Change search
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
Preoperativa uppvärmningsmetoder - En systematiskt litteraturstudie
Karlstad University.
Karlstad University.
2017 (Swedish)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , p. 33
Keywords [sv]
Hypotermi, Preoperativ uppvärmning, Patientsäkerhet
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:kau:diva-55308OAI: oai:DiVA.org:kau-55308DiVA, id: diva2:1113574
Subject / course
Emergency Care Specialist Nursing, Operating Room Nursing, Graduate Diploma*
Educational program
Specialist Nursing -Theatre Care (60 ECTS credits)
Supervisors
Examiners
Available from: 2017-06-22 Created: 2017-06-21 Last updated: 2017-06-22Bibliographically approved

Open Access in DiVA

fulltext(1046 kB)148 downloads
File information
File name FULLTEXT01.pdfFile size 1046 kBChecksum SHA-512
16590993c5d8626ebd8234dda080467e4de0a745e0b0a32b1ca0220bf2113a46e3eb9b09e9dabaa2a5522d80541b3bed7a65aacea490ce5d49653b75a7c4e5aa
Type fulltextMimetype application/pdf

By organisation
Karlstad University
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 148 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 150 hits
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