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Implementation of a 24-hour infection diagnosis protocol in the pediatric cardiac intensive care unit (CICU)

Published online by Cambridge University Press:  16 November 2022

Reema A. Chitalia*
Affiliation:
Department of Pediatrics, The Heart Institute, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
Alexis L. Benscoter
Affiliation:
Department of Pediatrics, The Heart Institute, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
Meghan M. Chlebowski
Affiliation:
Department of Pediatrics, The Heart Institute, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
Kelsey J Hart
Affiliation:
Department of Pediatrics, The Heart Institute, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
Ilias Iliopoulos
Affiliation:
Department of Pediatrics, The Heart Institute, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
Andrew M. Misfeldt
Affiliation:
Department of Pediatrics, The Heart Institute, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
Jaclyn E. Sawyer
Affiliation:
Department of Pediatrics, The Heart Institute, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
Jeffrey A. Alten
Affiliation:
Department of Pediatrics, The Heart Institute, University of Cincinnati College of Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
*
Author for correspondence: Reema A. Chitalia, RN, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229. E-mail: Reema.chitalia@cchmc.org
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Abstract

Objectives:

To reduce unnecessary antibiotic exposure in a pediatric cardiac intensive care unit (CICU).

Design:

Single-center, quality improvement initiative. Monthly antibiotic utilization rates were compared between 12-month baseline and 18-month intervention periods.

Setting:

A 25-bed pediatric CICU.

Patients:

Clinically stable patients undergoing infection diagnosis were included. Patients with immunodeficiency, mechanical circulatory support, open sternum, and recent culture-positive infection were excluded.

Interventions:

The key drivers for improvement were standardizing the infection diagnosis process, order-set creation, limitation of initial antibiotic prescription to 24 hours, discouraging indiscriminate vancomycin use, and improving bedside communication and situational awareness regarding the infection diagnosis protocol.

Results:

In total, 109 patients received the protocol; antibiotics were discontinued in 24 hours in 72 cases (66%). The most common reasons for continuing antibiotics beyond 24 hours were positive culture (n = 13) and provider preference (n = 13). A statistical process control analysis showed only a trend in monthly mean antibiotic utilization rate in the intervention period compared to the baseline period: 32.6% (SD, 6.1%) antibiotic utilization rate during the intervention period versus 36.6% (SD, 5.4%) during the baseline period (mean difference, 4%; 95% CI, −0.5% to −8.5%; P = .07). However, a special-cause variation represented a 26% reduction in mean monthly vancomycin use during the intervention period. In the patients who had antibiotics discontinued at 24 hours, delayed culture positivity was rare.

Conclusions:

Implementation of a protocol limiting empiric antibiotic courses to 24 hours in clinically stable, standard-risk, pediatric CICU patients with negative cultures is feasible. This practice appears safe and may reduce harm by decreasing unnecessary antibiotic exposure.

Information

Type
Original Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Fig. 1. Key driver diagram. Key driver diagram for our quality improvement project with the global aim to improve patient safety by reducing unnecessary antibiotic exposure. The theory for improvement is depicted with the specific interventions that drove plan–do–study–act (PDSA) cycles on the right. The primary intervention was the creation of a standardized 24-hour infection diagnosis protocol. Using a specific, measurable, achievable, relevant, and time-bound (SMART) process, we aimed to decrease total antibiotic utilization rate by 10% within 1 year.

Figure 1

Table 1. Patient Characteristics (N = 62)

Figure 2

Fig. 2. Total antibiotic monthly utilization rate. Statistical process control p-chart showing mean monthly total antibiotic utilization rate, representing percentage of patient days with exposure to any antibiotic except surgical prophylaxis. The baseline period was the first 12 months. The intervention period was the next 18 months, denoted by the yellow annotation box. There was no statistical change in rate (36.6%) during the intervention period, using traditional statistical process control rules. However, 6 data points are below the baseline centerline after the EMR order set was initiated, which signals a trend and change in the system.

Figure 3

Fig. 3. Vancomycin monthly utilization rate. Statistical process control p-chart showing mean monthly vancomycin utilization rate, representing percentage of patient days with exposure to ≥1 dose of vancomycin. The baseline was the first 12 months. The intervention period was the next 18 months, denoted by the yellow annotation box. Starting during month 4 of the intervention, a special-cause variation occurred, as determined by 8 consecutive months below the baseline rate. A centerline shift represents a significant 26% reduction in the vancomycin utilization rate from 16.8% to 12.4% during the intervention period.

Figure 4

Table 2. Infectious Laboratory Values

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