Evidence map›Paper›PMID 35305623›Full record

ArticleBMC medical education2022

When medical trainees encountering a performance difficulty: evidence from pupillary responses.

Xin Liu, Yerly Paola Sanchez Perdomo, Bin Zheng, Xiaoqin Duan, Zhongshi Zhang, Dezheng Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical education, 2022. 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. 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

6 authors.

Xin LiuSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
Yerly Paola Sanchez PerdomoSurgical Simulation Research Lab, Department of Surgery, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Bin ZhengSurgical Simulation Research Lab, Department of Surgery, University of Alberta, Edmonton, AB, T6G 2E1, Canada. bin.zheng@ualberta.ca.ORCID http://orcid.org/0000-0003-3476-5936
Xiaoqin DuanSurgical Simulation Research Lab, Department of Surgery, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Zhongshi ZhangSurgical Simulation Research Lab, Department of Surgery, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Dezheng ZhangSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China.

Funding

china scholarship council 201906465021fundamental research funds for the university of science and technology beijing FRF-BD-19-012Afundamental research funds for the university of science and technology beijing FRF-DF-20-04national natural science foundation of china 61801019natural sciences and engineering research council of canada RGPIN-2016-06462university of alberta provost office UOFAB TLEF RES0030076
6 · The paper itself

Abstract

backgroundMedical trainees are required to learn many procedures following instructions to improve their skills. This study aims to investigate the pupillary response of trainees when they encounter moment of performance difficulty (MPD) during skill learning. Detecting the moment of performance difficulty is essential for educators to assist trainees when they need it.

methodsEye motions were recorded while trainees practiced the thoracostomy procedure in the simulation model. To make pupillary data comparable among trainees, we proposed the adjusted pupil size (APS) normalizing pupil dilation for each trainee in their entire procedure. APS variables including APS, maxAPS, minAPS, meanAPS, medianAPS, and max interval indices were compared between easy and difficult subtasks; the APSs were compared among the three different performance situations, the moment of normal performance (MNP), MPD, and moment of seeking help (MSH).

resultsThe mixed ANOVA revealed that the adjusted pupil size variables, such as the maxAPS, the minAPS, the meanAPS, and the medianAPS, had significant differences between performance situations. Compared to MPD and MNP, pupil size was reduced during MSH. Trainees displayed a smaller accumulative frequency of APS during difficult subtask when compared to easy subtasks.

conclusionsResults from this project suggest that pupil responses can be a good behavioral indicator. This study is a part of our research aiming to create an artificial intelligent system for medical trainees with automatic detection of their performance difficulty and delivering instructional messages using augmented reality technology.

Indexed as

PupilComputer SimulationHumansHealthcare procedurePerformance difficultyPupillary responseSimulation trainingThoracostomy

Identifiers

PMID35305623
PMCPMC8934497

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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.