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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252750/ http://dx.doi.org/10.1093/ofid/ofy210.1816 |
Sumario: | 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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