Document Type : Original Article
Authors
1 Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences Health Managers Development Institute, Ministry of Health and Medical Education
2 Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences
3 Department of Health Administration, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
Abstract
BACKGROUND: It is essential to evaluate the performance of hospitals in the health system.
Hospitals need a performance evaluation system to develop and compete in order to measure the
efficiency and effectiveness of their programs, processes, and human resources. This study aimed
to evaluate the performance of teaching hospitals using the Technique for Order of Preference by
Similarity to Ideal Solution (TOPSIS) method and hierarchical analysis.
MATERIALS AND METHODS: This was a cross‑sectional and descriptive study conducted in 2019
in all teaching hospitals affiliated to Shahid Beheshti University of Medical Sciences. The required
data were collected using a standard checklist. The collected data were analyzed using the analytic
hierarchy process (AHP) and TOPSIS. In the first phase, annual indicators of hospital evaluation
were collected. Following the AHP, key performance indicators (KPIs) were selected and prioritized
in hospitals.
RESULTS: The questionnaires were provided to 15 experts to weigh KPIs, and the most important
indicators were selected. The results of hierarchical analysis showed that three main indicators in
evaluating the performance of hospitals were bed turnover rate, emergency clients, and length of stay.
CONCLUSIONS: One of the problems in evaluating hospitals is the use of key indicators that
alone measure the quantity or quality of their performance. Multicriteria decision‑making can be
used to determine key indicators first, and then by combining these indicators into a multicriteria
decision‑making model, a better assessment of the role and performance of hospitals can be provided.
Keywords
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