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Antimicrobial Consumption Data From Pharmacy and Nursing Records: How Good Are They?

Published online by Cambridge University Press:  21 June 2016

Gail S. Itokazu*
Affiliation:
John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois University of Illinois at Chicago College of Pharmacy, Chicago, Illinois
Robert C. Glowacki
Affiliation:
John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois University of Illinois at Chicago College of Pharmacy, Chicago, Illinois
David N. Schwartz
Affiliation:
John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois Rush Medical College, Chicago, Illinois
Mary F. Wisniewski
Affiliation:
John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois
Robert J. Rydman
Affiliation:
John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois University of Illinois at Chicago School of Public Health, Chicago, Illinois
Robert A. Weinstein
Affiliation:
John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois Rush Medical College, Chicago, Illinois
*
John H. Stroger Jr. Hospital of Cook County, Division of Infectious Diseases, 637 S. Wood St., Durand Building – Room 110, Chicago, IL 60612gitokazu@uic.edu

Abstract

Objective:

To determine whether randomly selected intravenous (IV) antimicrobial doses dispensed from an inpatient pharmacy were administered.

Design:

This was a prospective, cross-sectional study in which dose administration was confirmed by direct observation and by assessment of the medication administration record (MAR). A retrospective analysis of the return rate of unused IV antimicrobial doses was performed subsequently.

Setting:

Medical and surgical intensive care units (ICUs) and non-ICUs of a 550-bed urban public teaching hospital.

Participants:

Hospitalized patients with an order in the pharmacy database for an IV antimicrobial during 9 non-consecutive weekdays in June 1999.

Results:

Of 397 doses, 221 (55.7%) assessed by bedside observation and 238 (59.9%) assessed by MAR review were classified as administered; 139 doses (35.0%) were dispensed but changes in the drug order or the patient's status prevented their administration. In the subsequent assessment, of 745 IV antimicrobial doses dispensed during 24 hours, 322 (43.2%) were returned to the pharmacy unused; 423 (56.8%) of the doses—consistent with our prior observations—were presumably administered.

Conclusions:

Because computerized pharmacy data may overestimate actual antimicrobial consumption, such data should be validated when used in studies of hospital antimicrobial use. Dispense-return analysis offers a simple validation method.

Type
Orginal Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2005

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References

1.McGowan, JE, Finland, M. Usage of antibiotics in a general hospital: effect of requiring justification. J Infect Dis 1974;130:165168.Google Scholar
2.Jewesson, PJ, Ho, R, Jang, Q, Watts, G, Chow, AW. Auditing antibiotic use in a teaching hospital: focus on cefoxitin. Canadian Medical Association Journal 1983;128:10751078.Google Scholar
3.Morris, JG, Shay, DK, Hebden, JN, et al.Enterococci resistant to multiple antimicrobial agents, including vancomycin: establishment of endemicity in a university medical center. Ann Intern Med 1995;123:250259.Google Scholar
4.Quale, J, Landman, D, Saurina, G, Atwood, E, DiTorre, V, Patel, K. Manipulation of a hospital antimicrobial formulary to control an outbreak of vancomycin-resistant enterococci. Clin Infect Dis 1996;23:10201025.Google Scholar
5.Frank, MO, Batteiger, BE, Sorensen, SJ, et al.Decrease in expenditures and selected nosocomial infections following implementation of an antimicrobial-prescribing improvement program. Clinical Performance and Quality Health Care 1997;5:180188.Google Scholar
6.Toltzis, P, Yamashita, T, Vilt, L, et al.Antibiotic restriction does not alter endemic colonization with resistant gram-negative rods in a pediatric intensive care unit. Crit Care Med 1998;26:18931899.Google Scholar
7.Shojania, KG, Yokoe, D, Piatt, R, Fiskio, J, Ma'luf, N, Bates, DW. Reducing vancomycin use utilizing a computer guideline: results of a randomized controlled trial. J Am Med Inform Assoc 1998;5:554562.Google Scholar
8.Carling, PC, Fung, T, Coldiron, JS. Parental antibiotic use in acute-care hospitals: a standardized analysis of fourteen institutions. Clin Infect Dis 1999;29:11891196.Google Scholar
9.López-Lozano, J-M, Monnet, DL, Yague, A, et al.Modeling and forecasting antimicrobial resistance and its dynamic relationship to antimicrobial use: a time series analysis. Int J Antimicrob Agents 2000;14:2131.Google Scholar
10.Patterson, JE, Hardin, TC, Kelly, CA, Garcia, RC, Jorgensen, JH. Association of antibiotic utilization measures and control of multiple-drug resistance in Klebsiella pneumoniae. Infect Control Hosp Epidemiol 2000;21:455458.CrossRefGoogle ScholarPubMed
11.Leverstein-van Hall, MA, Fluit, AC, Blok, HEM, et al.Control of nosocomial multiresistant Enterobacteriaceae using a temporary restrictive antibiotic agent policy. Eur J Clin Microbiol Infect Dis 2001;20:785791.Google Scholar
12.Recco, RA, Gladstone, JL, Friedman, SA, Gerken, EH. Antibiotic control in a municipal hospital. JAMA 1979;241:22832286.Google Scholar
13.Seligman, SJ. Reduction in antibiotic costs by restricting use of an oral cephalosporin. Am J Med 1981;71:941944.Google Scholar
14.Woodward, RS, Medoff, G, Smith, MD, Gray, JL. Antibiotic cost savings from formulary restrictions and physician monitoring in a medical-school-affiliated hospital. Am J Med 1987;83:817823.Google Scholar
15.Hirschman, SZ, Meyers, BR, Bradbury, KMehl, B, Gendelman, S, Kimelblatt, B. Use of antimicrobial agents in a university teaching hospital: evolution of a comprehensive control plan. Arch Intern Med 1988;148:20012007.Google Scholar
16.Kuyumjian, AG, Levine, JF, Gross, PA, Lo Presti, A. A prospective study of antibiotic cost containment in a university teaching hospital over a 13-year period. Pharmacy and Therapeutics 2002;11:565568.Google Scholar
17.Ballow, CH, Schentag, JJ. Trends in antibiotic utilization and bacterial resistance: report of the National Nosocomial Resistance Surveillance group. Diagn Microbiol Infect Dis 1992;15(suppl):37S42S.Google Scholar
18.Leseti, CA, Itokazu, GS, Danziger, LH, Weinstein, RA. Multi-hospital analysis of antimicrobial usage and resistance trends. Diagn Microbiol Infect Dis 2001;41:149154.Google Scholar
19.Ridley, M, Barrie, D, Lynn, R, Stead, KC. Antibiotic-resistant Staphylococcus aureus and hospital antibiotic policies. Lancet 1970;1:230233.Google Scholar
20.Palleres, R, Dick, R, Wenzel, RP, Adams, JR, Nettleman, MD. Trends in antimicrobial utilization at a tertiary teaching hospital during a 15-year period (1978-1992). Infect Control Hosp Epidemiol 1998;14:376382.Google Scholar
21.White, AC, 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
22.Rahal, JJ, Urban, C, Horn, D, et al.Class restriction of cephalosporin use to control total cephalosporin resistance in nosocomial Klebsiella. JAMA 1998;280:12331237.Google Scholar
23.Monnet, DL, Archibald, LKPhillips, L, Tenover, FC, McGowan, JE, Gaynes, RP. Antimicrobial use and resistance in eight US hospitals: complexities of analysis and modeling. Infect Control Hosp Epidemiol 1998;19:388394.Google Scholar
24.Montecalvo, MA, Jarvis, WR, Uman, J, et al.Infection-control measures reduce transmission of vancomycin-resistant enterococci in an endemic setting. Ann Intern Med 1999;131:269272.Google Scholar
25.Fridkin, SK, Edwards, JR, Courval, JM, et al.The effect of vancomycin and third-generation cephalosporins on prevalence of vancomycin-resistant enterococci in 126 U.S. adult intensive care units. Ann Intern Med 2001;135:175183.Google Scholar
26.Lautenbach, E, LaRosa, LA, Marr, AM, Nachamkin, I, Bilder, WB, Fishman, NO. Changes in the prevalence of vancomycin-resistant enterococci in response to antimicrobial formulary interventions: impact of progressive restrictions on use of vancomycin and third-generation cephalosporins. Clin Infect Dis 2003;36:440446.CrossRefGoogle ScholarPubMed
27.Solomon, DH, Van Houten, L, Glynn, RJ, et al.Academic detailing to improve use of broad-spectrum antibiotics at an academic medical center. Arch Intern Med 2001;161:18971902.Google Scholar
28.Lepper, PM, Grusa, E, Heichl, H, Hogel, J, Trautmann, M. Consumption of imipenem correlates with β-lactam resistance in Pseudomonas aeruginosa. Antimicrob Agents Chemother 2002;46:29202925.Google Scholar
29.Salberg, DJ, Newton, RW, Leduc, DT. Cost of wastage in a hospital intravenous admixture program. Hospital Formulary 1984;19:375378.Google Scholar
30.Boomer, G, Savoy, LB, Marten, R. The effect of oral communication on intravenous wastage: talk is cheap. Hospital Pharmacy 1993;28:404-405, 407409.Google Scholar
31.Davis, NM. Minimizing waste of prepared sterile products. Hospital Pharmacy 1985;20:109,111114.Google Scholar
32.Coppola, PA, Cassidy, AP. Reducing waste: a significant cost containment measure in an IV additive program. Hospital Pharmacy 1987;22:1215-1216, 1246.Google Scholar
33.Diehl, LD, Goo, EDH, Sumiye, L, Ferrell, R. Reducing waste of intravenous solutions. American Journal of Hospital Pharmacy 1992;49:106108.Google Scholar
34.Tullio, CJ. Minimizing IV admixture waste in a 70-bed hospital. Hospital Pharmacy 1987;22:994, 997, 1001.Google Scholar
35.Wirtz, V, Taxis, K, Barber, ND. An observational study of intravenous medication errors in the United Kingdom and in Germany. Pharm World Sci 2003;25:104111.Google Scholar
36.Fontan, JE, Maneglier, V, Nguyen, VX, Loirat, C, Brion, F. Medication errors in hospitals: computerized unit dose drug dispensing system versus ward stock distribution system. Pharm World Sci 2003;25:112117.Google Scholar
37.Barker, KN, McConnell, WE. The problems of detecting errors in hospitals. American Journal of Hospital Pharmacy 1962;19:361369.Google Scholar
38.Schiff, GD, Rucker, TD. Computerized prescribing: building the electronic infrastructure for better medication usage. JAMA 1998:279:10241029.Google Scholar
39.Hoolihan, RJ, Erickson, BA. Strategies for reducing IV drug waste and coping with increased workload. Hospital Pharmacy 1987;22:871876.Google Scholar
40.Hogan, WR, Wagner, MM. Accuracy of data in computer-based patient records. J Am Med Inform Assoc 1997;5:342355.Google Scholar
41.Katz, E. Unadministered medications in a unit dose system. Quality Review Bulletin 1980;6:2024.Google Scholar
42.Veltri, GM, Stile, IL, Coleman, JB, Vittorini, MA. Charting accuracy of scheduled medications in the medication administration record. Hospital Pharmacy 1986;21:11411143.Google Scholar