Prediction of Mental Health in Medical Workers During COVID-19 Based on Machine Learning.
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ABSTRACT:
SUBMITTER: Wang X
PROVIDER: S-EPMC8452905 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background: Since the outbreak of COVID-19, physical and psychological harm has been spreading across the global population alongside the spread of the virus. Currently, the novel coronavirus has spread to most countries in the world, and its impact on the public is also increasing. As a high-risk group in direct contact with the virus, medical workers should be monitored, and their mental health deserves extensive attention. The aim of this study was to explore the mental health of medical workers facing the novel coronavirus and the main factors affecting it. Methods: The present cross-sectional study including 2,100 eligible individuals from 1,050 hospitals in China was conducted through the network platform powered by www.wjx.cn, a platform providing functions equivalent to Amazon Mechanical Turk. We used a self-designed questionnaire to collect demographic information and data on mental states, including gender, age (years), educational level, job rank, body and mind reaction, cognition of risk, and the judgment of the epidemic situation. Independent samples t-tests and one-way (ANOVA) analysis were carried out to compare the differences in the mental reactions according to the demographic and psychological states of the participants. Results: There were 502 males (23.9%) and 1,598 females (76.1%). The participants reported feeling calm (39.1%), tense (63.0%), scared (31.4%), angry (18.8%), sad (49.0%), afraid (34.7%), optimistic (5.1%), impressed (65.0%), and confident (31.1%) during the epidemic. At the same time, the psychological stress responses of medical staff were significantly different according to the levels of exposure in their environments, duration and personal experience. Conclusions: Prolonged exposure to the virus and intense work are detrimental to the mental health of medical care personnel. It is necessary to adjust work conditions and intensity according to workers' mental state flexibly and systematically.
| S-EPMC7536346 | biostudies-literature
Project description:ObjectiveWe explored whether medical health workers had more psychosocial problems than nonmedical health workers during the COVID-19 outbreak.MethodsAn online survey was run from February 19 to March 6, 2020; a total of 2,182 Chinese subjects participated. Mental health variables were assessed via the Insomnia Severity Index (ISI), the Symptom Check List-revised (SCL-90-R), and the Patient Health Questionnaire-4 (PHQ-4), which included a 2-item anxiety scale and a 2-item depression scale (PHQ-2).ResultsCompared with nonmedical health workers (n = 1,255), medical health workers (n = 927) had a higher prevalence of insomnia (38.4 vs. 30.5%, p < 0.01), anxiety (13.0 vs. 8.5%, p < 0.01), depression (12.2 vs. 9.5%; p< 0.04), somatization (1.6 vs. 0.4%; p < 0.01), and obsessive-compulsive symptoms (5.3 vs. 2.2%; p < 0.01). They also had higher total scores of ISI, GAD-2, PHQ-2, and SCL-90-R obsessive-compulsive symptoms (p ? 0.01). Among medical health workers, having organic disease was an independent factor for insomnia, anxiety, depression, somatization, and obsessive-compulsive symptoms (p < 0.05 or 0.01). Living in rural areas, being female, and being at risk of contact with COVID-19 patients were the most common risk factors for insomnia, anxiety, obsessive-compulsive symptoms, and depression (p < 0.01 or 0.05). Among nonmedical health workers, having organic disease was a risk factor for insomnia, depression, and obsessive-compulsive symptoms (p < 0.01 or 0.05).ConclusionsDuring the COVID-19 outbreak, medical health workers had psychosocial problems and risk factors for developing them. They were in need of attention and recovery programs.
| S-EPMC7206349 | biostudies-literature
Project description:In late December 2019, the novel coronavirus (Sars-Cov-2) and the resulting disease COVID-19 were first identified in Wuhan China. The disease slipped through containment measures, with the first known case in the United States being identified on January 20th, 2020. In this paper, we utilize survey data from the Inter-university Consortium for Political and Social Research and apply several statistical and machine learning models and techniques such as Decision Trees, Multinomial Logistic Regression, Naive Bayes, k-Nearest Neighbors, Support Vector Machines, Neural Networks, Random Forests, Gradient Tree Boosting, XGBoost, CatBoost, LightGBM, Synthetic Minority Oversampling, and Chi-Squared Test to analyze the impacts the COVID-19 pandemic has had on the mental health of frontline workers in the United States. Through the interpretation of the many models applied to the mental health survey data, we have concluded that the most important factor in predicting the mental health decline of a frontline worker is the healthcare role the individual is in (Nurse, Emergency Room Staff, Surgeon, etc.), followed by the amount of sleep the individual has had in the last week, the amount of COVID-19 related news an individual has consumed on average in a day, the age of the worker, and the usage of alcohol and cannabis.
| S-EPMC9438361 | biostudies-literature
Project description:BackgroundPrior to the COVID-19 pandemic, medical students exhibited poorer mental health relative to the general population and other students. This research aimed to assess American medical student mental health during the pandemic's height, while also identifying stressors and vulnerable populations.MethodsIn this cross-sectional study, 960 US allopathic and osteopathic medical students completed a mental health survey screening for depression, anxiety, burnout, suicidal ideation and increased substance use during the height of the COVID-19 pandemic. Potential relationships were explored between these mental health indicators and demographic and environmental factors, such as COVID-19 exposure.FindingsOf the 960 medical students surveyed, 25.1% (n = 241) screened positive for depression, 40.4% (n = 388) screened positive for anxiety, 21.3% (n = 201) met criteria for at least one dimension of burnout, 19.0% (n = 182) started or increased substance use and 7.2% (n = 69) experienced thoughts of self-harm or suicide. Significant differences (p ≤ 0.01) in measures of mental health were associated with those who had accessed mental health care, had a personal COVID-19 diagnosis, knew someone who died of COVID-19 or were female.ConclusionsAlthough rates of anxiety and substance use among medical students in our study were higher than previously reported, rates of burnout and thoughts of self-harm or suicide were surprisingly lower. These results indicate that some aspects of remote learning imposed by the pandemic could be protective, warranting additional study for post-pandemic medical education. Meanwhile, medical schools and clerkships should offer additional resources to students particularly vulnerable to stressors, including females and those with personal pandemic impacts.
| S-EPMC9353278 | biostudies-literature
Project description: Not available
| S-BSST1055 | biostudies-other
Project description:BackgroundThis study was designed to assess the prevalence of anxiety and depression symptoms and understand factors influencing mental health among dental health care workers (DHCWs) during the COVID-19 pandemic.MethodsBeginning in June 2020, 8,902 DHCWs participated monthly in an anonymous longitudinal, web-based survey (response rate, 6.7%). The Patient Health Questionnaire-4 was used to estimate rates of anxiety and depression symptoms. Changes in mental health over time and differences by demographic and practice characteristics, COVID-19 community transmission level, and COVID-19 vaccination status were tested using χ2 tests and multilevel multivariable logistic regression.ResultsAnxiety symptom rates peaked in November 2020 (28% of dental hygienists, 17% of dentists) and declined to 12% for both professions in May 2021. Depression symptom rates were highest in December 2020 (17% of dental hygienists, 10% of dentists) and declined to 8% in May 2021. Controlling for gender, age, race or ethnicity, and COVID-19 community transmission level, the authors found that dentists had significantly lower odds of anxiety symptoms (adjusted odds ratio [aOR], 0.82; 95% CI, 0.70 to 0.95) and depression symptoms (aOR, 0.79; 95% CI, 0.67 to 0.93) than dental hygienists. Compared with vaccinated respondents, those who were unvaccinated but planning on getting vaccinated had significantly higher rates of anxiety (aOR, 1.71; 95% CI, 1.20 to 2.44) and depression (aOR, 1.57; 95% CI, 1.07 to 2.29) symptoms.ConclusionsDHCWs' mental health fluctuated during the pandemic. Anxiety and depression in DHCWs were associated with demographic and professional characteristics as well as perceived risk of COVID-19.Practical implicationsMental health support should be made available for DHCWs. This clinical trial was registered at ClinicalTrials.gov. The registration numbers are NCT04423770 and NCT04542915.
| S-EPMC9310057 | biostudies-literature
Project description:IntroductionThe coronavirus disease 2019 (COVID-19) pandemic caused significant changes in the everyday functioning of the general population, as well as medical workers. Medical personnel, especially those in direct contact with COVID-19 patients, could have increased levels of stress, anxiety, and depression. The objective of this study was to explore the mental health status of medical personnel in Serbia during the pandemic by assessing stress levels, symptoms of anxiety, and depression.MethodsThis cross-sectional study was conducted as an online-based survey, in the period from 8 April to 14 April 2020, during the COVID-19 pandemic. The study included 1678 participants, and the snowball sampling technique was used to reach healthcare professionals. The level of stress and symptoms of depression and anxiety were assessed among medical personnel in Serbia by the 10-item Perceived Stress Scale (PSS), the Beck Depression Inventory IA (BDI-IA), and the 7-item Generalized Anxiety Disorder Scale (GAD-7), respectively.ResultsA total of 1678 participants completed the survey, with a mean age of 40.38 ± 10.32 years, of which 1,315 (78.4%) were women, and 363 (21.6%) were men. Out of these, 684 (40.8%) participants were medical personnel, and 994 (59.2%) were people of other professions. Frontline medical personnel reported higher scores on all measurement tools than second-line medical personnel (e.g., mean PSS scores: 19.12 ± 5.66 versus 17.53 ± 5.71; p = .006; mean GAD-7 scores: 8.57 ± 6.26 versus 6.73 ± 5.76; p = .001; mean BDI-IA scores: 9.25 ± 8.26 versus 7.36 ± 7.28; p = .006). Binary logistic regression showed that the probability of developing more severe anxiety symptoms doubles in frontline medical personnel.ConclusionOur findings suggest that frontline medical personnel is under an increased psychological burden during the COVID-19 pandemic, having higher levels of stress, anxiety, and depression than second-line medical personnel. Adequate measures should be taken to relieve this burden and preserve the mental health of frontline medical personnel.
| S-EPMC7645856 | biostudies-literature
Project description:ObjectivesThis study aimed to measure the prevalence of burnout syndrome, anxiety, depression, and post-traumatic disorders (PTSD), as well as examine their associated factors among Thai healthcare workers (HCWs) during COVID-19 outbreak.MethodWe employed a multiple-method design at a tertiary-care hospital in Bangkok between May 22, 2021 and June 30, 2021 by using an online survey. The information included demographic characteristics, work details, perceived support, PTSD symptoms, Maslach Burnout Inventory: General Survey (MBI-GS), General Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire (PHQ-2 and PHQ-9), and narrative response to an open-ended question. The associated factors of mental health problems were analysed by multiple logistic regression analyses. The qualitative data were analysed by the content analysis method.ResultsA total of 986 HCWs (89.1% female; mean age = 34.89 ± 11.05 years) responded to the survey. 16.3%,16%, and 53.5% of respondents had a high level of emotional exhaustion, depersonalisation, and diminished personal achievement, respectively. 33.1%, 13.8%, and 2.3% of respondents had anxiety, depression, and PTSD. Risk factors of emotional exhaustion were male sex (ORadj = 2.29), nurses (ORadj = 3.04), doctors (ORadj = 4.29), working at COVID-19 inpatient unit (ORadj = 2.97), and working at COVID-19 intensive care unit (ORadj = 3.00). Additionally, preexisting mental illness was associated with anxiety (ORadj = 2.89), depression (ORadj = 3.47), and PTSD (ORadj = 4.06). From qualitative analysis, participants reported that these factors would improve their mental health: supportive and respectful colleagues, appropriate financial compensation, reduced workload, clarity of policy and communication channel, and adequate personal protective equipment.ConclusionsThai HCWs experienced negative mental health outcomes during the COVID-19 pandemic substantially. This issue needs attention and actions should be implemented to support them.
| S-EPMC9122199 | biostudies-literature
Project description:In reference to the announcement of the pandemic of the new coronavirus 2019-(nCoV), all educational institutions in the Republic of Kazakhstan have switched to online learning (OL). The purpose of this study was to investigate the mental state of the medical students switching to OL in comparison with the mental state of the students who had traditional learning (TL). A repeated questionnaire-based cross-sectional study was conducted among medical students ranging from 1st year to 5th year at Astana Medical University in the 2019-2020 academic year. The first study was conducted during the TL (October-November 2019, N = 619), and the second study was conducted during the OL period (April 2020, N = 798). Burnout syndrome, depression, anxiety, somatic symptoms, and satisfaction with academic performance have been studied. The findings revealed that prevalence of the burnout syndrome, depression, anxiety, and somatic symptoms decreased after transitioning from TL to OL. However, during the OL period, the prevalence of colleague-related burnout increased, which tells us about the negative impact of OL on students' communication and interpersonal relationships. The most common depression and anxiety symptoms, dissatisfaction with academic performance were among students who indicated a decrease in academic performance during OL. Students who lived alone during the quarantine were more prone to depression during OL. In conclusion, during the quarantine period after the transition from TL to OL, the mental health state of medical students improved, despite the severe conditions of the pandemic.Supplementary informationThe online version contains supplementary material available at 10.1007/s40670-020-01165-y.
| S-EPMC7673686 | biostudies-literature
Project description:BackgroundA large number of workers attend work despite being ill. Attending work during sickness can have a number of consequences for the worker (e.g., worsening of physical and mental condition), for co-workers, and for the company, and for service users.ObjectivesThe aim of this study was to assess the factors influencing presenteeism and mental health of workers during the COVID-19 pandemic.MethodsA systematic review following the PRISMA format was conducted in the PubMed, Scopus, Web of Science (WoS), Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, and ScienceDirect electronic databases in January 2023, using the following key words: Presenteeism, Mental Health, and COVID-19. The eligibility criteria applied were original articles published in English, Spanish, French, German, and Portuguese, workers during the COVID-19 pandemic (data collection date: January 01, 2020 - January 01, 2023), and articles assessing at least one measure of presenteeism and mental health status. Methodological quality was assessed using the critical appraisal tools of the Joanna Briggs Institute. The followed protocol is listed in the International Prospective Register of Systematic Reviews (PROSPERO) with code CRD42023391409.ResultsA total of 25 studies were included in this review recruiting a total of 164,274 participants. A number of factors influencing mental health and sickness presenteeism were identified: (1) mental health-related factors (burnout [in 4 studies], stress [in 9 studies], depression [in 1 study], fear of COVID-19 [in 1 study], no well-being [in 2 studies], etc.); (2) individual factors (health status [in 1 study], being young [in 1 study], workers who experienced interrupted medical care [in 2 studies], having a chronic disease [in 1 study], etc.); (3) factors related to the situation caused by COVID-19 (confinement, symptoms, loss of contract, risk of bankruptcy, etc. [in 1 study each one]); and (4) factors derived from working conditions (organisational support [in 1 study], patient care [in 1 study], work functioning or task performance impairment [in 4 studies], work fatigue [in 2 studies], safety climate [in 1 study], workload [in 1 study], etc.).ConclusionIdentifying the key determinants of presenteeism and understanding the phenomena and origins of sickness presenteeism will help to create a safe working environment and optimal organisational systems to protect vulnerable workers in a pandemic context.Systematic review registrationThe unique identifier is CRD42023391409.
| S-EPMC10536966 | biostudies-literature