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Beyond order-based nursing workload: A retrospective cohort study in intensive care units
Yi Chen1, Carri W Chan2, Jing Dong2
1Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.
Clinically perceived nursing workload often exceeds order-based estimates. Factors like night shifts and new admissions increase this perceived workload, highlighting a need for better management strategies to prevent nurse burnout.
Area of Science:
- Nursing workload analysis
- Healthcare management
- Clinical operations
Background:
- Rising nurse burnout and shortages necessitate a deeper understanding of nursing workload.
- Current workload metrics may not fully capture nurses' actual experiences.
- Identifying contributing factors is crucial for effective resource allocation and retention.
Purpose of the Study:
- To compare order-based nursing workload with clinically perceived workload.
- To identify and quantify factors influencing clinically perceived nursing workload.
- To inform interventions aimed at mitigating nurse burnout and shortage.
Main Methods:
- Retrospective cohort study utilizing observational data.
- Integration of patient flow, nurse staffing, and workload intensity data.
- Multivariate linear regression analysis to determine factors affecting perceived workload.
Main Results:
- Clinically perceived workload exceeded order-based workload in 53% of cases.
- Factors increasing perceived workload include weekend/night shifts, higher patient census, early post-admission patients (within 24h), and male patients.
- Quantified the impact of various shift, patient, and nurse-level factors.
Conclusions:
- Order-based workload measures tend to underestimate the actual demands on nurses.
- Identified specific, quantifiable factors that elevate clinically perceived workload.
- Proposed targeted interventions for nurse managers to alleviate workload, reduce burnout, and address shortages.
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