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Uma comparação dos custos do transplante renal em relação às diálises no Brasil

Overview of attention for article published in Cadernos de Saúde Pública, January 2016
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Title
Uma comparação dos custos do transplante renal em relação às diálises no Brasil
Published in
Cadernos de Saúde Pública, January 2016
DOI 10.1590/0102-311x00013515
Pubmed ID
Authors

Silvia Brand Silva, Heitor Mansur Caulliraux, Claudia Affonso Silva Araújo, Eduardo Rocha

Abstract

This study aimed to compare the direct medical costs of renal transplantation and renal replacement therapies, specifically hemodialysis and peritoneal dialysis, from the perspective of the Brazilian Unified National Health System (SUS). Renal replacement therapies costs were based on data published in the literature. Cost items for kidney transplant were identified in a private hospital based on procedure codes used for charging the SUS, and other items were taken from the literature. In the four years covered by the study, cadaver kidney transplant generated per-patient savings of BRL 37,000 and BRL 74,000 compared to hemodialysis and peritoneal dialysis, respectively. Savings were even greater with living donor kidney transplant: BRL 46,000 and BRL 82,000 compared to hemodialysis and peritoneal dialysis, respectively. This result, together with survival and quality-of-life analyses, characterizes kidney transplant as the best clinical and financial alternative, thus supporting public policies for organ transplants in Brazil.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 19%
Student > Master 6 11%
Researcher 6 11%
Other 5 9%
Student > Ph. D. Student 3 6%
Other 8 15%
Unknown 16 30%
Readers by discipline Count As %
Nursing and Health Professions 11 20%
Medicine and Dentistry 10 19%
Economics, Econometrics and Finance 5 9%
Neuroscience 2 4%
Mathematics 2 4%
Other 10 19%
Unknown 14 26%