Evidence map›Paper›PMID 40330428›Full record

ArticlePediatric quality & safety

Reduction of Vancomycin Use in a Neonatal Intensive Care Unit: A Quality Improvement Project.

Sejal M Bhavsar, Erica B Casella, Maureen Kim, Patrick Lake, Sabrina Malik, Kaitlyn Philips, Pooja Shah, Shevaitha T Shyamalan, Stefan Hagmann

Abstract read
In one paragraph

Article in Pediatric quality & safety. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Sejal M BhavsarFrom the Division of Pediatric Infectious Diseases, Joseph M. Sanzari Children's Hospital, Hackensack, N.J.
Erica B CasellaDepartment of Pediatrics, Joseph M. Sanzari Children's Hospital, Hackensack, N.J.
Maureen KimDepartment of Pediatrics, Hackensack Meridian School of Medicine, Nutley, N.J.
Patrick LakeDepartment of Pediatrics, Hackensack Meridian School of Medicine, Nutley, N.J.
Sabrina MalikDepartment of Pediatrics, Hackensack Meridian School of Medicine, Nutley, N.J.
Kaitlyn PhilipsDepartment of Pediatrics, Hackensack Meridian School of Medicine, Nutley, N.J.
Pooja ShahDepartment of Pharmacy, Hackensack University Medical Center, Hackensack, N.J.
Shevaitha T ShyamalanDepartment of Infection Prevention, Hackensack University Medical Center, Hackensack, N.J.
Stefan HagmannFrom the Division of Pediatric Infectious Diseases, Joseph M. Sanzari Children's Hospital, Hackensack, N.J.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Late-onset sepsis (LOS) is a common cause of neonatal morbidity and mortality. Professional organizations recommend avoiding empiric vancomycin use in neonates without risk factors for methicillin-resistant Methods: We included neonates admitted to our level-3 NICU from March 15, 2023, to February 29, 2024, with suspected LOS in the intervention period. A multidisciplinary team used the Model for Improvement. Interventions tested using plan-do-study-act cycles included provider education, clinical practice guideline (CPG) implementation, and prospective audit with feedback (PAF). The outcome measure was the mean vancomycin AUR measured in days of therapy per 1,000 patients days, plotted monthly and analyzed for special cause variation. The process measure was CPG adherence. We tracked balancing measures related to morbidity and mortality. Results: During the intervention period, 50 neonates underwent LOS evaluations. The mean vancomycin AUR decreased by 37.1%, from 27 to 17 days of therapy per 1,000 patient days, and was sustained postintervention. CPG adherence was 96%. Three neonates required changing from oxacillin to vancomycin for coagulase-negative staphylococci bacteremia (n = 2) and urinary tract infection (n = 1). There were no drug-related morbidity or sepsis-related mortality events. Conclusions: This quality improvement project allowed a safe, rapid and sustained reduction of NICU-wide vancomycin use. Provider education, CPG implementation, and PAF were critical to optimizing empiric antibiotic management.

Identifiers

PMID40330428
PMCPMC12052236

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.