Author:
AlAhmari Fatimah Saeed,Aloqail Alaa,Almansour Shahad,Bagha Mohammad
Abstract
Abstract
Background
Medical residency is a part of postgraduate medical education and involves clinical training in a selected specialty. It is a challenging step in a physician’s professional development. This study aims to estimate the impact of the residency training program and demographic factors on the trainee’s state of well-being (SOW).
Methods
This was an observational cross-sectional study carried out in the year 2019–2020, which aimed to measure the SOW of residents undergoing clinical training in Riyadh, Saudi Arabia. A total of 260 residents participated in the study. A self-administered validated online the World Health Organization, Quality of Life Scale questionnaire- BREF was distributed to collect the data. The collected information on four different domains was analysed and compared across the baseline characteristics and different specialties. When appropriate, the independent sample t-test, bivariate correlation analysis, and ANOVA tests were used.
Results
A total of 260 resident responses were included in the final analysis The results revealed a significant difference in physical health scores (p = 0.006), social relationship scores (p = 0.038), and environmental scores (p < 0.001) while no significant difference was found in psychological health scores among the physicians’ specialties (p = 0.053). Post hoc comparison found statistically significant variations in the physical health domain between the medical and emergency specialties (p = 0.007), as well as surgical and emergency specialties (p = 0.024). There was also a significant difference between medical and emergency specialties (p = 0.008) in the social relationship domain. In the environment domain, significant variation was reported between medical specialties and emergency specialties (p = 0.001), as well asbetween surgical specialties and emergency specialties (p = 0.045). Female residents reported significantly lower quality of life in the physical (p = 0.020) and psychological (p = 0.032) domains.
Conclusions
A significant relationship was found between physical, social, and environmental domains according to residents’ specialties. The factors that affected one or more domains included age, female gender, marital status, disease status, the number of on-calls received, and workload. We emphasize the importance of implementing policies to regulate working hours and on-call schedules as well as prioritizing mental health support.
Publisher
Springer Science and Business Media LLC
Subject
Education,General Medicine
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