Implementing Automated Surveillance for Tracking Clostridium difficile Infection at Multiple Healthcare Facilities
Supporting Files
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Jan 19 2012
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File Language:
English
Details
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Alternative Title:Infect Control Hosp Epidemiol
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Personal Author:
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Corporate Authors:
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Description:Automated surveillance using electronically available data has been found to be accurate and save time. An automated Clostridium difficile infection (CDI) surveillance algorithm was validated at 4 Centers for Disease Control and Prevention Epicenter hospitals. Electronic surveillance was highly sensitive, specific, and showed good to excellent agreement for hospital-onset; community-onset, study facility-associated; indeterminate; and recurrent CDI.
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Subjects:
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Source:Infect Control Hosp Epidemiol. 33(3):305-308.
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Pubmed ID:22314071
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Pubmed Central ID:PMC3649760
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Document Type:
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Funding:5U01C1000333/PHS HHS/United States ; 5U01CI000328/CI/NCPDCID CDC HHS/United States ; 5U01CI000334/CI/NCPDCID CDC HHS/United States ; 5U01CI000344/CI/NCPDCID CDC HHS/United States ; K01AI065808/AI/NIAID NIH HHS/United States ; K23 AI065806/AI/NIAID NIH HHS/United States ; K23AI065806/AI/NIAID NIH HHS/United States ; K24AI06779401/AI/NIAID NIH HHS/United States ; L30 AI062141/AI/NIAID NIH HHS/United States ; UR8/CCU715087-06/1/PHS HHS/United States
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Name as Subject:
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Place as Subject:
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Volume:33
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Issue:3
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Collection(s):
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Main Document Checksum:urn:sha256:87c671046ac260a45b343d47b27e441c0dd3fbb413b4bd9f0d80fd256f93437a
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Download URL:
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File Type:
Supporting Files
File Language:
English
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