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Assessing clinical reasoning among experienced nurses as a base for a new assessment method for nursing students
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI).ORCID iD: 0000-0003-3764-4507
Dept. of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.
2011 (English)In: AMEE 2011: Vienna, Austria, Reed Messe Wien, 27-31 August 2011: Abstract book, Dundee, UK: AMEE , 2011, p. 313-313Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Background: Postgraduate nursing education is a program which require knowledge and skills that guarantee the quality of professional competence. Many courses in nursing have learning outcomes including clinical reasoning (CR). Assessment is an important part of the learning process and should assess clinically relevant performance. Virtual Patients (VPs), have successfully been used in nursing education to promote learning and also been piloted for assessment of CR. Summary of work: However, it remains to solve how to score and grade VPs for assessment. Therefore, we need to determine the best practises that the assessment should be based on. This study investigates how clinically experienced specialist nurses apply CR for clinical decision making, to create the basis for a holistic assessment method based on VPs. Summary of results: VP cases representing different subdisciplines in paediatrics are implemented in a VP-system. 40 experienced nurses will work in pairs to solve the VP-cases, and their actions are logged in terms of what they do and in what order. Think Aloud is used to capture their thinking process. Conclusions: This study will give information about how experienced nurses solve clinical cases and thus which issues that should be assessed in VP-based assessment for nursing. Take-home messages: VP-based assessment for specialist nursing education is being developed.

Place, publisher, year, edition, pages
Dundee, UK: AMEE , 2011. p. 313-313
National Category
Nursing
Identifiers
URN: urn:nbn:se:hh:diva-16218OAI: oai:DiVA.org:hh-16218DiVA, id: diva2:440649
Conference
AMEE 2011, Vienna, 29-31 August 2011
Available from: 2011-09-16 Created: 2011-09-13 Last updated: 2022-06-07Bibliographically approved

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Abstract(45 kB)150 downloads
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Forsberg, Elenita

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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