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Assessment of performance in teaching hospitals: Using multicriteria decision-making techniques
Mehdi Jafari1,2, Maryam Seyedjavadi1, Rouhollah Zaboli3
1Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Journal of Education and Health Promotion
|October 16, 2020
Summary
This study used multi-criteria decision-making methods, including the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), to evaluate teaching hospital performance. Key indicators identified were bed turnover rate, emergency clients, and length of stay.
Area of Science:
- Healthcare Management
- Health Services Research
- Operations Research
Background:
- Effective hospital performance evaluation is crucial for healthcare system development and competition.
- Measuring efficiency and effectiveness of hospital programs, processes, and human resources requires robust evaluation systems.
- Teaching hospitals, integral to medical education and research, necessitate specific performance assessment frameworks.
Purpose of the Study:
- To evaluate the performance of teaching hospitals affiliated with Shahid Beheshti University of Medical Sciences.
- To apply multi-criteria decision-making (MCDM) methods, specifically TOPSIS and AHP, for hospital performance assessment.
- To identify and prioritize key performance indicators (KPIs) for comprehensive hospital evaluation.
Main Methods:
- A cross-sectional, descriptive study conducted in 2019 involving all affiliated teaching hospitals.
- Data collection using a standard checklist, followed by analysis with AHP and TOPSIS.
- Expert panel involvement to weigh KPIs and select the most significant indicators for hospital performance.
Main Results:
- The Analytic Hierarchy Process (AHP) was employed to prioritize key performance indicators (KPIs).
- Expert evaluation identified three primary indicators for assessing teaching hospital performance: bed turnover rate, emergency client volume, and patient length of stay.
- The study highlights the importance of selecting and prioritizing relevant KPIs for accurate performance measurement.
Conclusions:
- Traditional hospital evaluation often relies on single indicators, potentially overlooking multifaceted performance aspects.
- Multi-criteria decision-making (MCDM) models offer a superior approach to identifying critical indicators.
- Combining selected KPIs within an MCDM framework enables a more comprehensive and accurate assessment of hospital roles and overall performance.
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