Construction and evaluation of a home rehabilitation nursing model for patients with benign paroxysmal positional vertigo based on Internet of Things technology (基于物联网技术的耳石症患者居家康复护理模式构建及效果评价)
Objective To construct a home rehabilitation nursing model for patients with benign paroxysmal positional vertigo based on Internet of Things (IoT) technology, and to verify its effect on reducing the recurrence rate of the disease and improving the quality of life. Methods A randomized controlled...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Journal of International Translational Medicine Limited
2025-06-01
|
| Series: | 中西医结合护理 |
| Subjects: | |
| Online Access: | http://www.zxyjhhl.hk/thesisDetails#10.55111/j.issn2709-1961.20250507002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Objective To construct a home rehabilitation nursing model for patients with benign paroxysmal positional vertigo based on Internet of Things (IoT) technology, and to verify its effect on reducing the recurrence rate of the disease and improving the quality of life. Methods A randomized controlled trial design was used to include 82 patients with benign paroxysmal positional vertigo after restoration, divided into the experimental group (n=41) and the control group (n=41). The experimental group applied intelligent monitoring devices (integrated head motion sensor, calcium intake recording and VR vestibular training module) to implement a 3-month home intervention, and the control group received routine health guidance. Data such as postural compliance and training completion were collected in real time through the Internet of Things platform to compare the differences in vertigo recurrence rate, SF-36 quality of life score and nursing care adherence between the two groups within 6 months after the intervention, and machine learning was used to analyze the behavioral characteristics related to the risk of recurrence. Results The vertigo recurrence rate in the experimental group was significantly lower than that in the control group (17. 07% vs. 41. 46%, P＜0. 001). The total SF-36 score was improved more significantly in the experimental group than that in the control group ( 27. 50±8. 30 vs. 5. 20±6. 70, F=35. 6, P＜0. 001). The average length of wearing sensor was (19. 20±2. 10)h daily, which was higher than preset value (18 h/d)(P＜0. 001). The median rate of completing the VR vestibular training was 92%(IQR 85%～98%), and the response time to warnings of dangerous body position was (8. 50 ± 3. 20)s. A more significant decrease of HADS was observed in the experimental group than that in the control group (4. 20 ± 1. 80 vs, 1. 10±1. 50, P＜0. 001 ). Conclusion The Internet of Things-supported home care model effectively reduces the risk of recurrence through a behavioral monitoring-real-time feedback mechanism, and its technology-driven intervention strategy provides a new pathway for the management of chronic vertigo disease. (目的 构建基于物联网技术的耳石症患者居家康复护理模式, 并验证其对降低疾病复发率及提升患者生活质量的效果。方法 采用随机对照试验设计, 纳入82例耳石症复位后患者, 分为试验组(n=41)与对照组(n=41)。试验组应用智能监测设备(集成头部运动传感器、钙摄入记录及VR前庭训练模块)实施为期3个月的居家干预, 对照组接受常规健康指导。通过物联网平台实时采集体位依从性、训练完成度等数据, 比较两组干预后6个月内的眩晕复发率、SF-36生活质量评分及护理依从性差异, 并采用机器学习分析复发风险相关行为特征。结果 干预后6个月内, 试验组复发率为17. 07%(7/41), 低于对照组的41. 46%(17/41), 差异有统计学意义(P＜0. 001)。试验组患者的生活质量(SF-36总分)较基线提高了(27. 50 ± 8. 30)分, 而对照组仅提高(5. 20 ± 6. 70)分, 差异具有统计学意义(F=35. 6, P＜0. 001)。试验组传感器日均佩戴时长为(19. 20±2. 10)h, 高于预设的18 h/d标准(P＜0. 001); VR前庭训练完成率中位数为92%(IQR 85%～98%); 危险体位预警的响应时间为(8. 50 ± 3. 20)s。试验组的焦虑评分(HADS)较基线下降(4. 20 ± 1. 80)分, 对照组仅下降(1. 10 ±1. 50)分, 组间差异有统计学意义(P＜0. 001)。结论 物联网支持的居家护理模式通过行为监测-实时反馈机制有效降低耳石症复发风险, 其技术驱动型干预策略为慢性眩晕疾病管理提供了新路径。) |
|---|---|
| ISSN: | 2709-1961 |