Evidence map›Paper›PMID 39497110›Full record

Trial reportBMC medical education2024

Can virtual reality technology be used for empathy education in medical students: a randomized case-control study.

Huang-Li Lin, Yu-Ching Wang, Man-Lin Huang, Nan-Wen Yu, I Tang, Yu-Chen Hsu, Yu-Shu Huang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  4. Big Ideas Soapbox: Top 3 proposals presented at Family Medicine Forum 2025.Canadian family physician Medecin de famille canadien · 2026
    Article
  5. Article
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  8. Review
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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

7 authors.

Huang-Li LinDepartment of Psychiatry, Chang-Gung Memorial Hospital, Linkou, 5, Fu-Shing St., Kwei-Shan, Taoyuan, 333, Taiwan.
Yu-Ching WangDepartment of Psychiatry, Chang-Gung Memorial Hospital, Linkou, 5, Fu-Shing St., Kwei-Shan, Taoyuan, 333, Taiwan.
Man-Lin HuangInstitute of Information Systems and Applications, National Tsing Hua University, Hsinchu, Taiwan.
Nan-Wen YuChang Gung University College of Medicine, Taoyuan, Taiwan.
I TangDepartment of Psychiatry, Chang-Gung Memorial Hospital, Linkou, 5, Fu-Shing St., Kwei-Shan, Taoyuan, 333, Taiwan.
Yu-Chen Hsu *Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan. ychsu@mx.nthu.edu.tw.
Yu-Shu Huang *Department of Psychiatry, Chang-Gung Memorial Hospital, Linkou, 5, Fu-Shing St., Kwei-Shan, Taoyuan, 333, Taiwan. yushuhuang1212@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmpathy is an important factor in the doctor-patient relationship, but mental illness is more difficult to understand than other diseases. Besides traditional skills, virtual reality (VR) has been identified as a promising tool in empathy education. This study aimed to investigate the ability of empathy enhancement, the feasibility of depression education, and the changes in thoughts and attitudes in medical students through a single VR experience.

methodsWe recruited medical students and randomly assigned them to two groups based on their completed Interpersonal Response Index scores. Two sets of VR systems were provided; the intervention group experienced the daily life of the depressed medical student, while the control group experienced the general medical student scenario. The improvement of empathy was assessed using the Jefferson Scale of Empathy-Health Professional Students (JSE-HPS), and the change of attitude was assessed through the Implicit Association Test. In addition, other questionnaires were used to evaluate the user experience of this VR system, and correlation analysis was conducted to examine the association between the use of VR and changes in the JSE and IAT scores.

resultsA total of 59 medical students were enrolled in this study. The intervention group showed a significant increase in the perspective-taking (pre: mean 5.817, SD 0.536; post: mean 5.947, SD 0.620; P = .03) and compassionate care (pre: mean 5.546, SD 0.581; post: mean 5.721, SD 0.629; P = .01) domains of the JSE score and a significant decrease in the standing in the patient's shoes (SP) domain (pre: mean 3.583, SD 1.253; post: mean 2.967, SD 1.252; P = .002). The Pearson correlation analysis found a significant positive correlation between the JSE score with immersion aspect (r = .308, P = .049) and presence aspect (r = .415, P = .01), and we also found a significant negative correlation between the IAT score and presence aspect (r=-.333, P = .04).

conclusionsThis study is the first randomized case-control study to investigate the effect of two different versions of VR on empathy development toward depression for medical students. Although the single VR experience was unable to induce a great improvement in empathy or attitude, the VR system could help medical students enhance their understanding of depressive disorders.

trial registrationThis trial was retrospectively registered in the Australian New Zealand Clinical Trials Registry (ANZCTR) (21/03/2024, ACTRN12624000297527). https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=386683&isReview=true .

Indexed as

EmpathyPhysician-Patient RelationsStudents, MedicalVirtual RealityAdultAttitude of Health PersonnelCase-Control StudiesDepressionEducation, Medical, UndergraduateFemaleHumansMaleSurveys and QuestionnairesYoung AdultEducationEmpathyMajor depressive disorderMental illnessVirtual reality

Identifiers

PMID39497110
PMCPMC11536554

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.