Evidence map›Paper›PMID 32766501›Full record

ArticlePediatric quality & safety

Implementation of a Modified Neonatal Early-onset Sepsis Calculator in Well-baby Nursery: a Quality Improvement Study.

Michael Zayek, Jayalakshmi Bhat, Katie Bonner, Michelle Blake, Keith Peevy, Om Prakash Jha, Rashmi Gulati, Ramachandra Bhat

Open access · diamondAbstract read
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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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Penicillin allergy testing in pregnancy improves maternal and neonatal clinical outcomes.The journal of allergy and clinical immunology. Global · 2026
    Article
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  3. Observational
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  5. Article
  6. Review
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  8. Reduction of unnecessary antibiotic days in a level IV neonatal intensive care unit.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022
    Article
  9. Article
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

8 authors at 1 institution in 1 country.

Michael ZayekDepartment of Pediatrics, Division of Neonatology, University of South Alabama, Mobile, Ala.
Jayalakshmi BhatDepartment of Pediatrics, University of South Alabama, Mobile, Ala.
Katie BonnerUniversity of South Alabama College of Medicine, Mobile, Ala.
Michelle BlakeDepartment of Nursing, Children's and Women's Hospital, Mobile, Ala.
Keith PeevyDepartment of Pediatrics, Division of Neonatology, University of South Alabama, Mobile, Ala.
Om Prakash JhaDepartment of Pediatrics, Division of Neonatology, University of South Alabama, Mobile, Ala.
Rashmi GulatiDepartment of Pediatrics, Division of Neonatology, University of South Alabama, Mobile, Ala.
Ramachandra BhatDepartment of Pediatrics, Division of Neonatology, University of South Alabama, Mobile, Ala.
University of South Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of sepsis risk scores (SRSs), calculated based on the neonatal early-onset sepsis (EOS) calculator, has been shown to limit the unwarranted sepsis evaluations and to reduce the empirical use of antibiotics in neonates.s. PURPOSE: To reduce both the sepsis evaluation rate (SER) and antibiotic initiation rate (AIR) by 25% from baseline by incorporating conservative SRS cutoff values into the routine sepsis risk assessment of well-appearing neonates born at 34 weeks and older gestation.

methodsDuring a pre quality improvement (QI) period (June 2016-August 2016), a QI team calculated SRS on all newborn infants to determine safe SRS cutoff values. During the QI-study period (September 2016-November 2017), we implemented an EOS evaluation algorithm based on 2 SRS cutoff values, 0.05 (later increased to 0.1) for sepsis evaluation and 0.3 for the initiation of antibiotic therapy. Monthly SER and AIR were summarized and analyzed by using standard statistical tests and statistical process control charts. During the surveillance phase (January 2019-June 2019), we evaluated whether previously attained improvements in SER and AIR were sustained.

resultsDuring the pre-QI period, the mean (±SD) of monthly SER and monthly AIR were 23.8% (±5.7%) and 6.2% (±0.4%), respectively. During the QI-study period, the mean (±SD) of monthly SER and monthly AIR decreased to 15% (±4.7%),

conclusionThe implementation of a modified EOS calculator-based EOS algorithm using a conservative approach was successful in reducing antibiotic exposure and the need for blood work in well-appearing neonates.

Identifiers

PMID32766501
PMCPMC7351455
OpenAlexW3040751165

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LicenceCC BY
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Registered trials

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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.