.
  • 43
    SPSS. SPSS 8.0 for Windows, Chicago: SPSS, Inc.; 1998.
  • 44
    Blazeby JM, Williams MH, Alderson D, Farndon JR. Observer variation in assessment of quality of life in patients with oesophageal cancer. Br J Surg. 1995; 82: 12001203.
  • 45
    Guyatt G, Feeny D, Patrick D. Issues of quality-of-life measurement in clinical trials. Controlled Clin Trials. 1991; 12: 81S90S.
  • 46
    Wallander JL, Varni JW. Effects of pediatric chronic physical disorders on child and family adjustment. J of Child Psych Psychiatry. 1998; 39: 2946.