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2160. Benchmarking Healthcare-Associated Infections for Prevention in Developing Countries

BACKGROUND: Applying benchmarks from high resource countries on low resource countries may result in misleading conclusions, thus improvements can be made in order to refine the precision of external benchmarks in developing countries. METHODS: The NOIS Project uses SACIH software to retrieve data f...

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Autores principales: Souza, Gregory Lauar E, De Carvalho, Handerson Dias Duarte, De Deus Martins Oliveira, Cristóvão, Do Nascimento Silveira, Andressa, Couto, Bráulio, Leite, Edna, Silva, Estevão, Starling, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252750/
http://dx.doi.org/10.1093/ofid/ofy210.1816
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author Souza, Gregory Lauar E
De Carvalho, Handerson Dias Duarte
De Deus Martins Oliveira, Cristóvão
Do Nascimento Silveira, Andressa
Couto, Bráulio
Leite, Edna
Silva, Estevão
Starling, Carlos
author_facet Souza, Gregory Lauar E
De Carvalho, Handerson Dias Duarte
De Deus Martins Oliveira, Cristóvão
Do Nascimento Silveira, Andressa
Couto, Bráulio
Leite, Edna
Silva, Estevão
Starling, Carlos
author_sort Souza, Gregory Lauar E
collection PubMed
description BACKGROUND: Applying benchmarks from high resource countries on low resource countries may result in misleading conclusions, thus improvements can be made in order to refine the precision of external benchmarks in developing countries. METHODS: The NOIS Project uses SACIH software to retrieve data from different hospitals at Belo Horizonte, Brazil. The hospitals use prospective Healthcare-Associated Infections—HAI surveillance according to the NHSN/CDC protocols. The objective is to calculate benchmarks for HAI rates from intensive care units, ICU, and surgical procedures. Benchmarks were defined as the 10 percentile and 90 percentile, considering data from 11 hospitals and 13 ICUs, collected between 2013 and 2017. RESULTS: Hospital-wide and ICUs benchmarks: HAI risk [1.5%; 4.7%]; HAI incidence per 1,000 patient-days [4.4; 12.6]; ICU infection risk [4.0%; 23.8%]; ICU incidence density rate of HAI per 1,000 patient-days [10.8; 35.7]; risk of urinary catheter-associated urinary tract infections[0.0%; 6.3%]; incidence density rate of urinary catheter-associated urinary tract infections per 1,000 urinary catheter-days [0.0; 9.4]; risk of central line-associated primary bloodstream infections [0.0%; 10.3%]; incidence density rate of central line-associated primary bloodstream infections per 1,000 central line-days [0; 16]; risk of ventilator associated pneumonia [0.0%; 13.5%]; incidence density rate of ventilator associated pneumonia per 1,000 ventilator-days [0.0; 20.6]. Surgical site infection benchmarks: Cesarean section [0,6%;0,9%]; open reduction of fracture [3,3%;3,9%]; Gallbladder surgery [0,7%;1%]; herniorrhaphy [1,1%;1,6%]; peripheral vascular bypass surgery [0,6%;1%]; gastric surgery [1,7%;2,4%]; appendix surgery [1,1%;1,8%]; colon surgery [3,0%;4,1%]; exploratory abdominal surgery [4,1%;5,3%]; craniotomy [5%;6,5%]; abdominal hysterectomy [0,7%;1,4%]; limb amputation [4,1%;6,1%]; thoracic surgery [0,8%;1,5%]; hip prosthesis [3%;4,3%]; knee prosthesis [2,3%;3,5%]; pacemaker surgery [1,9%;3,1,0%]; breast surgery [0,3%;0,9%]; bile duct, liver or pancreatic surgery [7%;11%]; ventricular shunt [3,3%;6,5%]. CONCLUSION: The benchmarks proposed can be used by infection preventionists that decide to monitor selected surgical procedures and/or ICUs, especially in developing countries. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62527502018-11-28 2160. Benchmarking Healthcare-Associated Infections for Prevention in Developing Countries Souza, Gregory Lauar E De Carvalho, Handerson Dias Duarte De Deus Martins Oliveira, Cristóvão Do Nascimento Silveira, Andressa Couto, Bráulio Leite, Edna Silva, Estevão Starling, Carlos Open Forum Infect Dis Abstracts BACKGROUND: Applying benchmarks from high resource countries on low resource countries may result in misleading conclusions, thus improvements can be made in order to refine the precision of external benchmarks in developing countries. METHODS: The NOIS Project uses SACIH software to retrieve data from different hospitals at Belo Horizonte, Brazil. The hospitals use prospective Healthcare-Associated Infections—HAI surveillance according to the NHSN/CDC protocols. The objective is to calculate benchmarks for HAI rates from intensive care units, ICU, and surgical procedures. Benchmarks were defined as the 10 percentile and 90 percentile, considering data from 11 hospitals and 13 ICUs, collected between 2013 and 2017. RESULTS: Hospital-wide and ICUs benchmarks: HAI risk [1.5%; 4.7%]; HAI incidence per 1,000 patient-days [4.4; 12.6]; ICU infection risk [4.0%; 23.8%]; ICU incidence density rate of HAI per 1,000 patient-days [10.8; 35.7]; risk of urinary catheter-associated urinary tract infections[0.0%; 6.3%]; incidence density rate of urinary catheter-associated urinary tract infections per 1,000 urinary catheter-days [0.0; 9.4]; risk of central line-associated primary bloodstream infections [0.0%; 10.3%]; incidence density rate of central line-associated primary bloodstream infections per 1,000 central line-days [0; 16]; risk of ventilator associated pneumonia [0.0%; 13.5%]; incidence density rate of ventilator associated pneumonia per 1,000 ventilator-days [0.0; 20.6]. Surgical site infection benchmarks: Cesarean section [0,6%;0,9%]; open reduction of fracture [3,3%;3,9%]; Gallbladder surgery [0,7%;1%]; herniorrhaphy [1,1%;1,6%]; peripheral vascular bypass surgery [0,6%;1%]; gastric surgery [1,7%;2,4%]; appendix surgery [1,1%;1,8%]; colon surgery [3,0%;4,1%]; exploratory abdominal surgery [4,1%;5,3%]; craniotomy [5%;6,5%]; abdominal hysterectomy [0,7%;1,4%]; limb amputation [4,1%;6,1%]; thoracic surgery [0,8%;1,5%]; hip prosthesis [3%;4,3%]; knee prosthesis [2,3%;3,5%]; pacemaker surgery [1,9%;3,1,0%]; breast surgery [0,3%;0,9%]; bile duct, liver or pancreatic surgery [7%;11%]; ventricular shunt [3,3%;6,5%]. CONCLUSION: The benchmarks proposed can be used by infection preventionists that decide to monitor selected surgical procedures and/or ICUs, especially in developing countries. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6252750/ http://dx.doi.org/10.1093/ofid/ofy210.1816 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Souza, Gregory Lauar E
De Carvalho, Handerson Dias Duarte
De Deus Martins Oliveira, Cristóvão
Do Nascimento Silveira, Andressa
Couto, Bráulio
Leite, Edna
Silva, Estevão
Starling, Carlos
2160. Benchmarking Healthcare-Associated Infections for Prevention in Developing Countries
title 2160. Benchmarking Healthcare-Associated Infections for Prevention in Developing Countries
title_full 2160. Benchmarking Healthcare-Associated Infections for Prevention in Developing Countries
title_fullStr 2160. Benchmarking Healthcare-Associated Infections for Prevention in Developing Countries
title_full_unstemmed 2160. Benchmarking Healthcare-Associated Infections for Prevention in Developing Countries
title_short 2160. Benchmarking Healthcare-Associated Infections for Prevention in Developing Countries
title_sort 2160. benchmarking healthcare-associated infections for prevention in developing countries
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252750/
http://dx.doi.org/10.1093/ofid/ofy210.1816
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