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Schultz, N.A., Larsen, P.N., Klarskov, B., Plum, L.M., Frederiksen, H.J., Christensen, B.M., Kehlet, H. and Hillingsø, J.G. (2013) Evaluation of a Fast-Track Programme for Patients Undergoing Liver Resection. British Journal of Surgery, 100, 138-143. http://dx.doi.org/10.1002/bjs.8996

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• TITLE: Testing Reliability and Validity of the Oulu Patient Classification Instrument—The First Step in Evaluating the RAFAELA System in Norway

  AUTHORS: Marit Helen Andersen, Kjersti Lønning, Lisbeth Fagerström

  KEYWORDS: Nursing Intensity; Staffing; RAFAELA System; Oulu Patient Classification Instrument; Reliability; Validity

  JOURNAL NAME: Open Journal of Nursing, Vol.4 No.4, April 18, 2014

  ABSTRACT: Objective: To study reliability and validity of the Finnish Oulu Patient Classification instrument in Norway. Background: The Finnish patient classification system RAFAELA consists of three parts: 1) daily patient classification of nursing intensity using the Oulu Patient Classification instrument, 2) calculation of nursing resources providing bed side care per 24 hours, and 3) Professional Assessment of Optimal Nursing Care Intensity Level. The RAFAELA system has not been tested outside of Finland. Methods: A prospective, descriptive study was performed at 5 clinical units at Oslo University Hospital during 2011-2012. The interrater reliability of the Oulu Patient Classification instrument was tested by parallel classification including 100-167 patient classifications pr. unit, and analyzed by consensus in % and using Cohen’s Kappa. Convergent validity was tested by using the average Oulu Patient Classification instrument value to predict the average Professional Assessment of Optimal Nursing Care Intensity Level for the same calendar day by linear regression analysis. Results: The Oulu Patient Classification instrument consensus of parallel classifications varied between 70.1%-89%. Cohen’s Kappa within patient classes varied between 0.57 and 0.81, representing substantial interrater reliability. The Oulu Patient Classification instrument was valid as the instrument in average explained about 38% of the variation of the Professional Assessment of Optimal Nursing Care Intensity Level. Conclusions: Patient classification systems tested for psychometric properties are needed and this study provides evidence of satisfactory reliability and validity of the Oulu Patient Classification instrument as tested outside Finland, demonstrating that this instrument has international relevance within nursing.