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Efficiency evaluation of surgical nursing wards based on data envelopment analysis.
Zhi Chen1, Jiaqi Shi1, Mengying Xu1
1College of Nursing, Wenzhou Medical University, Wenzhou, China.
Journal of Nursing Management
|August 4, 2022
Summary
Surgical ward nursing efficiency in China is low, primarily due to scale and technical efficiency limitations. Data envelopment analysis can guide managers in optimizing resource allocation for improved nursing performance.
Area of Science:
- Healthcare Management
- Nursing Administration
- Operations Research
Background:
- High-quality public hospital development necessitates enhanced nursing efficiency.
- Implementing fine management in nursing requires improved operational performance.
- Optimizing nursing services is crucial for effective hospital operations.
Purpose of the Study:
- To evaluate the efficiency of surgical ward nursing.
- To identify factors influencing nursing efficiency in surgical wards.
- To assess the impact of resource allocation on nursing performance.
Main Methods:
- Data envelopment analysis (DEA) was used to assess nursing efficiency.
- Malmquist index analysis was employed for dynamic efficiency evaluation.
- Input data (beds, nurses, hours) and output data (discharges, surgical output, case mix) were analyzed for 40 surgical wards.
Main Results:
- Average efficiencies: total technical (78%), pure technical (94%), scale (82%).
- Significant input redundancy (81%) and output insufficiency (67%) were observed.
- Monthly total factor productivity averaged 118%, indicating increasing overall efficiency.
Conclusions:
- Surgical nursing service efficiency was generally low, constrained by scale, pure technical efficiency, or both.
- DEA provides a valuable tool for nursing managers to optimize resource and performance allocation.
- Findings suggest a need for strategic interventions to improve nursing efficiency in surgical settings.
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