Coronavirus disease 2019 (COVID-19) has become a global health threat and has placed an extraordinary demand on healthcare workers around the world. In this study, we aim to examine the prevalence of burnout and its associated factors and experience among Malaysian healthcare workers during the COVID-19 pandemic through an embedded mixed-method study design. We found that more than half of Malaysian healthcare workers in this sample experienced burnout. Direct involvement in COVID-19 screening or treatment, having a medical condition, and less psychological support in the workplace emerged to be the significant factors in personal-, work-, and patient-related burnout. Participants described their workloads, uncertainties caused by the pandemic, challenging work–family balance, and stretched workplace relationships as the sources of burnout. Exhaustion appeared to be the major symptom, and many participants utilized problem-focused coping to deal with the adversities experienced during the pandemic. Participants reported physical-, occupational-, psychological-, and social-related negative impacts resulting from burnout. As the pandemic trajectory is yet unknown, these findings provide early insight and guidance for possible interventions.

Background: Smartphone plays a vital role in higher education as it serves as a device with multiple functions. Smartphone addiction was reported on the rise among college and university students. The addiction may result in unwanted consequences on their academic performance and psychological health. One factor that consistently relates to psychological distress and smartphone addiction is the neurotic personality trait. This study explored the relationship of smartphone addiction with psychological health and neuroticism among USM medical students. Methods: A cross-sectional study was carried out on medical students in a public medical school. DASS-21, the neuroticism-subscale of USMaP-i and SAS-SV were administered to measure psychological distress, neuroticism, and smartphone addiction of the medical students. Spearman correlation was performed to examine the correlation between smartphone addiction with psychological distress and neuroticism. Simple linear regression was performed to investigate relationship factors of smartphone addiction. Results: A total of 574 medical students participated in this study. The prevalence of smartphone addiction was 40.6%. It was higher among male (49.2%) compared to female (36.6%) medical students. The result showed a fair positive correlation between smartphone addiction and psychological health (rdepression = 0.277, p-value < 0.001; ranxiety = 0.312, p-value < 0.001; rstress = 0.329, p-value < 0.001). However, there was a poor positive correlation between smartphone addiction and neuroticism (r = 0.173, p-value < 0.001). The simple linear regression showed a significant increase in the levels of depression, anxiety, stress and neuroticism upon one unit increase in smartphone addiction (bdepression = 0.101, p-value < 0.001; banxiety = 0.120, p-value < 0.001; bstress = 0.132, p-value < 0.001; bneuroticism = 0.404, p-value < 0.05). These results indicated significant relationships between smartphone addiction, psychological health and neuroticism. Conclusion: This study suggested a high prevalence of smartphone addiction among medical students, particularly in male medical students. The smartphone addiction might lead to psychological problems and the most vulnerable group is the medical student with the neurotic personality trait.

Background: Stress and burnout commonly threaten the mental health of medical students in Malaysia and elsewhere. This study aimed to explore the interrelations of psychological distress, emotional intelligence, personality traits, academic stress, and burnout among medical students. Methods: A cross-sectional study was conducted with 241 medical students. Validated questionnaires were administered to measure burnout, psychological distress, emotional intelligence, personality traits, and academic stress, respectively. A structural equation modelling analysis was performed by AMOS. Results: The results suggested a structural model with good fit indices, in which psychological distress and academic stress were noted to have direct and indirect effects on burnout. The burnout levels significantly increased with the rise of psychological distress and academic stress. Neuroticism was only found to have significant indirect effects on burnout, whereby burnout increased when neuroticism increased. Emotional intelligence had a significant direct effect on lowering burnout with the incremental increase of emotional intelligence, but it was significantly reduced by psychological distress and neuroticism. Conclusion: This study showed significant effects that psychological distress, emotional intelligence, academic stress, and neuroticism have on burnout. Academic stress and neuroticism significantly increased psychological distress, leading to an increased burnout level, while emotional intelligence had a significant direct effect on reducing burnout; however, this relationship was compromised by psychological distress and neuroticism, leading to increased burnout. Several practical recommendations for medical educators, medical students, and medical schools are discussed.

Many studies have shown that the prevalence of psychological distress among medical students during medical training is higher than that in general population. A few studies have shown that the prevalence of psychological distress among medical students before the onset of medical training was similar to general population. This study aimed to investigate psychological health of medical students before and during medical training. A one-year prospective study was done on successful applicants who undergo the first year of medical training for 2010/2011 academic session. The stress, anxiety and depression were measured by the DASS-21 at five intervals; during interview (Time 0), two months (Time 1), four months (Time 2), six months (Time 3) and final examination (Time 4) of the first year medical training. The prevalence of unfavourable stress, anxiety and depression before the onset of medical training was 4.1%, 55.6% and 1.8%, respectively. The prevalence of unfavourable stress during medical training ranged between 11.8% and 19.9%. The prevalence of anxiety during medical training ranged between 41.1% and 56.7%. The prevalence of depression during medical training ranged between 12% and 30%. Mean scores of stress and depression before (Time 0) and during medical training (Time 1–4) were significantly different (p < 0.001). The prevalence and level of unfavourable stress and depression during medical training were significantly higher than before the onset medical training. This study supports views that medical training is not an optimal environment to psychological health of medical students.