1.A multi-stage dynamic prevention and control study on hospital workplace violence based on crisis management theory
Yuanshuo MA ; Lihua FAN ; Qian WANG ; Licheng WANG ; Yu SHI ; Zhe LI ; Xin NI
Chinese Journal of Hospital Administration 2021;37(12):984-989
Objective:To construct a multi-stage dynamic prevention and control model, establish a system of intervention points and prevention and control measures for the prevention and control of workplace violence in hospitals, so as to provide guidance for hospitals and medical staffs to effectively prevent and respond to such incidents.Methods:Based on the crisis management theory, a model for the prevention and control of workplace violence in hospitals was constructed, the intervention points and prevention and control measures were screened by the Delphi method.Results:A multi-stage dynamic prevention and control model of workplace violence in hospitals was constructed, and a system of intervention points and prevention and control measures for workplace violence in hospitals were established according to the model. The system was divided into three stages: the pre-event stage contained 10 intervention points and 48 countermeasures, the in-event stage contained 6 intervention points and 17 countermeasures, and the post-event stage contained 3 intervention points and 12 countermeasures.Conclusions:It is an effective way to avoid violence and reduce the damage degree of violent incidents by selecting different countermeasures for different intervention points and carrying out multi-stage dynamic prevention and control of workplace violence in hospitals.
2.Analysis of mediation effect of psychological detachment and career calling of medical personnel in the relationship between hospital workplace violence and turnover intention
Fanlong BU ; Yuanshuo MA ; Jikang QI ; Lihua FAN ; Xin NI
Chinese Journal of Hospital Administration 2023;39(11):857-861
Objective:To analyze the role of psychological detachment(PD) and career calling(CC) in the relationship between hospital workplace violence(HV) and turnover intention(TI), so as to provide references for developing effective intervention measures for medical personnel who have suffered from HV.Methods:From October and November 2022, convenient sampling was used to select medical staff from public hospitals in 16 provinces of China, and a questionnaire survey was conducted on HV, TI, PD, and CC. Pearson′s test was used for correlation analysis, and mediation effect analysis and moderated mediation effect analysis were used to explore the role of PD and CC in the relationship between HV and TI.Results:A total of 1 090 medical personnel were included in this survey, of whom 600(55.0%) had been subjected to HV. The findings showed that HV was positively correlated with TI( r = 0.27, P<0.05). From the analysis of mediation effect, HV had a negative predictive effect on PD( β =-0.82, P<0.05). PD had a negative predictive effect on TI( β =-0.31, P<0.05). PD partially mediated the association between HV and TI, with a mediation effect value of 0.25(17.39%). From the analysis of moderated mediation effect, interaction between HV and CC( β =-0.41, P<0.05) and the interaction between PD and TI( β = 0.17, P<0.05) had a moderating effect on the level of TI of medical personnel. Conclusions:HV was an important factor in predicting the TI of medical personnel, with PD partially mediating between HV and TI. The sense of CC played a moderating role between HV and TI, as well as between PD and TI.
3.Anti-sepsis effect and mechanism of Apocynum leavesbased on network pharmacology
Yuanshuo OUYANG ; Yanming WANG ; Xuqing QIN ; Han JIANG ; Luqian LIU ; Wenjun HE ; Xinzhi LI ; Ketao MA
Journal of Xi'an Jiaotong University(Medical Sciences) 2021;42(3):484-490
【Objective】 To study the mechanism of Apocynum leaves in the treatment of sepsis by network pharmacology method in order to explore the multi-dimensional research method of Xinjiang ethnic medicine treatment of infectious diseases and provide scientific theoretical basis for clinical medication. 【Methods】 TCMSP and literature collection were used to screen the main active components of Apocynum venetum leaf, and target prediction analysis was conducted by SwissTarget Prediction database. We used Genecards database to screen relevant targets for sepsis, used Omicshare to calculate Venn figure of the intersection targets, constructed the protein-protein interaction network diagram in the STRING database, used Ensembl for name conversion of protein targets, then entered Omicshare server for Go function and KEGG pathway enrichment of dynamic analysis. Last we used Cytoscape3.6.0 software to construct "Apocynum venetum leaf-the active ingredients-targets-Go-KEGG-sepsis" network to explore the mechanism of action of Apocynum’s resistance to sepsis. 【Results】 Kaferol, luteolin, proanthocyanidin B