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  • 1.
    Galan Perroca, Marcia
    et al.
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science.
    Ek, Anna-Christina
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science. Östergötlands Läns Landsting, Local Health Care Services in Central Östergötland, Department of Acute Internal Medicine.
    Assessing patient's care requirements: A comparison of instruments2007In: Scandinavian Journal of Caring Sciences, ISSN 0283-9318, E-ISSN 1471-6712, Vol. 21, no 3, p. 390-396Article in journal (Refereed)
    Abstract [en]

    The purpose of this study was to compare two patient classification instruments developed in different countries, Perroca's (Brazil) and the Beakta (Sweden) systems and to investigate if both instruments equally assess patients' care requirements. The survey sample comprised 85 patients from a university hospital in southeast Sweden. Statistical analysis used Spearman's correlation and Kappa. The Spearman's correlation coefficient for total scores and classifications were 0.83 and 0.80, respectively (P-value < 0.01). The level of agreement between the instruments related to the different care categories pointed to an overall kw of 0.60 (95% CI: 0.50-0.71). The findings indicate a high degree of association between the total scores and patient classification assessment using the Beakta and Perroca systems and also a moderate level of agreement between the two instruments in the different care categories. There are few surveys that compare classification instruments between countries making it difficult to know to what extent cultural differences influence measurement approaches. © 2007 Nordic College of Caring Science.

  • 2.
    Galan Perroca, Marcia
    et al.
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science.
    Ek, Anna-Christina
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science. Östergötlands Läns Landsting, Local Health Care Services in Central Östergötland, Department of Acute Internal Medicine.
    Home Care Avancado na Suecia: uma Breve Descricao2003In: HB científica, ISSN 1414-6142, Vol. 10, p. 103-110Article in journal (Refereed)
  • 3.
    Galan Perroca, Marcia
    et al.
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science.
    Ek, Anna-Christina
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science. Östergötlands Läns Landsting, Local Health Care Services in Central Östergötland, Department of Acute Internal Medicine.
    Swedish advanced home care: organizational structure and implications of adopting this care model in Brazilian health care system2004In: Revista latino-americana de enfermagem, ISSN 0104-1169, Vol. 12, p. 851-858Article in journal (Refereed)
  • 4.
    Galan Perroca, Marcia
    et al.
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science.
    Ek, Anna-Christina
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Nursing Science. Östergötlands Läns Landsting, Local Health Care Services in Central Östergötland, Department of Acute Internal Medicine.
    Utilization of patient classification systems in Swedish hospitals and the degree of satisfaction among nursing staff2007In: Journal of Nursing Management, ISSN 0966-0429, E-ISSN 1365-2834, Vol. 15, no 5, p. 472-480Article in journal (Refereed)
    Abstract [en]

    Background Although patient classification tools have been used in Sweden since the 1980s, few studies have examined how they are utilized and monitored. Aim This paper investigates the patient classification systems implemented in hospitals in the country as well as the level of satisfaction of nurses with the implemented instrument. Method A postal survey method was used in which a total of 128 questionnaires were sent to nurse managers. Twenty-three hospitals were identified with patient classification systems currently in operation. Results and conclusion The Zebra and Beakta systems are the most commonly used instruments. Nurse managers appear to be satisfied with the patient classification systems in use on their wards as a whole except for their inability to measure the quality of care provided, the time spent to use the instruments and the fact that the administration do not estimate nursing staff requirements using the system.

1 - 4 of 4
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