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Utilization of patient classification systems in Swedish hospitals and the degree of satisfaction among nursing staff
Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science.
Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science. Östergötlands Läns Landsting, Local Health Care Services in Central Östergötland, Department of Acute Internal Medicine.
2007 (English)In: Journal of Nursing Management, ISSN 0966-0429, E-ISSN 1365-2834, Vol. 15, no 5, 472-480 p.Article in journal (Refereed) Published
Abstract [en]

Background Although patient classification tools have been used in Sweden since the 1980s, few studies have examined how they are utilized and monitored. Aim This paper investigates the patient classification systems implemented in hospitals in the country as well as the level of satisfaction of nurses with the implemented instrument. Method A postal survey method was used in which a total of 128 questionnaires were sent to nurse managers. Twenty-three hospitals were identified with patient classification systems currently in operation. Results and conclusion The Zebra and Beakta systems are the most commonly used instruments. Nurse managers appear to be satisfied with the patient classification systems in use on their wards as a whole except for their inability to measure the quality of care provided, the time spent to use the instruments and the fact that the administration do not estimate nursing staff requirements using the system.

Place, publisher, year, edition, pages
2007. Vol. 15, no 5, 472-480 p.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-38225DOI: 10.1111/j.1365-2834.2007.00732.xLocal ID: 43045OAI: oai:DiVA.org:liu-38225DiVA: diva2:259074
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2017-12-13

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Galan Perroca, MarciaEk, Anna-Christina

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  • apa
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  • vancouver
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  • Other style
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf