[1]吴尧王丹心谢碧姣林晓丽谭绍英王涛.脑卒中患者跌倒风险评估体系构建[J].中国卫生质量管理,2023,30(05):066-70.[doi:10.13912/j.cnki.chqm.2023.30.5.14 ]
　WU Yao,WANG Danxin,XIE Bijiao.Construction of Fall Risk Assessment System for Stroke Patients[J].Chinese Health Quality Management,2023,30(05):066-70.[doi:10.13912/j.cnki.chqm.2023.30.5.14 ]
点击复制

脑卒中患者跌倒风险评估体系构建
分享到：

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R]

卷:
第30卷
期数:
2023年05期
页码:
066-70
栏目:
护理质量
出版日期:
2023-05-15

文章信息/Info

Title:
Construction of Fall Risk Assessment System for Stroke Patients
作者:
吴尧王丹心谢碧姣林晓丽谭绍英王涛
海南医学院国际护理学院
Author(s):
WU Yao; WANG Danxin; XIE Bijiao
International Nursing School of Hainan Medical University
关键词:
脑卒中; 跌倒; 德尔菲法; 风险评估; 指标体系
Keywords:
Stroke;  Fall;  Delphi Method;  Risk Assessment;  Indicator System
分类号:
R197.323；R741；R47
DOI:
10.13912/j.cnki.chqm.2023.30.5.14
文献标志码:
A
摘要:
目的构建脑卒中患者跌倒风险评估体系，为开发脑卒中患者跌倒风险预测模型提供依据。方法通过文献分析法和专家小组讨论法拟定指标条目池，经过两轮专家函询筛选指标，依据重要性评分算术平均数确定指标权重。结果最终构建包括6个一级指标和31个二级指标的脑卒中患者跌倒风险评估体系。两轮函询专家积极系数分别为86.67%和100%，专家平均权威系数为0.91，第二轮函询一级、二级指标Kendall’s W系数分别为0.203、0.344。结论评估体系具有一定科学性和可靠性，可为脑卒中患者跌倒风险评估提供科学、有效的工具。
Abstract:
ObjectiveTo construct an system of fall risk assessment for stroke patients, and to provide basis for the development of fall risk prediction model for stroke patients. MethodsThe index item pool was drawn up through literature analysis and expert group discussion. After two rounds of expert correspondence consultation, indicators were screened, and index weights were determined according to the arithmetic mean of importance scores.ResultsFinally, a fall risk assessment system for stroke patients was constructed, including 6 primary indexes and 31 secondary indexes. The positive coefficient of experts in the two rounds of correspondence consultation was 86.67% and 100%, and the average authority coefficient of experts was 0.91. Kendall's W coefficient of primary and secondary indicators in the second round of correspondence consultation was 0.203 and 0.344, respectively. Conclusion The evaluation system is scientific and reliable, and can provide a scientific and effective tool for the fall risk assessment of stroke patients.

参考文献/References:

［1］KRUSCHKE C, BUTCHER HK. Evidence-based practice guideline: fall prevention for older adults［J］. J Gerontol Nurs, 2017,43(11):15-21. ［2］PATEL PJ, BHATT T. Fall risk during opposing stance perturbations among healthy adults and chronic stroke survivors［J］. Exp Brain Res, 2018,236(2):619-628. ［3］脑卒中后跌倒风险评估及综合干预共识专家组. 脑卒中后跌倒风险评估及综合干预专家共识［J］. 临床内科杂志, 2022,39(1):63-68. ［4］仵三娟, 杨 辉, 曹慧丽, 等. 脑卒中病人跌倒危险因素及预防策略的研究进展［J］. 护理研究, 2020,34(13):2351-2355. ［5］宋叶君, 杨 辉, 曹慧丽, 等. 脑卒中病人居家跌倒风险干预的证据汇总［J］. 护理研究, 2021,35(22):4018-4022. ［6］林哲欣, 陈妙虹, 路明霞, 等. 广东省36家医院跌倒护理质量现状调研分析［J］. 全科护理, 2017,15(6):751-753. ［7］宋玲玲, 谭美银, 梁倩婷, 等. MORSE跌倒评估量表结合跌倒因子评估在预防脑卒中患者跌倒中的应用［J］. 齐鲁护理杂志, 2020,26（1）:74-77. ［8］许剑蕾, 廖 阳. Morse跌倒评估量表预测与脑卒中康复期患者跌倒的相关性研究［J］. 护理与康复, 2020,19（6）:52-54. ［9］何文英, 黄新玲, 王 忠, 等. 基于风险矩阵的手术部位感染风险评价研究［J］. 中华医院管理杂志, 2015，31(10):764-767. ［10］王亚宁, 董 魁, 李建涛. 基于Delphi法和层次分析法构建眼科日间手术医疗质量评价指标体系［J］. 中国卫生质量管理, 2022,29(8):28-32. ［11］乔 钧, 何 方, 郑宏, 等. 老年性脑卒中后认知及肢体功能障碍康复技术新进展［J］. 实用老年医学, 2023,37(1):9-12. ［12］邹 蜜, 温贤秀, 朱世琼, 等. 多学科协作改善脑卒中患者生活质量［J］. 中国卫生质量管理, 2022,29(4):13-17. ［13］屠乐微, 赵雪萍, 王 莹. 居家养老环境风险评估体系的构建［J］. 护理学杂志, 2021,36(20):1-4. ［14］罗业飞, 杜瑶瑶, 徐慧芳, 等. 应用德尔菲法构建青年学生HIV感染风险评估指标体系［J］. 中华流行病学杂志, 2021,42(11):1918-1922. ［15］李 静, 余 茜. 成都市社区脑卒中后遗症期患者跌倒情况调查及相关因素分析［J］. 中国康复医学杂志, 2020,35(1):69-72. ［16］张文通, 孟殿怀, 许光旭, 等. 计时起立行走与最大步行速度评估脑卒中步行功能的对比分析［J］. 中华物理医学与康复杂志, 2016,38(4):246-249. ［17］唐 强, 王 雪, 李炳瑶, 等. 改良太极功法对脑卒中恢复期偏瘫患者步态平衡及跌倒效能的影响研究［J］. 中国全科医学, 2022,25(15):1857-1862. ［18］SULLIVAN R, HARDING K. Do patients with severe poststroke communication difficulties have a higher incidence of falls during inpatient rehabilitation? A retrospective cohort study［J］. Top Stroke Rehabil, 2019,26(4):288-293.

相似文献/References:

[1]张和妹,梁让,许晨耘,等.降低脑卒中吞咽障碍患者误吸率[J].中国卫生质量管理,2016,23(02):073.[doi:10.13912/j.cnki.chqm.2016.23.2.24]
[2]王妮 黄艳群 费晓璐 魏岚 陈卉.基于住院病案首页的Charlson合并症与脑卒中患者院内死亡的关系分析[J].中国卫生质量管理,2018,25(03):020.[doi:10.13912/j.cnki.chqm.2018.25.3.08]
[3]黄小钦 任怡 宋海庆 陈飞 王玉平.北京市脑卒中诊疗质控问题分析与改进[J].中国卫生质量管理,2019,26(02):043.[doi:10.13912/j.cnki.chqm.2019.26.2.14]
[4]陈晰雯曾剑英卢铭陈思远周吴平简伟研.取消药品加成对脑卒中患者费用和质量的影响研究[J].中国卫生质量管理,2021,28(05):023.[doi:10.13912/j.cnki.chqm.2021.28.5.07 ]
　CHEN Xiwen,ZENG Jianying,LU Ming.The Effect of Zero Markup Drug Policy on the Cost and Quality among Stroke Patients[J].Chinese Health Quality Management,2021,28(05):023.[doi:10.13912/j.cnki.chqm.2021.28.5.07 ]
[5]黄晨乐美妮李蕊吴敏徐春慧朱黎.降低高风险住院患者跌倒中重度伤害率[J].中国卫生质量管理,2021,28(09):062.[doi:10.13912/j.cnki.chqm.2021.28.9.17 ]
　HUANG Chen,LE Meini,LI Rui.Reduce the Rate of Moderate to Severe Injuries from Falls in High-Risk Inpatients[J].Chinese Health Quality Management,2021,28(05):062.[doi:10.13912/j.cnki.chqm.2021.28.9.17 ]
[6]邹蜜温贤秀朱世琼毛孝容雷花黄丽.多学科协作改善脑卒中患者生活质量[J].中国卫生质量管理,2022,29(04):013.[doi:10.13912/j.cnki.chqm.2022.29.4.04 ]
　ZOU Mi,WEN Xianxiu,ZHU Shiqiong.Multi-Disciplinary Team to Improve Quality of Life in Stroke Patients[J].Chinese Health Quality Management,2022,29(05):013.[doi:10.13912/j.cnki.chqm.2022.29.4.04 ]
[7]贺婷婷李巧冯蓓梁亚红谢朝霞谢小敏.HDFS量表和SFSTC量表对住院患儿跌倒风险预测价值比较[J].中国卫生质量管理,2022,29(07):067.[doi:10.13912/j.cnki.chqm.2022.29.7.17 ]
　HE Tingting,LI Qiao,FENG Bei.Comparison of the Predictive Value of HDFS Scale and SFSTC Scale on the Fall Risk of Hospitalized Children[J].Chinese Health Quality Management,2022,29(05):067.[doi:10.13912/j.cnki.chqm.2022.29.7.17 ]
[8]叶全伟杨肖光叶丽萍刘静周萍.基于文本挖掘技术的脑卒中文献计量分析：以PubMed数据库为例[J].中国卫生质量管理,2023,30(03):025.[doi:10.13912/j.cnki.chqm.2023.30.3.05 ]
　YE Quanwei,YANG Xiaoguang,YE Liping.Bibliometric Analysis of Literature on Stroke Based on Text Mining: a Case Study of PubMed Database[J].Chinese Health Quality Management,2023,30(05):025.[doi:10.13912/j.cnki.chqm.2023.30.3.05 ]
[9]陈媛 林碧霞 陈瑞娥 李开新 蔡真真 聂伟琳 吴林静.住院患者跌倒预防护理决策支持系统的开发与应用[J].中国卫生质量管理,2024,31(07):012.[doi:10.13912/j.cnki.chqm.2024.31.7.03]
　CHEN Yuan,LIN Bixia,CHEN Ruie.Development and Application of Nursing Decision Support System for Inpatient Fall Prevention[J].Chinese Health Quality Management,2024,31(05):012.[doi:10.13912/j.cnki.chqm.2024.31.7.03]

更新日期/Last Update: 2023-05-15