J Korean Soc Transplant.  2010 Sep;24(3):173-181. 10.4285/jkstn.2010.24.3.173.

A Renal Transplantation and Hemodialysis Cost-Utility Analysis in Patients with End-Stage Renal Disease

Affiliations
  • 1Department of Surgery and the Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea.
  • 2National Cancer Control Research Institute, National Cancer Center, Goyang, Korea.
  • 3Severance Hospital Organ Transplant Center, Yonsei University, Gangnam, Korea.
  • 4Severance Hospital Transplant Center, Yonsei University, Seoul, Korea.
  • 5Department of Healthcare Management, College of Medical Science, Soonchunhyang University, Asan, Korea. hmi@sch.ac.kr

Abstract

BACKGROUND
The purpose of this study was to examine the cost-effectiveness of renal transplantation and hemodialysis among end-stage renal disease patients.
METHODS
Empirical data on treatment costs were collected from five hospitals in Korea. We used European Renal Association-European Dialysis and Transplant Association registry data for transition probability. Quality adjusted life year (QALY) values were derived from the literature. A Markov model was used for predicting the cost utility of transplantation and hemodialysis over a 10-year period.
RESULTS
Renal transplantation was less costly and resulted in a better outcome than hemodialysis. The cost per QALY gained was 19,450 thousand won in transplantation patients, whereas it was 36,514 thousand won per QALY gained in hemodialysis patients.
CONCLUSIONS
Although the cost of the first year after transplantation was expensive, transplantation was more effective over 2 years and was less costly than hemodialysis. The results suggest that transplantation is more cost-effective than hemodialysis in Korea.

Keyword

Cost-effectiveness analysis; Cost-utility analysis; Renal transplantation; Hemodialysis; End-stage renal disease (ESRD)

MeSH Terms

Dialysis
Health Care Costs
Humans
Kidney Failure, Chronic
Kidney Transplantation
Korea
Quality-Adjusted Life Years
Renal Dialysis
Transplants

Figure

  • Fig. 1. Schematic representation of a Markov model examining the impact on costs and outcomes of renal transplantation (RTX) versus hemodialysis.

  • Fig. 2. Results of sensitivity analysis by operation cost. a million won. Abbreviation: RTX, renal transplantation.

  • Fig. 3. The cost-effectiveness plane. Adapted from reference [12].


Cited by  1 articles

Quality of Life among End-stage Renal Disease Treatments and Economic Evaluation of Renal Transplantation and Hemodialysis Treatments
Kyung-Ock Jeon, Sun-Young Son, Myung-Il Hahm, Soon-Il Kim
J Korean Soc Transplant. 2015;29(4):200-208.    doi: 10.4285/jkstn.2015.29.4.200.


Reference

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