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Prevalence and predictors of occupational burnout among first-year medical residents in Oman: the role of trait emotional intelligence

Published online by Cambridge University Press:  16 January 2025

Salim Al-Huseini
Affiliation:
Specialist Psychiatrist, Department of Psychiatry, Al Masarra Hospital, Ministry of Health, Muscat, Oman
Mohammed Al Alawi
Affiliation:
Assistant Professor and Consultant Psychiatrist, College of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman
Naser Al-Balushi
Affiliation:
Consultant Psychiatrist, Department of Behavioral Medicine, Sultan Qaboos University Hospital, Muscat, Oman
Hamed Al Sinawi
Affiliation:
Senior Consultant Psychiatrist, Department of Behavioral Medicine, Sultan Qaboos University Hospital, Muscat, Oman
Hassan Mirza
Affiliation:
Senior Consultant Psychiatrist, Department of Behavioral Medicine, Sultan Qaboos University Hospital, Muscat, Oman
Rola Al Balushi
Affiliation:
Clinical Psychologist, Department of Behavioral Medicine, Sultan Qaboos University Hospital, Muscat, Oman
Manal Al Balushi
Affiliation:
Senior Specialist Psychiatrist, Ministry of Health, Muscat, Oman
Sachin Jose
Affiliation:
Statistician, Studies and Research Section, Oman Medical Specialty Board, Muscat, Oman
Angie Cucchi
Affiliation:
Senior Lecturer, London Metropolitan University, London, UK
Nasser Al-Sibani
Affiliation:
Associate Professor and Senior Consultant Psychiatrist, College of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman
Samir Al-Adawi
Affiliation:
Professor, College of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman
Nagina Khan
Affiliation:
Senior Clinical Research Fellow in Primary Care, Director of Applied Health and Care Studies, Centre for Health Services Studies (CHSS), Division of Law, Society and Social Justice, School of Social Sciences, University of Kent, Canterbury, UK, email: n.khan-523@kent.ac.uk
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Abstract

Previous research has focused on the significance of occupational burnout and the role of emotional intelligence and poor coping abilities among physicians.

Our study aimed to assess the prevalence of occupational burnout among first-year medical residents in Oman, exploring the relationship between trait emotional intelligence subscales and the three dimensions of burnout syndrome, and examining the association between sociodemographic covariates and the three dimensions of burnout syndrome.

The outcome measures included various indices of the abbreviated Maslach Burnout Inventory. The Trait Emotional Intelligence Questionnaire (TEI) and its subscales were examined.

The data showed a high burnout rate of 25.8%. Specifically, among the residents, 57.5% reported high levels of emotional exhaustion, 50.8% reported high depersonalisation and 49.2% reported a low sense of personal achievement. Age was significantly associated with depersonalisation (P < 0.003) and personal achievement (P < 0.0001). Marital status was the only variable significantly associated with emotional exhaustion (P = 0.001). Single residents had considerably lower emotional exhaustion than married residents (P = 0.001). The global mean score for the TEI was 4.77 (±0.64). A statistically significant relationship was found between personal achievement and emotional intelligence (r = 0.203, P = 0.026).

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Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Royal College of Psychiatrists
Figure 0

Table 1 Sociodemographic characteristics of the residents included in this study from 17 different subspecialities in Oman (N = 120)

Figure 1

Table 2 Mean descriptive analysis of the trait emotional intelligence and the abbreviated Maslach Burnout Inventory

Figure 2

Table 3 Association between sociodemographic characteristics and burnout domains derived from abbreviated Maslach Burnout Inventory

Figure 3

Table 4 Multivariate binary logistic regression analysis to identify the independent predictors of overall burnout among first-year residents

Figure 4

Table 5 Relationship between the subscale of trait emotional intelligence and burnout derived from the abbreviated Maslach Burnout Inventory

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