Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-24T22:49:41.671Z Has data issue: false hasContentIssue false

Inaccurate Communications in Telephone Calls to an Antimicrobial Stewardship Program

Published online by Cambridge University Press:  21 June 2016

Darren R. Linkin*
Affiliation:
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania Division of Infectious Diseases, University of Pennsylvania, Philadelphia, Pennsylvania Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania Center for Education and Research on Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania Veterans Administration Medical Center, Philadelphia, Pennsylvania
Sarah Paris
Affiliation:
Department of Emergency Medicine, University of Rochester, Rochester, New York
Neil O. Fishman
Affiliation:
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania Division of Infectious Diseases, University of Pennsylvania, Philadelphia, Pennsylvania Center for Education and Research on Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania
Joshua P. Metlay
Affiliation:
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania Division of General Internal Medicine, University of Pennsylvania, Philadelphia, Pennsylvania Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania Center for Education and Research on Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania Veterans Administration Medical Center, Philadelphia, Pennsylvania
Ebbing Lautenbach
Affiliation:
Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania Division of Infectious Diseases, University of Pennsylvania, Philadelphia, Pennsylvania Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania Center for Education and Research on Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania
*
711 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104 (linkin@mail.med.upenn.edu)

Abstract

Background.

Antimicrobial stewardship programs (ASPs) decrease unnecessary antimicrobial use, decrease antimicrobial resistance, and improve patient outcomes. The effectiveness of a prior approval system—that is, the requirement that approval be obtained from ASP practitioners before certain antimicrobials can be used—depends on the accuracy of the patient data communicated from the primary service.

Objectives.

To determine the incidence of inaccurate communication of patient data during ASP interactions, describe examples of inaccurate communications, and identify risk factors for inaccurate communication.

Design.

We used a retrospective cohort design. We evaluated the communicated patient data for clinically important inaccuracies, using the patients' medical records as the gold standard.

Setting.

A tertiary care medical center that has a prior approval system for restricted antimicrobials.

Patients.

Inpatients discussed in telephone ASP interactions.

Intervention.

Observational study.

Results.

Of telephone calls requesting prior approval from ASP practitioners, 39% (95% confidence interval [CI], 31%-48%) contained an inaccuracy in at least 1 type of patient data (eg, current antimicrobial therapy); the incidence varied widely between data types. Examples of inaccuracies are given to demonstrate their clinical relevance. In multivariable analysis, inaccurate communications were more common for telephone calls from surgical services (versus calls from nonsurgical services: odds ratio, 2.1 [95% CI, 1.1-3.9]) and for calls received by Infectious Diseases fellows (versus pharmacists: odds ratio, 2.0 [95% CI, 1.1-3.8]).

Conclusions.

A high proportion of ASP calls requesting prior approval included patient data inaccuracies, which have the potential to affect the prescribing of antimicrobials. Although risk factors were identified, these communication errors were common across the different types of ASP interactions. Inaccurate communications may compromise the utility of ASPs that use a prior approval system for optimizing antimicrobial use.

Type
Original Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. 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
2. DeLisle, S, Perl, TM. Antimicrobial management measures to limit resistance: a process-based conceptual framework. Crit Care Med 2001; 29:N121N127.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; 29:245252.CrossRefGoogle ScholarPubMed
4. Lawton, RM, Fridkin, SK, Gaynes, RP, McGowan, JE Jr. Practices to improve antimicrobial use at 47 US hospitals: the status of the 1997 SHEA/IDSA position paper recommendations. Society for Healthcare Epidemiology of America/Infectious Diseases Society of America. Infect Control Hosp Epidemiol 2000; 21:256259.Google Scholar
5. Kinky, DE, Gross, R, Morgan, AS, Gibson, GA, Fishman, NO. Clinical and economic outcomes of a comprehensive antimicrobial management program (AMP). In: Program and abstracts of the Annual Meeting of the Infectious Diseases Society of America; 1998. [Abstract].Google Scholar
6. 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.Google Scholar
7. Frank, MO, Batteiger, BE, Sorensen, SJ, et al. Decrease in expenditures and selected nosocomial infections following implementation of an antimicrobial-prescribing improvement program. Clin Perform Qual Health Care 1997; 5:180188.Google ScholarPubMed
8. 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
9. Ruttimann, S, Keck, B, Hartmeier, C, Maetzel, A, Bucher, HC. Long-term antibiotic cost savings from a comprehensive intervention program in a medical department of a university-affiliated teaching hospital. Clin Infect Dis 2004; 38:348356.Google Scholar
10. Rosner, B. Fundamentals of Biostatistics. 5th ed. Pacific Grove, CA: Dux-bury Press; 2000.Google Scholar
11. Maldonado, G, Greenland, S. Simulation study of confounder-selection strategies. Am J Epidemiol 1993; 138:923936.CrossRefGoogle ScholarPubMed
12. Kohn, LT, Corrigan, JM, Donaldson, MS. Errors in health care: a leading cause of death and injury. In: To Err Is Human: Building a Safer Health System. Washington, DC: Committee on Quality Health Care in America, Institute of Medicine; 1999:287.Google Scholar
13. Calfee, DP, Brooks, J, Zirk, NM, Giannetta, ET, Scheld, WM, Farr, BM. A pseudo-outbreak of nosocomial infections associated with the introduction of an antibiotic management programme. J Hosp Infect 2003; 55:2632.Google Scholar
14. Keating, NL, Zaslavsky, AM, Ayanian, JZ. Physicians' experiences and beliefs regarding informal consultation. JAMA 1998; 280:900904.Google Scholar
15. Kuo, D, Gifford, DR, Stein, MD. Curbside consultation practices and attitudes among primary care physicians and medical subspecialists. JAMA 1998; 280:905909.Google Scholar
16. Sexton, JB, Thomas, EJ, Helmreich, RL. Error, stress, and teamwork in medicine and aviation: cross sectional surveys. BMJ 2000; 320:745749.CrossRefGoogle Scholar