Literature DB >> 31576157

Health economic evaluation of peritoneal dialysis based on cost-effectiveness in Japan: a preliminary study.

Tomoyuki Takura1, Makoto Hiramatsu2, Hidetomo Nakamoto3, Takahiro Kuragano4, Jun Minakuchi5, Hironori Ishida6, Masaaki Nakayama7, Susumu Takahashi8, Hideki Kawanishi9.   

Abstract

BACKGROUND: In Japan, the medical expenditures associated with dialysis have garnered considerable interest; however, a cost-effectiveness evaluation of peritoneal dialysis (PD) is yet to be evaluated. In particular, the health economics of the "PD first" concept, which can be advantageous for clinical practice and healthcare systems, must be evaluated.
METHODS: This multicenter study investigated the cost-effectiveness of PD. The major effectiveness indicator was quality-adjusted life year (QALY), with a preference-based utility value based on renal function, and the cost indicator was the amount billed for a medical service at each medical institution for qualifying illnesses. In comparison with hemodialysis (HD), a baseline analysis of PD therapy was conducted using a cost-utility analysis (CUA). Continuous ambulatory PD (CAPD) and automated PD (APD) were compared based on the incremental cost-utility ratio (ICUR) and propensity score (PS) with a limited number of cases.
RESULTS: The mean duration since the start of PD was 35.0±14.4 months. The overall CUA for PD (179 patients) was USD 55,019/QALY, which was more cost effective (USD/monthly utility) compared with that for HD for 12-24 months (4,367 vs. 4,852; p<0.05). The CUA reported significantly better results in the glomerulonephritis group than in the other diseases, and the baseline CUA was significantly age sensitive. The utility score was higher in the APD group (mean age, 70.1±3.5 years) than in the CAPD group (mean age, 70.6±4.2 years; 0.987 vs. 0.860; p<0.05, 9 patients). Compared with CAPD, APD had an overall ICUR of USD 126,034/QALY.
CONCLUSION: The cost-effectiveness of PD was potentially good in the elderly and in patients on dialysis for <24 months. Therefore, the prevalence of PD may influence the public health insurance system, particularly when applying the "PD first" concept.
© 2019 Takura et al.

Entities:  

Keywords:  automated peritoneal dialysis; cost-utility analysis; diabetic nephropathy; medical service reimbursement; propensity score; quality-adjusted life year

Year:  2019        PMID: 31576157      PMCID: PMC6768123          DOI: 10.2147/CEOR.S212911

Source DB:  PubMed          Journal:  Clinicoecon Outcomes Res        ISSN: 1178-6981


  30 in total

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Authors:  Maarten A M Jansen; Augustinus A M Hart; Johanna C Korevaar; Friedo W Dekker; Elisabeth W Boeschoten; Raymond T Krediet
Journal:  Kidney Int       Date:  2002-09       Impact factor: 10.612

Review 2.  Intergenerational equity: an exploration of the 'fair innings' argument.

Authors:  A Williams
Journal:  Health Econ       Date:  1997 Mar-Apr       Impact factor: 3.046

Review 3.  The role of economies of scale in the cost of dialysis across the world: a macroeconomic perspective.

Authors:  Akash Nayak Karopadi; Giacomo Mason; Enrico Rettore; Claudio Ronco
Journal:  Nephrol Dial Transplant       Date:  2014-02-09       Impact factor: 5.992

4.  Atorvastatin in patients with type 2 diabetes mellitus undergoing hemodialysis.

Authors:  Christoph Wanner; Vera Krane; Winfried März; Manfred Olschewski; Johannes F E Mann; Günther Ruf; Eberhard Ritz
Journal:  N Engl J Med       Date:  2005-07-21       Impact factor: 91.245

Review 5.  The rule of rescue.

Authors:  John McKie; Jeff Richardson
Journal:  Soc Sci Med       Date:  2003-06       Impact factor: 4.634

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Authors:  Michal L Melamed; Joseph A Eustace; Laura C Plantinga; Bernard G Jaar; Nancy E Fink; Rulan S Parekh; Josef Coresh; Zan Yang; Tom Cantor; Neil R Powe
Journal:  Nephrol Dial Transplant       Date:  2007-12-08       Impact factor: 5.992

7.  Rosuvastatin and cardiovascular events in patients undergoing hemodialysis.

Authors:  Bengt C Fellström; Alan G Jardine; Roland E Schmieder; Hallvard Holdaas; Kym Bannister; Jaap Beutler; Dong-Wan Chae; Alejandro Chevaile; Stuart M Cobbe; Carola Grönhagen-Riska; José J De Lima; Robert Lins; Gert Mayer; Alan W McMahon; Hans-Henrik Parving; Giuseppe Remuzzi; Ola Samuelsson; Sandor Sonkodi; D Sci; Gultekin Süleymanlar; Dimitrios Tsakiris; Vladimir Tesar; Vasil Todorov; Andrzej Wiecek; Rudolf P Wüthrich; Mattis Gottlow; Eva Johnsson; Faiez Zannad
Journal:  N Engl J Med       Date:  2009-03-30       Impact factor: 91.245

8.  The pattern of choosing dialysis modality and related mortality outcomes in Korea: a national population-based study.

Authors:  Hyung Jong Kim; Jung Tak Park; Seung Hyeok Han; Tae-Hyun Yoo; Hyeong-Cheon Park; Shin-Wook Kang; Kyoung Hoon Kim; Dong-Ryeol Ryu; Hyunwook Kim
Journal:  Korean J Intern Med       Date:  2017-06-26       Impact factor: 2.884

9.  Comparative effectiveness of home dialysis therapies: a matched cohort study.

Authors:  Gihad E Nesrallah; Lihua Li; Rita S Suri
Journal:  Can J Kidney Health Dis       Date:  2016-03-20

10.  Cost-effectiveness of hemodialysis and peritoneal dialysis: A national cohort study with 14 years follow-up and matched for comorbidities and propensity score.

Authors:  Yu-Tzu Chang; Jing-Shiang Hwang; Shih-Yuan Hung; Min-Sung Tsai; Jia-Ling Wu; Junne-Ming Sung; Jung-Der Wang
Journal:  Sci Rep       Date:  2016-07-27       Impact factor: 4.379

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