Follow-up survey of general practitioners in Zhejiang Province post-completion of position transition training in 2017-2020.

BACKGROUND: Position transition training for general practitioners in Zhejiang Province started in 2017 and has since been held once a year. By the beginning of 2022, four training sessions were completed. The purpose of this survey was to establish the current situation of trainees after their graduation and provide reference for the evaluation of the training effect. METHODS: Of the 738 trainees who completed the training, 253 were contacted and followed up. A self-designed questionnaire was used to conduct the survey through online filling in. The content included questions to elucidate the following information: whereabouts after the training, registration as a general practitioner, undertaken general practice teaching and scientific research work, current occupational environment, improvement of post competence after receiving position transition training, willingness to complete survey, willingness to participate in future training programs, etc. RESULTS: A number of 253 valid questionnaires were collected with a recovery rate of 100%. Notably, 93.68% of the participants successfully completed their training and obtained the Training Certificate of General Practitioners. Further, 83.4% were registered as general practitioners, 82.94% of which added on the basis of the original registered scope of practice. Currently, most of them work in primary health care institutions, primarily occupied with medical treatment, chronic disease management, COVID-19 prevention and control, health education, and prevention and health care. Of them, 27.01% were currently undertaking teaching work, and only 3.32% of them were conducting scientific research work related to general practice. The overall satisfaction of the trainees in the three theoretical training bases was above 90%, with no statistically significant difference among them (P > 0.05). Importantly, 84.11% of the followed-up personnel hoped to continue to participate in similar training in the future to improve their general practitioner core competences. CONCLUSION: The position transition training in Zhejiang Province has achieved good results, but the details of training and the implementation of policies in individual regions need to be improved. Most of the graduates were willing to continue their education, especially in general practitioners with special interests.

Chinese parents' willingness to vaccinate their children against COVID-19: A systematic review and meta-analysis.

Introduction: To evaluate Chinese parents' willingness to vaccinate their children against COVID-19, identify its predictors, and provide a reference for raising the COVID-19 vaccination rate for children. Method: PubMed, Cochrane Library, Embase, and the databases in Chinese, including CNKI, WanFang, VIP, CBM, were searched from December 2019 to June 2022, and citation tracking was used to identify relevant studies. To calculate the rate with 95% confidence intervals (CI), a random-effects model was used. To explore sources of heterogeneity, sensitivity analysis and subgroup analysis were conducted. This analysis was registered on PROSPERO (CRD42022346866) and reported in compliance with the PRISMA guidelines. Result: Overall, 80 studies were screened, and 13 studies with 47994 parents were included after removing duplicates and excluding 19 studies that did not meet the selection criteria by title, abstract and full-text screening. The pooled willingness rate of Chinese parents to vaccinate their children against COVID-19 was 70.0% (95% CI: 62.0~78.0%). Level of education, perceived susceptibility of children infected with COVID-19, and parental attitudes toward vaccination (such as perceived efficacy and safety of the COVID-19 vaccines, parental willingness to vaccinate themselves, parental vaccination hesitancy, and the history of children's vaccination against influenza) were the main predictors of parents' intention to vaccinate their children. Discussion: Chinese parents' willingness to vaccinate their children against COVID-19 is moderate, and factors including parental education level, perceived susceptibility of children infected with COVID-19, and parental attitudes toward vaccination affect this decision. Fully identifying these factors and their mechanism will be essential to further raise the willingness rate. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022346866.

Running an Internet Hospital in China: Perspective Based on a Case Study.

Internet hospitals, as a new forum for doctors to conduct diagnosis and treatment activities based on the internet, are emerging in China and have become integral to the development of the medical field in conjunction with increasing reforms and policies in China's medical and health system. Here, we take the Internet Hospital of the First Affiliated Hospital, Zhejiang University (FAHZU Internet Hospital) as an example to discuss the operations and functional positioning of developing internet hospital medical services in relation to physical hospitals. This viewpoint considers the platform operation, management, and network security of FAHZU Internet Hospital, and summarizes the advantages and limitations in the operation to provide a reference for other areas with interest in developing internet hospitals.

A COVID-19 Risk Assessment Decision Support System for General Practitioners: Design and Development Study.

BACKGROUND: The coronavirus disease (COVID-19) has become an urgent and serious global public health crisis. Community engagement is the first line of defense in the fight against infectious diseases, and general practitioners (GPs) play an important role in it. GPs are facing unique challenges from disasters and pandemics in delivering health care. However, there is still no suitable mobile management system that can help GPs collect data, dynamically assess risks, and effectively triage or follow-up with patients with COVID-19. OBJECTIVE: The aim of this study is to design, develop, and deploy a mobile-based decision support system for COVID-19 (DDC19) to assist GPs in collecting data, assessing risk, triaging, managing, and following up with patients during the COVID-19 outbreak. METHODS: Based on the actual scenarios and the process of patients using health care, we analyzed the key issues that need to be solved and designed the main business flowchart of DDC19. We then constructed a COVID-19 dynamic risk stratification model with high recall and clinical interpretability, which was based on a multiclass logistic regression algorithm. Finally, through a 10-fold cross-validation to quantitatively evaluate the risk stratification ability of the model, a total of 2243 clinical data consisting of 36 dimension clinical features from fever clinics were used for training and evaluation of the model. RESULTS: DDC19 is composed of three parts: mobile terminal apps for the patient-end and GP-end, and the database system. All mobile terminal devices were wirelessly connected to the back end data center to implement request sending and data transmission. We used low risk, moderate risk, and high risk as labels, and adopted a 10-fold cross-validation method to evaluate and test the COVID-19 dynamic risk stratification model in different scenarios (different dimensions of personal clinical data accessible at an earlier stage). The data set dimensions were (2243, 15) when only using the data of patients' demographic information, clinical symptoms, and contact history; (2243, 35) when the results of blood tests were added; and (2243, 36) after obtaining the computed tomography imaging results of the patient. The average value of the three classification results of the macro-area under the curve were all above 0.71 in each scenario. CONCLUSIONS: DCC19 is a mobile decision support system designed and developed to assist GPs in providing dynamic risk assessments for patients with suspected COVID-19 during the outbreak, and the model had a good ability to predict risk levels in any scenario it covered.