ArticlePediatrics2019
Early-Onset Sepsis Risk Calculator Integration Into an Electronic Health Record in the Nursery.
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.
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Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Clinical Outcomes of the Adapted AAP 2019 Guidelines on Early Onset Sepsis in Thailand.Antibiotics (Basel, Switzerland) · 2025Article
- [Advances in clinical management of neonatal sepsis].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024Review
- Antibiotic Treatment for Well-Appearing Infants Born at ≥35 Weeks' Gestation to Mothers with Chorioamnionitis Before and After Implementation of Neonatal Early-Onset Sepsis Calculator.Journal of patient-centered research and reviews · 2024Article
- Barriers and Facilitators to the Implementation of the Early-Onset Sepsis Calculator: A Multicenter Survey Study.Children (Basel, Switzerland) · 2023Article
- Categorical Risk Stratification for Neonatal Early Onset Sepsis using Suspected Intraamniotic Infection and the Newborn Exam.Research square · 2023Article
- Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review.JMIR medical informatics · 2022Article
- The impact of recency and adequacy of historical information on sepsis predictions using machine learning.Scientific reports · 2021Article
- Early-onset sepsis risk calculator: a review of its effectiveness and comparative study with our evidence-based local guidelines.Italian journal of pediatrics · 2021Article
- Relevance of Biomarkers Currently in Use or Research for Practical Diagnosis Approach of Neonatal Early-Onset Sepsis.Children (Basel, Switzerland) · 2020Review
- Sensitivity of the Kaiser Permanente early-onset sepsis calculator: A systematic review and meta-analysis.EClinicalMedicine · 2020Article
- Impact of Integrating a Neonatal Early-Onset Sepsis Risk Calculator into the Electronic Health Record.Pediatric quality & safetyArticle
- Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic.Ophthalmology. GlaucomaArticle
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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.