Patients with cardiovascular diseases have poor medication adherence, which seriously affects the prognosis of their diseases. This article reviewed the prediction model of medication compliance for patients with cardiovascular diseases, analyzed its predictive factors, model efficacy and application, and put forward opinions on the construction of relevant prediction models, which could provide reference for the clinical development of targeted intervention programs.

Breast cancer patients experience many symptoms during treatment. In most cases, the symptoms do not appear alone, but several symptoms appear at the same time and form symptoms cluster, which causes severe physical and mental burden on the patient. This paper summarized the study on symptom cluster of breast cancer patients at home and abroad from the perspectives of concept, categories, influencing factors and management, so as to provide basis for future symptom cluster management.

Purpose: This study was to investigate the work experience of newly recruited male nurses during the COVID-19 pandemic. Methods: With a phenomenological approach, this qualitative study was adopted semistructured interviews by phone or video calls. A total of 9 male nurses newly recruited for the COVID-19 wards in Chinese hospitals were interviewed for this study. And Colaizzi's method was applied for evaluation in the data analysis. Results: Based on our findings, three themes were extracted. First, the newly recruited male nurses showed negative emotions at the beginning of COVID-19 epidemic, which was caused by changes in working conditions and content, but also prompted the nurses to change the way of coping with the crisis. Second, they gradually mastered the working skills and psychological training to cope with COVID-19 and developed a positive attitude toward life and a high sense of professional responsibility. Finally, we learned about their needs to respond to public health emergencies such as the COVID-19 pandemic. Conclusion COVID-19 is a disaster for all of humanity. The newly recruited male nurses are an important force in emergency rescue. Although they suffered from short-term negative emotions, they quickly adapted to the crisis. In order to better prepare for future emergencies, the disaster response capacity of newly recruited male nurses needs to be further improved. In addition, newly recruited male nurses have a strong demand for timely and personalized career development guidance.

Purpose: This study was to investigate the work experience of newly recruited male nurses during the COVID-19 pandemic. Methods: With a phenomenological approach, this qualitative study was adopted semistructured interviews by phone or video calls. A total of 9 male nurses newly recruited for the COVID-19 wards in Chinese hospitals were interviewed for this study. And Colaizzi's method was applied for evaluation in the data analysis. Results: Based on our findings, three themes were extracted. First, the newly recruited male nurses showed negative emotions at the beginning of COVID-19 epidemic, which was caused by changes in working conditions and content, but also prompted the nurses to change the way of coping with the crisis. Second, they gradually mastered the working skills and psychological training to cope with COVID-19 and developed a positive attitude toward life and a high sense of professional responsibility. Finally, we learned about their needs to respond to public health emergencies such as the COVID-19 pandemic. Conclusion COVID-19 is a disaster for all of humanity. The newly recruited male nurses are an important force in emergency rescue. Although they suffered from short-term negative emotions, they quickly adapted to the crisis. In order to better prepare for future emergencies, the disaster response capacity of newly recruited male nurses needs to be further improved. In addition, newly recruited male nurses have a strong demand for timely and personalized career development guidance.

Objective:To explore the influencing factors of instrument and equipment alarm fatigue risk of nurses in pediatric intensive care unit (ICU) , establish a prediction model and verify its prediction efficiency.Methods:A multi-stage sampling method was used to select 300 pediatric ICU nurses from 2 tertiary children's specialized hospitals in Henan Province from October 2020 to March 2021 as the research objects for model construction. A total of 300 questionnaires were distributed and 225 valid questionnaires were recovered. From April to May 2021, 110 pediatric ICU nurses in Henan Children's Hospital were selected for model validation, 110 questionnaires were distributed and 100 valid questionnaires were recovered. A self-made baseline rating scale was used to collect relevant baseline information. The medical equipment alarm management questionnaire and the equipment alarm fatigue related scale were used for investigation. The Logistic regression model was used to establish the prediction model, Hosmer-Lemeshow test was used to test the fitting effect of the model and the receiver operating characteristic curve was used to evaluate the prediction value.Results:The 225 pediatric ICU nurses scored (48.67±4.35) for medical equipment alarm management factors, (39.67±3.67) for obstacles to medical equipment alarm management and (22.32±2.83) for clinical alarm fatigue. The results of multivariate analysis showed that the factors of age less than 30 years old, working years less than 5 years, working with illness, nurses with professional titles below, shift work, no habit of setting medical equipment alarms, and medical equipment management factors were all pediatric ICU nurses' equipment alarm fatigue. The independent risk factor of ICU ( P<0.05) . In this study, a prediction model was finally constructed. The area under the receiver operating characteristic curve (AUC) of the model was 0.887, the sensitivity was 0.891 and the specificity was 0.843. The validation data results showed that AUC value of the model was 0.901, the sensitivity was 0.912 and the specificity was 0.857. Conclusions:Pediatric ICU nurses have different degrees of equipment alarm fatigue. This research model can reliably predict the alarm fatigue risk of their equipment and equipment, suggesting that high-risk factors should be paid attention to and timely intervention measures should be carried out to reduce the risk of related adverse events.

Adult ; Bacteriophages ; physiology ; Chronic Periodontitis ; microbiology ; Clustered Regularly Interspaced Short Palindromic Repeats ; genetics ; Female ; Gingiva ; microbiology ; Humans ; Middle Aged ; Oral Health