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Understanding factors that influence the demand for dialysis among elderly in a multi-ethnic Asian society

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  • Finkelstein, Eric Andrew
  • Ozdemir, Semra
  • Malhotra, Chetna
  • Jafar, Tazeen H.
  • Choong Hui Lin, Lina
  • Gan Shien Wen, Sheryl

Abstract

Despite literature suggesting conservative management (CM) is a viable option for elderly comorbid ESRD patients, the vast majority in Singapore receive dialysis. We hypothesized that the high demand for dialysis is driven by 1) lack of knowledge of CM and relative benefits of dialysis to CM, 2) adherence to physician recommendations which favour dialysis, and 3) high subsidies for haemodialysis (HD).

Suggested Citation

  • Finkelstein, Eric Andrew & Ozdemir, Semra & Malhotra, Chetna & Jafar, Tazeen H. & Choong Hui Lin, Lina & Gan Shien Wen, Sheryl, 2018. "Understanding factors that influence the demand for dialysis among elderly in a multi-ethnic Asian society," Health Policy, Elsevier, vol. 122(8), pages 915-921.
    • Handle: RePEc:eee:hepoli:v:122:y:2018:i:8:p:915-921
    DOI: 10.1016/j.healthpol.2018.06.008
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    1. McIntosh, E. & Ryan, M., 2002. "Using discrete choice experiments to derive welfare estimates for the provision of elective surgery: Implications of discontinuous preferences," Journal of Economic Psychology, Elsevier, vol. 23(3), pages 367-382, June.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    3. Semra Özdemir & Ateesha F. Mohamed & F. Reed Johnson & A. Brett Hauber, 2010. "Who pays attention in stated‐choice surveys?," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 111-118, January.
    4. Johnson, F. Reed & Ozdemir, Semra & Phillips, Kathryn A., 2010. "Effects of simplifying choice tasks on estimates of taste heterogeneity in stated-choice surveys," Social Science & Medicine, Elsevier, vol. 70(2), pages 183-190, January.
    5. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
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