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3 results on '"NURSING INDEX"'

1. The Zebra index: one method for comparing units in terms of nursing care.

Author

LEVENSTAM, ANNA-KARIN and BERGBOM, INGEGERD

Subjects
*CLASSIFICATION, *WORKING hours, *MEDICAL quality control, *MEDICAL care costs, *NURSES, *NURSING, *SCIENTIFIC observation, *PATIENTS, *EMPLOYEES' workload
Abstract

(2011) Journal of Nursing Management 260-268 To describe an approach for developing a nursing index that is based on the patients' needs of nursing care and enables nursing costs to be calculated. Usually staffing resources are calculated as the ratio between the number of staff and the number of occupied beds per unit. The index was developed from two parts of the Zebra method. The index factor per patient category of care was calculated first. The patient days per category of care was multiplied next with the index factor for the category, which gives the same value in terms of nursing care given for all the patient days. The third step was the calculation of the Zebra index (ZI). The ZI shows 'the intensity of nursing care' given. The index makes it possible to follow changes in the nursing care given over a period of time and it can also explain why two similar units with the same number of staff per patient can have a totally different workload situation. The ZI obtains reliable information about the changing nursing situations over a period of time. The approach described can be used in different settings and is not bound to Sweden but can be looked upon as a general method. The index is useful for comparing different units and clinics in terms of nursing care and staffing. [ABSTRACT FROM AUTHOR]

Published
2011
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2. Care Complexity in the General Hospital Results From a European Study

Author

Richard van Dijck, Thomas Herzog, Gideon J. Mellenbergh, Frits J. Huyse, Joris P. J. Slaets, Antonio Lobo, Barbara Stein, Nandor Balogh, Per Fink, Graça Cardoso, John S. Lyons, Brent C. Opmeer, Peter de Jonge, Marco Rigatelli, Volker Arolt, Health Psychology Research (HPR), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), and Life Course Epidemiology (LCE)

Subjects
Male, medicine.medical_specialty, Salud mental, LIAISON INTERVENTION, Hospitals, General, Risk Assessment, law.invention, Patient Admission, Arts and Humanities (miscellaneous), Randomized controlled trial, Nursing, law, Multidisciplinary approach, NURSING INDEX, LENGTH, Humans, Medicine, STAY, General hospital, Psychiatry, PSYCHIATRIC CONSULTATIONS, Diagnosis-Related Groups, Applied Psychology, Complex care needs, business.industry, Public health, Social environment, Length of Stay, Middle Aged, Mental health, HEALTH-SERVICE NEEDS, RANDOMIZED CLINICAL-TRIAL, Europe, Psychiatry and Mental health, SEVERITY, Diagnosis-Related Groups Europe Female Hospitals, General Humans Length of Stay Male Middle Aged Needs Assessment Patient Admission Patient Care Risk Assessment, MEDICAL INPATIENTS, Female, Patient Care, business, Needs Assessment, PATIENT INTENSITY
Abstract

There is increasing pressure to effectively treat patients with complex care needs from the moment of admission to the general hospital. In this study, the authors developed a measurement strategy for hospital-based care complexity. The authors' four-factor model describes the interrelations between complexity indicators, highlighting differences between length of stay (LOS), objective complexity (such as medications or consultations), complexity ratings by the nurse, and complexity ratings by the doctor. Their findings illustrate illustrate limitations in the use of LOS as a sole indicator for care complexity. The authors show how objective and subjective complexity indicators can be used for early and valid detection of patients needing interdisciplinary care.

Published
2001
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3. Care complexity in the general hospital - Results from a European study

Subjects
RANDOMIZED CLINICAL-TRIAL, SEVERITY, NURSING INDEX, LENGTH, MEDICAL INPATIENTS, STAY, LIAISON INTERVENTION, PSYCHIATRIC CONSULTATIONS, HEALTH-SERVICE NEEDS, PATIENT INTENSITY
Abstract

There is increasing pressure to effectively treat patients with complex care needs from the moment of admission to the general hospital. In this study, the authors developed a measurement strategy for hospital-based care complexity. The authors' four-factor model describes the interrelations between complexity indicators, highlighting differences between length of stay (LOS), objective complexity (such as medications or consultations), complexity ratings by the nurse, and complexity ratings by the doctor. Their findings illustrate illustrate limitations in the use of LOS as a sole indicator for care complexity. The authors show how objective and subjective complexity indicators can be used for early and valid detection of patients needing interdisciplinary care.

Published
2001

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