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A Rubric to Assess Students Clinical Reasoning When Encountering Virtual Patients
Karolinska Inst, Sweden.
Karolinska Inst, Sweden.
Karolinska Inst, Sweden.
Karolinska Inst, Sweden.
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2018 (English)In: Journal of Nursing Education, ISSN 0148-4834, E-ISSN 1938-2421, Vol. 57, no 7, p. 408-+Article in journal (Refereed) Published
Abstract [en]

Background: Training with virtual patients has been proposed as a suitable learning activity to improve clinical reasoning skills for nursing students. However, published instruments with the capacity to assess students reasoning process in the encounter with virtual patients are lacking. Method: Deductive and abductive analyses were used to adapt the Lasater Clinical Judgment Rubric (LCJR) to assess nursing students clinical reasoning skills in the encounter with virtual patients. The new rubrics ability to capture nursing students clinical reasoning processes was tested using deductive analysis and statistical analysis. Results: A grading rubric for virtual patients, the vpLCJR, was developed. Cronbachs alpha showed .892, indicating good internal consistency. Conclusion: The rubric vpLCJR, which deconstructs aspects of clinical reasoning for both students and faculty members, can be used to clarify expectations, assess students clinical reasoning process, and provide feedback for learning when nursing students encounter virtual patients.

Place, publisher, year, edition, pages
SLACK INC , 2018. Vol. 57, no 7, p. 408-+
National Category
Nursing
Identifiers
URN: urn:nbn:se:liu:diva-149684DOI: 10.3928/01484834-20180618-05ISI: 000437235300005PubMedID: 29958310OAI: oai:DiVA.org:liu-149684DiVA, id: diva2:1235310
Available from: 2018-07-25 Created: 2018-07-25 Last updated: 2019-08-23

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Henriksson Welin, Elisabet

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Division of Nursing ScienceFaculty of Medicine and Health SciencesDepartment of Rheumatology
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf