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Determining nurse staffing needs: the workload intensity measurement system.
Shu Yin Hoi1, Norafida Ismail, Li Chern Ong
1Department of Nursing Services, Tan Tock Seng Hospital Pte Ltd., 11 Jalan Tan Tock Seng, Singapore City, Singapore. Shu_Yin_Hoi@ttsh.com.sg
A new nursing workload intensity measurement system (WIMS) was developed. This system uses nursing diagnoses to predict required nursing time, offering a more accurate approach to staffing needs.
Area of Science:
- Healthcare Management
- Nursing Informatics
- Hospital Operations
Background:
- Current nurse staffing relies on outdated methods.
- A robust nurse-to-patient ratio measurement system is essential for effective healthcare delivery.
Purpose of the Study:
- To develop a prototype nursing workload intensity measurement system (WIMS).
- To establish a reliable methodology for assessing nursing staffing needs.
Main Methods:
- A questionnaire identified critical workload indicators.
- Regression modeling was employed to develop the WIMS.
- Data was collected from 19 wards in a 1500-bed acute care hospital over one week.
Main Results:
- The WIMS utilizes nursing diagnoses as key workload indicators.
- The developed model demonstrated good predictive ability (R² values 0.615–0.736).
- Nursing time requirements for low-acuity wards significantly increased.
Conclusions:
- The WIMS offers a potential methodology for measuring nursing staffing needs.
- Workload measurement systems require periodic review in dynamic healthcare settings.
- Patient dependency and acuity status should be analyzed separately for accurate workload prediction.
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