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Determination of Weights for Health Related Quality of Life Indicators among Kidney Patients: A Fuzzy Decision Making Method

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Abstract

Health-Related Quality of Life (HRQoL) is one of the significant current discussions in the health fraternity. It encompasses multidimensional indicators and serves the purpose of evaluating health quality among patients. Patients’ perceptions of the impact of disease and treatment and the indicators such as physical, psychological, social function and well being are normally investigated. However there is no clear suggestion of which indicators contributed more than others. The arbitrary nature of HRQoL paves the way for fuzzy theory in evaluation of indicators. This paper describes the application of a fuzzy decision making method in ranking indicators of HRQoL among kidney patients. Four experts in health fraternity were selected as decision makers to elicit information regarding health related status of chronic kidney disease patients over eight HRQoL indicators. The decision makers were required to rate the regularity of experiencing health-related problems in linguistic judgment among the patients. The five linguistics variables were used as input data to a modified version of Fuzzy Simple Additive Weight decision making model. The modified six-step method was possible to tap the extent of decision makers’ opinions on the severity of HRQoL experienced by the patients. It is shown that the indicator of role-physical recorded the lowest problematic level while the indicator of mental health recorded the highest problematic level experienced by the patients. The ranking signifies the impact of the indicators to health quality specifically the chronic kidney disease patients.

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References

  • Barr, L., Thibeault, S. L., Muntz, H., & de Serres, L. (2007). Quality of life in children with velopharyngeal insufficiency. Archives of Otolaryngology - Head & Neck Surgery, 133(3), 224–229.

    Article  Google Scholar 

  • Bowling, A. (1995). What things are important in people’s lives? A survey of the public’s judgments to inform scales of health-related quality of life. Social Science & Medicine, 41(10), 1447–1462.

    Article  Google Scholar 

  • Chang, Y. H., & Yeh, C. H. (2001). Evaluating airline competitiveness using multi attribute decision making. Omega, 29(5), 405–415.

    Article  Google Scholar 

  • Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making. Berlin: Springer-Verlag.

    Google Scholar 

  • Chiou, H. K., Tzeng, G. H., & Cheng, D. C. (2005). Evaluating sustainable fishing development strategies using fuzzy MCDM approach. Omega, 33(3), 223–234.

    Article  Google Scholar 

  • Chou, S. Y., Chang, Y. H., & Shen, C. Y. (2008). A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes. European Journal of Operational Research, 189(1), 132–145.

    Article  Google Scholar 

  • Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. Journal of System Science, 9(6), 613–626.

    Article  Google Scholar 

  • Goodkin, D. A., Mapes, D. L., & Held, P. J. (2001). The dialysis outcomes and practice patterns study (DOPPS): how can we improve the care of hemodialysis patients? Seminars in Dialysis, 14(3), 157–159.

    Article  Google Scholar 

  • Guo, A., Wolfson, M., & Holt, R. G. (2002). Early quality of life benefits of icodextrin in peritoneal dialysis. Kidney International, 62(81), 72–79.

    Article  Google Scholar 

  • Guyatt, G. H., Feeny, D. H., & Patrick, D. L. (1993). Measuring health related quality of life. Annals of Internal Medicine, 118(8), 622–629.

    Google Scholar 

  • Hill, C. D., Edwards, M. C., Thiessen, D., Langer, M. M., Wirth, R. J., Burnwinkle, T. M., et al. (2007). Practical issues in the applications of item response theory: a demonstration using items from the pediatric quality of life inventory (PedsQLTM) 4.0 Generic Core Scales. Medical Care, 45(5), 39–47.

    Article  Google Scholar 

  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making—method and applications, a state-of-the-art survey. New York: Springer-Verlag.

    Google Scholar 

  • Jamal, S. (2010). Protect your kidneys- control diabetes. http://kpdnkk.bernama.com/news.php?id=480569&cat=fe. Accessed on 12 April 2010.

  • Keufmann, A., & Gupta, M. (1991). Introduction to fuzzy arithmetic: Theory and application. New York: Van Nostrand Reinhold.

    Google Scholar 

  • Kimmel, P. L., & Patel, S. S. (2006). Quality of life in patients with chronic kidney disease: focus on end-stage renal disease treated with hemodialysis. Seminars in Nephrology, 26(1), 68–79.

    Article  Google Scholar 

  • Lazim, M. A., & Abu Osman, M. T. (2008). Quality of life index of three selected states in the peninsular malaysia: fuzzy sets approach. International Journal of Ecological Economics and Statistics, 11(08), 90–99.

    Google Scholar 

  • Lazim, M. A., & Abu Osman, M. T. (2009). A new Malaysian quality of life index based on fuzzy sets and hierarchical needs. Social Indicators Research, 94(3), 499–508.

    Article  Google Scholar 

  • Liang, G. S., & Wang, M. J. (1991). A fuzzy multi-citeria decision making method for facility site selection. International Journal of Production Research, 29(11), 2313–2330.

    Article  Google Scholar 

  • Lopes, A. A., Bragg-Gresham, J. L., Satayathum, S., McCullough, K., Pifer, T., Goodkin, D. A., et al. (2003). Health related quality of life and associated outcomes among hemodialysis patients of different ethnicities in the United States: the dialysis outcomes and practice patterns study (DOPPS). American Journal of Kidney Diseases, 41(3), 605–615.

    Article  Google Scholar 

  • McCall, S. (1975). Quality of life. Social Indicators Research, 2, 229–248.

    Article  Google Scholar 

  • National Institutes of Health (2010). Chronic kidney disease and kidney failure. http://www.nih.gov/about/researchresultsforthepublic/kidney.pdf, Accessed on 12 April 2010.

  • Phillips, D. (2006). Quality of life: Concept, policy and practice. Oxon: Routledge.

    Google Scholar 

  • Phuonga, N. H., & Kreinovich, V. (2001). Fuzzy logic and its application in medicine. International Journal of Medical Informatics, 62(2), 165–173.

    Article  Google Scholar 

  • Reyna, V. F. (2008). A theory of medical decision making and health: fuzzy trace theory. Medical Decision Making, 28(6), 850–865.

    Article  Google Scholar 

  • Sharma, D. (2004). Health-related quality of life and its assessment in GI Surgery. Indian Journal of Surgery, 66, 323–325.

    Google Scholar 

  • Torres, A., & Nieto, J. J. (2006). Fuzzy Logic in medicine and bioinformatics. Journal of Biomedicine and Biotechnology, 1–7.

  • Varni, J. W., Christine, A. L., & Tasha, M. B. (2007). Impaired health-related quality of life in children and adolescents with chronic conditions: a comparative analysis of 10 disease clusters and 33 disease categories/severities utilizing the PedsQL™ 4.0 Generic Core Scales. Health and Quality of Life Outcomes, 5, 43.

    Article  Google Scholar 

  • Virvou, M., & Kabassi, K. (2004). Evaluating an intelligent graphical user interface by comparison with human experts. Knowledge-Based Systems, 17(1), 31–37.

    Article  Google Scholar 

  • Ware, J. E., Jr., Kristin, K. S., & Kosinski, M. (1993). SF-36 health survey manual and interpretation guide. Boston: Nimrod Press.

    Google Scholar 

  • Wong, H. B., Machin, D., Tan, S. B., Wong, T. Y., & Saw, S. M. (2009). Visual impairment and its impact to health related quality of life in adolescents. American Journal of Ophthalmology, 147(3), 505–511.

    Article  Google Scholar 

  • Yao, J. S., & Chiang, J. (2003). Inventory without backorder with fuzzy total cost and fuzzy storing cost defuzzified by centroid and signed distance. European Journal of Operational Research, 148, 401–409.

    Article  Google Scholar 

  • Yao, J. S., & Wu, K. (2000). Ranking fuzzy number based on decomposition principle and signed distance. Fuzzy Sets and Systems, 116(2), 275–288.

    Article  Google Scholar 

  • Zadeh, L. A. (1965). Fuzzy set. Information and Control, 8(3), 338–353.

    Article  Google Scholar 

  • Zadeh, K., & Unruh, M. (2005). Health-related quality of life in patients with chronic kidney disease. International Urology and Nephrology, 37(2), 367–378.

    Article  Google Scholar 

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Acknowledgements

The authors thank to the Ministry of Higher Education, Malaysia under the Fundamental Research Grant Scheme, no. 59148 for financing this project.

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Correspondence to Lazim Abdullah.

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Abdullah, L., Jamal, N.J. Determination of Weights for Health Related Quality of Life Indicators among Kidney Patients: A Fuzzy Decision Making Method. Applied Research Quality Life 6, 349–361 (2011). https://doi.org/10.1007/s11482-010-9133-3

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