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Use of a Structured Panel Process to Define Quality Metrics for Antimicrobial Stewardship Programs

Published online by Cambridge University Press:  02 January 2015

Andrew M. Morris*
Affiliation:
Mount Sinai Hospital and University Health Network, Toronto, Ontario, Canada Department of Medicine, Division of Infectious Diseases, University of Toronto, Ontario, Canada
Stacey Brener
Affiliation:
Mount Sinai Hospital and University Health Network, Toronto, Ontario, Canada St. Michael's Hospital, Keenan Research Centre in the Li Ka Shing Knowledge Institute, Toronto, Ontario, Canada
Linda Dresser
Affiliation:
Department of Pharmacy, University Health Network, Toronto, Ontario, Canada Leslie Dan Faculty of Pharmacy, University of Toronto, Ontario, Canada
Nick Daneman
Affiliation:
Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada Sunnybrook Health Sciences Centre, Division of Infectious Diseases, Toronto, Ontario, Canada Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Timothy H. Dellit
Affiliation:
Department of Quality Improvement and Infection Control, Harborview Medical Center, Seattle, Washington
Edina Avdic
Affiliation:
Antimicrobial Stewardship Program, Johns Hopkins Hospital, Department of Pharmacy, Baltimore, Maryland
Chaim M. Bell
Affiliation:
St. Michael's Hospital, Keenan Research Centre in the Li Ka Shing Knowledge Institute, Toronto, Ontario, Canada Leslie Dan Faculty of Pharmacy, University of Toronto, Ontario, Canada Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada Canadian Institutes for Health Research and Canadian Patient Safety Institute, Toronto, Ontario, Canada
*
Mount Sinai Hospital, 600 University Avenue, Suite 415, Toronto, ON M5G 1X5 ([email protected])

Abstract

Introduction.

Antimicrobial stewardship programs are being implemented in health care to reduce inappropriate antimicrobial use, adverse events, Clostridium difficile infection, and antimicrobial resistance. There is no standardized approach to evaluate the impact of these programs.

Objective.

To use a structured panel process to define quality improvement metrics for evaluating antimicrobial stewardship programs in hospital settings that also have the potential to be used as part of public reporting efforts.

Design.

A multiphase modified Delphi technique.

Setting.

Paper-based survey supplemented with a 1-day consensus meeting.

Participants.

A 10-member expert panel from Canada and the United States was assembled to evaluate indicators for relevance, effectiveness, and the potential to aid quality improvement efforts.

Results.

There were a total of 5 final metrics selected by the panel: (1) days of therapy per 1000 patient-days; (2) number of patients with specific organisms that are drug resistant; (3) mortality related to antimicrobial-resistant organisms; (4) conservable days of therapy among patients with community-acquired pneumonia (CAP), skin and soft-tissue infections (SSTI), or sepsis and bloodstream infections (BSI); and (5) unplanned hospital readmission within 30 days after discharge from the hospital in which the most responsible diagnosis was one of CAP, SSTI, sepsis or BSI. The first and second indicators were also identified as useful for accountability purposes, such as public reporting.

Conclusion.

We have successfully identified 2 measures for public reporting purposes and 5 measures that can be used internally in healthcare settings as quality indicators. These indicators can be implemented across diverse healthcare systems to enable ongoing evaluation of antimicrobial stewardship programs and complement efforts for improved patient safety.

Type
Original Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2012

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References

1.Roumie, CL, Halasa, NB, Grijalva, CG, et al. Trends in antibiotic prescribing for adults in the United States-1995 to 2002. J Gen Intern Med 2005;20(8):697702.CrossRefGoogle ScholarPubMed
2.Dunagan, WC, Woodward, RS, Medoff, G, et al. Antimicrobial misuse in patients with positive blood cultures. Am J Med 1989; 87(3):253259.Google Scholar
3.Fridkin, SK, Steward, CD, Edwards, JR, et al. Surveillance of antimicrobial use and antimicrobial resistance in United States hospitals: project ICARE phase 2. Project Intensive Care Antimicrobial Resistance Epidemiology (ICARE) hospitals. Clin Infect Dis 1999;29(2):245252.Google Scholar
4.Gonzales, R, Malone, DC, Maselli, JH, Sande, MA. Excessive antibiotic use for acute respiratory infections in the United States. Clin Infect Dis 2001;33(6):757762.Google Scholar
5.Pelletier, LL Jr. Hospital usage of parenteral antimicrobial agents: a gradated utilization review and cost containment program. Infect Control 1985;6(6):226230.Google Scholar
6.Polk, R. Optimal use of modern antibiotics: emerging trends. Clin Infect Dis 1999;29(2):264274.Google Scholar
7.Vincent, JL, Relio, J, Marshall, J, et al. International study of the prevalence and outcomes of infection in intensive care units. JAMA 2009;302(21):23232329.Google Scholar
8.Albrich, WC, Monnet, DL, Harbarth, S. Antibiotic selection pressure and resistance in Streptococcus pneumoniae and Streptococcus pyogenes. Emerg Infect Dis 2004; 10(3):514517.Google Scholar
9.de With, K, Bergner, J, Buhner, R, et al. Antibiotic use in German university hospitals 1998-2000 (Project INTERUNI-II). Int J Antimicrob Agents 2004;24(3):213218.CrossRefGoogle ScholarPubMed
10.Goossens, H, Ferech, M, Vander, SR, Elseviers, M. Outpatient antibiotic use in Europe and association with resistance: a cross-national database study. Lancet 2005;365(9459):579587.CrossRefGoogle ScholarPubMed
11.Hsueh, PR, Chen, WH, Luh, KT. Relationships between antimicrobial use and antimicrobial resistance in gram-negative bacteria causing nosocomial infections from 1991-2003 at a university hospital in Taiwan. Int J Antimicrob Agents 2005;26(6): 463472.CrossRefGoogle Scholar
12.Malhotra-Kumar, S, Lammens, C, Coenen, S, Van, HK, Goossens, H. Effect of azithromycin and clarithromycin therapy on pharyngeal carriage of macrolide-resistant streptococci in healthy volunteers: a randomised, double-blind, placebo-controlled study. Lancet 2007;369(9560):482490.CrossRefGoogle Scholar
13.Paterson, DL. “Collateral damage” from cephalosporin or quin-olone antibiotic therapy. Clin Infect Dis 2004;38(suppl 4): S341S345.Google Scholar
14.Stevens, V, Dumyati, G, Fine, LS, Fisher, SG, van Wijngaarden, E. Cumulative antibiotic exposures over time and the risk of Clostridium difficile infection. Clin Infect Dis 2011;53(1):4248.Google Scholar
15.Cosgrove, SE, Sakoulas, G, Perencevich, EN, Schwaber, MJ, Karchmer, AW, Carmeli, Y. Comparison of mortality associated with methicillin-resistant and methicillin-susceptible Staphylococcus aureus bacteremia: a meta-analysis. Clin Infect Dis 2003;36(1): 5359.CrossRefGoogle ScholarPubMed
16.Cosgrove, SE. The relationship between antimicrobial resistance and patient outcomes: mortality, length of hospital stay, and health care costs. Clin Infect Dis 2006;42(suppl 2):S82S89.Google Scholar
17.DiazGranados, CA, Zimmer, SM, Klein, M, Jernigan, JA. Comparison of mortality associated with vancomycin-resistant and vancomycin-susceptible enterococcal bloodstream infections: a meta-analysis. Clin Infect Dis 2005;41(3):327333.Google Scholar
18.Lee, NY, HC, Lee, Ko, NY, et al. Clinical and economic impact of multidrug resistance in nosocomial Acinetobacter baumannii bacteremia. Infect Control Hosp Epidemiol 2007;28(6):713719.Google Scholar
19.Dellit, TH, Owens, RC, McGowan, JE Jr, et al. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis 2007;44(2): 159177.Google Scholar
20.Marr, JJ, Moffet, HL, Kunin, CM. Guidelines for improving the use of antimicrobial agents in hospitals: a statement by the Infectious Diseases Society of America. J Infect Dis 1988;157(5): 869876.Google Scholar
21.Berrington, A. Antimicrobial prescribing in hospitals: be careful what you measure. J Antimicrob Chemother 2010;65(1):163168.Google Scholar
22.Curtis, C, Marriott, J, Langley, C. Development of a prescribing indicator for objective quantification of antibiotic usage in secondary care. J Antimicrob Chemother 2004;54(2):529533.Google Scholar
23.Filius, PM, Liem, TB, van der Linden, PD, et al. An additional measure for quantifying antibiotic use in hospitals. J Antimicrob Chemother 2005;55(5):805808.CrossRefGoogle ScholarPubMed
24.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(5):664670.CrossRefGoogle ScholarPubMed
25.Fink, A, Kosecoff, J, Chassin, M, Brook, RH. Consensus methods: characteristics and guidelines for use. Am J Public Health 1984; 74(9):979983.Google Scholar
26.Brown, N, Crawford, I, Carley, S, Mackway-Jones, K. A Delphi-based consensus study into planning for biological incidents. J Public Health (Oxf) 2006;28(3):238241.Google Scholar
27.Guru, V, Anderson, GM, Fremes, SE, O'Connor, GT, Grover, FL, Tu, JV. The identification and development of Canadian coronary artery bypass graft surgery quality indicators. J Thorac Cardi-ovasc Surg 2005;130(5):1257.Google Scholar
28.Guttmann, A, Razzaq, A, Lindsay, P, Zagorski, B, Anderson, GM. Development of measures of the quality of emergency department care for children using a structured panel process. Pediatrics 2006;118(1):114123.Google Scholar
29.Handler, SM, Hanlon, JT, Perera, S, et al. Consensus list of signals to detect potential adverse drug reactions in nursing homes. J Am Geriatr Soc 2008;56(5):808815.Google Scholar
30.Lightfoot, WS, Hefti, A, Mariotti, A. Using a Delphi panel to survey criteria for successful periodontal therapy in anterior teeth. J Periodontal 2005;76(9):15081512.Google Scholar
31.McGeer, A, Campbell, B, Emori, TG, et al. Definitions of infection for surveillance in long-term care facilities. Am J Infect Control 1991;19(1):17.Google Scholar
32.Mertens, AC, Cotter, KL, Foster, BM, et al. Improving health care for adult survivors of childhood cancer: recommendations from a delphi panel of health policy experts. Health Policy 2004;69(2): 169178.Google Scholar
33.Syed, AM, Hjarnoe, L, Krumkamp, R, Reintjes, R, Aro, AR. Developing policy options for SARS and SARS-like diseases-a Delphi study. Glob Public Health 2010;5(6):663675.Google Scholar
34.Patel, D, Lawson, W, Guglielmo, BJ. Antimicrobial stewardship programs: interventions and associated outcomes. Expert Rev Anti Infect Ther 2008;6(2):209222.Google Scholar
35.MacDougall, C, Polk, RE. Antimicrobial stewardship programs in health care systems. Clin Microbiol Rev 2005;18(4):638656.Google Scholar
36.Fishman, N. Antimicrobial stewardship. Am J Infect Control 2006; 34(5 suppl 1):S55S63.Google Scholar
37.Slama, TG. Gram-negative antibiotic resistance: there is a price to pay. Crit Care 2008;12(suppl 4):S4.Google Scholar