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护理学报 ›› 2024, Vol. 31 ›› Issue (24): 44-50.doi: 10.16460/j.issn1008-9969.2024.24.044

• 循证护理 • 上一篇    下一篇

基于传感器技术的智能康复设备在脑卒中患者步态康复应用效果的Meta分析

周春香1, 饶媛2, 崔梦娇3, 商芷颖4, 张天岚5, 裘奚晨卉6, 秦艳萍1   

  1. 1.南京市溧水区人民医院 神经外科, 江苏 南京 211200;
    2.湖南省女子强制隔离戒毒所, 湖南 长沙 410208;
    3.南京鼓楼医院 急诊科, 江苏 南京 210000;
    4.南京医科大学护理学院, 江苏 南京 211266;
    5.江苏大学附属鼓楼临床医学院, 江苏 南京 210000;
    6.深圳大学医学部护理学院, 广东 深圳 518055
  • 收稿日期:2024-08-04 出版日期:2024-12-25 发布日期:2025-01-09
  • 通讯作者: 秦艳萍（1988-）,女,江苏南京人,本科学历,主管护师,护士长。Email：13951741074@163.com
  • 作者简介:周春香（1982-）,女,江苏南京人,本科学历,主管护师,护士长。
  • 基金资助:
    2024年“江苏科技智库计划(青年)项目”（JSKX24028）;国家卫生健康委医院管理研究所“重症智能护理机器人系统研发”项目协作单位课题（HLJORS_2023A02）;南京大学现代医院管理与发展研究所课题（NDYG2021017）

Application effect of sensor technology-based intelligent devices in gait rehabilitation of stroke patients: a Meta-analysis

ZHOU Chun-xiang1, RAO Yuan2, CUI Meng-jiao3, SHANG Zhi-ying4, ZHANG Tian-lan5, QIU Xi-chenhui6, QIN Yan-ping1   

  1. 1. Dept. of Neurological Surgery, Lishui District People's Hospital, Nanjing 211200, China;
    2. Female Drug Rehab Center of Hunan Province, Changsha 410208, China;
    3. Dept. of Emergency, Nanjing Drum Tower Hospital, Nanjing 210000, China;
    4. School of Nursing, Nanjing Medical University, Nanjing 211266, China;
    5. Drum Tower Clinical Medical College Affiliated to Jiangsu University, Nanjing 210000, China;
    6. School of Nursing, Shenzhen University Medical School, Shenzhen 518055, China
  • Received:2024-08-04 Online:2024-12-25 Published:2025-01-09

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摘要： 目的 本文旨在评价具备传感技术的智能康复设备对脑卒中患者步态康复的干预效果,以期为卒中患者的临床护理提供依据。方法 计算机系统检索中国知网、维普、万方、PubMed、Web of Science、CINAHL、Cochrane Library、Embase 8个中英文数据库中应用具备传感技术的智能康复设备对脑卒中患者步态康复的随机对照试验,检索时限为建库至 2024年8月,获取原始文献经EndNote软件去重后由2名经过循证护理培训的研究者独立筛选文献、提取资料、评价纳入研究的偏倚风险后,采用RevMan 5.4软件进行统计分析。结果 共纳入10篇原始研究,总计329例脑卒中患者,Meta分析结果显示,传感器技术有助于脑卒中患者的步态康复,可改善患者平衡控制能力[SMD=0.74,95%CI（0.23,1.25）,P<0.05]、行走能力[SMD=0.67,95%CI（0.26,1.09）,P<0.05]、步态功能[SMD=0.47,95%CI（0.15,0.79）,P<0.05]。但对于步行速率的影响差异无统计学意义[SMD=1.13,95%CI（-0.31,2.57）,P=0.12]。结论 传感器技术对于脑卒中患者步态康复有益,包括平衡控制能力、步行能力和步态功能,但对于步行速率的价值尚不明确,未来仍需进行高质量的研究验证以上结论。

关键词: 传感器, 脑卒中, 康复, 护理, Meta分析

Abstract: Objective To evaluate the intervention effect of sensor technology-based intelligent devices on gait rehabilitation in stroke patients, and to provide evidence for clinical nursing of stroke patients. Methods Randomized controlled trials (RCTs) on sensor technology-based intelligent devices for gait rehabilitation in stroke patients were retrieved from CNKI, VIP, Wanfang, PubMed, Web of Science, CINAHL, Cochrane Library, and Embase and the retrieval time spanned from the inception to August 2024. After deduplication using Endnote software, two researchers with evidence-based nursing training screened the literature, extracted the data, and assessed the risk of bias in included studies independently. Statistical analysis was conducted using RevMan 5.4 software. Results A total of 10 original studies were included, with 329 stroke patients. Meta-analysis Results showed that sensor technology was conducive to gait rehabilitation of stroke patients, and could improve patients' balance control ability[SMD=0.74, 95%CI（0.23, 1.25）, P<0.05], walking ability[SMD=0.67, 95%CI（0.26, 1.09）, P<0.05], gait function [SMD=0.47, 95%CI (0.15, 0.79), P<0.05]. However, there was no significant difference in the impact on walking rate [SMD=1.13, 95%CI (-0.31, 2.57), P=0.12]. Conclusion Sensor technology facilitates gait rehabilitation in stroke patients, including balance control, walking ability, and gait function. However, the impact on gait speed remains unclear, requiring further high-quality research to verify the conclusion.

Key words: sensor, stroke, rehabilitation, nursing, Meta-analysis

中图分类号: 

  • R473.74
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