Evidence map›Paper›PMID 35722050›Full record

ArticleAustralasian journal of ultrasound in medicine2022

Describing the learning curve of novices for the diagnosis of paediatric distal forearm fractures using point-of-care ultrasound.

Peter J Snelling, Philip Jones, Mark Moore, Peta Gimpel, Rosemary Rogers, Kong Liew, Robert S Ware, Gerben Keijzers

Open access · hybridAbstract read
In one paragraph

Article in Australasian journal of ultrasound in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Diagnostic accuracy of ultrasound versus X-ray for distal forearm fractures in children and adolescents: a systematic review and meta-analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Diversity in ultrasound practice and education.Australasian journal of ultrasound in medicine · 2022
    Article
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

8 authors at 2 institutions in 1 country.

Peter J SnellingSchool of Medicine and Dentistry and Menzies Health Institute Queensland Griffith University Southport Queensland Australia.ORCID https://orcid.org/0000-0001-8579-445X
Philip JonesSchool of Medicine and Dentistry and Menzies Health Institute Queensland Griffith University Southport Queensland Australia.
Mark MooreEmergency Department Queensland Children's Hospital South Brisbane Queensland Australia.
Peta GimpelEmergency Department Queensland Children's Hospital South Brisbane Queensland Australia.
Rosemary RogersEmergency Department Queensland Children's Hospital South Brisbane Queensland Australia.
Kong LiewEmergency Department Queensland Children's Hospital South Brisbane Queensland Australia.
Robert S WareSchool of Medicine and Dentistry and Menzies Health Institute Queensland Griffith University Southport Queensland Australia.
Gerben KeijzersSchool of Medicine and Dentistry and Menzies Health Institute Queensland Griffith University Southport Queensland Australia.
Children's Health Queensland Hospital and Health Service · AUGriffith University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The learning curve of nurse practitioners (NPs) to accurately diagnose paediatric distal forearm fractures using point-of-care ultrasound (POCUS) was investigated. Methods: Each NP's learning curve was calculated as cumulative diagnostic accuracy against a number of scans performed. The curve's plateau represented the attainment of competency. Secondary outcomes were the comparisons before and after this cut-off of diagnostic accuracy, classification of diagnostic errors, pain scores, duration and preference. Results: Five NPs performed 201 POCUS studies with diagnostic accuracy plateauing at 90%, providing a 'cut-off' point at scan 15. Accuracy of POCUS scanning before and after the fifteenth scan was 81% (95% CI 70%-89%) and 90% (95% CI 84%-94%), respectively, demonstrating 9% improvement (P = 0.07). There was a 10% reduction in image interpretation errors. After fifteen scans, POCUS became faster (mean difference (MD) 2.6 min [95% CI 2.0-3.3], P < 0.001), less painful (MD 0.61 points FPSR scale [95% CI 0.04-1.18], P = 0.04) and more preferred by NPs (63% vs 77%, P = 0.03). Discussion: The learning curve of POCUS-novice NPs independently scanning paediatric distal forearm injuries plateaued with mean diagnostic accuracy of 90% after 15 scans, suggesting competency was attained at this cut-off, supported by higher accuracy, being faster, less painful and more preferred by NPs. Future training packages in forearm POCUS should further address image interpretation and provide ongoing expert feedback. Conclusions: The findings from this study suggest that competency in paediatric distal forearm POCUS can be attained by novices after a short training course and approximately 15 scans.

Indexed as

competencyfractureslearning curvemusculoskeletalnurse practitionerpaediatric distal forearmpoint‐of‐care ultrasoundtraining

Identifiers

PMID35722050
PMCPMC9201201
OpenAlexW4220683474

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.