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

Jia, Shuangzhen; Zhao, Yuzhen; Liu, Jiaqi; Guo, Xu; Chen, Moxian; Zhou, Shiwei; Zhou, Jianli

doi:10.3389/fpsyg.2022.764638

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Self-reported SCL-90, clinician-related HAM-A, and HAM-D are all widely used mental questionnaires in China, which are reported to have great potency in screening mental health, diagnosing, and estimating mental illness ( 22 – 24 ). In China, previous studies on SCL-90 focused primarily on students, doctors, nurses, police, and migrant workers, among others ( 24 – 27 ). All three scales were mostly used as tools to evaluate the severity of certain symptoms in a specific patient or in the normal adult group.…”

Section: Discussionmentioning

confidence: 99%

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

Wang

Zhu²,

Ai³

et al. 2022

Front. Psychiatry

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BackgroundConsidering 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.MethodsWe 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.ResultsWe 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.ConclusionThis 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.

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Section: Discussionmentioning

confidence: 99%

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

Wang

Zhu²,

Ai³

et al. 2022

Front. Psychiatry

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“…Considering the special psychology of residents under the epidemic such as anxiety, fear, depression, compulsion, and suspicion [ 18 , 19 ], negative emotions were referred to the Generalized Anxiety Scale (GAD-7) [ 20 ], Patient Health Questionnaire (PHQ-9) [ 21 ], and Symptom Self-Rating Scale (SCL-90) [ 22 ], containing six items as follows: (1) lack of energy or interest in doing things; (2) feeling depressed, frustrated, or hopeless; (3) repeatedly washing hands and scrubbing things, but always feel that they are not clean enough; (4) feel more nervous than before in places where people gather; (5) often suspect that they or their family members have been infected; and (6) often worry about the impact on their future lives. A 5-point scale was used for each item, ranging from “not at all” (1 point) to “almost every day” (5 points).…”

Section: Methodsmentioning

confidence: 99%

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

Wang

Deng

et al. 2022

BMC Public Health

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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.

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“…Besides, physicians at this stage may generally experience higher levels of stress due to factors such as insufficient clinical training, financial constraints, heavy academic workload, family responsibilities and job competitions ( 7 ). Consequently, they were more susceptible to burnout, sleep disturbances and psychological distress during this challenging period ( 8–10 ). Their impaired mental health would not only interfere with their personal and professional growth but also negatively influence the quality of patient care ( 11 ).…”

Section: Introductionmentioning

confidence: 99%

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

Zeng,

Wang,

Zhou

et al. 2023

Front. Psychiatry

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IntroductionThe 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.MethodsAn 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.ResultsIn 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.DiscussionOverall, 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.

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

Cited by 6 publications

References 21 publications

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

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

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

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

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