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Antimicrobial agents are frequently used empirically and include therapy for both Gram-positive and Gram-negative bacteria. In Brazil, multidrug-resistant Gram-negative pathogens are the cause of most nosocomial infections in ICUs. Therefore, the excessive use of antimicrobials to treat Gram-positive bacteria represents an opportunity to reduce unnecessary antibiotic use in critically ill patients. Besides, the success of a program aimed at reducing the use of antibiotics to treat gram-positive bacteria could also evolve to include other microorganisms, such as gram-negative bacteria and fungi. Analyzing data from the ICUs of the associated hospital network, high use of broad-spectrum antibiotics and vancomycin were observed, although MRSA infections rarely occur.
Thus, if physicians could identify patients at high risk of infection by gram-positive bacteriaa reduction in antibiotic consumption could occur.. The more accurate treatments could result in better patient outcomes, reduce the antibiotics' adverse effects, and decrease the prevalence of multidrug-resistant bacteria. Therefore, our main goal is to reduce antibiotic use by applying an intervention with three main objectives: (i) to educate the medical team, (ii) to provide a tool that can help physicians prescribing antibiotics, and (iii) to find and reduce differences in antibiotic prescription between hospitals with low- and high-resources.
To achieve these objectives, he same intervention will be applied in ICUs of two hospitals with different access to resources. Both are part of a network of hospitals associated with our group.
First, baseline data corresponding to patient characteristics, antibiotic use, microbiological outcomes and current administration programs in practice at selected hospitals will be analyzed. TThen, a predictive model to detect patients at high risk of Gram-positive infection will be developed. After that, t will be applied for three months as an educational tool to improve medical decisions regarding antibiotic prescription. After obtaining feedback and suggestions from physicians and other hospital and infection control members, the model will be adjusted and applied in the two selected hospitals for use in real time. For one year, we will monitor the intervention and analyze the data monthly.
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This proposal is a five-step quality improvement project.
After that, a meeting with all ICU and infection control members from participating hospitals will be held. A specific probability cutoff will be defined for starting gram-positive coverage. For example, the members can define that they feel comfortable not treating empirically gram-positive bacteria if the predicted probability is below a given threshold (say 5%). Quality improvement protocol will also involve other traditional methods to decrease antibiotic use, including audit feedback and daily remembrances to withdraw gram-positive antibiotic coverage. Educational material will be developed and provided for all sites, as well as in-site training.
This phase will motivate the involvement of the hospital members, especially physicians, which can improve engagement to the intervention to be implemented afterward. Hopefully, it will also generate insights and feedback from the medical team to improve the tool to be implemented.
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100 participants in 1 patient group
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Fernando Bozza, PhD
Data sourced from clinicaltrials.gov
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