Emotional Intelligence as a Predictor of Resident Well-Being

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• 作者：Dana T. Lin ; MD ; FACS<sup> ; sup><sup>danalin@stanford.edu" class="auth_mail" title="E-mail the corresponding authorsup> ; Cara A. Liebert ; MD ; Jennifer Tran ; BS ; James N. Lau ; MD ; FACS ; Arghavan Salles ; MD ; PhD
• 关键词：BDI-SF ; Beck Depression Inventory-Short Form ; EI ; emotional intelligence ; MBI ; Maslach Burnout Inventory ; PGWBS ; Psychological General Well-Being Index ; TEIQue ; Trait Emotional Intelligence Questionnaire
• 刊名：Journal of the American College of Surgeons
• 出版年：2016
• 出版时间：August 2016
• 年：2016
• 卷：223
• 期：2
• 页码：352-358
• 全文大小：412 K

文摘

There is increasing recognition that physician wellness is critical; it not only benefits the provider, but also influences quality and patient care outcomes. Despite this, resident physicians suffer from a high rate of burnout and personal distress. Individuals with higher emotional intelligence (EI) are thought to perceive, process, and regulate emotions more effectively, which can lead to enhanced well-being and less emotional disturbance. This study sought to understand the relationship between EI and wellness among surgical residents.

sSec_2">Study Design

spara0015">Residents in a single general surgery residency program were surveyed on a voluntary basis. Emotional intelligence was measured using the Trait Emotional Intelligence Questionnaire-Short Form. Resident wellness was assessed with the Dupuy Psychological General Well-Being Index, Maslach Burnout Inventory, and Beck Depression Inventory-Short Form. Emotional intelligence and wellness parameters were correlated using Pearson coefficients. Multivariate analysis was performed to identify factors predictive of well-being.

sSec_3">Results

spara0020">Seventy-three residents participated in the survey (response rate 63%). Emotional intelligence scores correlated positively with psychological well-being (r = 0.74; p < 0.001) and inversely with depression (r = &minus;0.69, p < 0.001) and 2 burnout parameters, emotional exhaustion (r = &minus;0.69; p < 0.001) and depersonalization (r = &minus;0.59; p < 0.001). In regression analyses controlling for demographic factors such as sex, age, and relationship status, EI was strongly predictive of well-being (β = 0.76; p < 0.001), emotional exhaustion (β = &minus;0.63; p < 0.001), depersonalization (β = &minus;0.48; p = 0.002), and depression (β = &minus;0.60; p < 0.001).

sSec_4">Conclusions

spara0025">Emotional intelligence is a strong predictor of resident well-being. Prospectively measuring EI can identify those who are most likely to thrive in surgical residency. Interventions to increase EI can be effective at optimizing the wellness of residents.