ArticleJournal of the American College of Emergency Physicians open2022
A chart review tool to systematically assess the safety of prehospital care for children with out-of-hospital cardiac arrest.
Article in Journal of the American College of Emergency Physicians open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- A medically grounded LLM agent-based tool to detect patient safety events in medical records.PLOS digital health · 2026Article
- RescueGPT: An Automated System for Detecting Adverse Safety Events in Prehospital Emergency Medical Service Notes With a Zero-Shot Approach With Large Language Models: A Proof-of-Concept Study.Learning health systems · 2026Article
- Adverse Safety Events in Emergency Medical Services Care of Children With Out-of-Hospital Cardiac Arrest.JAMA network open · 2024Article
- A chart review tool to systematically assess the safety of prehospital care for children with out-of-hospital cardiac arrest.Journal of the American College of Emergency Physicians open · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Objective: Create an easy-to-use pediatric out-of-hospital cardiac arrest (OHCA)-specific chart review tool to reliably detect severe adverse safety events (ASEs) in the prehospital care of children with OHCA. Methods: We revised our previously validated pediatric prehospital adverse event detection system (PEDS) tool, used to evaluate ASEs in the prehospital care of children during emergent calls, to create an OHCA-specific chart review tool. We developed decision support for reviewers, reviewer training, and a dedicated section for chart data abstraction. We randomly selected 28 charts for independent review by 2 expert reviewers who determined the presence or absence of a severe ASE for each care episode and identified the domain of care and preventability for each ASE. We calculated inter-rater agreement in the assessment of the presence or absence of a severe ASE using Gwet's first-order agreement coefficient (AC1). Results: The PEDS-OHCA chart review tool has 6 sections, with a minimum of 70 and maximum of 667 total possible fields. We found inter-rater agreement of 0.83 (95% confidence interval, 0.63-0.99) between our 2 reviewers for the overall detection of a severe ASE and an average time to complete of 8 minutes (range, 2-25 minutes). Inter-rater agreement in the detection of a severe ASE in each individual domain ranged from 0.36 to 0.96. Conclusions: The PEDS-OHCA is the first chart review tool to systematically evaluate the safety and quality of EMS care for children with OHCA. This tool may help improve understanding of the quality of EMS care for children with OHCA, which is essential to improving outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.