Classification and Prediction of Violence Against Chinese Medical Staff on the Sina Microblog Based on a Self-Organizing Map: Quantitative Study.

BACKGROUND: For the last decade, doctor-patient contradiction in China has remained prominent, and workplace violence toward medical staff still occurs frequently. However, little is known about the types and laws of propagation of violence against medical staff online. OBJECTIVE: By using a self-organizing map (SOM), we aimed to explore the microblog propagation law for violent incidents in China that involve medical staff, to classify the types of incidents and provide a basis for rapidly and accurately predicting trends in public opinion and developing corresponding measures to improve the relationship between doctors and patients. METHODS: For this study, we selected 60 cases of violent incidents in China involving medical staff that led to heated discussions on the Sina microblog from 2011 to 2018, searched the web data of the microblog using crawler software, recorded the amount of new tweets every 2 hours, and used the SOM neural network to cluster the number of tweets. Polynomial and exponential functions in MATLAB software were applied to predict and analyze the data. RESULTS: Trends in the propagation of online public opinion regarding the violent incidents were categorized into 8 types: bluff, waterfall, zigzag, steep, abrupt, wave, steep slope, and long slope. The communications exhibited different characteristics. The prediction effect of 4 types of incidents (ie, bluff, waterfall, zigzag, and steep slope) was good and accorded with actual spreading trends. CONCLUSIONS: Our study found that the more serious the consequences of a violent incident, such as a serious injury or death, the more attention it drew on the microblog, the faster was its propagation speed, and the longer was its duration. In these cases, the propagation types were mostly steep slope, long slope, and zigzag. In addition, the more serious the consequences of a violent incident, the higher popularity it exhibited on the microblog. The popularity within a week was significantly higher for acts resulting from patients' dissatisfaction with treatments than for acts resulting from nontherapeutic incidents.

Use of hospital appointment registration systems in China: a survey study.

BACKGROUND: Hospitals have expressed no knowledge of patients' opinions regarding diversified appointment registration systems, despite efforts to develop novel appointment registration systems that assist patients and increase hospital efficiency. Therefore, the aim of this study was to investigate the use of diversified appointment registration systems and explore the factors influencing patients' registration system choices. METHODS: A survey study using a questionnaire was conducted in West China Hospital in February 2012. Outpatients were randomly selected from different hospital departments and the questionnaire was distributed and collected on-site. RESULTS: Data from 1,009 patients were available for analysis. Of these, 63.4% used appointment systems to register while others chose a traditional queuing method to register. 114 telephone (30.4%) and on-site (22.9%) appointments were made, whereas other systems were less used by patients. Between the non-appointment and appointment groups there were significant differences in gender, educational degree, and residence location (P < 0.05), but no significant difference in age (P > 0.05). While the clinical appointment system had the greatest number of appointment days (25.75), the bank's self-service terminal appointment had the least number of appointment days (5.05). Leaflets sent from the hospital (50.70%) and the recommendations of friends or families (40.77%) were the two main ways of knowing about the appointment registration systems. With the exception of those who felt no need to make an appointment (30.12%), not having the capability to use the appointment systems (24.10%) and the lack of a registered health card (34.53%) were the two main reasons for not using appointment registration systems. CONCLUSIONS: Convenience was a major motivation for patients' use of appointment registration systems. Personal knowledge and capability were the two important factors that influenced patients' appointment system choices. Hospitals must improve the design and promotion of appointment registration systems to better facilitate their use.