Background: Internet hospitals in China are being rapidly developed as an innovative approach to providing health services. The ongoing COVID-19 pandemic has triggered the development of internet hospitals that promote outpatient service delivery to the public via internet technologies. To date, no studies have assessed China's internet hospitals during the COVID-19 pandemic. Objective: This study aimed to elucidate the characteristics of China's internet hospitals and assess the health service capacity of these hospitals. Methods: Data on 711 internet hospitals were collected from official websites, the WeChat (Tencent Inc) platform, smartphone apps, and the Baidu search engine until July 16, 2020. Results: As of July 16, 2020, 711 internet hospitals were developed in mainland China. More than half of these internet hospitals (421/711, 59.2%) were established during 2019 (206/711, 29%) and 2020 (215/711, 30.2%). Furthermore, about one-third (215/711, 30.2%) of internet hospitals were established at the beginning of 2020 as an emergency response to the COVID-19 epidemic. The 711 internet hospitals consisted of the following 3 types of hospitals: government-oriented (42/711, 5.91%), hospital-oriented (143/711, 20.11%), and enterprise-oriented internet hospitals (526/711, 73.98%). The vast majority of internet hospitals were traditional hospitals (526/711, 74%). Nearly 46.1% (221/711) of internet hospitals requested doctors to provide health services at a specific web clinic. Most patients (224/639, 35.1%) accessed outpatient services via WeChat. Internet hospitals’ consulting methods included SMS text messaging consultations involving the use of graphics (552/570, 96.8%), video consultations (248/570, 43.5%), and telephone consultations (238/570, 41.8%). The median number of available web-based doctors was 43, and the median consultation fees of fever clinics and other outpatient clinics were ¥0 (US $0) per consultation and ¥6 (US $0.93) per consultation, respectively. Internet hospitals have provided various services during the COVID-19 pandemic, including medical prescription, drug delivery, and medical insurance services. Conclusions: The dramatic increase of internet hospitals in China has played an important role in the prevention and control of COVID-19. Internet hospitals provide different and convenient medical services for people in need.

The present study was to evaluate workplace violence and examine its effect on job burnout and turnover attempt among medical staff in China. A total of 2,020 medical employees were selected from Fujian province by using stratified cluster sampling method. The Chinese version of the Workplace Violence Scale and the Maslach Burnout Inventory–General Survey were used to measure the workplace violence and job burnout, respectively. Other potential influencing factors for job burnout and turnover attempt were collected using a structured questionnaire. The incidence of workplace violence among medical staff was 48.0%. Workplace violence had a positive correlation with emotional exhaustion and cynicism and a negative correlation with professional efficacy. Workplace violence, marital status, employment type, working time (≥ 10 h/day), performance recognition, and life satisfaction were significant predictors for turnover attempt among Chinese medical staff.

The present study is to evaluate the health-related quality of life (HRQOL) and analyze the effect of occupational stress, job burnout and coping resource on the HRQOL among nurses in China. A total of 1,012 nurses were recruited from eight hospitals of two provinces in 2008. The Chinese version of Short Form-36 Health Survey and Maslach Burnout Inventory-General Survey were used to measure the HRQOL and burnout respectively, the Occupation Stress Inventory-Revised Edition was used to evaluate occupational stressor, personal strain and coping resources. Other potential influencing factors for HRQOL were collected using a structured questionnaire. HRQOL in the nurses was lower than that in the general population. Occupational stressor, personal strain and job burnout correlated negatively with the HRQOL (p<0.05) while coping resources was positively related to the HRQOL (p<0.05). Among the predictive factors for HRQOL, occupational stressor (indicated by role insufficiency and physical environment), personal strain (indicated by physical strain and psychological strain), job burnout (indicated by emotional exhaustion and professional efficacy), length of work hours (≥10 h per day), diet irregularity and age were the main risk factors for HRQOL, while recreation and self-care were the main protective factors for HRQOL. The findings suggest occupational stress, job burnout and coping resources play important roles in HRQOL in the Chinese nurses.