Objective To investigate the influencing factors of compassion fatigue（CF） among nurses in maternity hospitals,and then to further explore the impact path of factors. Methods 715 nurses in maternity hospitals from Jiangsu were investigated by the cross-sectional survey. A self-developed questionnaire,the Five-Factor Inventory,the Social Support Rate Scale,the Psychological Capital Questionnaire-Revision,and the Compassion Fatigue Scale were adopted to collect data. Results The number of children,personality of neuroticism and agreeableness,social support,and psychological capital are the influencing factors of CF（P<0.05）,while professional titles,length of services,labor relations,personality of extraversion and openness,social support and psychological capital influence compassion satisfaction（CS）（P<0.05）. In structural equation model,the indirect effects of neuroticism on CF or CS existed（ES=0.062,-0.420）. Social support and psychological capital play a partially mediating role in neuroticism and CF（ES=0.017）,accounting for 27.42% of the total indirect effects. They also play a completely mediating role in neuroticism and CS（ES=-0.112）,accounting for 26.67%. Positive personality had a significant indirect effect on CF or CS（ES=-0.158,0.623）,and social support and psychological capital serve as a completely mediating role between them （ES=-0.028,0.102）,accounting for 17.72% or 16.37% of the total indirect effects. Conclusion Nursing managers should take effective measures tailored to personality traits to help nurses meet high levels of social support and psychological capital,so as to promote CS and reduce CF.

Objective To construct the gynecological early warning score（GEWS） of critical patients and to test its predicted performance. Methods Using retrospective case analysis,we collected 389 cases of critical illness changes in gynecological patients from January 1,2018 to July 31,2019 in a level A tertiary hospital in Nanjing. The data was analyzed by single factor and multi-factor analysis to determine the relevant factors of gynecological critical illness changes and construct the GEWS table of critical illness to test the predictive effect of the scale. Results GEWS included 12 early warning indicators,including disease type,respiration rate,heart rate,systolic blood pressure,blood oxygen saturation,oxygen inhalation,consciousness,body temperature,lower abdominal pain,hemoglobin content,vaginal bleeding and related symptoms. Oxygen,body temperature,lower abdominal pain and vaginal bleeding are valued of 0 to 2 points,while other indicators were 0 to 3 points,with a total score of 0 to 32 points for 12 indicators;the best cutoff point of ROC curve was 3.5 points,with a sensitivity of 92.32% and a specificity of 88.85%. Conclusion The GEWS table can effectively warn the changes of critical gynecological conditions and predict the risks of changes in critical gynecological conditions,and help to improve the success rate of gynecological critical patients.

Objective To construct a system of post-hospital health management for patients with gynecological malignant tumor and provide corresponding evidence. Methods The post-hospital rehabilitation management platform for patients with gynecological malignant tumor included four parts：electronic information system,online APP learning platform,WeChat doctor-patient communication platform and offline health management center. The use of platform from January 1,2018,to April 30,2019,online doctor-patient interaction,offline service status and patients' satisfaction with the platform were calculated. Results The platform had 9 registered medical staff,and 188 patients with gynecological malignant tumor. Averagely each individual logged in the platform for 8.98 times,read for 17.1 articles,and each article was read by 91.89 times. There were doctor-patient interactions for 928 times,381 questions were asked,355 problems were solved,93.17% of problems were solved online,the average waiting time for online response was 19.6 hours. There were offline services for 22,169 times,waiting time of offline reservation was 3.1 days. Conclusion Post-hospital rehabilitation management platform for patients with gynecological malignant tumor has five characteristics：scientific,professional,practical,dynamic and convenient. It can promote patients' participation in rehabilitation management and rehabilitation after hospital,improve the efficiency of rehabilitation management,improve patients' rehabilitation experience.