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Benchmarking by the RAFAELA Patient Classification System: a Descriptive Study of Optimal Nursing Intensity Levels
University of Skövde, School of Life Sciences. Buskerud University College, Drammen, Norway / Åbo Akademi University, Vaasa, Finland.ORCID iD: 0000-0001-9934-2788
2009 (English)In: Connecting Health and Humans: Proceedings of NI2009 - the 10th International Congress on Nursing Informatics / [ed] Kaija Saranto, Patricia Flatley Brennan, Hyeoun-Ae Park, Marianne Tallberg and Anneli Ensio, IOS Press, 2009, 25-29 p.Conference paper, (Refereed)
Abstract [en]

The overall aim of the RAFAELA system is that the personnel resources should be in balance with the patients' caring needs, i.e. when the nursing intensity per nurse is on the optimal level of the unit. The RAFAELA system consists of three parts: the OPCq (Oulu Patient Classification Qualisan) instrument for measuring the nursing intensity, registration of the daily nursing resources and the PAONCIL (Professional Assessment of Optimal Nursing Care Intensity Level) method. The aim of this paper is (1) to describe the structure of benchmarking with the RAFAELA system and (2) to present comparisons of optimal nursing intensity levels in Finnish hospitals by using data from RAFAELA benchmarking reports in 2001. Totally 86 wards from 14 different hospitals in Finland took part in the study, the optimal nursing intensity had been decided for 53 wards. Data was analyzed using descriptive statistics. The avarage workload was on adult wards 25.2 NCI points per nurse. The optimal NCI was exceeded during 48% of the days and under during 22% of the days. An imbalance between nursing intensity and personnel resources clearly affects the care quality and the results. Benchmarking with the RAFAELA system provides nurse managers with many opportunities in their decision processes in human resource management.

Place, publisher, year, edition, pages
IOS Press, 2009. 25-29 p.
Series
Studies in Health Technology and Informatics, ISSN 0926-9630 ; 146
Keyword [en]
nursing intensity, patient classification system, workload, benchmarking
National Category
Medical and Health Sciences
Research subject
Medical sciences
Identifiers
URN: urn:nbn:se:his:diva-3276DOI: 10.3233/978-1-60750-024-7-25PubMedID: 19592803Scopus ID: 2-s2.0-70349560665ISBN: 978-1-60750-024-7 (print)ISBN: 978-1-60750-443-6 (electronic)OAI: oai:DiVA.org:his-3276DiVA: diva2:226996
Conference
10th International Congress on Nursing Informatics: Connecting Health and Humans, NI2009, Helsinki, Finland, 28 June 2009 through 1 July 2009
Available from: 2009-07-08 Created: 2009-07-08 Last updated: 2017-04-24Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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Output format
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