Evidence map›Paper›PMID 39578873›Full record

ArticleBMC medical education2024

Comparison of NeedleTrainer™ and ultrasound tissue simulator in a simulated environment among novice regional anaesthesia practitioners.

Mohammad Nizam Mokhtar, Siti Aisyah Suhaini, Weng Ken Chan, Iskandar Khalid, Kok Wang Tan, Angelina Chia Chia Lim, Maryam Budiman, Afifah Samsudin, Asmah Azizeh, Vimal Varma Spor Madiman and 1 more

Abstract readComparative Study
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Mohammad Nizam Mokhtar *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia. drnizam@ukm.edu.my.
Siti Aisyah Suhaini *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia.
Weng Ken Chan *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia.
Iskandar Khalid *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia.
Kok Wang Tan *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia.
Angelina Chia Chia Lim *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia.
Maryam Budiman *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia.
Afifah Samsudin *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Teknologi MARA, Jalan Hospital, Sungai Buloh, 47000, Selangor, Malaysia.
Asmah Azizeh *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Teknologi MARA, Jalan Hospital, Sungai Buloh, 47000, Selangor, Malaysia.
Vimal Varma Spor Madiman *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Teknologi MARA, Jalan Hospital, Sungai Buloh, 47000, Selangor, Malaysia.
Azarinah Izaham *Department of Anaesthesiology & Intensive Care, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, 56000, Bandar Tun Razak, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUtilising ultrasound technology has resulted in higher success and lower complication rates during regional anaesthesia (RA) procedures. Proper training is necessary to accurately identify structures, optimise images, and improve hand-eye coordination. Simulation training using immersive virtual environments and simulation models has enabled this competency training to be conducted safely before performing on patients. We conducted a study to compare the simulator performance and users' feedback on a Blue Phantom Regional Anaesthesia Ultrasound Training Block and NeedleTrainer™.

methodsForty-seven participants were recruited via convenient sampling during a RA workshop for novice practitioners. They were divided into the N or B group and then crossover to experience using both Blue Phantom and NeedleTrainer model. Time-to-reach-target, first-pass success rate, and complication rate were assessed, while the learning and confidence scores were rated using six-item and three-item questionnaires, respectively, via a 5-point Likert scale.

resultsBlue Phantom model has a longer time-to-target as compared to the NeedleTrainer model (16 ± 8 vs 8 ± 3 s, p < 0.001), higher first- pass success rate (100% vs 80.9%), and lower complication rate (0% vs 19.1%). Higher overall learning satisfaction scores (28 ± 4 vs 25 ± 4, p = 0.003) and confidence scores after training (13 ± 2 vs 12 ± 2, p < 0.001) were recorded for the Blue Phantom model.

conclusionsWe postulated that the artificial intelligence structure recognition software enables NeedleTrainer users to attain shorter time-to-target. That being said, Blue Phantom provides better operator learning satisfaction, improved confidence, higher success and lower complication rates among novice RA practitioners, possibly due to greater tactile feedback during the simulated training.

Indexed as

Anesthesia, ConductionClinical CompetenceSimulation TrainingAdultAnesthesiologyCross-Over StudiesFemaleHumansMalePhantoms, ImagingUltrasonography, InterventionalBlue phantomNeedleTrainerRegional anaesthesiaUltrasound simulator

Identifiers

PMID39578873
PMCPMC11583760

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.