Literature DB >> 14756829

Determining optimal nursing intensity: the RAFAELA method.

Auvo Rauhala1, Lisbeth Fagerström.   

Abstract

BACKGROUND: RAFAELA is a modern system of patient classification. In the last few years the system has become widely used in Finland and has aroused international interest. It comprises three parts: (1) The Oulu Patient Classification (OPC) instrument and (2) a file on nurse resources. Using these, the daily nursing care intensity, expressed as OPC points per nurse, can be calculated. The existing nursing care intensity can then be compared with the optimal by using the third instrument, (3) the Professional Assessment of Optimal Nursing Care Intensity Level (PAONCIL). This is a daily questionnaire that nurses complete in a 2-month period at intervals every few years. The daily workload is scored from -3 to +3, where zero is the optimal level. The optimal nursing care intensity per nurse is then defined by using linear regression analysis. No expensive time studies are needed. AIMS: This paper reports on a study which aimed to identify the minimum requirements for determining optimal nursing care intensity that allow the results to be accepted as correct, in terms of: length of the PAONCIL examination period, PAONCIL questionnaire response rate, explanatory power of the regression analysis and mean values of the OPC and PAONCIL instruments.
DESIGN: The results of analyses of optimal nursing care intensity from 61 wards in eight Finnish hospitals for the period 1997-2001 are presented. The data do not contain any information about the identity of the patients.
METHODS: Linear regression analysis, one-way analysis of variance, t-tests and correlation analysis were used, as well as parameters of distribution of the data.
RESULTS: The results of the analysis of optimal nursing care intensity can be regarded as reliable if the PAONCIL response rate is above 70%, the period of examination is at least 3-4 weeks, the mean PAONCIL value is below 0.65 and the explanatory power is above 25%.
CONCLUSION: On the basis of the RAFAELA system, the optimal nursing care intensity of a ward can be reliably determined. The prerequisites for achieving reliable results were clear and mostly fulfilled. Because a study period shorter than that which has previously been the practice is enough, the use of this system will be easier than before. The credibility and usefulness of the RAFAELA system have thus received considerable additional confirmation.

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Year:  2004        PMID: 14756829     DOI: 10.1046/j.1365-2648.2003.02918.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  12 in total

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Review 2.  Human resource information systems in health care: a systematic evidence review.

Authors:  Aizhan Tursunbayeva; Raluca Bunduchi; Massimo Franco; Claudia Pagliari
Journal:  J Am Med Inform Assoc       Date:  2017-05-01       Impact factor: 4.497

3.  Mapping nurses' activities in surgical hospital wards: A time study.

Authors:  W F J M van den Oetelaar; H F van Stel; W van Rhenen; R K Stellato; W Grolman
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4.  Using a new interrater reliability method to test the modified Oulu Patient Classification instrument in home health care.

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Journal:  Nurs Open       Date:  2018-02-04

5.  Developing and testing a Korean patient classification system for general wards based on nursing intensity.

Authors:  Yukyung Ko; Bohyun Park; Hanju Lee; Donghwan Kim
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6.  Nurses' Experiences of Nonpatient Factors That Affect Nursing Workload: A Study of the PAONCIL Instrument's Nonpatient Factors.

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Journal:  Nurs Res Pract       Date:  2014-06-18

7.  Balancing nurses' workload in hospital wards: study protocol of developing a method to manage workload.

Authors:  W F J M van den Oetelaar; H F van Stel; W van Rhenen; R K Stellato; W Grolman
Journal:  BMJ Open       Date:  2016-11-10       Impact factor: 2.692

8.  Exploring nurse managers' perception of using the RAFAELA system as a management tool in a Norwegian hospital setting.

Authors:  Bodil Mørk Lillehol; Kjersti Lønning; Marit Helen Andersen
Journal:  Nurs Open       Date:  2017-12-14

9.  Nursing workload, patient safety incidents and mortality: an observational study from Finland.

Authors:  Lisbeth Fagerström; Marina Kinnunen; Jan Saarela
Journal:  BMJ Open       Date:  2018-04-24       Impact factor: 2.692

10.  Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion.

Authors:  Peter Griffiths; Christina Saville; Jane Ball; Jeremy Jones; Natalie Pattison; Thomas Monks
Journal:  Int J Nurs Stud       Date:  2019-11-29       Impact factor: 5.837

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