摘要
[目的]明确目前在优质护理服务模式下护士共情疲劳的影响因素,为尽早科学识别临床护理人员共情疲劳提供理论依据。[方法]检索中国知网(CNKI)、维普(VIP)、中国生物医学文献服务系统(CBM);PubMed、Web of Science、Ovid、EMbase中英文数据库并提取数据,用Stata 15软件进行Meta分析。[结果]共纳入4篇文献,其中3篇中文文献,1篇英文文献。Meta分析显示:提取到具有统计学意义相关因素5项,学历[OR=2.44,95%CI(1.63,3.55)]、科室[OR=1.90,95%CI(1.29,2.79)]、周工作时间[OR=3.11,95%CI(1.40,6.91)]、护龄[OR=0.31,95%CI(0.10,0.97)]及重选工作意愿[OR=0.14,95%CI(0.03,0.63)]。[结论]现有证据表明,学历、科室、周工作时间、护龄、重选工作意愿是护士共情疲劳的影响因素。护理管理者可从这些方面进行尽早识别管理,稳定护理团队,更好地开展优质护理服务。
Objective:To clarify the influencing factors of nurses′compassion fatigue under the model of high-quality nursing service model,and to provide a theoretical basis for clinical nurses to identify compassion fatigue as early as possible.Methods:Data was retrieved from Chinese and English databases,including China National Knowledge Infrastructure(CNKI),VIP Database,China Biology Medicine dise(CBM),PubMed,Web of Science,Ovid,and EMbase.The Meta-analysis was performed with Stata 15 software.Results:A total of 4 piece of literatures were included,involving 3 piece of Chinese literatures and 1 piece of English literatures.Meta-analysis showed that 5 relevant factors with statistical differences,were extracted.They were education[OR=2.44,95%CI(1.63,3.55)],department[OR=1.90,95%CI(1.29,2.79)],weekly working hours[OR=3.11,95%CI(1.40,6.91)],working age[OR=0.31,95%CI(0.10,0.97)],and re-election willingness[OR=0.14,95%CI(0.03,0.63)].Conclusions:Existing evidence showed that education,department,weekly working time,working age,and intentoont of reselecting work intentions were the influencing factors of nurses′compassion fatigue.Nursing manager could identify compassion fatigue as early as possible from above aspects.Thus to stabilize the nursing team and develop high-quality nursing service better.
作者
王傲枭
王斌全
WANG Aoxiao;WANG Binquan(School of Nursing,Shanxi Medical University,Shanxi 030001 China)
出处
《循证护理》
2020年第3期212-219,共8页
Chinese Evidence-Based Nursing
关键词
护士
共情疲劳
继发性创伤压力
影响因素
优质护理
META分析
nurses
compassion fatigue
secondary traumatic stress
influencing factors
high-quality nursing
Meta-analysis