Determining nurse staffing needs: the workload intensity measurement system
| Autor: | Norafida Ismail, Li Chern Ong, Jasmine Kang, Shu Yin Hoi |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
medicine.medical_specialty
Leadership and Management Staffing Personnel Staffing and Scheduling Workload measurement Nursing workload Nursing Workload Nursing Staff Hospital Personnel Management Acute care Surveys and Questionnaires medicine Confidence Intervals Humans Models Nursing Nurse Administrators Medical diagnosis Singapore Models Statistical business.industry Nurse staffing System of measurement Health Care Surveys Models Organizational Workforce Regression Analysis business Needs Assessment |
| Zdroj: | Journal of nursing management. 18(1) |
| ISSN: | 1365-2834 |
| Popis: | hoi s.y., ismail n., ong l.c. & kang j. (2010) Journal of Nursing Management18, 44–53 Determining nurse staffing needs: the workload intensity measurement system Objective To develop a prototype nursing workload intensity measurement system (WIMS). Background Current nurse staffing was determined based on a development. The predetermined nurse-to-patient ratio of a measurement system in the present work environment was deemed essential. Methods The study was conducted in a 1500-bed acute care hospital in Singapore. A questionnaire was designed to identify critical indicators for workload measurement. Nineteen wards were observed over a period of 1 week on day shifts. The WIMS was developed using regression modelling. Results Nursing time required for a low-acuity ward increased from 90.5 to 177.1 hours per day. The WIMS was developed using nursing diagnoses as critical indicators of workload. The model (WIMS) yield R2 values ranging from 0.615 to 0.736 across the six key disciplines, rendering it a model with relatively good predictive ability of nursing time required. Conclusion In such a rapidly changing work environment, workload measurement systems should be reviewed periodically. The WIMS was developed as a potential methodology for measuring staffing needs. Implication for Nursing Management Workload predictions should de-link patient dependency with acuity status as both do not correlate, as evidenced by this study. |
| Databáze: | OpenAIRE |
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