Learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?

Abstract Background Simulation-based learning with virtual patients is a highly effective method that could potentially be further enhanced by including reflection phases. The effectiveness of reflection phases for learning to diagnose has mainly been demonstrated for problem-centered instruction wi...

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Main Authors: Maximilian C. Fink, Nicole Heitzmann, Matthias Siebeck, Frank Fischer, Martin R. Fischer
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Medical Education
Subjects:
Online Access:https://doi.org/10.1186/s12909-021-02937-9
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spelling doaj-0a3ddba5df264bf794180ef8889eaf102021-10-10T11:53:27ZengBMCBMC Medical Education1472-69202021-10-0121111110.1186/s12909-021-02937-9Learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?Maximilian C. Fink0Nicole Heitzmann1Matthias Siebeck2Frank Fischer3Martin R. Fischer4Institute of Medical Education, University Hospital, LMU MunichDepartment of Psychology, LMU MunichInstitute of Medical Education, University Hospital, LMU MunichDepartment of Psychology, LMU MunichInstitute of Medical Education, University Hospital, LMU MunichAbstract Background Simulation-based learning with virtual patients is a highly effective method that could potentially be further enhanced by including reflection phases. The effectiveness of reflection phases for learning to diagnose has mainly been demonstrated for problem-centered instruction with text-based cases, not for simulation-based learning. To close this research gap, we conducted a study on learning history-taking using virtual patients. In this study, we examined the added benefit of including reflection phases on learning to diagnose accurately, the associations between knowledge and learning, and the diagnostic process. Methods A sample of N = 121 medical students completed a three-group experiment with a control group and pre- and posttests. The pretest consisted of a conceptual and strategic knowledge test and virtual patients to be diagnosed. In the learning phase, two intervention groups worked with virtual patients and completed different types of reflection phases, while the control group learned with virtual patients but without reflection phases. The posttest again involved virtual patients. For all virtual patients, diagnostic accuracy was assessed as the primary outcome. Current hypotheses were tracked during reflection phases and in simulation-based learning to measure diagnostic process. Results Regarding the added benefit of reflection phases, an ANCOVA controlling for pretest performance found no difference in diagnostic accuracy at posttest between the three conditions, F(2, 114) = 0.93, p = .398. Concerning knowledge and learning, both pretest conceptual knowledge and strategic knowledge were not associated with learning to diagnose accurately through reflection phases. Learners’ diagnostic process improved during simulation-based learning and the reflection phases. Conclusions Reflection phases did not have an added benefit for learning to diagnose accurately in virtual patients. This finding indicates that reflection phases may not be as effective in simulation-based learning as in problem-centered instruction with text-based cases and can be explained with two contextual differences. First, information processing in simulation-based learning uses the verbal channel and the visual channel, while text-based learning only draws on the verbal channel. Second, in simulation-based learning, serial cue cases are used to gather information step-wise, whereas, in text-based learning, whole cases are used that present all data at once.https://doi.org/10.1186/s12909-021-02937-9Reflection PhasesDiagnostic CompetencesSimulationMedical Education
collection DOAJ
language English
format Article
sources DOAJ
author Maximilian C. Fink
Nicole Heitzmann
Matthias Siebeck
Frank Fischer
Martin R. Fischer
spellingShingle Maximilian C. Fink
Nicole Heitzmann
Matthias Siebeck
Frank Fischer
Martin R. Fischer
Learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?
BMC Medical Education
Reflection Phases
Diagnostic Competences
Simulation
Medical Education
author_facet Maximilian C. Fink
Nicole Heitzmann
Matthias Siebeck
Frank Fischer
Martin R. Fischer
author_sort Maximilian C. Fink
title Learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?
title_short Learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?
title_full Learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?
title_fullStr Learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?
title_full_unstemmed Learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?
title_sort learning to diagnose accurately through virtual patients: do reflection phases have an added benefit?
publisher BMC
series BMC Medical Education
issn 1472-6920
publishDate 2021-10-01
description Abstract Background Simulation-based learning with virtual patients is a highly effective method that could potentially be further enhanced by including reflection phases. The effectiveness of reflection phases for learning to diagnose has mainly been demonstrated for problem-centered instruction with text-based cases, not for simulation-based learning. To close this research gap, we conducted a study on learning history-taking using virtual patients. In this study, we examined the added benefit of including reflection phases on learning to diagnose accurately, the associations between knowledge and learning, and the diagnostic process. Methods A sample of N = 121 medical students completed a three-group experiment with a control group and pre- and posttests. The pretest consisted of a conceptual and strategic knowledge test and virtual patients to be diagnosed. In the learning phase, two intervention groups worked with virtual patients and completed different types of reflection phases, while the control group learned with virtual patients but without reflection phases. The posttest again involved virtual patients. For all virtual patients, diagnostic accuracy was assessed as the primary outcome. Current hypotheses were tracked during reflection phases and in simulation-based learning to measure diagnostic process. Results Regarding the added benefit of reflection phases, an ANCOVA controlling for pretest performance found no difference in diagnostic accuracy at posttest between the three conditions, F(2, 114) = 0.93, p = .398. Concerning knowledge and learning, both pretest conceptual knowledge and strategic knowledge were not associated with learning to diagnose accurately through reflection phases. Learners’ diagnostic process improved during simulation-based learning and the reflection phases. Conclusions Reflection phases did not have an added benefit for learning to diagnose accurately in virtual patients. This finding indicates that reflection phases may not be as effective in simulation-based learning as in problem-centered instruction with text-based cases and can be explained with two contextual differences. First, information processing in simulation-based learning uses the verbal channel and the visual channel, while text-based learning only draws on the verbal channel. Second, in simulation-based learning, serial cue cases are used to gather information step-wise, whereas, in text-based learning, whole cases are used that present all data at once.
topic Reflection Phases
Diagnostic Competences
Simulation
Medical Education
url https://doi.org/10.1186/s12909-021-02937-9
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