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The novel additive star-NDEA model for hospital performance evaluation.
Shirin Alsadat Hadian1, Reza Rezayatmand2, Saeedeh Ketabi3
1Health Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
BMC Health Services Research
|December 2, 2025
Summary
This study introduces an additive star network data envelopment analysis (star-NDEA) model for evaluating hospital performance. The novel approach accurately identifies inefficiencies, with the logistics department showing the highest efficiency.
Area of Science:
- Healthcare Management
- Operations Research
- Health Services Research
Background:
- Evaluating hospital performance is crucial for healthcare systems.
- This study addresses the need for novel quantitative models in uncertain healthcare environments.
Purpose of the Study:
- To introduce and apply a novel additive star network data envelopment analysis (star-NDEA) model.
- To assess the interdepartmental efficiency of hospitals within Isfahan University of Medical Sciences.
Main Methods:
- Applied an additive star-NDEA model to 26 hospitals from 2019-2022.
- Utilized 44 carefully selected indicators (12 inputs, 17 outputs, 14 links).
- Employed systematic two-stage process for indicator relevance and suitability assessment.
Main Results:
- The additive star-NDEA model accurately identifies sources of hospital inefficiency.
- Logistics departments consistently achieved the highest efficiency (approx. 0.9).
- Varied departmental efficiencies were observed, with lowest scores in internal inpatient and clinic departments.
Conclusions:
- The additive star-NDEA model is suitable for assessing hospital and departmental efficiency.
- Highlights the importance of advanced quantitative models for optimizing hospital performance and resource utilization.
- Findings support targeted interventions to improve service delivery and overall technical efficiency.
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