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Impact of an Antimicrobial Utilization Program on Antimicrobial Use at a Large Teaching Hospital A Randomized Controlled Trial

Published online by Cambridge University Press:  02 January 2015

Bernard C. Camins
Affiliation:
Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia
Mark D. King
Affiliation:
Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia
Jane B. Wells
Affiliation:
Pharmacy and Drug Information, Grady Memorial Hospital, Atlanta, Georgia
Heidi L. Googe
Affiliation:
Pharmacy and Drug Information, Grady Memorial Hospital, Atlanta, Georgia
Manish Patel
Affiliation:
Pharmacy and Drug Information, Grady Memorial Hospital, Atlanta, Georgia
Ekaterina V. Kourbatova
Affiliation:
Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia Departments of Epidemiology, Grady Memorial Hospital, Atlanta, Georgia
Henry M. Blumberg*
Affiliation:
Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Grady Memorial Hospital, Atlanta, Georgia Departments of Epidemiology, Grady Memorial Hospital, Atlanta, Georgia
*
Emory University School of Medicine, Div of Infectious Diseases, 49 Jesse Hill Dr, Atlanta, GA 30303 ([email protected])

Abstract

Background.

Multidisciplinary antimicrobial utilization teams (AUTs) have been proposed as a mechanism for improving antimicrobial use, but data on their efficacy remain limited.

Objective.

To determine the impact of an AUT on antimicrobial use at a teaching hospital.

Design.

Randomized controlled intervention trial.

Setting.

A 953-bed, public, university-affiliated, urban teaching hospital.

Patients.

Patients who were given selected antimicrobial agents (piperacillin-tazobactam, levofloxacin, or vancomycin) by internal medicine ward teams.

Intervention.

Twelve internal medicine teams were randomly assigned monthly: 6 teams to an intervention group (academic detailing by the AUT) and 6 teams to a control group that was given indication-based guidelines for prescription of broad-spectrum antimicrobials (standard of care), during a 10-month study period.

Measurements.

Proportion of appropriate empirical, definitive (therapeutic), and end (overall) antimicrobial usage.

Results.

A total of 784 new prescriptions of piperacillin-tazobactam, levofloxacin, and vancomycin were reviewed. The proportion of antimicrobial prescriptions written by the intervention teams that was considered to be appropriate was significantly higher than the proportion of antimicrobial prescriptions written by the control teams that was considered to be appropriate: 82% versus 73% for empirical (risk ratio [RR], 1.14; 95% confidence interval [CI], 1.04-1.24), 82% versus 43% for definitive (RR, 1.89; 95% CI, 1.53-2.33), and 94% versus 70% for end antimicrobial usage (RR, 1.34; 95% CI, 1.25-1.43). In multivariate analysis, teams that received feedback from the AUT alone (adjusted RR, 1.37; 95% CI, 1.27-1.48) or from both the AUT and the infectious diseases consultation service (adjusted RR, 2.28; 95% CI, 1.64-3.19) were significantiy more likely to prescribe end antimicrobial usage appropriately, compared with control teams.

Conclusions.

A multidisciplinary AUT that provides feedback to prescribing physicians was an effective method in improving antimicrobial use.

Trial Registration.

ClinicalTrials.gov identifier: NCT00552838.

Type
Original Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2009

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References

1.US Congress, Office of Technology Assessment. Impact of antibiotic-resistant bacteria (OTA-H-629), 1995. Washington, DC: US Government Printing Office, 1995.Google Scholar
2.Whitney, CG, Farley, MM, Hadler, J, et al.Increasing prevalence of mul-tidrug-resistant Streptococcus pneumoniae in the United States. N EnglJ Med 2000;343:19171924.CrossRefGoogle Scholar
3.Fridkin, SK, Edwards, JR, Tenover, FC, Gaynes, RP, McGowan, JE Jr.Antimicrobial resistance prevalence rates in hospital antibiograms reflect prevalence rates among pathogens associated with hospital-acquired infections. Clin Infect Dis 2001;33:324330.CrossRefGoogle ScholarPubMed
4.Fridkin, SK, Hill, HA, Volkova, NV, et al.Temporal changes in prevalence of antimicrobial resistance in 23 US hospitals. Emerg Infect Dis 2002;8:697701.Google Scholar
5.Neuhauser, MM, Weinstein, RA, Rydman, R, Danziger, LH, Karam, G, Quinn, JP. Antibiotic resistance among gram-negative bacilli in US intensive care units: implications for fluoroquinolone use. JAMA 2003;289:885888.Google Scholar
6.Seppala, H, Klaukka, T, Vuopio-Varkila, J, et al.The effect of changes in the consumption of macrolide antibiotics on erythromycin resistance in group A streptococci in Finland. Finnish Study Group for Antimicrobial Resistance. N Engi J Med 1997;337:441446.CrossRefGoogle Scholar
7.Huovinen, P, Seppala, H, Kataja, J, Klaukka, T. The relationship between erythromycin consumption and resistance in Finland. Finnish Study Group for Antimicrobial Resistance. Ciba Found Symp 1997;207:3641.Google Scholar
8.Bronzwaer, SL, Cars, O, Buchholz, U, et al.A European study on the relationship between antimicrobial use and antimicrobial resistance. Emerg Infect Dis 2002;8:278282.CrossRefGoogle Scholar
9.Monnet, DL, MacKenzie, FM, Lopez-Lozano, JM, et al.Antimicrobial drug use and methicillin-resistant Staphylococcus aureus, Aberdeen, 1996-2000. Emerg Infect Dis 2004;10:14321441.Google Scholar
10.Cohen, ML. Epidemiology of drug resistance: implications for a post-antimicrobialera. Science 1992;257:10501055.CrossRefGoogle Scholar
11.Forum on Emerging Infections, Institute of Medicine. Antimicrobial Resistance: Issues and Options. Washington, DC: National Academy Press, 1998.Google Scholar
12.Kollef, MH, Fraser, VJ. Antibiotic resistance in the intensive care unit. Ann Intern Med 2001;134:298314.Google Scholar
13.Dunagan, WC, Woodward, RS, Medoff, G, et al.Antimicrobial misuse in patients with positive blood cultures. Am J Med 1989;87:253259.CrossRefGoogle ScholarPubMed
14.Arbo, MD, Snydman, DR. Influence of blood culture results on antibiotic choice in the treatment of bacteremia. Arch Intern Med 1994;154:26412645.Google Scholar
15.John, JF Jr, Fishman, NO. Programmatic role of the infectious diseases physician in controlling antimicrobial costs in the hospital. Clin Infect Dis 1997;24:471485.CrossRefGoogle ScholarPubMed
16.Evans, RS, Pestotnik, SL, Classen, DC, et al.A computer-assisted management program for antibiotics and other antiinfective agents. N Engl J Med 1998;338:232238.CrossRefGoogle ScholarPubMed
17.DeLisle, S, Perl, TM. Antimicrobial management measures to limit resistance: a process-based conceptual framework. Crit Care Med 2001;29: N121N127.CrossRefGoogle ScholarPubMed
18.White, AC Jr, Atmar, RL, Wilson, J, Cate, TR, Stager, CE, Greenberg, SB. Effects of requiring prior authorization for selected antimicrobials: expenditures, susceptibilities, and clinical outcomes. Clin Infect Dis 1997;25:230239.Google Scholar
19.Fraser, GL, Stogsdill, P, Dickens, JD Jr, Wennberg, DE, Smith, RP Jr, Prato, BS. Antibiotic optimization: an evaluation of patient safety and economic outcomes. Arch Intern Med 1997;157:16891694.Google Scholar
20.Solomon, DH, Van, HL, Glynn, RJ, et al.Academic detailing to improve use of broad-spectrum antibiotics at an academic medical center. Arch Intern Med 2001;161:18971902.CrossRefGoogle ScholarPubMed
21.Gross, R, Morgan, AS, Kinky, DE, Weiner, M, Gibson, GA, Fishman, NO. Impact of a hospital-based antimicrobial management program on clinical and economic outcomes. Clin Infect Dis 2001;33:289295.CrossRefGoogle ScholarPubMed
22.Dranitsaris, G, Spizzirri, D, Pitre, M, McGeer, A. A randomized trial to measure the optimal role of the pharmacist in promoting evidence-based antibiotic use in acute care hospitals. Int J Technol Assess Health Care 2001;17:171180.CrossRefGoogle ScholarPubMed
23.Shlaes, DM, Gerding, DN, John, JF Jr, et al.Society for Healthcare Epidemiology of America and Infectious Diseases Society of America Joint Committee on the Prevention of Antimicrobial Resistance: guidelines for the prevention of antimicrobial resistance in hospitals. Clin Infect Dis 1997;25:584599.CrossRefGoogle Scholar
24.Goldmann, DA, Weinstein, RA, Wenzel, RP, et al.Strategies to prevent and control the emergence and spread of antimicrobial-resistant microorganisms in hospitals: a challenge to hospital leadership. JAMA 1996;275:234240.Google Scholar
25.Bantar, C, Sartori, B, Vesco, E, et al.A hospital-wide intervention program to optimize the quality of antibiotic use: impact on prescribing practice, antibiotic consumption, cost savings, and bacterial resistance. Clin Infect Dis 2003;37:180186.CrossRefGoogle ScholarPubMed
26.Apisarnthanarak, A, Danchaivijitr, S, Khawcharoenporn, T, et al.Effectiveness of education and an antibiotic-control program in a tertiary care hospital in Thailand. Clin Infect Dis 2006;42:768775.Google Scholar
27.World Health Organization. ATC classification index with DDDs. Oslo, Norway: World Health Organization Collaborating Center for Drug Statistics Methodology, 2001.Google Scholar