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KMID : 1044620180510030154
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Journal of Preventive Medicine and Public Health
2018 Volume.51 No. 3 p.154 ~ p.162
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Probability of Early Retirement Among Emergency Physicians
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Shin Jae-Myeong
Kim Yun-Jeong
Kim Jong-Kun
Lee Dong-Eun
Moon Sung-Bae
Choe Jae-Young
Lee Won-Kee
Lee Hyung-Min
Cho Kwang-Hyun
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Abstract
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Objectives: Early retirement occurs when one’s job satisfaction suffers due to employment mismatch resulting from factors such as inadequate compensation. Medical doctors report high levels of job stress and burnout relative to other professionals. These levels are highest among emergency physicians (EPs), and despite general improvements in their working conditions, early retirement continues to become more common in this population. The purpose of this study was to identify the factors influencing EPs intention to retire early and to develop a probability equation for its prediction.
Methods: A secondary analysis of data from the 2015 Korean Society of Emergency Physicians Survey was performed. The variables potentially influencing early retirement were organized into personal characteristics, extrinsic factors, and intrinsic factors. Logistic regression analysis was performed to identify risk factors and to develop a probability equation; these findings were then arranged in a nomogram.
Results: Of the 377 survey respondents included in the analysis, 48.0% intended to retire early. Risk factors for early retirement included level of satisfaction with the specialty and its outlook, slanderous reviews, emergency room safety, health status, workload intensity, age, and hospital type. Intrinsic factors (i.e., slanderous reviews and satisfaction with the specialty and its outlook) had a stronger influence on early retirement than did extrinsic factors.
Conclusions: To promote career longevity among EPs, it is vital to improve emergency room safety and workload intensity, to enhance medical professionalism through a stronger vision of emergency medicine, and to strengthen the patient-doctor relationship.
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KEYWORD
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Emergency physicians, Intention, Nomograms, Retirement, Risk factors, Workload
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