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Improving Indicators in a Brazilian Hospital Through Quality-Improvement Programs Based on STS Database Reports

Overview of attention for article published in Revista Brasileira de Cirurgia Cardiovascular, January 2015
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Title
Improving Indicators in a Brazilian Hospital Through Quality-Improvement Programs Based on STS Database Reports
Published in
Revista Brasileira de Cirurgia Cardiovascular, January 2015
DOI 10.5935/1678-9741.20150075
Pubmed ID
Authors

Pedro Gabriel Melo de Barros e Silva, Antônio Claudio do Amaral Baruzzi, Denise Louzada Ramos, Mariana Yumi Okada, José Carlos Teixeira Garcia, Fernanda de Andrade Cardoso, Marcelo Jamus Rodrigues, Valter Furlan

Abstract

To report the initial changes after quality-improvement programs based on STS-database in a Brazilian hospital. Since 2011 a Brazilian hospital has joined STS-Database and in 2012 multifaceted actions based on STS reports were implemented aiming reductions in the time of mechanical ventilation and in the intensive care stay and also improvements in evidence-based perioperative therapies among patients who underwent coronary artery bypass graft surgeries. All the 947 patients submitted to coronary artery bypass graft surgeries from July 2011 to June 2014 were analyzed and there was an improvement in all the three target endpoints after the implementation of the quality-improvement program but the reduction in time on mechanical ventilation was not statistically significant after adjusting for prognostic characteristics. The initial experience with STS registry in a Brazilian hospital was associated with improvement in most of targeted quality-indicators.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 29%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Other 7 20%
Unknown 7 20%
Readers by discipline Count As %
Medicine and Dentistry 14 40%
Nursing and Health Professions 3 9%
Engineering 2 6%
Agricultural and Biological Sciences 2 6%
Business, Management and Accounting 1 3%
Other 6 17%
Unknown 7 20%