Mid Sweden University

miun.sePublications
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
Att möta patienter med blodsmitta: Litteraturöversikt utifrån sjuksköterskans perspektiv
Mid Sweden University, Faculty of Human Sciences, Department of Nursing Sciences.
Mid Sweden University, Faculty of Human Sciences, Department of Nursing Sciences.
2021 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2021. , p. 34
Keywords [sv]
Blodsmitta, Erfarenhet, Kunskaper, Omvårdnad, Sjuksköterska, Upplevelse
National Category
Nursing
Identifiers
URN: urn:nbn:se:miun:diva-42026OAI: oai:DiVA.org:miun-42026DiVA, id: diva2:1553937
Supervisors
Examiners
Available from: 2021-05-11 Created: 2021-05-11 Last updated: 2021-05-11Bibliographically approved

Open Access in DiVA

fulltext(987 kB)259 downloads
File information
File name FULLTEXT01.pdfFile size 987 kBChecksum SHA-512
5111d3afbd664dca290647a067e75ed0d9b07b2031a5532ede5abcbb7d466245aabb3128eeb97d7fd55b09ab1bc9caf7b399e64632d8507c067d71096fac0f94
Type fulltextMimetype application/pdf

By organisation
Department of Nursing Sciences
Nursing

Search outside of DiVA

GoogleGoogle Scholar
Total: 264 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: 381 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