Literature DB >> 17576247

Are nurses' assessments of their workload affected by non-patient factors? An analysis of the RAFAELA system.

Auvo Rauhala1, Lisbeth Fagerström.   

Abstract

AIMS: To identify (1) the contribution of non-patient factors to patient classification systems and (2) the explanatory power of nursing care intensity and non-patient factors to Professional Assessment of Optimal Nursing Care Intensity Level workload.
BACKGROUND: In the Rainio, Fagerström and Rauhala (RAFAELA) patient classification system, nursing care intensity per nurse is measured daily by the Oulu Patient Classification/Qualisan instrument. The optimal nursing care intensity is determined using Professional Assessment of Optimal Nursing Care Intensity Level instrument. However, nurses' workload may be affected by factors other than nursing care intensity. Therefore, RAFAELA contains 12 non-patient questions.
METHODS: A retrospective study of all 22 somatic wards of a secondary healthcare hospital in Finland.
RESULTS: Non-patient questions were answered in 26% of 4870 questionnaires. They added to workload in 62%. Eight questions were grouped into four factors: administration; staff resources and mental stress; co-operation within and between units. The explanatory value between Oulu Patient Classification/Qualisan and Professional Assessment of Optimal Nursing Care Intensity Level had a median of 0.45. Including the non-patient questions raised it to 0.55.
CONCLUSIONS: Non-patient factors affect the nurses' assessments of their workload, but less than nursing care intensity. They contribute valuable information on the functioning and problems of wards.

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Year:  2007        PMID: 17576247     DOI: 10.1111/j.1365-2834.2007.00645.x

Source DB:  PubMed          Journal:  J Nurs Manag        ISSN: 0966-0429            Impact factor:   3.325


  4 in total

Review 1.  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

2.  Using a new interrater reliability method to test the modified Oulu Patient Classification instrument in home health care.

Authors:  Jill Flo; Bjørg Landmark; Ove Edward Hatlevik; Lisbeth Fagerström
Journal:  Nurs Open       Date:  2018-02-04

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

Authors:  Yukyung Ko; Bohyun Park; Hanju Lee; Donghwan Kim
Journal:  Nurs Open       Date:  2021-03-10

4.  Nurses' Experiences of Nonpatient Factors That Affect Nursing Workload: A Study of the PAONCIL Instrument's Nonpatient Factors.

Authors:  Lisbeth Fagerström; Paula Vainikainen
Journal:  Nurs Res Pract       Date:  2014-06-18
  4 in total

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