Dynamic Programming Optimization Model of End-Stage Renal Disease

  • Kejia Wang
  • Xiaoxi Zeng
  • Muhammad Hashim
  • Liming Yao
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 502)


The principal treatments for end stage renal disease (ESRD) are hemodialysis, peritoneal dialysis, and kidney transplantation, all of which have both advantages and disadvantages. The paper firstly quantifies ESRD patients’ pre-treatment quality of life. Then , by using a series of state transition equations, it predicts patients’ values of health-related quality of life (HRQoL) after they follow different treatment plans. Eventually, a dynamic programming model is established to determine the most cost-effective decision scheme.


End-stage renal disease Optimal decision Cost-effective analysis 



The work is supported by the National Natural Science Foundation of China (Grant No. 71301109), the Western and Frontier Region Project of Humanity and Social Sciences Research, Ministry of Education of China (Grant No. 13XJC630018), the Philosophy and Social Sciences Planning Project of Sichuan province (Grant No. SC12BJ05), and the Initial Funding for Young Teachers of Sichuan University (Grant No. 2013SCU11014).


  1. 1.
    Fenton SS, Schaubel DE et al (1997) Hemodialysis versus peritoneal dialysis: a comparison of adjusted mortality rates. Am J Kidney Dis 30(3):334–342CrossRefGoogle Scholar
  2. 2.
    Hays RD, Kallich JD et al (1994) Development of the kidney disease quality of life (KDQOLTM) instrument. Qual Life Res 3(5):329–338CrossRefGoogle Scholar
  3. 3.
    Huang RF, Zhou QL (2009) The clinical decision-making of kidney replacement therapy ways on patients with end stage renal disease. Med Philos 6:52–54 (in Chinese)Google Scholar
  4. 4.
    Lowney AC, Myles HT et al (2015) Understanding what influences the health-related quality of life of hemodialysis patients: a collaborative study in england and ireland. J Pain Symptom Manag 50(6):778–785CrossRefGoogle Scholar
  5. 5.
    Wu HX (2012) A study on measurement of health utility value (in Chinese)Google Scholar
  6. 6.
    Xiao Y, Sui BY, Zhao K (2011) Epidemiological features of the end-stage renal disease and the application, cost and payment of dialysis care in china. China National Health Development Research Center 4Google Scholar
  7. 7.
    Yang F, Griva K et al (2015) Health-related quality of life of asian patients with end-stage renal disease (ESRD) in Singapore. Qual Life Res 24(9):2163–2171CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  • Kejia Wang
    • 1
  • Xiaoxi Zeng
    • 2
  • Muhammad Hashim
    • 3
  • Liming Yao
    • 4
  1. 1.Business SchoolSichuan UniversityChengduPeople’s Republic of China
  2. 2.Department of Nephrology, West China HospitalSichuan UniversityChengduPeople’s Republic of China
  3. 3.Department of Business AdministrationNational Textile UniversityFaisalabadPakistan
  4. 4.Uncertainty Decision-Making LaboratorySichuan UniversityChengduPeople’s Republic of China

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