智能穿戴在老年高血压患者健康管理中的应用
Application of Smart Wearables in Health Management for Elderly Patients with Hypertension
杜雅芹 1李菁媛2
作者信息
- 1. 锦州医科大学附属第一医院病理科
- 2. 锦州医科大学附属第一医院临床药学科,辽宁 锦州 121000
- 折叠
摘要
目的 探讨智能穿戴对老年高血压患者管理和改善身体健康、心理健康和生活方式的影响.方法 选择锦州市合计18 个试验社区124 例老年高血压患者,随机分为对照组和试验组,对照组进行健康教育,试验组进行智能穿戴干预,干预时间均为6 个月.观察比较两组患者治疗率和血压控制率、实际健康状况(SF-36 量表)和自我管理行为(HPSMBRS评分量表).结果 试验组血压控制率为 87.10%、生活质量总分(606.92±30.04)和疾病自我管理行为总分(117.46±7.02)优于对照组血压控制率69.35%、生活质量总分(560.89±32.10)和疾病自我管理行为总分(110.08±5.41),差异有统计学意义(P<0.05).结论 智能穿戴改善老年高血压患者服药依从性等生活习惯,提高患者的身心健康状况和疾病自我管理行为,普遍应用效果值得期待.
Abstract
Objective To explore the impact of smart wearables on the management and improvement of physical and psychologi-cal health,as well as lifestyle of elderly patients with hypertension.Methods A total of 124 elderly hypertensive patients from 18 ex-perimental communities in Jinzhou City were randomly divided into control group and experimental group.The control group received health education,and the experimental group received smart wearable intervention.The intervention time was 6 months.The treatment rate,blood pressure control rate,actual health status(SF-36 scale)and self-management behavior(HPSMBRS score scale)of the two groups were observed and compared.Results Blood pressure control rate(87.10%),total score of quality of life(606.92±30.04)and total score of disease self-management behavior(117.46±7.02)in test group were better than those in control group(69.35%),in which the total score of quality of life(560.89±32.10)and total score of disease self-management behavior(110.08±5.41).The difference was statistically significant(P<0.05).Conclusion Smart wearables can improve the living habits of elderly hypertensive patients such as medication compliance,enhance patients'physical and mental health status and disease self-management behavior.The effect of universal application is worthy of expectation.
关键词
智能穿戴/老年高血压/健康管理/血压Key words
smart wearables/elderly hypertension/health management/blood pressure引用本文复制引用
基金项目
辽宁省教育科学规划课题一般项目(十四五)(2022)(JG22DB269)
出版年
2024
NETL
NSTL
万方数据