Literature DB >> 19531141

Evidence-based human resource management: a study of nurse leaders' resource allocation.

Lisbeth Fagerström1.   

Abstract

AIMS: The aims were to illustrate how the RAFAELA system can be used to facilitate evidence-based human resource management.
BACKGROUND: The theoretical framework of the RAFAELA system is based on a holistic view of humankind and a view of leadership founded on human resource management.
METHODS: Nine wards from three central hospitals in Finland participated in the study. The data, stemming from 2006-2007, were taken from the critical indicators (ward-related and nursing intensity information) for national benchmarking used in the RAFAELA system. The data were analysed descriptively.
RESULTS: The daily nursing resources per classified patient ratio is a more specific method of measurement than the nurse-to-patient ratio. For four wards, the nursing intensity per nurse surpassed the optimal level 34% to 62.2% of days. Resource allocation was clearly improved in that a better balance between patients' care needs and available nursing resources was maintained.
CONCLUSIONS: The RAFAELA system provides a rational, systematic and objective foundation for evidence-based human resource management. IMPLICATIONS FOR NURSING MANAGEMENT: Data from a systematic use of the RAFAELA system offer objective facts and motives for evidence-based decision making in human resource management, and will therefore enhance the nurse leaders' evidence and scientific based way of working.

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Year:  2009        PMID: 19531141     DOI: 10.1111/j.1365-2834.2009.01010.x

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


  4 in total

1.  The human resource information system: a rapid appraisal of Pakistan's capacity to employ the tool.

Authors:  Ramesh Kumar; Babar Tasneem Shaikh; Jamil Ahmed; Zulfiqar Khan; Sayed Mursalin; Mahmood Iqbal Memon; Shagufta Zareen
Journal:  BMC Med Inform Decis Mak       Date:  2013-09-10       Impact factor: 2.796

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.  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

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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