Systematic review of validation studies of the use of administrative data to identify serious infections

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ID: 272836
2013
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Abstract
Algorithms for identifying infections using administrative data should be selected based on the purpose of the study, with careful consideration as to whether a high sensitivity or PPV is required.
Reference Key
c2013arthritissystematic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Barber C;Lacaille D;Fortin PR;;
Journal arthritis care & research
Year 2013
DOI
DOI not found
URL
http://www.ncbi.nlm.nih.gov/pubmed/23335588
Keywords
systematic review National Center for Biotechnology Information NCBI NLM MEDLINE review humans pubmed abstract nih national institutes of health national library of medicine research support non-u.s. gov't algorithms rheumatic diseases / epidemiology* bacterial infections / epidemiology* validation studies as topic pmid:23335588 doi:10.1002/acr.21959 claire barber diane lacaille paul r fortin opportunistic infections / epidemiology

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