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Assessing the EORTC QLQ-BM22 Module Using Rasch Modeling and Confirmatory Factor Analysis across Countries: a Comprehensive Psychometric Evaluation in Patients with Bone Metastases

  • Lin, Chung-Ying (Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University) ;
  • Pakpour, Amir H (Social Determinants of Health Research Center, Qazvin University of Medical Sciences)
  • Published : 2016.04.11

Abstract

Background: The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Bone Metastases Module (EORTC QLQ-BM22) is a recently designed supplement to EORTC Quality of Life Questionnaire-C30 (EORTC QLQ-C30). Additional psychometric properties, especially using confirmatory factor analysis (CFA) and the Rasch model, are warranted. Materials and Methods: A total of 573 patients with bone metastases were enrolled from eight countries with a mean${\pm}$SD age of $55.8{\pm}13.7years$. Slightly more than two thirds of them were female (n=383; 66.8%). CFA was used to examine the BM22 framework; Rasch models were applied to understand misfit items and differential item functioning (DIF). Results: The fit indices were satisfactory in CFA (comparative fit index=0.972, Tucker-Lewis index=0.964, root mean square error of approximation=0.076, and standardized root mean square residual=0.045). All items fit well in the Rasch models (mean square values were between 0.5 and 1.5), and only one item (number 17) displayed DIF across gender. However, there were six DIF items across Canada and Taiwan, ten across Canada and Iran, and six across Taiwan and Iran. Conclusions: The BM22 has satisfactory psychometric properties, and could assess the QoL of patients with bone metastases specifically focusing on their symptoms. Clinicians may want to use it to capture the underlying QoL for patients with bone metastases. However, the score of item 17 should be interpreted with caution when comparing male and female patients. In addition, researchers should note that variation in DIF items may occur when conducting an international study.

Keywords

References

  1. Amin L, Rosenbaum P, Barr R, et al (2012). Rasch analysis of the PedsQL: an increased understanding of the properties of a rating scale. J Clin Epidemiol, 65, 1117-23. https://doi.org/10.1016/j.jclinepi.2012.04.014
  2. Binda D, Vanhoutte EK, Cavaletti G, et al (2013). Rasch-built Overall Disability Scale for patients with chemotherapy-induced peripheral neuropathy (CIPN-R-ODS). Eur J Cancer, 49, 2910-8. https://doi.org/10.1016/j.ejca.2013.04.004
  3. Chang CC, Wu TH, Chen CY, et al (2014a). Psychometric evaluation of the internalized stigma of mental illness scale for patients with mental illnesses: measurement invariance across time. PLoS One, 9, 98767. https://doi.org/10.1371/journal.pone.0098767
  4. Chang KC, Wang JD, Tang HP, et al (2014b). Psychometric evaluation, using Rasch analysis, of the WHOQOL-BREF in heroin-dependent people undergoing methadone maintenance treatment: further item validation. Health Qual Life Outcomes, 12, 148. https://doi.org/10.1186/s12955-014-0148-6
  5. Cheng CP, Luh WM, Yang AL, et al (In press). Agreement of children and parents scores on Chinese version of Pediatric Quality of Life Inventory 4.0: further psychometric development. Appl Res Qual Life.
  6. Chow E, Bottomley A (2009). Understanding the EORTC QLQ-BM22, the module for patients with bone metastases. Expert Rev Pharmacoecon Outcomes Res, 9, 461-5. https://doi.org/10.1586/erp.09.50
  7. Chow E, Hoskin P, Mitera G, et al (2012a). Update of the international consensus on palliative radiotherapy endpoints for future clinical trials in bone metastases. Int J Radiat Oncol Biol Phys, 82, 1730-7. https://doi.org/10.1016/j.ijrobp.2011.02.008
  8. Chow E, Nguyen J, Zhang L, et al (2012b). International field testing of the reliability and validity of the EORTC QLQ-BM22 module to assess health-related quality of life in patients with bone metastases. Cancer, 118, 1457-65. https://doi.org/10.1002/cncr.26410
  9. Coleman RE (2000). Management of bone metastases. Oncologist, 5, 463-70. https://doi.org/10.1634/theoncologist.5-6-463
  10. Coleman RE (2006). Clinical features of metastatic bone disease and risk of skeletal morbidity. Clin Cancer Res, 12, 6243-9. https://doi.org/10.1158/1078-0432.CCR-06-0931
  11. Costa L, Badia X, Chow E, et al (2008). Impact of skeletal complications on patients' quality of life, mobility, and functional independence. Support Care Cancer, 16, 879-89. https://doi.org/10.1007/s00520-008-0418-0
  12. DeRoos YS, Allen-Meares P (1993). Rasch analysis. J Soc Serv Res. 161-7.
  13. Dewolf L, Koller M, Velikova G, et al 2009. Translation procedure, brussels, belgium, EORTC Quality of Life Group.
  14. Fayers P, Aaronson NK, Bjordal K, et al 2001. The EORTC QLQC30 Scoring Manual, Brussels, Belgium, European Organization for Research and Treatment of Cancer.
  15. Hobart J, Cano S (2009). Improving the evaluation of therapeutic interventions in multiple sclerosis: the role of new psychometric methods. Health Technol Assess, 13, 1-177.
  16. Jafari P, Bagheri Z, Safe M (2012). Item and response-category functioning of the Persian version of the KIDSCREEN-27: Rasch partial credit model. Health Qual Life Outcomes, 10, 127. https://doi.org/10.1186/1477-7525-10-127
  17. Khan A, Chien CW, Brauer SG (2013). Rasch-based scoring offered more precision in differentiating patient groups in measuring upper limb function. J Clin Epidemiol, 66, 681-7. https://doi.org/10.1016/j.jclinepi.2012.12.014
  18. Kline RB 2005. Principles and practice of structural equation modeling, New York, Guilford Press.
  19. Lai JS, Teresi J, Gershon R (2005). Procedures for the analysis of differential item functioning (DIF) for small sample sizes. Eval Health Prof, 28, 283-94. https://doi.org/10.1177/0163278705278276
  20. Lin CY, Luh WM, Cheng CP, et al (2014). Evaluating the wording effect and psychometric properties of the Kid-KINDL: using the multitrait-multimethod approach. Eur J Psychol Assess, 30, 100-9. https://doi.org/10.1027/1015-5759/a000175
  21. Lin CY, Luh WM, Cheng CP, et al (2013). Measurement equivalence across child self-reports and parent-proxy reports in the Chinese version of the pediatric quality of life inventory version 4.0. Child Psychiatry Hum Dev, 44, 583-90. https://doi.org/10.1007/s10578-012-0352-8
  22. Lin CY, Yang SC, Lai WW, et al (2015). Rasch models suggested the satisfactory psychometric properties of the World Health Organization Quality of Life-Brief among lung cancer patients. J Health Psychol.
  23. Linacre JM, Wright BD 2009. A user's guide to WINSTEPS, chicago, MESA Press.
  24. Puskulluoglu M, Tomaszewski KA, Bottomley A, et al (2014). Validation of the polish version of the EORTC QLQ-BM22 module for the assessment of health-related quality of life in patients with bone metastases. Qual Life Res, 23, 527-32. https://doi.org/10.1007/s11136-013-0486-6
  25. Scott NW, Fayers PM, Aaronson NK, et al (2009). A simulation study provided sample size guidance for differential item functioning (DIF) studies using short scales. J Clin Epidemiol, 62, 288-95. https://doi.org/10.1016/j.jclinepi.2008.06.003
  26. Scott NW, Fayers PM, Aaronson NK, et al (2010). Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression. Health Qual Life Outcomes, 8, 81.
  27. Suhonen R, Schmidt LA, Katajisto J, et al (2013). Cross-cultural validity of the individualised care scale - a rasch model analysis. J Clin Nurs, 22, 648-60.
  28. Yekaninejad MS, Ahmadzadeh A, Mosavi SH, et al (2014). The reliability and validity of the iranian version of the european organization for research and treatment of cancer quality of life questionnaire for patients with bone metastases: the EORTC QLQ-BM22. Expert Rev Pharmacoecon Outcomes Res, 14, 147-56. https://doi.org/10.1586/14737167.2014.864559
  29. Zeng L, Chow E, Bedard G, et al (2012). Quality of life after palliative radiation therapy for patients with painful bone metastases: results of an international study validating the EORTC QLQ-BM22. Int J Radiat Oncol Biol Phys, 84, 337-42.

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