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    Use of surveillance data for prevention of healthcare-associated infection: risk adjustment and reporting dilemmas.

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    Authors
    O'Neill, Eoghan
    Humphreys, Hilary
    Affiliation
    Department of Clinical Microbiology, Royal College of Surgeons in Ireland, Dublin, Ireland.
    Issue Date
    2009-08
    MeSH
    Cross Infection
    Disease Notification
    Health Facilities
    Humans
    Risk Adjustment
    Sentinel Surveillance
    United States
    
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    Citation
    Use of surveillance data for prevention of healthcare-associated infection: risk adjustment and reporting dilemmas. 2009, 22 (4):359-63 Curr. Opin. Infect. Dis.
    Journal
    Current opinion in infectious diseases
    URI
    http://hdl.handle.net/10147/127664
    DOI
    10.1097/QCO.0b013e32832d04c0
    PubMed ID
    19474727
    Abstract
    Healthcare-associated or nosocomial infection (HCAI) is of increasing importance to healthcare providers and the public. Surveillance is crucial but must be adjusted for risk, especially when used for interhospital comparisons or for public reporting.
    Surveillance data are increasingly adjusted for risk factors for HCAI if meaningful comparisons are made between institutions or across national boundaries. Postdischarge surveillance is important in detecting those infections that may not present to the institution in which the original procedure occurred. Caution is urged when comparing data from two sources, for example, an active surveillance program and administrative datasets. The public reporting of HCAI rates can assist in improving the quality of healthcare, but to date there is little evidence that this is happening. In the United States, a number of states have introduced mandatory reporting of HCAIs, but there is considerable variation in what data are released, how these are reported and the rigor of the validation of the dataset.
    The consumerization of healthcare requires a response from healthcare providers to engage with the public on how, when and what risk-adjusted surveillance data to release. Information campaigns are required to ensure the public understand any publicly released data and its limitations.
    Item Type
    Article
    Language
    en
    ISSN
    1535-3877
    ae974a485f413a2113503eed53cd6c53
    10.1097/QCO.0b013e32832d04c0
    Scopus Count
    Collections
    Beaumont Hospital

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