Study of Mental Health Status of the Resident Physicians in China During the COVID-19 Pandemic

World Psychiatric Association-Asian Journal of Psychiatry Commission on the Mental Health and Wellbeing of International Medical Graduates

Historically, doctors have migrated for a range of personal, educational, economic, and political reasons. Likewise, medical students from many countries have moved abroad to complete their training and education and may or may not return to their country of origin. Within this context, globalisation has had a major impact on medical education and healthcare workforces, contributing to recent migration trends. Globalisation is a complex phenomenon with positive and negative outcomes. For example, lower-income countries are regularly losing doctors to higher-income areas, thereby exacerbating strains on existing services. Across various national healthcare settings, migrating International Medical Graduates (IMGs) can face socioenvironmental and psychosocial pressures, which can lead to lower mental wellbeing and undermine their contributions to clinical care. Rates of stress and burnout are generally increasing for doctors and medical students. For IMGs, stressors related to migration, acculturation, and adjustment are not dissimilar to other migrants but may carry with them specific nuances. Accordingly, this Commission will explore the history of IMG trends and the challenges faced by IMGs, proposing recommendations and solutions to support their mental health and wellbeing.

The prevalence and factors associated with posttraumatic growth after 3-years outbreak of COVID-19 among resident physicians in China: a cross-sectional study

Introduction

The Coronavirus disease 2019 (COVID-19) pandemic is a global traumatic event that has profoundly struck individuals' mental health. However, this might potentially promote positive transformation such as posttraumatic growth (PTG). Studies have indicated that the COVID-19 pandemic negatively affected the well-being of resident physicians, but little is known about PTG among this vulnerable population in China. Therefore, this study investigated the prevalence and associated factors of PTG among Chinese resident physicians after 3-years outbreak of COVID-19.

Methods

An online survey was conducted from 9 March to 20 March in 2023. PTG was assessed using the 10-item Posttraumatic Growth Inventory-Short Form (PTGI-SF). Scores ≥30 implied moderate-to-high PTG. We also collected possible associated factors for PTG, including socio-demographic and psychological variables. Data was analyzed by applying descriptive statistics, univariable and multivariable logistic regression models.

Results

In total, 2267 Chinese resident physicians provided validated data. 38.7% of them reported moderate-to-high PTG. In the multivariable logistic regression models, age (odds ratio, OR = 1.039; 95% confidence interval, 95%CI = 1.008-1.070), female (OR = 1.383, 95%CI = 1.151-1.662), satisfied or neutral with annual income (OR = 2.078, 95%CI = 1.524-2.832; OR = 1.416, 95%CI = 1.157-1.732), sufficient support at work (OR = 1.432, 95%CI = 1.171-1.751) and resilience (OR = 1.171, 95%CI = 1.096-1.252) were significantly positively associated with moderate-to-high PTG. On the contrary, burnout (OR = 0.653, 95%CI = 0.525-0.812), depression symptoms (OR = 0.700, 95%CI = 0.552-0.889), and stress (OR = 0.757, 95%CI = 0.604-0.949) were significantly negatively associated with moderate-to-high PTG.

Discussion

Overall, resident physicians in China experienced relatively high prevalence of PTG that could be associated with several psychosocial factors. Findings may provide evidence to develop interventions for resident physicians to systematically and constructively process traumatic events related to the pandemic and foster their PTG.

Influence factors analysis of COVID-19 Prevention behavior of chinese Citizens: a path analysis based on the hypothetical model

BACKGROUND

Under the outbreak of Coronavirus disease 2019 (COVID-19), a structural equation model was established to determine the causality of important factors that affect Chinese citizens' COVID-19 prevention behavior.

METHODS

The survey in Qingdao covered several communities in 10 districts and used the method of cluster random sampling. The research instrument used in this study is a self-compiled Chinese version of the questionnaire. Of the 1215 questionnaires, 1188 were included in our analysis. We use the rank sum test, which is a non-parametric test, to test the influence of citizens'basic sociodemographic variables on prevention behavior, and the rank correlation test to analyze the influencing factors of prevention behavior. IBM AMOS 24.0 was used for path analysis, including estimating regression coefficients and evaluating the statistical fits of the structural model, to further explore the causal relationships between variables.

RESULTS

The result showed that the score in the prevention behavior of all citizens is a median of 5 and a quartile spacing of 0.31. The final structural equation model showed that the external support for fighting the epidemic, the demand level of health information, the cognition of (COVID-19) and the negative emotions after the outbreak had direct effects on the COVID-19 prevention behavior, and that negative emotions and information needs served as mediating variables.

CONCLUSIONS

The study provided a basis for relevant departments to further adopt epidemic prevention and control strategies.

The potency of psychiatric questionnaires to distinguish major mental disorders in Chinese outpatients

BACKGROUND

Considering the huge population in China, the available mental health resources are inadequate. Thus, our study aimed to evaluate whether mental questionnaires, serving as auxiliary diagnostic tools, have efficient diagnostic ability in outpatient psychiatric services.

METHODS

We conducted a retrospective study of Chinese psychiatric outpatients. Altogether 1,182, 5,069, and 4,958 records of Symptom Checklist-90 (SCL-90), Hamilton Anxiety Rating Scale (HAM-A), and Hamilton Depression Rating Scale (HAM-D), respectively, were collected from March 2021 to July 2022. The Mann-Whitney U test was applied to subscale scores and total scores of SCL-90, HAM-A, and HAM-D between the two sexes (male and female groups), different age groups, and four diagnostic groups (anxiety disorder, depressive disorder, bipolar disorder, and schizophrenia). Kendall's tau coefficient analysis and machine learning were also conducted in the diagnostic groups.

RESULTS

We found significant differences in most subscale scores for both age and gender groups. Using the Mann-Whitney U test and Kendall's tau coefficient analysis, we found that there were no statistically significant differences in diseases in total scale scores and nearly all subscale scores. The results of machine learning (ML) showed that for HAM-A, anxiety had a small degree of differentiation with an AUC of 0.56, while other diseases had an AUC close to 0.50. As for HAM-D, bipolar disorder was slightly distinguishable with an AUC of 0.60, while the AUC of other diseases was lower than 0.50. In SCL-90, all diseases had a similar AUC; among them, bipolar disorder had the lowest score, schizophrenia had the highest score, while anxiety and depression both had an AUC of approximately 0.56.

CONCLUSION

This study is the first to conduct wide and comprehensive analyses on the use of these three scales in Chinese outpatient clinics with both traditional statistical approaches and novel machine learning methods. Our results indicated that the univariate subscale scores did not have statistical significance among our four diagnostic groups, which highlights the limit of their practical use by doctors in identifying different mental diseases in Chinese outpatient psychiatric services.