Analytic hierarchy process for hospital site selection

Abstract

Aim: This study investigated a decision support model for site selection to establish a new hospital based on the analytic hierarchy process (AHP). The main purpose of this study was to select the best site for a hospital using this process in Mugla, Turkey. Method: AHP was employed as the methodological tool for the selection of the site. The study was based on 6 criteria and 19 sub-criteria. All districts in the province of Mugla were evaluated as alternatives. These districts include: Bodrum, Dalaman, Datca, Fethiye, Kavaklidere, Koycegiz, Marmaris, Mentese, Milas, Seydikemer, Ula, and Yatagan. The alternatives were ranked using a 1-9 Saaty scale. The analysis of the hierarchy model was conducted by using the Super Decisions 2.2.6 software program. Results: Results show that demand is the most important factor in determining the appropriate hospital site, followed by accessibility, competitors, government, related industry and environmental conditions. According to the results, Bodrum was chosen to be the best site to establish a new hospital. Conclusion: Due to limited resources in developing countries such as Turkey, it is critical that decisions are made as a result of scientific research. In this context, investors need to take into account some factors in line with this aim. The proposed evaluation criteria provide a reference for hospital administrators and investors in the selection of hospital sites using AHP. (C) 2019 Fellowship of Postgraduate Medicine. Published by Elsevier Ltd. All rights reserved.