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Days of Therapy and Antimicrobial Days: Similarities and Differences Between Consumption Metrics

Published online by Cambridge University Press:  13 May 2016

Nathaniel J. Rhodes ,
Jamie L. Wagner ,
Elise M. Gilbert ,
Page E. Crew ,
Susan L. Davis  and
Marc H. Scheetz
Nathaniel J. Rhodes*
Affiliation:
Department of Pharmacy Practice, Midwestern University, Chicago College of Pharmacy, Downers Grove, Illinois
Jamie L. Wagner
Affiliation:
University of Mississippi School of Pharmacy, Jackson, Mississippi
Elise M. Gilbert
Affiliation:
Department of Pharmacy Practice, Chicago State University, College of Pharmacy, Chicago, Illinois
Page E. Crew
Affiliation:
Department of Pharmacy Practice, Midwestern University, Chicago College of Pharmacy, Downers Grove, Illinois
Susan L. Davis
Affiliation:
Department of Pharmacy Practice, Wayne State University, Eugene Applebaum College of Pharmacy and Health Sciences, Detroit, Michigan.
Marc H. Scheetz*
Affiliation:
Department of Pharmacy Practice, Midwestern University, Chicago College of Pharmacy, Downers Grove, Illinois
*
Address correspondence to Marc H. Scheetz, PharmD, MSc; Associate Professor of Pharmacy Practice; Midwestern University Chicago College of Pharmacy; 555 31st St., Downers Grove, IL 60515 (mschee@midwestern.edu) or to Nathaniel J. Rhodes, PharmD, MSc, Assistant Professor of Pharmacy Practice; Midwestern University Chicago College of Pharmacy, 555 31st St., Downers Grove, IL 60515 (nrhode@midwestern.edu).
Address correspondence to Marc H. Scheetz, PharmD, MSc; Associate Professor of Pharmacy Practice; Midwestern University Chicago College of Pharmacy; 555 31st St., Downers Grove, IL 60515 (mschee@midwestern.edu) or to Nathaniel J. Rhodes, PharmD, MSc, Assistant Professor of Pharmacy Practice; Midwestern University Chicago College of Pharmacy, 555 31st St., Downers Grove, IL 60515 (nrhode@midwestern.edu).
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Abstract

Benchmarks for antimicrobial consumption measured in antimicrobial days are beginning to emerge. The relationship between the traditional measure of days of therapy and antimicrobial days is unclear. We observed a high intermethod correlation (R2=0.99): antimicrobial days were 1.9-fold lower than days of therapy across agents. Individual institutions should correlate these measures.

Infect Control Hosp Epidemiol 2016;37:971–973

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 37 , Issue 8 , August 2016 , pp. 971 - 973
Copyright
© 2016 by The Society for Healthcare Epidemiology of America. All rights reserved 

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References

REFERENCES

1. Fridkin, S, Baggs, J, Fagan, R, et al. Vital signs: improving antibiotic use among hospitalized patients. MMWR 2014;63:194–200.Google ScholarPubMed
2. National Healthcare Safety Network (NHSN) Antimicrobial Use and Resistance (AUR) Module. Centers for Disease Control and Prevention website. http://www.cdc.gov/nhsn/PDFs/pscManual/11pscAURcurrent.pdf. Published 2016. Accessed April 11, 2016.Google Scholar
3. Cohen, AL, Calfee, D, Fridkin, SK, et al. Recommendations for metrics for multidrug-resistant organisms in healthcare settings: SHEA/HICPAC Position paper. Infect Control Hosp Epidemiol 2008;29:901–913.CrossRefGoogle ScholarPubMed
4. McLaughlin, M, Advincula, MR, Malczynski, M, Qi, C, Bolon, M, Scheetz, MH. Correlations of antibiotic use and carbapenem resistance in enterobacteriaceae. Antimicrob Agents Chemother 2013;57:5131–5133.CrossRefGoogle ScholarPubMed
5. Polk, RE, Fox, C, Mahoney, A, Letcavage, J, MacDougall, C. Measurement of adult antibacterial drug use in 130 US hospitals: comparison of defined daily dose and days of therapy. Clin Infect Dis 2007;44:664–670.CrossRefGoogle ScholarPubMed
6. Monnet, DL, Lopez-Lozano, JM, Campillos, P, Burgos, A, Yague, A, Gonzalo, N. Making sense of antimicrobial use and resistance surveillance data: application of ARIMA and transfer function models. Clin Microbiol Infect 2001;7:29–36.CrossRefGoogle Scholar