An Analytic Hierarchy Process Contingency Analysis of Factors Affecting the Emigration Decision of Medical Doctors in Turkey.

IF 3 Q1 PSYCHOLOGY, CLINICAL
Cigdem Kadaifci, Y Ilker Topcu, Enrique Mu
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Abstract

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.

对影响土耳其医生移民决定的因素进行层次分析法权变分析。
虽然明确识别并考虑决策内容和背景等权变因素的重要性已被广泛接受,认为这是确保针对手头具体任务进行决策分析的有效性的一种方法,但很少有研究包含这一点。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(MDs)移民决定的因素。开展这项研究的动机源于这样一种观察,即土耳其医学博士向外移民的趋势日益明显,对该国的医疗保健系统产生了重大影响。处理医学博士移民问题对于确保有效和可持续的医疗保健系统至关重要,特别是在服务的可获得性、满意度和医疗保健人员的就业方面。情境因素是通过咨询专家明确确定的,而一般因素则是从医学移民专业文献中获取的。我们采用了层次分析法对这些因素进行了优先排序。对 73 名参与者进行了关于出国留学或工作意向的调查。调查结果显示,报酬低和因国家政治局势而对未来感到焦虑是促使他们做出移民决定的两个最重要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.40
自引率
12.50%
发文量
111
审稿时长
8 weeks
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