Background: Medical care workers experienced unprecedented levels of workload and pressure since the outbreak of coronavirus disease 2019 (COVID-19). Little is known about its exact impact on medical care workers and related factors in China. This study aims to identify the psychological impact of COVID-19 on medical care workers in China. Methods: From February 23 to March 5, 2020, a cross-sectional survey was conducted among 863 medical care workers from seven provinces in China using standard questionnaires measuring adverse psychological outcomes including Impact of Event Scale-6 (IES-6), Depression, Anxiety and Stress Scale(DASS)and related psychosocial factors like perceived threat, social support and coping strategies. Exploratory Factor analysis was performed to identify the dimensions of perceived threat by study participants. Multivariate regression was used to examine the determinants of adverse psychological outcomes. Results: Posttraumatic stress (PTS) were prevalent in this sample of health care professionals, and 40.2% indicated positive screens for significant posttraumatic stress disorder symptoms. The proportion of having mild to extremely severe symptoms of depression, anxiety and stress were 13.6, 13.9 and 8.6%, respectively. Perceived threat and passive coping strategies were positively correlated to PTS and DASS scores, while perceived social support and active coping strategies were negatively correlated to DASS scores. Nurses were more likely to be anxious than others among medical care workers during the COVID-19 epidemic. Conclusions: Adverse psychological symptoms were prevalent among medical care workers in China during the COVID-19 epidemic. Screening for adverse psychological outcomes and developing corresponding preventive measures would be beneficial in decreasing negative psychological outcomes.

It is globally agreed that a well-designed health system deliver timely and convenient access to health services for all patients. Many interventions aiming to reduce waiting times have been implemented in Chinese public tertiary hospitals to improve patients’ satisfaction. However, few were well-documented, and the effects were rarely measured with robust methods. We conducted a longitudinal study of the length of waiting times in a public tertiary hospital in Southern China which developed comprehensive data collection systems. Around an average of 60,000 outpatients and 70,000 prescribed outpatients per month were targeted for the study during Oct 2014-February 2017. We analyzed longitudinal time series data using a segmented linear regression model to assess changes in levels and trends of waiting times before and after the introduction of waiting time reduction interventions. Pearson correlation analysis was conducted to indicate the strength of association between waiting times and patient satisfactions. The statistical significance level was set at 0.05. The monthly average length of waiting time decreased 3.49 min (P = 0.003) for consultations and 8.70 min (P = 0.02) for filling prescriptions in the corresponding month when respective interventions were introduced. The trend shifted from baseline slight increasing to afterwards significant decreasing for filling prescriptions (P =0.003). There was a significant negative correlation between waiting time of filling prescriptions and outpatient satisfaction towards pharmacy services (r = −0.71, P = 0.004). The interventions aimed at reducing waiting time and raising patient satisfaction in Fujian Provincial Hospital are effective. A long-lasting reduction effect on waiting time for filling prescriptions was observed because of carefully designed continuous efforts, rather than a one-time campaign, and with appropriate incentives implemented by a taskforce authorized by the hospital managers. This case provides a model of carrying out continuous quality improvement and optimizing management process with the support of relevant evidence.

Background: Managing risk factors is crucial to prevent stroke. However, few cohort studies have evaluated socioeconomic factors together with conventional factors affecting incident stroke and its subtypes in China. Methods and Results: A 2014 to 2016 prospective study from the China National Stroke Screening and Intervention Program comprised 437 318 adults aged ≥40 years without stroke at baseline. There were 2429 cases of first‐ever stroke during a median follow‐up period of 2.1 years, including 2206 ischemic strokes and 237 hemorrhagic strokes. The multivariable Cox regression analysis indicated that age 50 to 59 years (versus 40–49 years), primary school or no formal education (versus middle school), having >1 child (versus 1 child), living in Northeast, Central, East, or North China (versus Southwest China), physical inactivity, hypertension, diabetes mellitus, and obesity were positively associated with the risk of total and ischemic stroke, whereas age 60 to 69 years and living with spouse or children (versus living alone) were negatively associated with the risk of total and ischemic stroke. Men, vegetable‐based diet, underweight, physical inactivity, hypertension, living in a high‐income region, having Urban Resident Basic Medical Insurance, and New Rural Cooperative Medical System were positively associated with the risk of hemorrhagic stroke, whereas age 60 to 69 years was negatively associated with the risk of hemorrhagic stroke. Conclusions: We identified socioeconomic factors that complement traditional risk factors for incident stroke and its subtypes, allowing targeting these factors to reduce stroke burden.

This study aims to develop understanding of Chinese patient satisfaction with tertiary hospitals. The study draws on data collected from the 2015 China National Patient Survey. A Likert five-point scale was used to formulate the questionnaires. Descriptive analysis and logistic regression analysis were conducted. A structured questionnaire was used by 1432 interviewers to interview 27 475 outpatients and 19 938 inpatients in 136 tertiary hospitals from 31 provinces. Outpatients in the dispensing area and inpatients in the discharging area were randomly interviewed. Key domains of the questionnaire include the layout of service functions, environment maintenance, process management, quality of care, humane care and the patient–doctor relationship. Within each domain, several indicators were set, and each indicator was given a statement. The overall satisfaction scores are 4.42 ± 0.68 and 4.67 ± 0.62 for outpatient and inpatient, respectively. The domains with highest satisfaction are ‘diagnosis and treatment’ for outpatient and ‘nursing care’ for inpatient. Outpatients were least satisfied with long waiting time, while inpatients were least satisfied with the food. The strongest predictor of overall satisfaction appears to be ‘patient–doctor relationship’ for both outpatients (OR = 3.53, 95% CI: 3.17–3.92) and inpatients (OR = 7.34, 95% CI: 5.55–9.70). Chinese hospitals need to pay more attention to offering more humane care to patients, hospital environment and process management improvement, reducing waiting times for seeing doctors and outpatient testing, and improving amenity services such as better food in the wards.

The ongoing pandemic of novel coronavirus disease 2019 (COVID-19) is challenging global public health system. Sex-differences in infectious diseases are a common but neglected problem. We used the national surveillance database of COVID-19 in mainland China to compared gender differences in attack rate (AR), proportion of severe and critical cases (PSCC) and case fatality rate (CFR) in relation to age, affected province, and onset-to-diagnosis interval. The overall AR was significantly higher in female population than in males (63.9 versus 60.5 per million persons; P ˂ .001). By contrast, PSCC and CFR were significantly lower among female patients (16.9% and 4.0%) than among males (19.5% and 7.2%), with ORs of 0.87 and 0.57, respectively (both P ˂ .001). The female-to-male differences were age-dependent, which were significant among people aged 50–69 years for AR, and in the patients of 30-years or older for both PSCC and CFR (all P ≤ .001). The AR, PSCC and CFR varied greatly from province to province. However, female-to-male differences in AR, PSCC and CFR were significant in the epicenter, Hubei province, where 82.2% confirmed cases and 97.4% deaths occurred. After adjusting for age, affected province and onset-to-diagnosis interval, the female-to-male difference in AR, PSCC and CFR remained significant in multivariate logistic regression analyses. We elucidate an age-dependent gender dimorphism for COVID-19, in which the females have higher susceptibility but lower severity and fatality. Further epidemiological and biological investigations are required to better understand the sex-specific differences for effective interventions.