» Articles » PMID: 37384674

Prevalence of Burnout and Its Associated Factors Among Medical Students During COVID-19 Pandemic in Indonesia: A Cross-sectional Study

Overview
Journal PLoS One
Date 2023 Jun 29
PMID 37384674
Authors
Affiliations
Soon will be listed here.
Abstract

Shifting learning process due to COVID-19 has led to increased burnout prevalence among medical students. Thus, this study aimed to assess burnout prevalence and its associated factors among Indonesian medical students during the COVID-19 pandemic. An online cross-sectional study was carried out among medical students in Malang, Indonesia. Burnout was assessed using the Maslach Burnout Inventory-Student Survey tool. Pearson's Chi-square was used to assess significant associations, and binary logistic regression was conducted to evaluate the relationships between the predictor variables and burnout. The difference of each subscale score was evaluated using an independent sample t test. This study analyzed 413 medical students with a mean age of 21.1 ± 1.4 years old. About 29.5% and 32.9% of students reported a high level of emotional exhaustion and depersonalization, respectively, resulting in 17.9% of burnout prevalence. Stage of study was the only sociodemographic factor independently associated with burnout prevalence (odds ratio = 0.180, 95% confidence interval = 0.079-0.410, p-values = 0.000). Preclinical students had significantly higher levels of emotional exhaustion (p-value = 0.004, d = 0.3) and depersonalization (p-value = 0.000, d = 1.1), and lower levels of personal accomplishment (p-value = 0.000, d = -0.5). Around one-sixth of the medical students experienced burnout during the COVID-19 pandemic, with preclinical students being more prone to have burnout. Future study with other adjusted confounding factors is needed to completely understand the issue and obtain immediate interventional strategies to reduce burnout among medical students.

References
1.
Daryanto B, Putri F, Kurniawan J, Ilmawan M, Fajar J . The Prevalence and the Associated Sociodemographic-Occupational Factors of Professional Burnout Among Health Professionals During COVID-19 Pandemic in Malang, Indonesia: A Cross-Sectional Study. Front Public Health. 2022; 10:894946. PMC: 9332888. DOI: 10.3389/fpubh.2022.894946. View

2.
Mheidly N, Fares M, Fares J . Coping With Stress and Burnout Associated With Telecommunication and Online Learning. Front Public Health. 2020; 8:574969. PMC: 7686031. DOI: 10.3389/fpubh.2020.574969. View

3.
Brydges C . Effect Size Guidelines, Sample Size Calculations, and Statistical Power in Gerontology. Innov Aging. 2019; 3(4):igz036. PMC: 6736231. DOI: 10.1093/geroni/igz036. View

4.
Pei L, Wu H . Does online learning work better than offline learning in undergraduate medical education? A systematic review and meta-analysis. Med Educ Online. 2019; 24(1):1666538. PMC: 6758693. DOI: 10.1080/10872981.2019.1666538. View

5.
Aljadani A, Alsolami A, Almehmadi S, Alhuwaydi A, Fathuldeen A . Epidemiology of Burnout and Its Association with Academic Performance Among Medical Students at Hail University, Saudi Arabia. Sultan Qaboos Univ Med J. 2021; 21(2):e231-e236. PMC: 8219327. DOI: 10.18295/squmj.2021.21.02.011. View