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The Use of Shared Priorities in Prehospital Medical Management
Linköping University, Department of Computer and Information Science.
2017 (English)Independent thesis Basic level (degree of Bachelor), 12 credits / 18 HE creditsStudent thesis
Abstract [en]

This thesis had the purpose of measuring shared understanding using Shared Priorities (SP) and mental workload using the DATMA-questionnaire within prehospital management teams. This was done during training session that uses the Emergo Train System (ETS), at the Centre of Teaching and Research in Disaster Medicine and Traumatology. Three instructors that work and manage the courses at KMC were also interviewed as a part of the study to get their point of view on SP. A mix-method was used to analyze the data. To calculate SP Kendall’s W was used, and a thematic analysis was used to analyze the interviews. The result of this study found three significant correlations: Overall Team Workload and Team Performance, SP and the indicators from ETS, and Team Performance and the performance indicators from the ETS. The thematic analysis resulted in three themes (Perks and Cons, Approaches, and Educational Initiative) with eight sub-themes.  The conclusion of this study is based on the fact that SP is suitable for measuring and has measured the shared understanding within teams in this specific domain but also that the instructors, that are the possible users of SP, have a positive attitude towards it.

Place, publisher, year, edition, pages
2017.
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-138763ISRN: LIU-IDA/KOGVET-G--17/011--SEOAI: oai:DiVA.org:liu-138763DiVA, id: diva2:1114230
Subject / course
Cognitive science
Available from: 2017-06-26 Created: 2017-06-22 Last updated: 2018-03-14Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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