Literature DB >> 340947

Predicting treatment costs and life expectancy for end-stage renal disease.

P V Stange, A T Sumner.   

Abstract

To estimate the cumulative 10-year direct medical costs and life expectancy associated with different methods of treatment for end-stage renal disease, we assessed predictively three treatment transition options. It is predicted that if 1000 patients shift from facility to home dialysis for each of 10 years, life expectancy of the cohort will not be reduced, but there will be a reduction of $241 million in total costs. The same number shifting from facility dialysis to cadaveric transplantation are predicted to have a $279 to $330 million reduction in total costs but a reduction of 7 to 17 per cent in life expectancy. Shifting from home dialysis to transplantation is predicted to reduce total costs by +103 to $142 million, and life expectancy by 10 to 20 per cent. As new program policies for treatment of end-stage renal disease are developed, their effect on both costs and life expectancy needs to be considered.

Entities:  

Mesh:

Year:  1978        PMID: 340947     DOI: 10.1056/NEJM197802162980705

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  7 in total

1.  Differences in access to kidney transplantation between Hispanic and non-Hispanic whites by geographic location in the United States.

Authors:  Cristina M Arce; Benjamin A Goldstein; Aya A Mitani; Colin R Lenihan; Wolfgang C Winkelmayer
Journal:  Clin J Am Soc Nephrol       Date:  2013-10-10       Impact factor: 8.237

Review 2.  Cyclosporin: a pharmacoeconomic evaluation of its use in renal transplantation.

Authors:  J E Frampton; D Faulds
Journal:  Pharmacoeconomics       Date:  1993-11       Impact factor: 4.981

3.  Current trends in the treatment of uraemia: a view from the United States.

Authors:  A A Bakir; G Dunea
Journal:  Br Med J       Date:  1979-04-07

Review 4.  The politics of health cost containment: end-stage renal disease.

Authors:  R A Rettig
Journal:  Bull N Y Acad Med       Date:  1980 Jan-Feb

5.  Financial effect of clinical decisions: case study of a dialysis center.

Authors:  E A Balas; L L Hicks; J V Stone; L P Ponferrada; D A West
Journal:  J Med Syst       Date:  1995-12       Impact factor: 4.460

6.  Should women with node-negative breast cancer receive adjuvant chemotherapy?--Insights from a decision analysis model.

Authors:  B E Hillner; T J Smith
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

7.  Rational establishment of air quality standards.

Authors:  D Pearce; G Mooney; R Akehurst; P West
Journal:  Environ Health Perspect       Date:  1983-10       Impact factor: 9.031

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.