Determination of Weights for Health Related Quality of Life Indicators among Kidney Patients: A Fuzzy Decision Making Method
Purchase on Springer.com
$39.95 / €34.95 / £29.95*
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.
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.
- 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. CrossRef
- 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. CrossRef
- Chang, Y. H., & Yeh, C. H. (2001). Evaluating airline competitiveness using multi attribute decision making. Omega, 29(5), 405–415. CrossRef
- Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making. Berlin: Springer-Verlag.
- Chiou, H. K., Tzeng, G. H., & Cheng, D. C. (2005). Evaluating sustainable fishing development strategies using fuzzy MCDM approach. Omega, 33(3), 223–234. CrossRef
- 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. CrossRef
- Dubois, D., & Prade, H. (1978). Operations on fuzzy numbers. Journal of System Science, 9(6), 613–626. CrossRef
- 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. CrossRef
- Guo, A., Wolfson, M., & Holt, R. G. (2002). Early quality of life benefits of icodextrin in peritoneal dialysis. Kidney International, 62(81), 72–79. CrossRef
- Guyatt, G. H., Feeny, D. H., & Patrick, D. L. (1993). Measuring health related quality of life. Annals of Internal Medicine, 118(8), 622–629.
- 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. CrossRef
- Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making—method and applications, a state-of-the-art survey. New York: Springer-Verlag.
- 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.
- 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. CrossRef
- 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.
- 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. CrossRef
- 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. CrossRef
- 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. CrossRef
- McCall, S. (1975). Quality of life. Social Indicators Research, 2, 229–248. CrossRef
- 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.
- Phuonga, N. H., & Kreinovich, V. (2001). Fuzzy logic and its application in medicine. International Journal of Medical Informatics, 62(2), 165–173. CrossRef
- Reyna, V. F. (2008). A theory of medical decision making and health: fuzzy trace theory. Medical Decision Making, 28(6), 850–865. CrossRef
- Sharma, D. (2004). Health-related quality of life and its assessment in GI Surgery. Indian Journal of Surgery, 66, 323–325.
- 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. CrossRef
- Virvou, M., & Kabassi, K. (2004). Evaluating an intelligent graphical user interface by comparison with human experts. Knowledge-Based Systems, 17(1), 31–37. CrossRef
- Ware, J. E., Jr., Kristin, K. S., & Kosinski, M. (1993). SF-36 health survey manual and interpretation guide. Boston: Nimrod Press.
- 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. CrossRef
- 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. CrossRef
- Yao, J. S., & Wu, K. (2000). Ranking fuzzy number based on decomposition principle and signed distance. Fuzzy Sets and Systems, 116(2), 275–288. CrossRef
- Zadeh, L. A. (1965). Fuzzy set. Information and Control, 8(3), 338–353. CrossRef
- Zadeh, K., & Unruh, M. (2005). Health-related quality of life in patients with chronic kidney disease. International Urology and Nephrology, 37(2), 367–378. CrossRef
- Determination of Weights for Health Related Quality of Life Indicators among Kidney Patients: A Fuzzy Decision Making Method
Applied Research in Quality of Life
Volume 6, Issue 4 , pp 349-361
- Cover Date
- Print ISSN
- Online ISSN
- Springer Netherlands
- Additional Links
- Fuzzy sets
- Fuzzy numbers
- Health indicators
- Decision making
- Kidney patients