BACKGROUND: The coronavirus disease (COVID-19) pandemic has accentuated the need for effective clinical skills training in infectious diseases. This study aimed to explore the influencing factors of infectious disease clinical skills training based on scenario simulation teaching for medical staff in China.
METHODS: This hospital-based, cross-sectional study was conducted at the Third People\'s Hospital of Shenzhen between March and December 2022. Scenario simulation teaching was applied, and factors such as gender, educational level, professional background, and previous experience were examined to determine their impact on qualification outcomes.
RESULTS: The study included participants primarily between the ages of 20-40 years, with a higher proportion of women holding university degrees. Nurses and physicians were more likely to qualify, indicating the significance of professional backgrounds. Women showed a higher likelihood of qualifying than men and higher educational attainment correlated with better qualification rates. Prior experience with protective clothing in isolation wards was a significant determinant of successful qualification. Multivariate analysis underscored the influence of sex, education, and previous experience on training effectiveness.
CONCLUSIONS: Scenario simulation is an effective strategy for training clinical skills in treating infectious diseases. This study highlights the importance of considering sex, education, professional background, and prior experience when designing training programs to enhance the efficacy and relevance of infectious disease training.

OBJECTIVE: This study aims to explore the effect of noise in the emergency department on the occupational burnout and the resignation intentions of medical staff.
METHODS: This retrospective study selected 42 medical staff (group A) in the emergency department of our hospital from March 2020 to March 2021 and 39 medical staff (group B) in the rehabilitation department during the same period as research subjects. Noise levels in the daily working environment of medical staff were collected. The Maslach Burnout Inventory General Survey and Intent to Leave Scale was used to evaluate occupational burnout and resignation intention. A multivariate linear regression analysis was adopted to explore the effects of noise exposure level in the emergency department on occupational burnout and resignation intention.
RESULTS: The scores of emotional fatigue, work apathy and sense of achievement in group A were higher than those in group B (P < 0.05), among which reverse scoring was adopted for sense of accomplishment. Group A had significantly higher scores of resignation intention I, resignation intention II and resignation intention III than group B (P < 0.001). The department of group A had significantly higher noise level than that of group B (P < 0.001). The Multivariate linear regression analysis showed that noise level in the emergency department was correlated with the occupational burnout and resignation intention of medical staff (all P < 0.05).
CONCLUSIONS: The emergency department is exposed to a high noise level, which is correlated with the occupational burnout and resignation intentions of medical staff. Therefore, hospitals should give importance to noise exposure in the emergency departments and adopt positive coping strategies to reduce the effect of noise on medical staff and the resignation rate.

Quality improvement is an international priority, and quality education and training are important parts of hospital quality management. The aim of this study was to understand the knowledge, attitudes and practices (KAP) and its influencing factors related to quality training in medical staff. A questionnaire survey was conducted by convenience sampling to assess the KAP of quality training in Taizhou Enze Medical Center. Principal component analysis was used to extract factors from the questionnaire. Descriptive statistics (frequency, median, mean), Kendall grade correlation analysis, and Mann-Whitney U tests were used to analyze the data. A total of 205 staff members participated in the questionnaire survey. For the 5 factors of the KAP scale, the highest score was factor F4, recognition and support for quality training (mean = 90.55, median = 100), followed by factor F3, perceived benefits (mean = 84.46, median = 85.65). Relatively lower scores were found for factor F2, quality knowledge learning and mastery (mean = 63.09, median = 63.89), and F5, quality management practices and sharing (mean = 82.07, median = 75.00). There was a correlation between the 5 factors. The scores of F2 (quality knowledge learning and mastery) for staff with senior professional titles were higher than those for staff with intermediate professional titles or below. The score of F3 (perceived benefits of quality training) in medical technicians and nurses was higher than in doctors and administrative personnel. Our findings showed that the respondents\' attitude toward quality training was positive, but their knowledge mastery and practice behaviors should be further improved. Occupational category and professional title were the influencing factors of the quality training KAP. Therefore, hospital should conduct quality management training at a wider scope according to the competency requirements of different groups, and further optimize the improvement and innovation system.

This study explored the factors and influence degree of job satisfaction among medical staff in Chinese public hospitals by constructing the optimal discriminant model.
The participant sample is based on the service volume of 12,405 officially appointed medical staff from different departments of 16 public hospitals for three consecutive years from 2017 to 2019. All medical staff (doctors, nurses, administrative personnel) invited to participate in the survey for the current year will no longer repeat their participation. The importance of all associated factors and the optimal evaluation model has been calculated.
The overall job satisfaction of medical staff is 25.62%. The most important factors affecting medical staff satisfaction are: Value staff opinions (Q10), Get recognition for your work (Q11), Democracy (Q9), and Performance Evaluation Satisfaction (Q5). The random forest model is the best evaluation model for medical staff satisfaction, and its prediction accuracy is higher than other similar models.
The improvement of medical staff job satisfaction is significantly related to the improvement of democracy, recognition of work, and increased employee performance. It has shown that improving these five key variables can maximize the job satisfaction and motivation of medical staff. The random forest model can maximize the accuracy and effectiveness of similar research.

Continuing medical education plays a pivotal role in fostering and upholding the standard of excellence in medicine. Both SPOC (small private online course) and BOPPPS (bridge-in, learning objective, pretest, participatory learning, posttest, and summary) methodologies are rooted in the same educational and learning theories, emphasizing active student engagement, interaction, and feedback. Using ultrasound-guided spinal anesthesia as an exemplar, we aimed to investigate the feasibility of blended teaching (combination of BOPPPS and SPOC) for anesthesiology clinicians and explore trainees\' and trainers\' perspectives towards the innovative method. Twenty-seven attending anesthesiologists were randomly divided into experimental group (n = 14, blended teaching method) and control group (n = 13, traditional teaching method). The questionnaire was administered before and a week post-training. Their operative skills (measured by operation time) were assessed. The students\' cognitive evaluation of the blended teaching mode was conducted in the experimental group. The experimental group demonstrated notably higher theoretical scores compared to the control group [(46.42 ± 5.345) vs (41.92 ± 5.219), t = 2.213, P < .05]. The operation time in the experimental group was significantly shorter than that in the control group [(84.79 ± 28.450) seconds vs (114.23 ± 35.607) seconds, t = -2.383, P < .05]. Most participants preferred blended learning as it was more effective than traditional learning. Suggestions for enhancement included enhanced online interactivity with trainers and the inclusion of case analysis. Integration of blended teaching incorporating BOPPPS and SPOC methodologies holds promise for enhancing the efficiency of skill training among anesthesiologists. Blended learning may become a viable and well-received option among anesthesia clinicians in China.

BACKGROUND: Psychological stress and anxiety have seriously affected the ability of new clinicians to adapt and coordinate their clinical work. Traditional pre-job training is often not very good at assisting new recruits to regulate their emotional problems.
METHODS: This study is a randomized controlled study. A total of 435 newly recruited clinicians participated in the study. 428 clinicians were randomized into a control group (n = 214) and an intervention group (n = 214). The control group conducted regular pre-job training. Doctors of the intervention group attend a themed course every two weeks on the basis of regular induction training. Their physiological status was evaluated by Perceived Stress Scale (PPS-10), Generalized Anxiety Scale (GAD-7) and Psychological Resilience Scale (CD-RISC-10) 3 months later. Participants in the intervention group received a training satisfaction questionnaire.
RESULTS: After entering the clinic for 3 months, the PSS-10 and GAD-7 scores of the intervention group were significantly lower than that of the control group. Consistently, the CD-RISC-10 score of new clinicians who received proof-of-concept pre-job training was significantly higher than that of new doctors in the control group.
CONCLUSIONS: New doctors received the proof-of-concept group experienced alleviation in stress and anxiety.

Physical and mental health problems had been identified as the negative outcomes of workplace violence (WPV) against medical staff. Considering the proven associations between physical and mental health and suicidal ideation, it is reasonable to assume that WPV may associate with suicidal ideation. However, few studies were conducted to explore the relationship between WPV and their suicidal ideation against medical staff. Based on a cross-sectional design, 3, 426 medical staff working in general hospitals were interviewed in Shandong Province, China. Socio-demographic characteristics, work-related factors, psychological variables, WPV, and suicidal ideation were evaluated. Propensity score matching (PSM) was performed to explore the association between WPV and suicidal ideation. The prevalence of suicidal ideation among medical staff was 9.1% (312/3426), and 52.2% (1788/3426) of medical staff reported the WPV experience. Before PSM, we found that the association between WPV and suicidal ideation was statistically significant (aOR = 1.606, p < 0.01). After PSM, there was a statistically significant correlation between WPV and suicidal ideation (aOR = 1.525, p < 0.01). This study supported the correlations between WPV against medical staff and their suicidal ideation. The results of PSM further implied that WPV might cause suicidal ideation among medical staff. Psychological health, especially for suicidal ideation, should be paid attention for medical staff with WPV experiences.

The purpose of this study was to provide a comprehensive understanding of the attitudes and experiences of the medical staff regarding the hospital bed-sharing model.
The present research was a qualitative study.
This qualitative study used in-depth individual interviews with 7 doctors, 10 clinical nurses and 3 head nurses, which were then transcribed and analysed thematically.
The study identified six overall themes. Issues were raised about the efficient utilization of hospital bed resources, greater challenges for nursing work, adjustment of doctors\' work modes, barriers to communication between doctors, nurses, and patients, potential medical risks, and differentiation of patients\' medical experience.
Hospital administrators and nurse managers should work together to solve the challenges that medical staff face, including strengthening nursing training, improving medical-nursing collaboration models, standardizing and effective communication strategies, and improving patient experiences.

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The detection and characterization of lymph nodes through interpreting abdominal medical images are significant for diagnosing and treating colorectal cancer recurrence. However, interpreting abdominal medical images manually is labor-intensive and time-consuming. The related radiology education has many limitations as well. In this context, we seek to build an extensive collection of abdominal medical images with ground truth labels for lymph nodes recognition research and help junior doctors to train their interpretation skills. Therefore, we develop TeachMe, which is a web-based teaching system for annotating abdominal lymph nodes. The system has a three-level annotation-review workflow to construct an expert database of abdominal lymph nodes and a feedback mechanism helping junior doctors to learn the tricks of interpreting abdominal medical images. TeachMe\'s functionalities make itself stand out against other platforms. To validate these functionalities, we invite a medical team from Gastrointestinal Surgery Center, West China Hospital, to participate in the data collection workflow and experience the feedback mechanism. With the help of TeachMe, an expert dataset of abdominal lymph nodes has been created and an automated detection model for abdominal lymph nodes with incredible performances has been proposed. Moreover, through three rounds of practicing via TeachMe, our junior doctors\' interpretation skills have been improved.