血液病患者PICC导管相关性静脉血栓风险评估体系研制
Development of Risk Assessment System of PICC Catheter-Associated Venous Thrombus in Patients with Hematological Diseases
邵帅 1苏醒 1杨苗苗 1庄淑梅 2张慧敏1
作者信息
- 1. 中国医学科学院血液病医院(中国医学科学院血液学研究所)/实验血液学国家重点实验室/国家血液系统疾病临床医学研究中心/细胞生态海河实验室/天津医学健康研究院 天津 300020
- 2. 天津医科大学护理学院 天津 300070
- 折叠
摘要
目的 构建血液病患者PICC导管相关性静脉血栓(PICC-RVT)风险评估体系.方法 检索 PICC-RVT相关文献,建立初始指标池;通过小组讨论,初步拟定血液病患者 PICC-RVT风险评估指标;采用德尔菲法进行两轮专家函询,利用层次分析法确定指标权重.结果 两轮函询专家积极程度分别为 100%、88.0%,专家权威系数分别为 0.831、0.925,Kendall's W系数分别为 0.227、0.364.最终形成的血液病患者PICC-RVT风险评估体系包含一级指标 4 个、二级指标 13 个、三级指标 43 个.结论 构建的血液病患者PICC-RVT风险评估体系具有一定科学性,为评估血液病患者PICC-RVT风险提供了工具.患者、治疗、导管以及操作是血液病患者 PICC-RVT风险评估需重点关注的内容.
Abstract
Objective To develop a risk assessment system for Peripherally Inserted Central Catheter Related Ve-nous Thrombus(PICC-RVT)in patients with hematological diseases.Methods PICC-RVT related literature was retrieved and initial index pool was established.Through group discussion,the PICC-RVT risk assessment indexes of patients with hematological diseases were preliminarily developed.Two rounds of expert correspondence were conducted by Delphi method,and the index weights were determined by analytic hierarchy process.Results The positive degree of the two rounds of correspondence consultation with experts was 100%and 88.0%,the expert authority coefficient was 0.831 and 0.925,and the Kendall's W coefficient was 0.227 and 0.364,respectively.The final PICC-RVT risk assess-ment system for patients with hematological diseases contains 4 first-level indicators,13 second-level indicators and 43 third-level indicators.Conclusion The established PICC-RVT risk assessment system for patients with hema-tologic diseases is scientific and provides a tool for assessing the risk of PICC-RVT in patients with hematologic disea-ses.Patients,treatments,catheters,and procedures are key aspects of PICC-RVT risk assessment in patients with he-matologic diseases.
关键词
血液病/PICC/导管相关性静脉血栓/风险评估体系Key words
Hematological Disease/PICC/PICC-RVT/Risk Assessment System引用本文复制引用
基金项目
中国医学科学院医学与健康科技创新工程项目资助(2021-I2M-C&T-B-085)
出版年
2024
NETL
NSTL
万方数据