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Use of Electronic Surveillance to Drive Improvement in Hospital Infection Rates

Published online by Cambridge University Press:  02 January 2015

Rosa R. Baier
Affiliation:
Healthcentric Advisors, Providence, Rhode Island; and Warren Alpert Medical School of Brown University, Providence, Rhode, Island
Stefan Gravenstein*
Affiliation:
Healthcentric Advisors, Providence, Rhode Island; and Warren Alpert Medical School of Brown University, Providence, Rhode, Island
*
Healthcentric Advisors, 235 Promenade Street, Suite 500, Box 18, Providence, RI 02908 ([email protected])

Abstract

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Type
Commentary
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2012

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References

1.Palumbo, AJ, Loveless, PA, Moll, ME, Ostroff, S. Evaluation of healthcare-associated infection surveillance in Pennsylvania hospitals. Infect Control Hosp Epidemiol 2012;33(2):105111 (in this issue).Google Scholar
2.Baier, R, Butterfield, K, Patry, G, Harris, Y, Gravenstein, S. Identifying star performers: the relationship between ambitious targets and nursing home quality improvement. J Am Geriatr Soc 2009;57(8):14981503.CrossRefGoogle ScholarPubMed
3.Baier, RR, Butterfield, K, Harris, Y, Gravenstein, S. Aiming for star performance: the relationship between setting targets and improved nursing home quality of care. J Am Med Dir Assoc 2008;9(8):594598.CrossRefGoogle ScholarPubMed
4.University of Alabama at Birmingham. Achievable Benchmarks of Care (ABC): User Manual. http://main.uab.edu/show.asp?durki=11311. Accessed October 30, 2011.Google Scholar
5.Medicare program; proposed changes to the hospital inpatient prospective payment systems for acute care hospitals and the long-term care hospital prospective payment system and fiscal year 2012 rates, 76 Federal Register 25788 (2011). http://www.federalregister.gov/articles/2011/05/05/2011-9644/medicare-program-proposed-changes-to-the-hospital-inpatient-prospective-payment-systems-for-acute. Accessed October 28, 2011.Google Scholar
6.Stamper, PD, Alcabasa, R, Aird, D, et al. Comparison of a commercial real-time PCR assay for tcdB detection to a cell culture cytotoxicity assay and toxigenic culture for direct detection of toxin-producing Clostridium difficile in clinical samples. J Clin Microbiol 2009;47(2):373378.CrossRefGoogle ScholarPubMed
7.Tenover, FC, Novak-Weekly, S, Woods, CW, et al. Impact of strain type on detection of toxigenic Clostridium difficile: comparison of molecular diagnostic and enzyme immunoassay approaches. J Clin Microbiol 2010;48(10):37193724.CrossRefGoogle ScholarPubMed
8.Chapin, KC, Dickenson, RA, Andrea, SB. Comparison of five assays for detection of Clostridium difficile toxin. J Mol Diagn 2011:13(4):395400.CrossRefGoogle ScholarPubMed