Purpose/Significance To use multimodal data analysis method to mine medical Q&A data in online healthcare platforms and predict whether patients will adopt online doctors'responses.Method/Process First,numerical,categorical,textual,and visual data related to doctor-patient Q&A are obtained from online healthcare platforms,and three datasets of acute disease,chronic disease and mixed disease are constructed according to disease types.Then,normalization,one-hot encoding,Med-BERT,and convolutional neural network are used respectively to process numerical,categorical,textual,and visual data.Finally,a gradient boosting decision tree is used to predict whether patients will adopt online doctors'responses.Result/Conclusion Doctors'profile pictures can improve the prediction effect of online doctor response adoption,and multimodal data mining can effectively predict the response adoption.

Objective:To summarize the best evidence for non-pharmacological interventions for patients with perimenopausal sleep disorders and to provide an evidence-based basis for improving sleep disorders and quality of life in perimenopausal women.Methods:All the evidence of sleep disorder in perimenopausal period in databases were searched by the computer in UpToDate, BMJ Best Clinical Practice, Cochrane Library, Joanna Briggs Institute Database, National Guideline Cleaninghouse, National Institute for Health and Clinical Excellence, Scottish Intercollegiate Guidelines Network, Wanfang Database, CNKI, et al. The evidences includes guidelines, expert consensus, evidence summary, systematic evaluation, best practice information book, randomized controlled trial, etc. The search deadline was from database establishment to October 15, 2022. Finally, methodological quality evaluation was conducted on relevant literature to extract and integrate the best evidence.Results:A total of 22 literatures were included, including 6 guidelines, 1 position statement, 4 systematic reviews and 11 randomized controlled trials. A total of 21 pieces of evidence were collected from 5 aspects, including sleep assessment, psychological intervention, physical intervention, traditional Chinese medicine intervention and exercise intervention.Conclusions:Regular evaluation should be conducted on the sleep status of perimenopausal women, and appropriate and feasible individualized intervention measures should be provided based on the actual situation to improve their sleep quality. When applying evidence, it should be combined with the clinical environment to transform it into localized evidence to guide best practice.

Objective:To explore the status quo of self-stigma in diabetic patients and analyze its correlation with self-compassion.Methods:In this cross-sectional study, from December 2020 to January 2021, totally 240 diabetic patients admitted at the Department of Endocrinology in two ClassⅢ Grade A hospitals in Hangzhou, Zhejiang Province were selected by convenient sampling and investigated with the general information questionnaire, Self-Stigma Scale (SSS) , and Self-Compassion Scale (SCS) . Hierarchical regression analysis was used to explore the relationship between self-stigma and self-compassion in diabetic patients. A total of 240 questionnaires were issued, and 225 valid questionnaires were recovered. The effective response rate was 93.75% (225/240) .Results:The total SSS score of the 225 diabetic patients was (56.47±16.72) , and the average score of all items was (2.01±0.60) ; the total SCS score was (86.46±12.79) , and the average score of all items was (3.33±0.49) . Pearson correlation analysis showed that the total SSS score of diabetic patients was negatively correlated with the total SCS score ( P < 0.01) . Hierarchical regression analysis revealed that self-compassion was an influencing factor of self-stigma in diabetic patients ( P< 0.01) , which could independently explain 13.1% of self-stigma (Δ R2=0.131, P<0.001) . Conclusions:Self-stigma of diabetic patients is at a moderate level, and self-compassion is an influencing factor of self-stigma of diabetic patients. Nursing staff can reduce patients ' self-stigma by improving their self-compassion.

The kidney plays a key role in hepatitis B virus (HBV) infection of liver cells. The pathogenesis of HBV-associated glomerulonephritis (HBV-GN) remains unclear, and the mechanism of HBV directly causing the injury of renal tubules has been taken seriously in recent years. HBV can induce the apoptosis of renal tubular cells by regulating cell cycle and activating related signaling pathways including NF-κB and thus lead to the progression of HBV-GN. At present, there are still no drugs targeting the kidney in the treatment of HBV-GN. This article summarizes the research advances in the key factors for HBV infection of cells and the injury of renal tubular cells caused by HBV and elaborates on the possible mechanism of direct infection of renal tubular cells by HBV, so as to provide new ideas for the treatment of HBV-GN.

Objective To understand the ehealth literacy of coronary disease patients and to explore the problems encountered when searching for disease related health task by computer so as to provide a reference for constructing the ehealth literacy intervention for coronary disease patients. Methods From June 2018 to December 2018, this study selected 20 coronary disease inpatients at a class Ⅲ grade A hospital in Hangzhou by purposive sampling to carry out operational experiment. Subjects operated 6 experimental tasks related to coronary network health designed by researchers in computers. In the experiment, subjects were required to use the method of think-aloud. At the same time, screen video experts recorded the screen activity track, image and sound produced when subjects operated tasks to collected subjects' experimental data. Moreover, two researchers recorded the completion, expression and time of subjects when operating 6 tasks. Colaizzi 7-step analysis was used to summary and analyze the experimental data. Results Problems encountered when coronary disease patients searched for disease related health task by computer included four themes, operating computers and browsers, navigation and location on the Web, using search strategy as well as evaluating the information correlation and reliability. Conclusions Health professionals should pay attention to the basic computer skills of patients,health information search strategy and quality evaluation ability of network health information when providing ehealth literacy training for coronary disease patients to improve the ehealth literacy of coronary disease patients.

Patients with severe liver diseases are prone to nosocomial infection due to serious liver dysfunction, low immune function, and reduced stress ability to infection, and such infections further aggravate patients’ conditions and directly affect their clinical outcome. This article reviews the clinical features of nosocomial infection in patients with severe liver diseases and related risk factors.

Objective? To explore the knowledge demand on disaster nursing of nurses so as to provide the countermeasure and suggestions for improving the knowledge on disaster nursing of nurses. Methods? From August to October 2016, a total of 510 nurses at a ClassⅢ Grade A hospital in Hangzhou City were investigated with the Disaster Nursing Training Needs Questionnaire for the nurses. The SPSS 21.0 was used to data analysis. A total of 510 questionnaires were sent out and 479 valid questionnaires were collected with 93.92% for the recovery rate. Results? A total of 479 nurses were with the high demand for the professional knowledge and management knowledge of disaster nursing along with 4 and above for the scores of all terms. In the demand of professional knowledge, the highest demand term was the self-protection knowledge (4.70±0.54). Among 9 training modes with multiple choices by 479 nurses, the highest demand for the training mode was theoretical teaching. Among different training modes, 36.7% to 54.9% of nurses selected theoretical teaching. There were statistical differences in the training contents demands among nurses with different departments (P＜ 0.05). Conclusions? Hospitals should strengthen training for the disaster nursing events capability of nurses. Different disaster nursing knowledge and skills should adopt suitable training modes. Nurses with no rescue experience need to attend more effective organizational management training in the disaster.

This paper summarized the work of nursing acute chest pain pre-examination and triage from the following 4 aspects: the general situation of the work of nursing acute chest pain pre-examination and triage at home and abroad, the factors influencing the decision-making of nurses' chest pain triage, the mode of acute chest pain pre-examination and triage, and the tools of acute chest pain pre-examination and triage, so as to provide reference for improving the quality of nursing pre-examination and triage.

Acute myocardial infarction (AMI) is an acute, dangerous, and serious disease. Scholars at home and abroad are constantly exploring ways to reduce its first-aid time, improve the treatment efficiency and the prognosis. Multidisciplinary collaboration is one of the keys to emergency treatments in AMI, and nurses play an important role in this process. However, no clear criteria for emergency care procedures for AMI have been found at home and abroad. Through comprehensive analysis of related research, this paper attempts to find the shortcomings of emergency care procedures for AMI and propose the direction for its future development. This article reviews the status quo of emergency care procedures for AMI at home and abroad in order to provide reference for nursing staff.