Objective To establish an evaluation index system for insurance compensation for vaccine adverse events in Guangdong Province. Methods The index system was initially formulated by referring to literature review and policy documents of other pilot regions and other similar insurance products, and the indicators were selected by collecting experts' scores through three rounds of questionnaires using the Delphi method, and the weights of each indicator were calculated using the percentage weighting method. Results A total of 24 experts participated in the survey evaluation, including 7 experts from national and provincial CDCs, 5 experts from provincial health administration departments, and 12 experts from higher education institutions; 9 experts with senior titles, 8 experts with associate titles, and 7 others. The areas of expertise involved epidemiology (n=9), health policy (n=7), insurance (n=6), pharmacology (n=1), and health toxicology (n=1). The participation rate of experts in the three rounds was 95.80%, 100.00%, and 95.80%, respectively. The average coefficient of expert authority was 0.79, among which the average coefficient of expert judgment was 0.76 and the average coefficient of familiarity was 0.82. Following three rounds of expert consultations, an evaluation index system for insurance compensation for vaccine adverse events in Guangdong Province was established, which included five primary indicators (pilot results, pre-planning, implementation, post-analysis, and support work), 12 secondary indicators (number of insured, policy formulation, insurance fund raising, etc.), and 34 tertiary indicators (number of insured vaccine companies, number of insured persons vaccinated, policy integrity, etc.). Conclusion The evaluation index system established in this study has a high degree of authority and coordination of expert opinions, and can be used for the specific evaluation of the work on compensation insurance for vaccine adverse events in Guangdong Province.

Objective To understand the status of school health human resources allocation in disease control and prevention institutions at all levels and the establishment and staffing of school health departments in Shanxi Province, and to provide basic information for the construction of school health system, professional team construction, and work implementation of disease control and prevention institutions in Shanxi Province. Methods The survey was conducted on the setup of school health departments in disease control and prevention institutions at all levels and the information of personnel engaged in school health work, based on the questionnaire content of the "Notice on Carrying Out a Nationwide Survey on the Construction of School Health Work System and Capacity", which was issued by the Chinese Center for Disease Control and Prevention. Descriptive analysis method was used to analyze the configuration and equity of school health human resources. Results In Shanxi, a survey was conducted on a total of 129 provincial, municipal, and county (district) level disease control and prevention centers, of which four had established independent school health departments, representing 3.1%. At the provincial level, no independent school health department was present; at the municipal level, one independent school health department was identified, accounting for 9.1% (1 out of 11); at the county (district) level, three independent school health departments were identified, accounting for 2.6% (3/117). Among the four disease control and prevention centers that had established independent school health departments, none had staff members in the provincial and municipal disease control and prevention centers, while 10 staff members were present in the county (district) disease control and prevention centers. The proportion of healthcare teachers among all school students was 0.24%, with full-time healthcare teachers at 0.03%, school doctors at 0.03%, and the number of full-time school doctors at 0.02%. Among the 6 955 schools surveyed, regular high schools had the highest proportion of health clinics, at 48.97%, followed by secondary vocational education schools (43.28%); the proportion of junior high schools setting up health rooms was the highest, at 45.95%, followed by ordinary primary schools (44.15%). There were 240 on-the-job personnel engaged in school health work, including four from provincial disease control and prevention centers, 20 from municipal disease control and prevention centers, and 216 from county (district) level personnel. Among these 240 individuals, females constituted the main group (62.5%), and the age range was predominantly between 45 and 54 years old (38.9%); clinical medicine comprised 27.5%, while public health comprised 25.4%; junior college and below made up the majority (61.3%), followed by undergraduate studies (35.4%); junior professional titles accounted for 27.9%. A statistically significant difference was observed in the educational background of school health workers across different administrative levels of disease control and prevention institutions (χ²=28.409, P<0.01). In 2020, the HRADi for all cities in Shanxi Province was<1; when comparing HRADi and PADi among cities, Taiyuan and Yangquan were found to be relatively better than other cities. The difference between HRADi and PADi was less than 0 for all comparisons. Conclusions In 2020, the allocation structure of school health human resources in Shanxi Province is insufficient. Among disease control and prevention institutions at all levels, the proportion of school health departments set up independently is low, there is a shortage of school health workers, and the educational level is low, especially in county (district) level control and prevention institutions. Therefore, it is necessary to strengthen the construction of school health work system in disease control and prevention institutions in Shanxi Province.

Objective To investigate the sub-health status of community residents in Jingmen City and analyze the related influencing factors. Methods From June to December 2023, a multi-stage random sampling approach was employed to select community residents in Jingmen as the survey subjects. Specifically, three districts/counties were randomly chosen in Jingmen City, three streets/towns were randomly selected within each district/county, and three communities were randomly picked in each street/town. One hundred adult residents from each community were randomly selected to receive questionnaires. The Sub-health Rating Scale (SHMSV1.0) was utilized to assess the sub-health status of community residents, and both univariate and multivariate analyses were conducted to analyze the influencing factors of the sub-health status of community residents. Results In this study, 2 700 questionnaires were distributed and 2 656 valid questionnaires were retrieved, with an effective rate of 98.37%, including 1 230 women and 1 426 men. There were 1 649 people with sub-health in Jingmen, and the detection rate was 62.08%. The detection rates of physical sub-health, mental sub-health, and social sub-health were 59.63%, 52.03%, and 53.77%, respectively. Multivariate logistic regression analysis showed that age (OR = 2.117), BMI index (<18.5 kg/m² OR = 2.233, ≥ 28.0 kg/m² OR = 2.361), being on the job (OR= 1.582), weekly working hours ≥ 60 h (OR = 1.494), average monthly income <2 000 yuan (OR= 1.628), smoking (OR= 1.980), drinking (OR = 1.884), sleep time <8 h (OR= 1.668), often staying up late (OR= 1.910), bad eating habits (OR= 1.668), low self-care regarding health (OR= 1.558), physical exercise (OR= 0.667), stress perception (large OR=1.976, medium OR=1.232), degree of frustration (OR=2.041), low social support (OR= 1.316), and experiencing stress events in the past six months (OR =1.697) were the influencing factors of sub-health among residents in Jingmen City. Conclusions The prevalence of sub-health among community residents in Jingmen City is high, and its influencing factors are complex, which are related to age, health behavior, and work and life pressure. It is necessary to take a variety of targeted intervention measures to improve the sub-health status of residents and improve their health level.

Objective To develop the satisfaction assessment scale for primary vaccination clinic services and to test its reliability and validity. Methods The initial scale for evaluating the satisfaction of primary vaccination clinic service was developed by using literature research, interviews, and expert survey. The formal scale was obtained by field investigation of parents of children aged 0 - 6 years in vaccination clinic after screening items, and the reliability and validity of the scale were evaluated. Results The final scale contained five dimensions and 30 items. Exploratory factor analysis extracted five common factors, which were service standardization, service accessibility and tangibility, humanistic care, responsiveness, and service guarantee, with a cumulative explained variance percentage of 73.64%. Confirmatory factor analysis showed a χ²/df ratio of 2.042, RMSER of 0.067, CFI of 0.942, TLI of 0.933, all indicating a good model fit. The CR values for the five dimensions were 0.943, 0.931, 0.855, 0.943, and 0.861, respectively. Similarly, the AVE values were 0.664, 0.618, 0.665, 0.770, and 0.674, respectively, indicating ideal aggregation validity. However, the square roots of AVE for service standardization and service accessibility and tangibility were smaller than the correlation coefficients among some factors, suggesting slightly poor discriminant validity. The Cronbach's α coefficient of the total scale was 0.977, and the Guttman split-half coefficient was 0.932, both indicating good reliability. Conclusion The reliability and validity of the vaccination satisfaction evaluation scale prepared in this study are acceptable, which can provide a tool for improving the quality of vaccination service.

Objective To explore the current situation of aggressive behavior in patients with stable schizophrenia and analyze its related factors, so as to provide the scientific basis for community and home management of these patients. Methods From June to October 2023, the patients with stable schizophrenia registered in Shanghai Pudong New Area Mental Health Center were investigated. The basic data of patients was collected using a self-made questionnaire, and univariate and multivariate analyses were conducted to identify influencing factors of aggressive behavior. Results A total of 360 patients with stable schizophrenia were included in this study, 42 exhibited aggressive behaviors, resulting in an incidence rate of 11.67%. The majority (73.81%) involved attacking others (31 cases), while the remaining cases (26.19%) involved attacking objects. Multivariate logistic regression analysis showed that male (OR=2.391), previous risk grade 3-5 (OR=2.699), the number of aggressive behaviors in the past year (1-2 OR=3.717, ≥3 OR=4.439), recent stress events (OR=4.965), mental symptoms involving violence (OR=3.748), positive symptom score (OR=1.161), negative symptom score (OR=1.176), and general symptom score (OR=1.131) were all identified as risk factors for aggressive behavior in patients with stable schizophrenia (all P<0.05). Regular medication (OR=0.160) and regular follow-up (OR=0.229) were found to be protective factors against such behavior (all P<0.05). Conclusions There remains a certain level of risk for aggressive behavior among patients with stable schizophrenia. Early prevention and treatment should be implemented based on identified risk factors to effectively reduce this risk.

Objective To evaluate the ability of the dengue fever prevention and control system in Yantian District, Shenzhen, and provide scientific basis for strengthening the weak links in dengue fever prevention and control. Method Four areas were selected from the whole district, and household surveys, professional agency interviews, and questionnaire surveys were conducted to investigate and assess the risk of dengue fever importation, detection capability, and spread risk in the jurisdiction. Results Import risk: Customs conducted dengue fever screening through active declaration, and the proportion of migrant population in the district was high, the number of international tourists was large, and the incidence rate of imported cases ranked first in the city. Detection capability: Residents in Dameisha Village had the lowest awareness rate of dengue fever (42.31%), followed by residents in Anjing New Village (50.75%), 89.47% of residents in the jurisdiction would seek medical treatment when they had symptoms, the awareness rate of dengue fever epidemiological history among medical staff in the whole district was low (14.61%), and the community health center was not equipped with non-structural protein 1 (NS1) detection reagents. Diffusion risk: Residents in Dameisha Village had a low awareness of mosquito prevention (66.67%), and the rate of installing window screens was only 11.54%, the Breteau Index showed that Dameisha Village was a high-risk area (BI=26), Zhongying Street Community was a medium-risk area (BI=18), Anjing New Village was a low-risk area (BI=6), and Yumin New Village was relatively safe (BI=3). Conclusions Yantian District faces a high risk of dengue fever importation, with residents and medical staff lacking sufficient knowledge of the disease and limited detection capabilities. It is necessary to strengthen prevention and control measures throughout the district and raise awareness of mosquito prevention.