Evidence map›Paper›PMID 39381872›Full record

ArticleEmergency medicine Australasia : EMA2025

Risk-benefit analysis of a multi-site radiographer comment model for emergency departments.

Ingrid Klobasa, Gary Denham, Derek J Roebuck, Jenny Sim, Marilyn Baird, Dennis Petrie, Joshua Best, James Abood, Alexandra Tonks, Caitlin Tu and 1 more

Abstract read
In one paragraph

Article in Emergency medicine Australasia : EMA, 2025. 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
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0citing papers in PubMed
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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.

Ingrid KlobasaDepartment of Medical Imaging and Radiation Sciences, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-9640-7910
Gary DenhamManning Rural Referral Hospital, Taree, New South Wales, Australia.
Derek J RoebuckPaediatric Radiology, University of Western Australia, Perth, Western Australia, Australia.
Jenny SimDepartment of Medical Imaging and Radiation Sciences, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Marilyn BairdDepartment of Medical Imaging and Radiation Sciences, School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.
Dennis PetrieMonash Business School, Monash University, Melbourne, Victoria, Australia.
Joshua BestMedical Imaging Department, Wyong Hospital, Central Coast Local Health District, Wyong, New South Wales, Australia.
James AboodMedical Imaging Department, Bathurst Hospital, Western NSW Local Health District, Bathurst, New South Wales, Australia.
Alexandra TonksSAN Radiology and Nuclear Medicine Department, Sydney Adventist Hospital, Sydney, New South Wales, Australia.ORCID 0000-0002-4851-6108
Caitlin TuSAN Radiology and Nuclear Medicine Department, Sydney Adventist Hospital, Sydney, New South Wales, Australia.
Christopher JonesMedical Imaging Department, Broken Hill Hospital, Far West Local Health District, Broken Hill, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCritical/urgent X-ray findings are not always communicated in an appropriate time frame to ED physicians. The practice of radiographers alerting referrers to clinically significant image findings (verbally, via image flags or written comment) is noted internationally but risk assessment data is unavailable in the literature. A hybrid radiographer comment and alert model was piloted in New South Wales and a risk-benefit assessment conducted for timely and safe communication of abnormal X-ray appearances to ED physicians.

methodsRadiographer comments (n = 1102) were provided to five New South Wales EDs by 69 radiographers for a period of 3-12 months. Site auditors classified comments as true positive (TP), false positive (FP) or indeterminate (ID) with respect to the radiology report. FP comments were investigated with ED referrers and a low-medium-high-risk assessment was provided by two independent reviewers.

resultsA total of 42 FP (3.9%; 95% confidence interval [CI] 2.9-5.3) comments were analysed for any adverse outcomes. Risk assessments demonstrated 37 low, 5 low-moderate and no high-risk cases. A total of 282 direct or potential patient benefits were identified (26.4%; 95% CI 23.8-29.1). A total of 42 radiology report discrepancies were incidentally found: (3.9%; 95% CI 2.9-5.3). Audit results demonstrated areas where the radiographer comment could mitigate risk.

conclusionThe provision of radiographer alerts with a written comment for ED was found to be low risk to patients in the pilot study. Radiographers communicating directly with the emergency team when abnormal image appearances are detected can reduce diagnostic error and improve patient safety and health outcomes.

Indexed as

Emergency Service, HospitalRadiographyHumansNew South WalesPilot ProjectsReferral and ConsultationRisk Assessmentabnormality detectionradiographer commentradiographer image interpretation

Identifiers

PMID39381872
PMCPMC11744428

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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.