Database nurse staffing indicators: explaining risks of staff job dissatisfaction in outpatient care.
AIM The aim of the study is to describe the connection between the burden of nurses' work experience and patient dissatisfaction using electronic indicators available in databases. BACKGROUND The hospitals in this study have a lot of information stored in electronic databases, but the data is stored in different databases and there are no straight connections between them. METHODS This study was retrospective. Inpatient rates, workload statistics, patient classification, patient satisfaction and financial statistics were collected on 39 hospital wards from electronic databases. The data were analysed statistically. RESULTS The results showed that the higher care intensity index and number of gross treatment days are, the greater was the burden on nurses. The burden was smaller on those wards using a named nurse system. CONCLUSIONS Nurses' workload varies according to the condition of patients and patient flow. There is a connection between high workload and patient dissatisfaction. Nurse Managers should easily be able to use significant indicators. IMPLICATIONS FOR NURSING MANAGEMENT Nursing management must have tools that are easy to use in every day workload measurement, burden adjustment and personnel planning in the long run. This article presents patient classification and the number of beds used including daily change percentage of wards as instruments for nursing management.