Evidence map›Paper›PMID 31278210›Full record

ArticlePediatrics2019

Early-Onset Sepsis Risk Calculator Integration Into an Electronic Health Record in the Nursery.

Carole H Stipelman, Elizabeth R Smith, Margarita Diaz-Ochu, Jennifer Spackman, Greg Stoddard, Kensaku Kawamoto, Julie H Shakib

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. [Advances in clinical management of neonatal sepsis].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Review
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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

7 authors at 1 institution in 1 country.

Carole H StipelmanDivision of General Pediatrics, Department of Pediatrics, carole.stipelman@hsc.utah.edu.
Elizabeth R SmithDivision of General Pediatrics, Department of Pediatrics.
Margarita Diaz-OchuDivision of General Pediatrics, Department of Pediatrics.
Jennifer SpackmanInformation Technology Service.
Greg StoddardDivision of Epidemiology, and.
Kensaku KawamotoDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah.
Julie H ShakibDivision of General Pediatrics, Department of Pediatrics.
University of Utah · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

BACKGROUND AND

objectivesAn early-onset sepsis (EOS) risk calculator tool to guide evaluation and treatment of infants at risk for sepsis has reduced antibiotic use without increased adverse outcomes. We performed an electronic health record (EHR)-driven quality improvement intervention to increase calculator use for infants admitted to a newborn nursery and reduce antibiotic treatment of infants at low risk for sepsis.

methodsThis 2-phase intervention included programming (1) an EHR form containing calculator fields that were external to the infant's admission note, with nonautomatic access to the calculator, education for end-users, and reviewing risk scores in structured bedside rounds and (2) discrete data entry elements into the EHR admission form with a hyperlink to the calculator Web site. We used statistical process control to assess weekly entry of risk scores and antibiotic orders and interrupted time series to assess trend of antibiotic orders.

resultsDuring phase 1 (duration, 14 months), a mean 59% of infants had EOS calculator scores entered. There was wide variability around the mean, with frequent crossing of weekly means beyond the 3σ control lines, indicating special-cause variation. During phase 2 (duration, 2 years), mean frequency of EOS calculator use increased to 85% of infants, and variability around the mean was within the 3σ control lines. The frequency of antibiotic orders decreased from preintervention (7%) to the final 6 months of phase 2 (1%,

conclusionsAn EHR-driven quality improvement intervention increased EOS calculator use and reduced antibiotic orders, with no increase in adverse events.

Indexed as

Anti-Bacterial AgentsEarly DiagnosisElectronic Health RecordsFemaleHumansInfant, NewbornMaleNeonatal SepsisRisk AssessmentAnti-Bacterial Agents

Identifiers

PMID31278210
PMCPMC10483882
OpenAlexW2955771688

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.