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Using Oral Vancomycin Prescriptions as a Proxy Measure for Clostridium difficile Infections: A Spatial and Time Series Analysis

Published online by Cambridge University Press:  02 January 2015

Philip M. Polgreen*
Affiliation:
Division of Infectious Diseases, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, Iowa Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa
Ming Yang
Affiliation:
Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa
Jennifer L. Kuntz
Affiliation:
Kaiser Permanente Northwest, Center for Health Research, Portland, Oregon
Ramanan Laxminarayan
Affiliation:
Center for Disease Dynamics, Economics, and Policy, Washington DC; Princeton University, Princeton, New Jersey; and Public Health Foundation of India, New Delhi
Joseph E. Cavanaugh
Affiliation:
Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa
*
Division of Infectious Diseases, Department of Internal Medicine, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242 (philip-polgreen@uiowa.edu)

Extract

Sales for a drug may be correlated with the prevalence of a condition treated by the drug. We found that state data revealed a strong spatial association and national data a strong temporal association between Clostridium difficile and oral vancomycin prescription sales, suggesting a new “signal” for detecting disease activity.

Type
Concise Communication
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2011

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References

1.Proctor, ME, Blair, KA, Davis, JP. Surveillance data for waterborne illness detection: an assessment following a massive waterborne outbreak of Cryptosporidium infection. Epidemiol Infect 1998;120:4354.CrossRefGoogle ScholarPubMed
2.Das, D, Metzger, K, Heffernan, R, Baiter, S, Weiss, D, Mostashari, F. Monitoring over-the-counter medication sales for early detection of disease outbreaks—New York City. MMWR Morb Mortal Wkly Rep 2005;54(suppl):4146.Google Scholar
3.Vergu, E, Grais, RF, Sarter, H, et al. Medication sales and syndromic surveillance, France. Emerg Infect Dis 2006;12:416421.Google Scholar
4.Edge, VL, Pollari, F, Lim, G, et al. Syndromic surveillance of gastrointestinal illness using pharmacy over-the-counter sales: a retrospective study of waterborne outbreaks in Saskatchewan and Ontario. Can J Public Health 2004;95:446450.Google Scholar
5.Ohio Department of Health. Final report for rates of Clostridium difficile for Ohio hospitals and nursing homes January 1-December 31, 2006. Columbus, OH: Ohio Department of Health. http://www.odh.ohio.gov/alerts/cdiffl.aspx. Accessed February 1, 2008.Google Scholar
6.Campbell, RJ, Giljahn, L, Machesky, K, et al. Clostridium difficile infection in Ohio hospitals and nursing homes during 2006. Infect Control Hosp Epidemiol 2009;30:526533.CrossRefGoogle ScholarPubMed
7.Agency for Healthcare Research and Quality. Nationwide in-patient sample (NIS) healthcare cost and utilization project. Washington, DC: Agency for Healthcare Research and Quality. http://www.hcup-us.ahrq.gov/nisoverview.jsp. Accessed February 19, 2010.Google Scholar
8.Dubberke, ER, Reske, KA, McDonald, LC, Fraser, VJ. ICD-9 codes and surveillance for Clostridium difficile-associated disease. Emerg Infect Dis 2006;12:15761579.Google Scholar
9.Zar, FA, Bakkanagari, SR, Moorthi, KM, Davis, MB. A comparison of vancomycin and metronidazole for the treatment of Clostridium difficile-associated diarrhea, stratified by disease severity. Clin Infect Dis 2007;45:302307.Google Scholar