Evidence map›Paper›PMID 41510188›Full record

ArticleJournal of the American College of Emergency Physicians open2026

Analysis of Pediatric Cervical Spine Injury Evaluation Workflow in the Emergency Department.

Annie J Truelove, Megan E Gregory, Fahd A Ahmad, Sean P Pajak, Nicole C Hammer, Daniel Corwin, Leah Tzimenatos, Scott O King, Matthew Szadkowski, Martin J Herman and 1 more

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Annie J TrueloveAbigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.
Megan E GregoryDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA.
Fahd A AhmadWashington University School of Medicine in St. Louis, Department of Pediatrics, St. Louis, Missouri, USA.
Sean P PajakDrexel University College of Medicine, Philadelphia, Pennsylvania, USA.
Nicole C HammerDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA.
Daniel CorwinChildren's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Leah TzimenatosDepartment of Emergency Medicine, University of California, Davis School of Medicine, Sacramento, California, USA.
Scott O KingCollege of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Matthew SzadkowskiDivision of Pediatric Emergency Medicine, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Martin J HermanSt. Christopher's Hospital for Children, Philadelphia, Pennsylvania, USA.
Julie C LeonardAbigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio, USA.

Funding

Development and Testing of a Pediatric Cervical Spine Injury Risk Assessment ToolR01HD091347 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI LEONARD, JULIE C. · 2018 to 2022
$3.2M
NICHD NIH HHS R01 HD091347
6 · The paper itself

Abstract

Objectives: The decision to image children for cervical spine injuries (CSI), an uncommon injury with high associated morbidity and mortality, is complex. X-rays and computed tomography are often used to screen for CSI; however, radiation exposure increases lifetime cancer risk. We recently developed a CSI prediction rule to inform pediatric imaging decisions. To guide implementation, we conducted a workflow analysis of CSI screening in children after blunt trauma. Methods: We interviewed emergency departments (ED) and trauma clinicians at 21 hospitals following the applied cognitive task analysis task diagram, knowledge audit, and simulation interview approaches. Interviews were coded using a combined deductive-inductive approach to construct a workflow diagram and identify critical decisions with associated workflow junctures, decision makers, physical locations, and cognitive demands. We noted areas of high, medium, and low variability. Results: We interviewed 48 participants (emergency medicine physicians and advanced practice providers [n = 22], nurses [n = 14], and surgeons [n = 12]) across 21 hospitals located in the Western (n = 15), Northeastern (n = 5), and Midwestern (n = 1) USA. Critical decisions within the pediatric CSI imaging decision workflow included trauma triaging, spinal motion restriction application, clinical clearance, decision to image, and imaging type. There was moderate-to-high variability between hospitals for most workflow junctures and decision makers. However, more consistent patterns emerged, such as a high level of ED and trauma attending involvement throughout the process. The knowledge audit revealed a heavy cognitive load associated with decision making. "Big picture," "past and future," "noticing", "job smarts," and "equipment" were highly relevant cognitive demands. Conclusion: Moderate-to-high between-hospital variability in workflow for decision making around CSI evaluation for pediatric trauma patients could potentially complicate CSI prediction rule implementation.

Indexed as

applied cognitive task analysis (ACTA)cervical spine injury (CSI)emergency departmentimagingpediatric

Identifiers

PMID41510188
PMCPMC12774723

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.