Intensive and Critical Care Nursing
Volume 23, Issue 2 , Pages 97-103 , April 2007

Nursing intensity and patient classification at an adult intensive care unit (ICU)

  • Heljä Lundgrén-Laine

      Affiliations

    • Department of Nursing Science, University of Turku, Adult Intensive Care Unit, Turku University Hospital, Hoitotieteen laitos, Turun yliopisto 20014, Finland
    • Corresponding Author InformationCorresponding author. Tel.: +358 40 7789897; fax: +358 2 3338400.
    • ,
  • Tarja Suominen

      Affiliations

    • Department of Nursing Science, University of Turku, University of Kuopio, Kuopio, Finland

,Accepted 18 October 2006.

References 

  1. Ball C. Patient:nurse ratios in critical care—time for some radical thinking. Intens Critical Care Nurs. 2001;17(3):125–127
  2. Beun JG. Electronic healthcare record; a way to empower the patient. Int J Med Inform. 2003;69:191–196
  3. Burns N, Grove SK. The practice of nursing research. Conduct, critique and utilization. Fourth ed.. Philadelphia, USA: W.B. Saunders Company; 2001;
  4. DeGroot HA. Patient classification systems and staffing. Part 1. Problems and promise. J Nurs Admin. 1994;24(9):43–51
  5. Fagerström L. Patient's caring needs. To understand and measure the unmeasurable. Dissertation. Åbo, Finland: Åbo Univeristy Press; 1999.
  6. Fagerström L, Bergbom-Engberg I, Eriksson K. A comparison between patients‘ experience of how their caring needs have been met and the nurses’ patient classification—an explorative study. J Nurs Manage. 1998;6:369–377
  7. Fagerström L, Rainio A-K. Professional assessment of optimal nursing care intensity level: a new method of assessing personnel resources for nursing care. J Clini Nurs. 1999;8:369–379
  8. Fagerström L, Rainio A-K, Rauhala A, Nojonen K. Professional assessment of optimal nursing care intensity level. A new method for resource allocation as an alternative to classical time studies. Scand J Caring Sci. 2000;14(2):97–104
  9. Fagerström L, Rauhala A. Finnhoitoisuus-hoitotyön benchmarking. Pilottiprojektin raportti vuodelta 2000. (Finn intensity—benchmarking in nursing. A report of the pilot project from year 2000. The Association of Finnish Local and Regional Authorities) Suomen Kuntaliitto: Helsinki; 2001 (in Finnish).
  10. Fagerström L, Rauhala A. Finnhoitoisuus-hoitotyön benchmarking. Projektin loppuraportti 2000–2002. (Finn intensity—benchmarking in nursing. A report of the pilot project 2000–2002. The Association of Finnish Local and Regional Authorities) Suomen Kuntaliitto: Helsinki; 2003 (in Finnish).
  11. Fraenkel DJ, Cowie M, Daley P. Quality benefits of an intensive care clinical information system. Crit Care Med. 2003;31(1):120–125
  12. Frantz AK. Evaluating technology for success in home care. Caring. 2001;20(9):10–12
  13. Giovannetti P. Staffing methods—implications for nurse staffing. In:  Willis L,  Linwood M editor. Measuring the quality of care. London: Livingstone; 1984;pp. 123–50
  14. Goossen WTF, Jonker MJ, Heitmann KU, Jongeneel-de Haas IC, de Jong T, van der Slikke JW, et al. Electronic patient records: domain message information model perinatology. Int J Med Inform. 2003;70:265–276
  15. Hardiker N-R, Bakken S. Requirements of tools and techniques to support the entry of structured nursing data. Medinfo. 2004;621–625
  16. Kaustinen T. Hoitoisuusluokituksen kehittäminen ja arviointi Oulun yliopistollisessa keskussairaalassa v. 1991–1993. Lisensiaatintutkielma. (The development and evaluation of patient classification. Licentiate thesis. Department of nursing science. University of Oulu.) Hoitotieteen laitos. Oulun yliopisto; 1995 (in Finnish/English abstract).
  17. Lekan-Rutledge D. Diffusion of innovation: a model for implementation of prompted voiding in long-term care settings. J Gerontol Nurs. 2000;26(4):25–33
  18. McHugh ML, Dwyer VL. Measurement issues in patient acuity classification for prediction of hours in nursing care. Nurs Admin Q. 1992;16(4):20–31
  19. Malloch K, Conovaloff A. Patient Classification Systems, Part 1. The third generation. JONA. 1999;7–8(29):49–56
  20. Malloch K, Pellissier Needl A, McMurry C, Meeks L, Wallach M, Williams S, et al. Patient classiification systems, part 2. The third generation. JONA. 1999;29(9):33–42
  21. Ministry of Social Affairs and Health, 2003. Health and well-being by evidence-based nursing. The national target and action plan 2004–2007. Helsinki: Ministry of Social Affairs and Health; 2003 (in Finnish/English abstract).
  22. Moreno R, Miranda DR. Nursing staff in intensive care in Europe. The mismatch between planning and practice. Chest. 1998;113(3):752–758
  23. Partanen P. Nurse staffing in acute care tertiary hospitals. University of Kuopio Publications E. Social Sciences 99; 2002 (in Finnish/English abstract).
  24. Pyykkö A, Laurila J, Ala-Kokko TI, Hentinen M. Intensive Care Nursing Scoring System. Part 2: Nursing interventions and outcomes. Intens Crit Care Nurs. 2001;17:16–28
  25. Pyykkö A. Development and evaluation of a model of intensive care nursing. University of Oulu, Department of Nursing Science and Health Administration; 2004 (in Finnish/English abstract).
  26. Rainio A-K, Ohinmaa AE. Assessment of nursing management and utilization of nursing resources with the RAFAELA patient classification system – case study from the general wards of one central hospital. J Clin Nurs. 2005;14:674–684
  27. Ting-Ting L, Tzu-Ying L, Kuan-Chia L, Pi-Chen C. Factors affecting the use of nursing information systems in Taiwan. J Adv Nurs. 2005;50(2):170–178
  28. Williams G, Chaboyer W, Thornsteindóttir R, Fulbrook P, Shelton C, Chan D, et al. Worldwide overview of critical care nursing organizations and their activities. Int Nurs Rev. 2001;48:208–217
  29. Zerwekh J, Thibodeaux R, Plesko R. Chart it once: innovation in public health documentation. J Commun Health Nurs. 2000;17(2):75–83

PII: S0964-3397(06)00121-2

doi: 10.1016/j.iccn.2006.10.006

Intensive and Critical Care Nursing
Volume 23, Issue 2 , Pages 97-103 , April 2007

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