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Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis.
Mustafa Jahangoshai Rezaee1, Abuzar Karimdadi
1Urmia University of Technology, Urmia, West Azerbaijan, Islamic Republic of Iran, jahangoshai@yahoo.com.
Journal of Medical Systems
|July 26, 2015
Summary
This study introduces a novel multi-group data envelopment analysis (DEA) model to evaluate hospital performance by considering geographical locations. Incorporating provincial groupings significantly alters efficiency scores, highlighting the importance of regional context in healthcare performance assessment.
Area of Science:
- Health Services Research
- Operations Research
- Healthcare Management
Background:
- Hospital performance evaluation is crucial for healthcare systems.
- Existing evaluation methods often overlook geographical factors.
- Geographical context can influence hospital operational environments.
Purpose of the Study:
- To propose a new approach for hospital performance evaluation.
- To develop a multi-group data envelopment analysis (DEA) model.
- To incorporate geographical location into hospital performance assessment.
Main Methods:
- Developed a multi-group data envelopment analysis (DEA) model.
- Classified 288 Iranian hospitals into 31 provincial groups.
- Evaluated hospitals within homogenous geographical environments.
Main Results:
- Hospital efficiency scores significantly changed when evaluated within provincial groups.
- The multi-group DEA model demonstrated the impact of geographical context.
- Regional variations in performance were highlighted by the analysis.
Conclusions:
- Geographical location is a critical factor in hospital performance evaluation.
- The proposed multi-group DEA model offers a more accurate assessment.
- Considering regional homogeneity improves the reliability of efficiency scores.
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