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A qualitative analysis of virtual patient descriptions in healthcare education based on a systematic literature review
University of Munich, Germany; Geisel School Medical Dartmouth, NH USA.
Jagiellonian University, Poland; Karolinska Institute, Sweden.
University of Munich, Germany.
Linköpings universitet, Avdelningen för samhällsmedicin.ORCID iD: 0000-0002-1110-0782
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2016 (English)In: BMC Medical Education, E-ISSN 1472-6920, Vol. 16, no 146Article, review/survey (Refereed) Published
Abstract [en]

Background: Virtual Patients (VPs) have been in the focus of research in healthcare education for many years. The aim of our study was to analyze how virtual patients are described in the healthcare education literature, and how the identified concepts relate to each other. Methods: We performed a literature review and extracted 185 descriptions of virtual patients from the articles. In a qualitative content analysis approach we inductively-deductively developed categories and deducted subcategories. We constructed a concept map to illustrate these concepts and their interrelations. Results: We developed the following five main categories: Patient, Teacher, Virtual Patient, Curriculum, and Learner. The concept map includes these categories and highlights aspects such as the under-valued role of patients in shaping their virtual representation and opposing concepts, such as standardization of learner activity versus learner-centeredness. Conclusions: The presented concept map synthesizes VP descriptions and serves as a basis for both, VP use and discussions of research topics related to virtual patients.

Place, publisher, year, edition, pages
BIOMED CENTRAL LTD , 2016. Vol. 16, no 146
Keywords [en]
Virtual patients; Qualitative content analysis; Concept mapping
National Category
Nursing
Identifiers
URN: urn:nbn:se:mdh:diva-70176DOI: 10.1186/s12909-016-0655-8ISI: 000375989500002PubMedID: 27177766Scopus ID: 2-s2.0-84971328615OAI: oai:DiVA.org:mdh-70176DiVA, id: diva2:1938548
Note

Funding Agencies|European Unions Horizon research and innovation programme under the Marie Sklodowska-Curie grant [654857]

Available from: 2025-02-18 Created: 2025-02-18 Last updated: 2025-10-10Bibliographically approved

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Edelbring, Samuel

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