Applied Research in Quality of Life

, Volume 6, Issue 4, pp 349–361 | Cite as

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

Article

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.

Keywords

Fuzzy sets Fuzzy numbers Health indicators Decision making Kidney patients 

References

  1. 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.CrossRefGoogle Scholar
  2. 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.CrossRefGoogle Scholar
  3. Chang, Y. H., & Yeh, C. H. (2001). Evaluating airline competitiveness using multi attribute decision making. Omega, 29(5), 405–415.CrossRefGoogle Scholar
  4. Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making. Berlin: Springer-Verlag.Google Scholar
  5. Chiou, H. K., Tzeng, G. H., & Cheng, D. C. (2005). Evaluating sustainable fishing development strategies using fuzzy MCDM approach. Omega, 33(3), 223–234.CrossRefGoogle Scholar
  6. 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.CrossRefGoogle Scholar
  7. Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. Journal of System Science, 9(6), 613–626.CrossRefGoogle Scholar
  8. 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.CrossRefGoogle Scholar
  9. Guo, A., Wolfson, M., & Holt, R. G. (2002). Early quality of life benefits of icodextrin in peritoneal dialysis. Kidney International, 62(81), 72–79.CrossRefGoogle Scholar
  10. 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
  11. 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.CrossRefGoogle Scholar
  12. 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
  13. Jamal, S. (2010). Protect your kidneys- control diabetes. http://kpdnkk.bernama.com/news.php?id=480569&cat=fe. Accessed on 12 April 2010.
  14. Keufmann, A., & Gupta, M. (1991). Introduction to fuzzy arithmetic: Theory and application. New York: Van Nostrand Reinhold.Google Scholar
  15. 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.CrossRefGoogle Scholar
  16. 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
  17. 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.CrossRefGoogle Scholar
  18. 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.CrossRefGoogle Scholar
  19. 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.CrossRefGoogle Scholar
  20. McCall, S. (1975). Quality of life. Social Indicators Research, 2, 229–248.CrossRefGoogle Scholar
  21. National Institutes of Health (2010). Chronic kidney disease and kidney failure. http://www.nih.gov/about/researchresultsforthepublic/kidney.pdf, Accessed on 12 April 2010.
  22. Phillips, D. (2006). Quality of life: Concept, policy and practice. Oxon: Routledge.Google Scholar
  23. Phuonga, N. H., & Kreinovich, V. (2001). Fuzzy logic and its application in medicine. International Journal of Medical Informatics, 62(2), 165–173.CrossRefGoogle Scholar
  24. Reyna, V. F. (2008). A theory of medical decision making and health: fuzzy trace theory. Medical Decision Making, 28(6), 850–865.CrossRefGoogle Scholar
  25. Sharma, D. (2004). Health-related quality of life and its assessment in GI Surgery. Indian Journal of Surgery, 66, 323–325.Google Scholar
  26. Torres, A., & Nieto, J. J. (2006). Fuzzy Logic in medicine and bioinformatics. Journal of Biomedicine and Biotechnology, 1–7.Google Scholar
  27. 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.CrossRefGoogle Scholar
  28. Virvou, M., & Kabassi, K. (2004). Evaluating an intelligent graphical user interface by comparison with human experts. Knowledge-Based Systems, 17(1), 31–37.CrossRefGoogle Scholar
  29. Ware, J. E., Jr., Kristin, K. S., & Kosinski, M. (1993). SF-36 health survey manual and interpretation guide. Boston: Nimrod Press.Google Scholar
  30. 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.CrossRefGoogle Scholar
  31. 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.CrossRefGoogle Scholar
  32. Yao, J. S., & Wu, K. (2000). Ranking fuzzy number based on decomposition principle and signed distance. Fuzzy Sets and Systems, 116(2), 275–288.CrossRefGoogle Scholar
  33. Zadeh, L. A. (1965). Fuzzy set. Information and Control, 8(3), 338–353.CrossRefGoogle Scholar
  34. Zadeh, K., & Unruh, M. (2005). Health-related quality of life in patients with chronic kidney disease. International Urology and Nephrology, 37(2), 367–378.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V./The International Society for Quality-of-Life Studies (ISQOLS) 2010

Authors and Affiliations

  1. 1.Department of Mathematics, Faculty of Science and TechnologyUniversity of Malaysia TerengganuKuala TerengganuMalaysia

Personalised recommendations