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Background Nursing staff are often exposed to a variety of occupational risk factors in the working environment, such as long working hours and heavy workload, which associated with adverse mental health outcomes. And these factors may not be randomly distributed across different levels. Objective To explore mental health risk factors of nursing staff by multilevel analysis. Methods A cross-sectional survey of nursing staff in Shanghai Municipality, Zhejiang Province, Guangxi Zhuang Autonomous Region, and Xinjiang Uygur Autonomous Region was conducted through convenience sampling from 2018 to 2021. Data were collected by self-report questionnaires. The mental component summaries of 12-Iitem Short Form Health Survey were used to evaluate the mental health status of nursing staff, and related factors were collected atindividual level, including gender, body mass index (BMI), smoking status, drinking status, working years, pain intensity of musculoskeletal disorders, and working hours per week, and at regional level, including gross domestic product (GDP) level of each province. A two-level model was established by incorporating both individual and regional factors, and deviance was used to test the goodness of fit of the model. A traditional generalized linear model was also established, and then compared with the multilevel model. Results A total of 567 nurses participated in this study, and the valid rate of questionnaire was 80.08%. The results of the multilevel model showed that the regional factor contributed 12.1% to the mental component summaries. As to the regional factor, GDP was negatively correlated with mental health of nursing staff, the adjusted OR (AOR) was −0.53 (95%CI: −0.66-−0.28). Among the factors at individual level, the mental component summaries of females were lower than those of males (AOR=−3.25, 95%CI: −4.73-−0.35); the longer the working years, the higher the mental health score (AOR=0.11, 95%CI: 0.06-0.20); working hours per week (AOR=−0.10, 95%CI: −0.14-−0.03) and pain intensity of musculoskeletal disorders (AOR=−0.05, 95%CI: −0.06-−0.03) were negatively correlated with mental component summaries. The results of the generalized linear model included the same factors as the multilevel model, but the 95%CIs of AOR of the factors in the multilevel model were narrower, and the deviation value of the multilevel model was the smallest, indicating that the goodness of fit of the multilevel model was better than that of the traditional linear model. Conclusion The mental health of nursing staff is not only affected by individual level factors, but also affected by regional level factors. It suggests that combining different levels of intervention measures can upscale the effect of improving mental health in nursing staff.
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AIM: In order to bridge the gap between pharmacogenomic research and its clinical application, we propose the concept of genetic electronic identity, named "GeneFace", and developed an electronic information system which integrated "drug-gene" interactions and recommendations for personalized medicine. METHODS: Based on the self-developed Precision Medicine knowledgebase, which concludes drug directions, guidelines or important literatures with high level of evidence, we developed GeneFace with Java-based open-resource application framework Spring Boot, further developed a mobile App with cross-platform framework Uni-APP. RESULTS: The App includes six modules: genetic testing appointment, genetic knowledge introduction, individualized medication advice, medication records, Geneface interpretation, and Precision Medicine knowledgebase. By detecting the genotype of more than 300 gene loci upon first use, users import the results to form a personal "drug-gene identity card". Then scan or enter the drug name in "GeneFace", the App would automatically give corresponding medication recommendations, including: risks for possible adverse drug reactions, risks for reducing the efficacy or even ineffectiveness, and possibility for dose adjustment, etc., which increase the safety of clinical drug use. People can obtain pharmacogenomics knowledge and basic drug information in the "GeneFace" app. CONCLUSION: Development as a digital therapeutic product, the expanded application of GeneFace can rapidly promote clinical applications of basic pharmacogenomics research and significantly improve drug use safety, which creating a new model for accelerating the clinical application of personalized medicine.
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Objective:To evaluate the clinical effectiveness and safety of Jiuwei-Zhuhuang San plus amoxilcillin sodium and sulbactam sodium in the treatment of bacterial pneumonia in children. Methods:A total of 120 patients with bacterial pneumonia in children from 1 year to 14 years old were randomly divided into the study group ( n=90) and the control group ( n=30) with ratio 3 to 1, the random sequence created by SAS software. Both groups were treated with amoxilcillin sodium for basic treatment, the observation group was treated with Jiuwei-Zhuhuang San. Both groups were treated for 1 week and followed up for 1 week. The cough frequency, clinical effective rate, symptoms and signs score, Traditonal Chinese medicine (TCM) pattern scores and adverse event rate were observed. Results:Eighteen cases were dropped and eliminated in the observation group, and 4 cases were dropped and eliminated in the control group, so 72 of observation group and 26 of control group were analyzed. After treatment, the clinical effective rate of the observation group was 27.8% (20/72), and the control group was 0% (0/26), where the difference was significant ( χ2=7.445, P=0.006). The difference of TCM syndrome score before and after treatment in the observation group (-16.8 ± 8.2 vs. -11.0 ± 5.8, t=-3.858) was lower than that of the control group ( P<0.01). There was significant difference between the two groups ( Z=-2.347, P= 0.019) in the TCM syndrome. The cough frequency of the observation group was 41.7% (30/72), and the control group was 26.9% (7/26). There wasn’t any significant differences in the cough frequency between two groups ( P>0.05). There was no statistical difference in symptoms and signs score or adverse event rate between two groups ( P>0.05). Conclusion:On the basis of amoxicillin sodium and sulbactam sodium, combined use of Jiuwei-Zhuhuang San can improve the clinical effectiveness of children with bacterial pneumonia.
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Objective:To test whether the fear-avoidance beliefs (FAB) of nursing staff in a hospital in Shanghai have a mediating effect between neck pain and quality of life.Methods:The cross-sectional survey method was used to obtain the general information, neck pain, FAB and quality of life scores of the subjects. The mediating effect analysis was used to verify potential mediating effect of FAB on neck pain and quality of life.Results:A total of 103 valid questionnaires were collected, 60 (58.25%,60/103) in the neck pain group and 43 (41.75%, 43/103) in the pain-free group. The independent sample T test found that the FABQ score was higher in the pain group than in the pain-free group ( P<0.05). The quality of life score was lower in the pain-free group, and the between-group difference of physical component summary (PCS) was statistically significant ( P < 0.05). The results of pearson correlation analysis showed a negative correlation between FABQ and quality of life scores ( rFABQ1-PCS=-0.32, rFABQ2-PCS=-0.34, rFABQ1-MCS=-0.20, rFABQ2-MCS=-0.32, P<0.05). Both Physical Activity Fear Avoidance Belief (FABQ-1) and Work Fear Avoidance Belief (FABQ-2) have a complete mediating effect between neck pain and PCS. The mediating effect magnitude of FABQ-1 was 0.575, and the mediating effect of FABQ-2 was 0.552. The mediating effect magnitude of FABQ-1 was enlarged and FABQ-2 was reduced after adding age as a covariate in the mediating effect analysis. The mediating effect of FABQ-1 was 0.601, and the mediating effect magnitude of FABQ-2 was 0.501. Conclusion:The fear avoidance belief of nursing staff in a hospital in Shanghai presents a complete mediating effect between neck pain and quality of life, and the mediating effect of Physical Activity Fear Avoidance Belief is stronger with age but the mediating effect of Work Fear Avoidance Belief is weaker.
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Objective To evaluate the diagnostic efficacy of Kwak and ACR( 2017 ) thyroid imaging reporting and data systems ( T I‐RADS ) for thyroid nodules . Methods Cases of thyroid nodule who underwent surgery from January 2015 to M arch 2018 in 15 hospitals in Sichuan province were collected and the ultrasonographic features of thyroid nodules were retrospectively analyzed by trained senior ultrasound physicians using Kwak and ACR T I‐RADS classification methods . Totally ,12 712 thyroid nodules were observed ,7 023 thyroid nodules in 7 023 cases with complete ultrasound and surgical and pathological data were eventually enrolled in the study . T hyroid nodules with solid ,hypoechoic or very hypoechoic ,tall/wide ratio ≥ 1 , margin ill‐defined and microcalcification were classified as malignant signs of ultrasound . M alignant percentage was calculated and diagnostic tests were performed . Results ① T here was a statistical difference between the benign and malignant nodules in the two types of T I‐RADS classification ( P＜0 .01) . ② T he area under ROC curve of Kwak and ACR in the diagnosis of malignant nodules were 0 .89 and 0 .84 ,respectively . T he Youden index of Kwak and ACR were 0 .66 and 0 .57 ,respectively . ③Taking Kwak T I4B and ACR T R4 as critical points for malignancy ,the sensitivity ,specificity ,positive predictive value and negative predictive value of Kwak T I 4B were 75 .0% ,90 .9% ,83 .2% ,and 85 .9% , respectively . T he accuracy of Kwak T I4B was 84 .9% ; T he sensitivity ,specificity ,positive predictive value and negative predictive value of ACR T R4 were 88 .2% ,68 .9% ,62 .9% ,and 90 .8% ,respectively . T he accuracy of ACR T R4 was 76 .2% . T he Kappa value of Kwak TI4B and ACR T R4 was 0 .52 . T he χ2 value of Kwak T I4B and ACR T R4 was 2 174 .6 ( P ＜ 0 .01 ) . Conclusions T he diagnostic values of two T I‐RADS classification methods for thyroid malignant nodules are high . T he overall efficiency of Kwak T I‐RADS classification method is better than that of ACR TI‐RADS classification method .