Investigating the effect of augmented reality-based virtual patient training on occupational therapy students’ clinical decision-making: A quasi-experimental study

Technology-enhanced education is an essential element of modern universities, improving clinical decision-making, and student performance. This study aimed to design and evaluate an augmented reality-based virtual patient (VPAR) educational model to enhance clinical decision-making in upper limb nerves among occupational therapy students. This quasi-experimental study conducted from January to April 2025 with 44 occupational therapy students from Shiraz and Arak Universities of Medical Sciences. Classes were assigned by pre-existing cluster allocation to the intervention group (VPAR, n = 24) or the control group (traditional education, n = 20). Clinical decision-making skills were assessed before and one month after a three-week VPAR program using a researcher-developed questionnaire. Data were analyzed using R software (version 4.3.3) and the Generalized Estimating Equations (GEE) model to determine the effect of the intervention. The post-test probability of a correct response was 7.34 times greater than the pre-test (p = 0.0684), indicating improved performance likely due to the intervention (p = 0.0018). Additionally, the intervention group had a 3.75 times higher likelihood of correct responses compared to the control group (p = 0.0004), demonstrating the intervention's positive impact. In conclusion, the VPAR is an effective tool for enhancing clinical decision-making among occupational therapy students.

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Publication Details

Journal
PLoS ONE
Published
2026-02-04
DOI
https://doi.org/10.1371/journal.pone.0340759
Primary Topic
Surgical Simulation and Training
Type
article
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article

Investigating the effect of augmented reality-based virtual patient training on occupational therapy students’ clinical decision-making: A quasi-experimental study

Nahid Zarifsanaiey, Bahareh Zeynalzadeh Ghoochani, Farshid Chahartangi, Nahid Sharifzadeh
PLoS ONE
Surgical Simulation and Training
article

Investigating the effect of augmented reality-based virtual patient training on occupational therapy students’ clinical decision-making: A quasi-experimental study

Nahid Zarifsanaiey, Bahareh Zeynalzadeh Ghoochani, Farshid Chahartangi, Nahid Sharifzadeh
article en

Abstract

Technology-enhanced education is an essential element of modern universities, improving clinical decision-making, and student performance. This study aimed to design and evaluate an augmented reality-based virtual patient (VPAR) educational model to enhance clinical decision-making in upper limb nerves among occupational therapy students. This quasi-experimental study conducted from January to April 2025 with 44 occupational therapy students from Shiraz and Arak Universities of Medical Sciences. Classes were assigned by pre-existing cluster allocation to the intervention group (VPAR, n = 24) or the control group (traditional education, n = 20). Clinical decision-making skills were assessed before and one month after a three-week VPAR program using a researcher-developed questionnaire. Data were analyzed using R software (version 4.3.3) and the Generalized Estimating Equations (GEE) model to determine the effect of the intervention. The post-test probability of a correct response was 7.34 times greater than the pre-test (p = 0.0684), indicating improved performance likely due to the intervention (p = 0.0018). Additionally, the intervention group had a 3.75 times higher likelihood of correct responses compared to the control group (p = 0.0004), demonstrating the intervention's positive impact. In conclusion, the VPAR is an effective tool for enhancing clinical decision-making among occupational therapy students.

PLoS ONEVol. 21(2)
Shiraz University of Medical Sciences (IR)
Peace, Justice and strong institutions
Openalex Percentile: Top 66%
Surgical Simulation and Training
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Investigating the effect of augmented reality-based virtual patient training on occupational therapy students’ clinical decision-making: A quasi-experimental study — Nahid Zarifsanaiey, Bahareh Zeynalzadeh Ghoochani, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS