Utilization of patient classification systems in Swedish hospitals and the degree of satisfaction among nursing staff.
BACKGROUND
Although patient classification tools have been used in Sweden since the 1980s, few studies have examined how they are utilized and monitored.


OBJECTIVE
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.


METHODS
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.


CONCLUSIONS
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.
Perroca
Marcia Galan
MG
Department of Specialized Nursing, Faculty of Medicine of São José do Rio Preto (FAMERP), Brazil. marcia.perroca@famerp.br
Ek
Anna-Christina
AC
D000203:Activities of Daily Living; D001291:Attitude of Health Personnel; D006766:Hospitals, County; D006767:Hospitals, District; D006784:Hospitals, Teaching; D006801:Humans; D007297:Inpatients / Q000145:classification*; D007588:Job Satisfaction; D020380:Needs Assessment / Q000458:organization & administration*; D009718:Nurse Administrators / Q000458:organization & administration / Q000523:psychology; D015401:Nursing Administration Research; D009730:Nursing Assessment; D015404:Nursing Methodology Research; D009741:Nursing Staff, Hospital / Q000458:organization & administration / Q000523:psychology*; D010347:Patient Care Planning / Q000458:organization & administration; D010561:Personnel Staffing and Scheduling / Q000458:organization & administration; D010562:Personnel Staffing and Scheduling Information Systems / Q000458:organization & administration*; D011787:Quality of Health Care; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires; D013548:Sweden; D013997:Time Factors; D016526:Workload / Q000706:statistics & numerical data