Burnout and Associated Factors among Medical Residents in Ahvaz Jundishapur University of Medical Sciences, Iran (2021)

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Zakerkish Mehrnoosh; Shakurnia Abdolhussein; Hafezi Ali; Maniati Mahmoud

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Journal Paper

Paper Information

Journal: JOURNAL OF OCCUPATIONAL HEALTH & EPIDEMIOLOGY Year:2024 | Volume:13 | Issue:2 Page(s): 99-106

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Information Journal Paper

Title

Burnout and Associated Factors among Medical Residents in Ahvaz Jundishapur University of Medical Sciences, Iran (2021)

Author(s)

Zakerkish Mehrnoosh | Shakurnia Abdolhussein | Hafezi Ali | Maniati Mahmoud | Issue Writer Certificate

Keywords

Burnout

Occupational Health

Medical Residency

Prevalence

Abstract

Background: Burnout is a common psychological state among medical residents, which may affect their training, safety, and clinical performance. This study aimed to examine Burnout, and its associated factors among the medical residents in university hospitals of Ahvaz Jundishapur University of Medical Sciences, Iran. Material and Methods: This was a cross-sectional study conducted on 300 medical residents from teaching hospitals in March 2021, using a web-based questionnaire. The validated Persian version of Maslach Burnout Questionnaire was used to collect the data. Multivariate linear regression analysis was used to identify factors significantly associated with Burnout. Results: From 300 medical residents, 291(97%) responded. The participants’ mean age was 32.9± 4.4, and over half (60.1%) were females, and 140(48.1%) were married. Burnout was reported by 77.3% of the medical residents. As far as emotional exhaustion (EE) was concerned, 25.1% reported high levels of Burnout. In addition, high levels of depersonalization (DP) were reported by 19.9% of the participants, and 32.3% indicated a sense of low professional accomplishment (PA). There were notable differences in Burnout and its dimensions among medical residents specializing in various fields, with surgical-specialty residents reporting the highest levels (p=0.000). Moreover, Burnout was significantly associated with age (p=0.036), residency year (p=0.001), and specialty type (p=0.000). Based on multiple linear regression model, higher Burnout scores were predicted by age (p=0.001), and specialty type (p=0.001). Conclusions: Based on our findings, there is a relatively high rate of Burnout among medical residents. Therefore, it is essential that stakeholders urgently take effective measures to protect medical residents’ mental health.

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