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Impact of a Pharmacist-Managed Outpatient Parenteral Antimicrobial Therapy (OPAT) Service on Cost Savings and Clinical Outcomes at an Academic Medical Center

Published online by Cambridge University Press:  17 January 2023

Taylor M. Epperson
Affiliation:
Department of Pharmacy, Parkland Health, Dallas, Texas
Kiya K. Bennett
Affiliation:
Clinical and Administrative Sciences, Department of Pharmacy, University of Oklahoma College of Pharmacy, Oklahoma City, Oklahoma
Katherine K. Kupiec
Affiliation:
Department of Pharmacy, University of Oklahoma Medical Center, Oklahoma City, Oklahoma
Kathy Speigel
Affiliation:
Department of Nursing, University of Oklahoma Medical Center, Oklahoma City, Oklahoma
Stephen B. Neely
Affiliation:
Clinical and Administrative Sciences, Department of Pharmacy, University of Oklahoma College of Pharmacy, Oklahoma City, Oklahoma
Beth H. Resman-Targoff
Affiliation:
Clinical and Administrative Sciences, Department of Pharmacy, University of Oklahoma College of Pharmacy, Oklahoma City, Oklahoma
Karen K. Kinney
Affiliation:
Infectious Diseases Section, Department of Internal Medicine, University of Oklahoma College of Medicine, Oklahoma City, Oklahoma
Bryan P. White*
Affiliation:
Department of Pharmacy, University of Oklahoma Medical Center, Oklahoma City, Oklahoma Infectious Diseases Section, Department of Internal Medicine, University of Oklahoma College of Medicine, Oklahoma City, Oklahoma
*
Author for correspondence: Bryan P. White, PharmD, Infectious Diseases Section, Department of Internal Medicine, University of Oklahoma College of Medicine, 800 Stanton L. Young Blvd, AAT 7300. Oklahoma City, OK 73104. E-mail: Bryanwhite_2002@yahoo.com

Abstract

Background:

Outpatient antimicrobial therapy (OPAT) is managed by a variety of teams, but primarily through an infectious disease clinic. At our medical center, OPAT monitoring is performed telephonically by pharmacists through a collaborative practice agreement under the supervision of an infectious disease physician. The effect of telephonic monitoring of OPAT by pharmacists on patient outcomes is unknown.

Methods:

This retrospective cohort study was conducted between July 2017 and July 2018 at a 350-bed academic medical center and included adult patients discharged home on IV antibiotics or oral linezolid. The experimental group comprised patients discharged with a consultation for the OPAT management program, whereas the control group comprised patients discharged home without a consultation. The primary outcome was 30-day readmission.

Results:

In total, 399 patients were included: 243 patients in the OPAT management program group and 156 patients in the control group. The 30-day readmission rates were similar in each cohort (20% vs 19%; P = .8193); however, the 30-day readmission rates were lower in the OPAT management program for patients discharged on vancomycin (19.4% vs 39.1%; P = .004).

Conclusions:

We did not find a difference in 30-day readmissions between patients receiving pharmacy-driven OPAT management services and those who did not. Patients receiving vancomycin via OPAT had lower 30-day readmissions when included in the pharmacist-driven OPAT management program. Institutions with limited resources may consider reserving OPAT management services for patients receiving antimicrobials that require pharmacokinetic dosing and/or close monitoring.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Baseline Characteristics

Figure 1

Table 2. Primary and Secondary Outcome Analyses

Figure 2

Table 3. Stratified Analysis of 30-Day Hospital Readmission

Figure 3

Table 4. Multiple Variable Logistic Regression Model of 30-day remission