View clinical trials related to Obstetrics and Gynecology.
Filter by:China has witnessed a surge in violence against medical personnel, including widely reported incidents of violent abuse, riots, attacks, and protests in hospitals, but little is known about the definite prevalence of workplace violence against physicians of obstetrics and gynecology in China. The aim of this study is to analyze prevalence of workplace violence against physicians of obstetrics and gynecology in China. A customized questionnaire will be delivered by the social software WeChat to the specific hospital which has been randomly sampled, and all physicians of Obstetrics and Gynecology in this hospital will fill the questionnaire anonymously. A random sampling will be performed in all 32 provinces, municipality or autonomous regions in the mainland of China. It is assumed that acceptable 95% confidence interval is P±4%, and the sample size under the condition of simple random sampling is 600 persons. If the homogeneity is set as 0.15 or 0.2, and each population (unit) has 10 or 15 persons accepting survey, we will achieve a design effect of 2.35 to 3.80. If we choose the design effect of 3, the sample size of every level needs is 1800. Considering 10% population refusing to be surveyed, in all mainland of China, three levels of hospitals will include at least 6000 physicians who accept survey.
COVID-19 pandemics have changed extensively the lives around the world. Although most physicians of obstetrics and gynecology have no critical role in the frontline against COVID-19 pandemics, their work, research and education activities still underwent great changes. The primary aim of this study is to analyze change of workload during the COVID-19 pandemics in physicians of obstetrics and gynecology in China. A customized questionnaire will be delivered by the social software WeChat to the specific hospital which has been randomly sampled, and all physicians of Obstetrics and Gynecology in this hospital will fill the questionnaire anonymously. A random sampling will be performed in all 32 provinces, municipality or autonomous regions in the mainland of China. It is assumed that acceptable 95% confidence interval is P±4%, and the sample size under the condition of simple random sampling is 600 persons. If the homogeneity is set as 0.15 or 0.2, and each population (unit) has 10 or 15 persons accepting survey, we will achieve a design effect of 2.35 to 3.80. If we choose the design effect of 3, the sample size of every level needs is 1800. Considering 10% population refusing to be surveyed, in all mainland of China, three levels of hospitals will include at least 6000 physicians who accept survey.