Kadaifci Cigdem, Topcu Y Ilker, Mu Enrique
Faculty of Management, Department of Industrial Engineering, Istanbul Technical University, Macka, 34367 Istanbul, Turkey.
Department of Business Management, Accounting & Ethics, Carlow University, Pittsburgh, PA 15213, USA.
Eur J Investig Health Psychol Educ. 2024 Mar 7;14(3):623-647. doi: 10.3390/ejihpe14030041.
While the importance of explicitly identifying and considering contingent factors such as decision content and context is widely accepted as a way to ensure the validity of the decision analysis for the specific task at hand, few studies include this. This research uses a contingency theoretical approach to study factors affecting the emigration decision of medical doctors (MDs) for the specific case of Turkey. The motivation for conducting this study arises from the observation that the growing trend in emigration among MDs from Turkey is having a significant impact on the country's healthcare system. Dealing with the emigration of MDs is crucial for ensuring an effective and sustainable healthcare system, especially in terms of the availability of services, satisfaction, and employment of the healthcare staff. Contextual factors were explicitly identified through consultation with experts, while the generic factors were retrieved from the specialized medical migration literature. The Analytic Hierarchy Process method was utilized to prioritize the factors. Seventy-three participants were surveyed about their intention to either study or work abroad. The findings reveal that low remuneration and anxiety about their future due to the political situation in the country constitute the two most important factors driving the decision to emigrate.
虽然明确识别和考虑诸如决策内容和背景等偶然因素的重要性已被广泛认可，这是确保针对手头特定任务的决策分析有效性的一种方式，但很少有研究做到这一点。本研究采用权变理论方法，针对土耳其的具体情况，研究影响医生移民决策的因素。开展这项研究的动机源于观察到，土耳其医生移民的增长趋势正对该国的医疗体系产生重大影响。应对医生移民对于确保有效的可持续医疗体系至关重要，特别是在服务可及性、满意度以及医护人员就业方面。通过与专家协商明确识别了背景因素，而一般因素则从专业的医疗移民文献中获取。运用层次分析法对这些因素进行优先级排序。对73名参与者进行了关于他们在国外学习或工作意向的调查。研究结果表明，低薪酬以及因该国政治局势而对未来感到焦虑是推动移民决策的两个最重要因素。
