Fatigue as a Cause of Professional Dissatisfaction Among Chinese Nurses in Intensive Care Unit During COVID-19 Pandemic.

Aim: To clarify the mediating role of burnout and the moderating role of turnover intention in the association between fatigue and job satisfaction among Chinese nurses in intensive care units (ICU) during the COVID-19 pandemic. Methods: A cross-sectional survey of fifteen provinces in China was conducted, using an online questionnaire, from December 2020 to January 2021, during the COVID-19 pandemic. A total of 374 ICU nurses (effective response rate: 71.37%) provided sufficient responses. Sociodemographic factors, job demographic factors, fatigue, burnout, job satisfaction, and turnover intention were assessed using questionnaires. General linear modeling (GLM), hierarchical linear regression (HLR) analysis, and generalized additive modeling (GAM) were performed to examine all the considered research hypotheses. Results: Fatigue was found to be negatively and significantly associated with job satisfaction. Moreover, burnout played a partial mediating role and turnover intention played a moderating role in the relationship between fatigue and job satisfaction. Conclusion: Over time, a state of physical and mental exhaustion and work weariness among Chinese ICU nurses potentially results in job burnout and consequently promotes the level of job dissatisfaction. The results also found that turnover intention played a moderating role in the relationship between burnout and job satisfaction. Specific policies could be considered to eliminate nurses' fatigue and negative attitudes during times of public health emergencies.

Counseling for Health: How Psychological Distance Influences Continuance Intention towards Mobile Medical Consultation.

As mobile healthcare services entered the public sight with high frequency during the COVID-19 pandemic, patients are increasingly recognizing the effectiveness of mobile medical consultation (MMC). Earlier studies have investigated what influences continuance intention (CI) towards MMC, but few studies have scrutinized it from the perspective of patients' psychological distance. We formulated a framework to examine the psychological factors influencing CI towards MMC by integrating the information systems continuance model and psychological distance theory. The framework was validated using the partial least squares structural equation modeling (PLS-SEM) approach and data from 475 MMC users in China. The empirical results revealed that immediacy, telepresence, intimacy, and substitutability were significant predictors of CI, while satisfaction mediated these pathways. Pandemic-induced anxiety positively moderated the effect of immediacy on satisfaction and the effect of satisfaction on CI. Practical implementations for MMC healthcare practitioners, designers, and marketers are drawn.

Willingness to Pay for Mobile Health Live Streaming during the COVID-19 Pandemic: Integrating TPB with Compatibility

The COVID-19 pandemic has forced people to limit their physical interactions, which has led to unprecedented growth in mobile health live streaming (MHLS). Such practices have been facilitated by the rapid development of consumers' willingness to pay for MHLS. However, few efforts appear in the literature to understand this change. This study aims to integrate the theory of planned behavior with compatibility to clarify payment motivations for MHLS during the COVID-19 pandemic in China. Accordingly, the current study used a web-based, self-reported questionnaire to collect data from 506 Chinese consumers. Of the 535 distributed questionnaires, we received 505 valid responses, yielding an effective rate of 94.3%. The valid responses were analyzed using structural equation modeling, and the associated hypotheses were tested using partial least squares regression. The results showed that attitude, self-efficacy, preferred lifestyle, information quality, and interactive immersion (but not subjective norms) significantly predicted consumers' willngness to pay (WTP). In addition, attitude partially mediated the association between preferred lifestyle, information quality, and WTP, respectively, while the mediating role in the relationship between interactive immersion and WTP was not confirmed. These findings can be used to formulate effective marketing strategies to benefit MHLS services and mobile payment technology in the country.

Clinical features and effectiveness of Chinese medicine in patients with COVID-19 from overseas: A retrospective study in Xiamen, China.

COVID-19, referred to as new coronary pneumonia, is an acute infectious disease caused by a new type of coronavirus SARS-CoV-2. To evaluate the effect of integrated Chinese medicine and Western medicine in patients with COVID-19 from overseas. Data were collected from 178 COVID-19 patients overseas at First Affiliated Hospital of Xiamen University from April 1, 2021 to July 31, 2021. These patients received therapy of integrated Chinese medicine and western medicine. Demographic data and clinical characteristics were extracted and analyzed. In addition, the prescription which induced less length of PCR positive days and hospitalization days than the median value was obtained. The top 4 frequently used Chinese medicine and virus-related genes were analyzed by network pharmacology and bioinformatics analysis. According to the chest computed tomography (CT) measurement, abnormal lung findings were observed in 145 subjects. The median length of positive PCR/hospitalization days was 7/7 days for asymptomatic subjects, 14/24 days for mild subjects, 10/15 days for moderate subjects, and 14/20 days for severe subjects. The most frequently used Chinese medicine were Scutellaria baicalensis (Huangqin), Glycyrrhiza uralensis (Gancao), Bupleurum chinense (Chaihu), and Pinellia ternata (Banxia). The putative active ingredients were baicalin, stigmasterol, sigmoidin-B, cubebin, and troxerutin. ACE, SARS-CoV-2 3CL, SARS-CoV-2 Spike, SARS-CoV-2 ORF7a, and caspase-6 showed good binding properties to active ingredients. In conclusion, the clinical results showed that integrated Chinese medicine and Western medicine are effective in treating COVID-19 patients from overseas. Based on the clinical outcomes, the putative ingredients from Chinese medicine and the potential targets of SARS-CoV-2 were provided, which could provide a reference for the clinical application of Chinese medicine in treating COVID-19 worldwide.

Current Status of Intergroup Threats Perceived by Chinese Physicians and Its Association with Organizational Psychology, Behavior, and Well-Being during the COVID-19 Pandemic: A Cross-Sectional Survey.

(1) Background: Chinese physicians have encountered serious physical and verbal attacks in recent decades due to poor patient-physician relationships, leading to a broad spectrum of negative consequences. This study aims to assess the status of intergroup threats perceived by physicians and explore its association with organizational psychology, behavior, and well-being during the COVID-19 pandemic. (2) Methods: We conducted a cross-sectional online survey with physicians from November to December 2020 in three provinces: Heilongjiang Province, Henan Province, and Zhejiang Province, in China. A total of 604 physicians were recruited to complete an anonymous questionnaire. There were 423 valid questionnaires. (3) Results: We developed a 25-item intergroup threat scale with four dimensions: interest damage, performance impairment, value derogation, and unjust sentiment. Internal consistency reliability analyses showed that the four dimensions and overall scale exhibited high internal consistency (0.756-0.947). Additionally, the average scores for physicians' perceived overall intergroup threat, interest damage, performance impairment, value derogation, and unjust sentiment were 4.35 ± 0.51, 4.24 ± 0.73, 4.33 ± 0.58, 4.22 ± 0.65, and 4.53 ± 0.55, respectively. Moreover, this study shows that the intergroup threats perceived positively by physicians were associated with psychological stress (ß = 0.270, p < 0.01), emotional exhaustion (ß = 0.351, p < 0.01), turnover intention (ß = 0.268, p < 0.01), and defensive medical behavior (ß = 0.224, p < 0.01), and were negatively associated with job satisfaction (ß = -0.194, p < 0.01) and subjective well-being (ß = -0.245, p < 0.01). (4) Conclusions: The newly developed scale in this study is a reliable tool for measuring intergroup threats perceived by Chinese physicians. Physicians in China were suffering high-level intergroup threats during the anti-COVID-19 pandemic, which has a significant impact on damage to organizational psychology, behavior, and well-being. Intergroup threats perceived by physicians not only enlarged the risk of emotional exhaustion and psychological stress but also threatened organizational well-being. Moreover, greater intergroup threats were associated with a lower job satisfaction, more frequent defensive medical behavior, and a higher turnover intention for physicians. The results of this study suggest that essential intervention and governance measures should be considered to protect physicians' well-being and benefits in China, which are urgently needed.

Can resilience promote calling among Chinese nurses in intensive care units during the COVID-19 pandemic? The mediating role of thriving at work and moderating role of ethical leadership

Background Nurses working in the intensive care unit (ICU) clung tenaciously to their job during the COVID-19 pandemic in spite of enduring stressed psychological and physical effects as a result of providing nursing care for the infected patients, which indicates that they possessed a high degree of professionalism and career calling. The aim of this study was to explain the associations between resilience, thriving at work, and ethical leadership influencing the calling of ICU nurses. Methods From December 2020 to January 2021 during the COVID-19 pandemic, a cross-sectional survey of 15 provinces in China was conducted using an online questionnaire. A total of 340 ICU nurses (effective response rate: 64.89%) completed sufficient responses to be used in the study. Sociodemographic factors, job demographic factors, resilience, calling, thriving at work, and ethical leadership were assessed using the questionnaire. General linear modeling (GLM), hierarchical linear regression (HLR) analysis, and generalized additive model (GAM) were performed to examine all the considered research hypotheses. Results Resilience was positively and significantly associated with calling. Moreover, thriving at work partially mediated the relationship between resilience and calling. The indirect effect of resilience on calling was 0.204 (p < 0.0001), and the direct effect of resilience on calling through thriving at work was 0.215 (p < 0.0001). The total effect of resilience on calling was 0.419 (p < 0.0001). In addition, ethical leadership played a moderating role in the relationship between resilience and calling (β = 0.16, p < 0.05). Conclusion Greater resilience can positively predict increased calling among Chinese ICU nurses during the COVID-19 pandemic. Moreover, thriving at work is a mechanism that partly transmits the positive effects of resilience on calling. Overall, nurses possessing greater resilience tend to maintain thriving at work in the face of such adversity, further resulting in subsequently increased calling. Besides, findings suggest that there is stronger influence of resilience on calling among nurses working in an organization managed by an ethical leader. The current findings may offer two insights for nursing practitioners and policymakers in the postpandemic world. First, resilience training and intervention are necessary to foster nurses' sense of thriving at work in the nursing industry, further promoting career calling. Second, better training and effort on the development of ethical leadership for leaders in nursing practice are essential to encourage followers to engage in social learning of ethical behaviors and abiding by normatively appropriate conduct, further enacting prosocial values and expressing moral emotions.

[Medication law and mechanism of traditional Chinese medicine in prevention and treatment of epidemic diseases: based on traditional Chinese medicine theory of cold pestilence].

Epidemic diseases have caused huge harm to the society. Traditional Chinese medicine(TCM) has made great contributions to the prevention and treatment of them. It is of great reference value for fighting diseases and developing drugs to explore the medication law and mechanism of TCM under TCM theory. In this study, the relationship between the TCM theory of cold pestilence and modern epidemic diseases was investigated. Particularly, the the relationship of coronavirus disease 2019(COVID-19), severe acute respiratory syndrome(SARS), and influenza A(H1 N1) with the cold pestilence was identified and analyzed. The roles of TCM theory of cold pestilence in preventing and treating modern epidemic diseases were discussed. Then, through data mining and textual research, prescriptions for the treatment of cold pestilence were collected from major databases and relevant ancient books, and their medication laws were examined through analysis of high-frequency medicinals and medicinal pairs, association rules analysis, and cluster analysis. For example, the prescriptions with high confidence levels were identified: "Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Paeoniae Radix Alba" "Glycyrrhizae Radix et Rhizoma-Pinelliae Rhizoma-Bupleuri Radix", and TCM treatment methods with them were analyzed by clustering analysis to yield the medicinal combinations: "Zingiberis Rhizoma-Aconiti Lateralis Radix Praeparata-Ginseng Radix et Rhizoma" "Poria-Atractylodis Macrocephalae Rhizoma" "Cinnamomi Ramulus-Asari Radix et Rhizoma" "Citri Reticulatae Pericarpium-Perillae Folium" "Pinelliae Rhizoma-Magnoliae Officinalis Cortex-Atractylodis Rhizoma" "Paeoniae Radix Alba-Angelicae Sinensis Radix-Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Scutellariae Radix-Rhizoma Zingiberis Recens" "Ephedrae Herba-Armeniacae Semen Amarum-Gypsum Fibrosum" "Chuanxiong Rhizoma-Notopterygii Rhizoma et Radix-Angelicae Dahuricae Radix-Platycodonis Radix-Saposhnikoviae Radix". Then, according to the medication law for cold pestilence, the antiviral active components of medium-frequency and high-frequency medicinals were retrieved. It was found that these components exerted the antiviral effect by inhibiting virus replication, regulating virus proteins and antiviral signals, and suppressing protease activity. Based on network pharmacology, the mechanisms of the medicinals against severe acute respiratory syndrome coronavirus(SARS-CoV), 2019 novel coronavirus(2019-nCoV), and H1 N1 virus were explored. It was determined that the key targets were tumor necrosis factor(TNF), endothelial growth factor A(VEGFA), serum creatinine(SRC), epidermal growth factor receptor(EGFR), matrix metalloproteinase 9(MMP9), mitogen-activated protein kinase 14(MAPK14), and prostaglandin-endoperoxide synthase 2(PTGS2), which were involved the mitogen-activated protein kinase(MAPK) pathway, advanced glycation end-products(AGE)-receptor for AGE(RAGE) pathway, COVID-19 pathway, and mTOR pathway. This paper elucidated the medication law and mechanism of TCM for the prevention and treatment of epidemic diseases under the guidance of TCM theory of cold pestilence, in order to build a bridge between the theory and modern epidemic diseases and provide reference TCM methods for the prevention and treatment of modern epidemic diseases and ideas for the application of data mining to TCM treatment of modern diseases.

Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study.

BACKGROUND: The initial symptoms of patients with COVID-19 are very much like those of patients with community-acquired pneumonia (CAP); it is difficult to distinguish COVID-19 from CAP with clinical symptoms and imaging examination. OBJECTIVE: The objective of our study was to construct an effective model for the early identification of COVID-19 that would also distinguish it from CAP. METHODS: The clinical laboratory indicators (CLIs) of 61 COVID-19 patients and 60 CAP patients were analyzed retrospectively. Random combinations of various CLIs (ie, CLI combinations) were utilized to establish COVID-19 versus CAP classifiers with machine learning algorithms, including random forest classifier (RFC), logistic regression classifier, and gradient boosting classifier (GBC). The performance of the classifiers was assessed by calculating the area under the receiver operating characteristic curve (AUROC) and recall rate in COVID-19 prediction using the test data set. RESULTS: The classifiers that were constructed with three algorithms from 43 CLI combinations showed high performance (recall rate >0.9 and AUROC >0.85) in COVID-19 prediction for the test data set. Among the high-performance classifiers, several CLIs showed a high usage rate; these included procalcitonin (PCT), mean corpuscular hemoglobin concentration (MCHC), uric acid, albumin, albumin to globulin ratio (AGR), neutrophil count, red blood cell (RBC) count, monocyte count, basophil count, and white blood cell (WBC) count. They also had high feature importance except for basophil count. The feature combination (FC) of PCT, AGR, uric acid, WBC count, neutrophil count, basophil count, RBC count, and MCHC was the representative one among the nine FCs used to construct the classifiers with an AUROC equal to 1.0 when using the RFC or GBC algorithms. Replacing any CLI in these FCs would lead to a significant reduction in the performance of the classifiers that were built with them. CONCLUSIONS: The classifiers constructed with only a few specific CLIs could efficiently distinguish COVID-19 from CAP, which could help clinicians perform early isolation and centralized management of COVID-19 patients.

Comparative Performance of Four Nucleic Acid Amplification Tests for SARS-CoV-2 Virus.

BACKGROUND: COVID-19 is caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), which was discovered in 2019 and spread around the world in a short time. SARS-CoV-2 nucleic acid amplification tests (NAATs) have been rapidly developed and quickly applied to clinical testing of COVID-19. Aim of this study was to evaluate the performance of four NAAT assays. METHODS: Limit of detection (LOD), precision, accuracy, analytical specificity and analytical interference studies on four NAATs (Daan, Sansure, Hybribio, and Bioperfectus) were performed according to Clinical Laboratory Standards Institute protocols and guidelines. The four NAATs were compared using 46 clinical samples. RESULTS: The LOD of the N gene for Daan, Sansure, and Hybribio was 500 copies/mL, and that for Bioperfectus was 1,000 copies/mL. The LOD of the ORF1ab gene for Daan, Bioperfectus, and Hybribio was 3,000 copies/mL, and that for Sansure was 2,000 copies/mL. A good precision was shown at the concentration above 20% of the LOD for all four NAATs, with all individual coefficients of variation below 3.6%. Satisfactory results were also observed in the accuracy, analytical specificity, and analytical interference tests. The results of the comparison test showed that Daan, Sansure, and Hybribio NAATs could detect the samples with a specificity of 100% (30/30) and a sensitivity of 100% (16/16), whereas Bioperfectus NAAT detected the samples with a specificity of 100% (30/30) and a sensitivity of 81.25% (13/16). However, no significant difference in sensitivity was found between Bioperfectus NAAT and the three other NAATs (p > 0.05). CONCLUSIONS: The four SARS-CoV-2 NAATs showed comparable performance, with the LOD of the N gene lower than the LOD of the ORF1ab gene.

Clinical relevance of serum α-l-fucosidase activity in the SARS-CoV-2 infection.

BACKGROUND AND AIMS: The reduced fucosylation in the spike glycoprotein of SARS-CoV-2 and the IgG antibody has been observed in COVID-19. However, the clinical relevance of α-l-fucosidase, the enzyme for defucosylation has not been discovered. MATERIALS AND METHODS: 585 COVID-19 patients were included to analyze the correlations of α-l-fucosidase activity with the nucleic acid test, IgM/IgG, comorbidities, and disease progression. RESULTS: Among the COVID-19 patients, 5.75% were double-negative for nucleic acid and antibodies. All of them had increased α-l-fucosidase, while only one had abnormal serum amyloid A (SAA) and C-reactive protein (CRP). The abnormal rate of α-l-fucosidase was 81.82% before the presence of IgM, 100% in the presence of IgM, and 66.2% in the presence of IgG. 73.42% of patients with glucometabolic disorders had increased α-l-fucosidase activity and had the highest mortality of 6.33%. The increased α-l-fucosidase was observed in 55.8% of non-severe cases and 72.9% of severe cases, with an odds ratio of 2.118. The α-l-fucosidase mRNA was irrelevant to its serum activity. CONCLUSION: The change in α-l-fucosidase activity in COVID-19 preceded the IgM and SAA and showed a preferable relation with glucometabolic disorders, which may be conducive to virus invasion or invoke an immune response against SARS-CoV-2.

Differential diagnosis and prospective grading of COVID-19 at the early stage with simple hematological and biochemical variables.

We evaluated simple laboratory variables to discriminate COVID-19 from bacterial pneumonia or influenza and for the prospective grading of COVID-19. Multivariate logistic regression and receiver operating characteristic curve were used to estimate the diagnostic performance of the significant discriminating variables. A comparative analysis was performed with different severity. The leukocytosis (P = 0.017) and eosinopenia (P = 0.001) were discriminating variables between COVID-19 and bacterial pneumonia with area under the curve (AUC) of 0.778 and 0.825. Monocytosis (P = 0.003), the decreased lymphocyte-to-monocyte ratio (P < 0.001), and the increased neutrophil-to-lymphocyte ratio (NLR) (P = 0.028) were predictive of influenza with AUC of 0.723, 0.895, and 0.783, respectively. Serum amyloid protein, lactate dehydrogenase, CD3+ cells, and the fibrinogen degradation products had a good correlation with the severity of COVID-19 graded by age (≥50) and NLR (≥3.13). Simple laboratory variables are helpful for rapid diagnosis on admission and hierarchical management of COVID-19 patients.

42 cases of coronavirus disease 2019 of the ordinary type with the adjuvant treatment of heat-sensitive moxibustion 42.

OBJECTIVE: To observe the clinical therapeutic effect of adjuvant treatment with heat-sensitive moxibustion for coronavirus disease 2019 (COVID-19) of the ordinary type. METHODS: A total of 42 patients with COVID-19 of the ordinary type were adopted. Shénquè ( CV8) and Tianshu ( ST25) were selected. Heat-sensitive moxibustion was operated according to the required standard, 40 min to 60 min each time, once daily. Before and after moxibustion, the improvements in clinical symptoms were evaluated, such as chest oppression, poor appetite, lassitude and negative emotions. RESULTS: (1) The number of cases and the incidence was 21 cases (50.0%), 24 cases (57.1%) and 26 cases (61.9%) for chest oppression, poor appetite and lassitude before heat-sensitive moxibustion. The number of cases was reduced to be 10 cases (23.8%), 7 cases (16.7%) and 4 cases (9.5%) after the 1st treatment of heat-sensitive moxibustion for chest oppression, poor appetite, and lassitude. It was reduced to be 11 cases (26.2%), 8 cases (19.0%) and 4 cases (9.5%) after the 2nd treatment of moxibustion and it was reduced to be 18 cases (42.9%), 10 cases (23.8%) and 6 cases (14.3%) after the 3rd treatment of moxibustion. The incidences of the symptoms were all reduced obviously as compared with those before treatment. (2) Before treatment with heat-sensitive moxibustion, there were 24 cases of negative emotions (57.1%). It was reduced to be 16 cases (38.1%), 11 cases (26.2%) and 3 cases (7.1%) after the 1st, 2nd and 3rd treatment of heat-sensitive moxibustion successively. The incidences were all reduced obviously as compared with those before treatment. (3) After the 1st treatment, the active acceptance rate of heat-sensitive moxibustion was 100% (42/42) in the patients, higher than 11.9% (5/42) before treatment. CONCLUSION: Adjuvant treatment with heat-sensitive moxibustion effectively relieves the symptoms of COVID-19 such as chest oppression, poor appetite and lassitude, and alleviates the negative emotions, such as tension and anxiety. This therapy improves the therapeutic effect of COVID-19 and deserves to be promoted in clinical practice.

[Clinical observation of heat-sensitive moxibustion treatment for coronavirus disease 2019].

OBJECTIVE: To observe clinical effect of heat-sensitive moxibustion on coronavirus disease 2019 (COVID-19) and to discusses the effective moxibustion treatment program. METHODS: A total of 42 patients with COVID-19 (general type) were treated with heat-sensitive moxibustion at the acupoint area of Shenque (CV 8) and Tianshu (ST 25). The treatment was conducted under the standards of heat-sensitive moxibustion manipulation, which were "locating acupoint by feeling, moxibustion by differentiate sensation, dosage varies individually, ending after sufficient dosage". The incidence of deqi after first heat-sensitive moxibustion, the reduction of negative emotions, the improvement of chest distress and impaired appetite, and the active acceptance rate of moxibustion before and after treatment were observed. RESULTS: ① The deqi rate of heat-sensitive moxibustion for 20 min、40 min、1 h were respectively 52.4% (22/42), 90.5% (38/42), 100.0% (42/42). ② The incidences of feeling relaxed and comfortable immediately after the first, second, and third heat-sensitive moxibustion were 61.9% (26/42), 73.8% (31/42), and 92.9% (39/42), which were higher than 42.9% (18/42) before heat-sensitive moxibustion treatment (P<0.05). ③ The incidences of chest distress after the first, second, and third heat-sensitive moxibustion were 23.8% (10/42), 16.7% (7/42), and 9.5% (4/42), which were lower than 50.0% (21/42) before heat-sensitive moxibustion treatment (P<0.05); the incidences of impaired appetite after the first, second, and third heat-sensitive moxibustion were 26.2% (11/42), 19.0% (8/42), 9.5% (4/42), which were lower than 57.1% (24/42) before heat-sensitive moxibustion treatment (P<0.05). ④ After the first treatment, the active acceptance rate of patients for heat-sensitive moxibustion was 100.0% (42/42), which was higher than 11.9% (5/42) before heat-sensitive moxibustion (P<0.05). CONCLUSION: The heat-sensitive moxibustion can effectively reduce the negative emotions and improve the symptoms of chest distress and impaired appetite with COVID-19. It is generally accepted by patients, and worthy of popularization and application in clinical treatment.