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作 者:范伊濛 刘巧艳 曹松梅[1] 汪淑华 仲宇 王晶晶 夏卓然 李滕 FAN Yi-meng;LIU Qiao-yan;CAO Song-mei;WANG Shu-hua;ZHONG Yu;WANG Jing-jing;XIA Zhuo-ran;LI Teng(Dept.of Nursing Administration,Affiliated Hospital of Jiangsu University,Zhenjiang 212000,China;Dept.of Endocrinology and Metabolism;Affiliated Hospital of Jiangsu University,Zhenjiang 212000,China;Dept.of Hematology,Affiliated Hospital of Jiangsu University,Zhenjiang 212000,China;Jiangsu College of Nursing,Huai’an 223300,China;School of Medicine,Jiangsu University,Zhenjiang 212000,China)
机构地区:[1]江苏大学附属医院护理部,江苏镇江212000 [2]江苏大学附属医院内分泌科,江苏镇江212000 [3]江苏大学附属医院血液科,江苏镇江212000 [4]江苏护理职业学院,江苏淮安223300 [5]江苏大学医学院,江苏镇江212000
出 处:《护理学报》2024年第4期21-24,共4页Journal of Nursing(China)
摘 要:目的在PICC相关性血栓预测模型构建完成的基础上,应用循证方法学构建PICC相关性血栓预防护理知识库,为实现PICC相关性血栓预见性风险管理提供决策基础。方法以2020年发表的成人恶性肿瘤患者PICC血栓预防的最佳证据总结为基础,补充检索BMJ、JBI、RNAO、INS以及中国知网等国内外数据库和专业协会网站中关于PICC相关性血栓预防护理的所有证据,检索时限为2019年11月1日—2023年4月1日,对新纳入的文献进行质量评价和证据提取,并与现有最佳证据总结进行汇总、整理,形成知识库初稿,通过专家会议修改初稿,确定知识库终稿。按照临床护理分类系统编码规则,对知识库初稿内容进行编码。结果以PICC相关性血栓预测模型为评估工具,预防护理知识库终稿包括1项护理诊断、18项具体护理措施和4种护理结局。结论PICC相关性血栓预防护理知识库具有专业性、科学性与实用性,为临床护士提供科学决策。Objective To construct a PICC-related thrombosis preventive nursing knowledge base by using evidence-based methodology by using a PICC-related thrombosis prediction model,and to provide a decision-making basis for the predictive risk management of PICC-related thrombosis.Methods Based on the best evidence summary on PICC thromboprophylaxis in adult patients with malignant tumors published in 2020,we searched all the evidence on PICC-related thromboprophylaxis in domestic and foreign databases and professional association websites such as BMJ,JBI,RNAO,INS,and CNKI from November 1,2019 to April 1,2023.All newly identified literature underwent quality appraisal and evidence extraction.The draft knowledge base was synthesized by integrating the best available evidence from the previous summary with evidence extracted from the newly appraised literature.The final base was determined through the expert meeting.The content of the knowledge base was encoded according to clinical nursing classification system.Results Using the PICC-related thrombosis prediction model as an evaluation tool,the final version of the knowledge base included 1 nursing diagnosis,18 specific nursing measures and 4 nursing outcomes.Conclusion The PICC-related thromboprophylaxis nursing knowledge base exhibits characteristics of professionalism,scientific rigor and clinical applicability,and provides scientific decision-making for clinical nurses.
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