The novel coronavirus disease (COVID-19) has been rapidly transmitted in China, Macau, Hong Kong, and other Asian and European counterparts. This COVID-19 epidemic has aroused increasing attention ...nationwide. Patients, health professionals, and the general public are under insurmountable psychological pressure which may lead to various psychological problems, such as anxiety, fear, depression, and insomnia. Psychological crisis intervention plays a pivotal role in the overall deployment of the disease control. The National Health Commission of China has summoned a call for emergency psychological crisis intervention and thus, various mental health associations and organizations have established expert teams to compile guidelines and public health educational articles/videos for mental health professionals and the general public alongside with online mental health services. In addition, mental health professionals and expert groups are stationed in designated isolation hospitals to provide on-site services. Experts have reached a consensus on the admission of patients with severe mental illness during the COVID-19 outbreak in mental health institutions. Nevertheless, the rapid transmission of the COVID-19 has emerged to mount a serious challenge to the mental health service in China.
•ED nurses exposed to COVID-19 could be psychologically and mentally exhausted.•Prevalence of depression among 1,103 ED nurses was 43.61% (95% CI=40.68%–46.54%).•A heightened awareness of and timely ...treatment for depression for frontline ED nurses should be provided.
Frontline medical staff exposed to the novel coronavirus disease (COVID-19) could be psychologically and mentally exhausted. This study examined the prevalence of depressive symptoms (depression hereafter) and their correlates and the association between depression and quality of life (QOL) in Emergency Department (ED) nurses during the COVID-19 pandemic in China.
This national, cross-sectional online survey was conducted between March 15 and March 20, 2020 in China. Depression and QOL were measured using the 9-item Patient Health Questionnaire, and the World Health Organization Quality of Life Questionnaire-Brief Version, respectively.
The overall prevalence of depression in 1103 ED nurses was 43.61% (95% CI=40.68–46.54%). Multiple logistic regression analysis revealed that working in tertiary hospitals (OR=1.647, P=0.009), direct patient care of COVID-19 patients (OR=1.421, P=0.018), and current smokers (OR=3.843, P<0.001) were significantly associated with depression. After controlling for covariates, nurses with depression had an overall lower QOL compared to those without (F(1,1103)=423.83, P<0.001).
Depression was common among ED nurses during the COVID-19 pandemic. Considering the negative impact of depression on quality of patient care and nurses’ QOL, a heightened awareness of, and early treatment for depression for frontline ED nurses should be provided.
Network analysis is an effective approach for examining complex relationships between psychiatric symptoms. This study was designed to examine item-level relationships between depressive and anxiety ...symptoms using network analysis in an adolescent sample and identified the most central symptoms within the depressive-anxiety symptoms network model. Depressive and anxiety symptoms were assessed using the Patient Health Questionire-9 (PHQ-9) and Generalized Anxiety Disorder Screener (GAD-7), respectively. The structure of depressive and anxiety symptoms was characterized using "Strength" and "Bridge Strength" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Finally, a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed on the basis of gender, school grade and residence. Network analysis revealed that nodes PHQ2 ("Sad mood"), GAD6 ("Irritability"), GAD3 ("Worry too much"), and PHQ6 ("Guilty") were central symptoms in the network model of adolescents. Additionally, bridge symptoms linking anxiety and depressive symptoms in this sample were nodes PHQ6 ("Guilty"), PHQ2 ("Sad mood"), and PHQ9 ("Suicide ideation"). Gender, school grade and residence did not significantly affect the network structure. Central symptoms (e.g., Sad mood, Irritability, Worry too much, and Guilty) and key bridge symptoms (e.g., Guilty, Sad mood, and Suicide ideation) in the depressive and anxiety symptoms network may be useful as potential targets for intervention among adolescents who are at risk for or suffer from depressive and anxiety symptoms.
The health authorities reported that 3,019 Chinese health workers were infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), of whom, ten died. This article explored ...relevant reasons and offered suggestions to reduce the risk of infection and provide emergency psychological response for this population.
Deep learning (DL) has become a popular study topic in the field of artificial intelligence (AI) in recent years, due to its significant role in various application areas. It leverages supercomputing ...capacity in the era of big data to uncover the high-level abstract ideas in the original dataset and serves as decision support in the application sector by increasing the number of channels and the scale of parameters. This study designs and implements a heterogeneous medical education data analysis system based on DL technology. The proposed system adopts DL technology to model, analyzes the heterogeneous medical education data, uses the decision-level fusion strategy for the data model, and designs and implements the voting method and the weighting method. The decision value is statistically calculated to realize the improved DL algorithm for the medical college education data analysis method. In addition, this study also uses the Alzheimer’s disease public dataset with various structures and modalities of medical education data to compare and evaluate the systematic data preprocessing model performance and the effect of fusion methods. The experimental result validates the proposed model’s performance, demonstrating that the way of evaluating complete heterogeneous multimodal data is not only closer to the genuine diagnostic process but also aids clinicians in grasping the patient’s entire state and obtaining outcomes. Further, the essential ideas and implementation techniques of convolutional neural network (CNN) and stacked autoencoder as well as its application cases in medical college education data analysis are thoroughly explained.
Abstract Background Overdose-related suicide attempts represent a significant portion of self-harm presentations in the psychiatric emergency department (ED). Identifying specific patient ...characteristics associated with these attempts holds promise for pinpointing drug classes with elevated risk and paving the way for tailored suicide prevention interventions. This study aims to examine the demographic profiles of ED patients who had experienced overdose-related suicide attempts. Methods This retrospective study was conducted at Beijing Anding Hospital, Capital Medical University, from January 2020 to December 2021. Patients with psychiatric drug overdose suicide attempts presenting to the psychiatric ED were included. Sociodemographic characteristics and the specific classes of drugs involved were collected, and analysed descriptively. Results This study examined 252 overdose patients, excluding 51 patients treated with alcohol or nonpsychiatric drugs, and a total 201 cases were included. The mean age of the patients was 28 ± 16 years (median 23, range 12–78), and 82% ( n = 165) of the sample were females. Notably, nearly half (45%) of the patients were aged ≤ 20 years. While the number of cases decreased with increasing age, a significant increase was observed in 2021 compared to 2020. Benzodiazepines (BZDs) were the most frequently implicated substance class ( n = 126, 63%), followed by antidepressants ( n = 96, 48%), antipsychotics ( n = 44, 22%), Z-drugs ( n = 43, 21%), and mood stabilizers ( n = 36, 18%). For adolescents, antidepressants ( n = 52, 71%) overtook BZDs ( n = 38, 52%) as the most common drug. The monthly distribution of cases revealed peaks in April and November. Furthermore, 21% ( n = 42) of patients ingested more than two psychotropic medications concurrently. Finally, approximately half ( n = 92) of the patients required inpatient admission for further treatment. Comparisons between hospitalized and nonhospitalized patients did not reveal any significant differences. Conclusions The present study revealed a greater prevalence of suicide overdose attempts among young females receiving prescriptions for antidepressants and/or BZDs. This finding suggests a potential need for enhanced monitoring of suicidal behaviour in this specific population when prescribing psychotropic medications. These findings contribute to the growing body of knowledge regarding drug overdose suicide attempts in psychiatric emergency settings and underscore the importance of further research to develop targeted prevention interventions.
Purpose
Past suicide attempts (SA) are a major contributor to suicide. The prevalence of SA in pregnant and postpartum women varied significantly across studies. Therefore, this meta-analysis was ...conducted to examine the prevalence of SA and its mediating factors in this population.
Methods
Relevant articles published in PubMed, EMBASE, Web of Science, PsycINFO, Medline complete, Chinese National Knowledge Infrastructure database (CNKI), Chinese Wanfang and Chongqing VIP database were systematically searched from inception to March 28, 2019. Titles, abstracts and full texts were reviewed independently by three researchers. Studies were included if they reported data on SA prevalence or provided relevant data that enabled the calculation of SA prevalence. Data were extracted by two researchers and checked by one senior researcher. The random-effects model was used to analyze data by the CMA 2.0 and Stata 12.0, with the high degree of statistical heterogeneity present. The primary outcomes were prevalence of SA with 95% CI during pregnancy and during the first-year postpartum.
Results
Fourteen studies covering 6,406,245 pregnant and postpartum women were included. The pooled prevalence of SA was 680 per 100,000 (95% confidence interval 0.10–4.69%) during pregnancy and 210 per 100,000 (95% confidence interval 0.01–3.21%) during the first-year postpartum. Data source was significantly associated with prevalence of SA in the subgroup analysis (pregnancy,
p
< 0.001; the first-year postpartum,
p
= 0.013).
Conclusion
The prevalence of SA is not high in pregnant and postpartum women. Due to the potential loss of life and negative impact of SA on health outcomes, however, careful screening and effective preventive measures should be implemented for this population.
The impact of the COVID-19 pandemic on clinically stable older patients with psychiatric disorders is unclear. This study examined the prevalence of depressive and anxiety symptoms, and their ...associations with quality of life (QOL) in clinically stable older patients with psychiatric disorders during the COVID-19 pandemic. This was a multicenter, cross-sectional study. Depressive and anxiety symptoms, insomnia, pain, and QOL were assessed with standardized instruments. A total of 1063 patients were included. The prevalence of depressive and anxiety symptoms, and combined depressive and anxiety symptoms were 62.3% (95%CI = 59.4-65.2%), 52.4% (95%CI = 49.3-55.4%), and 45.9% (95%CI = 42.9-48.9%), respectively. Patients with depressive and anxiety symptoms had significantly lower QOL than those without (P < 0.01). Binary logistic regression analyses revealed that having depressive symptoms was positively associated with more severe insomnia (OR = 1.29, P < 0.01) and pain (OR = 1.14, P < 0.01), and was negatively associated with other psychiatric diagnoses (except for major depressive disorder, schizophrenia, and organic mental disorder; OR = 0.50, P < 0.01), while having anxiety symptoms was positively associated with severe physical diseases (OR = 1.57, P = 0.02), poor adherence to treatment (OR = 1.50, P < 0.01), and more severe insomnia (OR = 1.15, P < 0.01) and pain (OR = 1.11, P < 0.01). Having combined depression and anxiety symptoms was positively associated with poor adherence to treatment (OR = 1.42, P = 0.02) and more severe insomnia (OR = 1.19, P < 0.01) and pain (OR = 1.15, P < 0.01), and was negatively associated with the diagnosis of schizophrenia (OR = 0.50, P = 0.04) and others (OR = 0.53, P < 0.01). Depressive and anxiety symptoms were common in clinically stable older patients with psychiatric disorders during the COVID-19 pandemic. Considering the negative impact of these symptoms on QOL, regular screening and appropriate treatment are recommended for this population.
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