Study on the effect of the ballistocardiography-based "Internet + Smart Bed" health management system on the quality of life of elderly users with chronic diseases.

To study the effect of the “Internet + Smart Bed” health management system (IPBS) established with ballistocardiography (BCG) technology on the quality of life of elderly patients with chronic diseases. A total of 150 users with chronic diseases who had been staying in a nursing home during the period from January 2020 to March 2021 were enrolled and divided into 2 groups for experiments. The t-test and Bayesian methods were used to establish a generalized linear regression model to evaluate the effect of the IPBS on the quality of life of the subjects in the experiment. The control group (n=71) received routine examination and daily health risk management in pension facilities. Health service workers provided daily door-to-door care, and the users received regular diet, exercise, and medication supervision and guidance. The intervention group (n=79) was composed of users with chronic diseases, who accepted the IPBS. The health service workers, in addition to implementing routine examination and health risk management, conducted continuous monitoring and intervention management of the users’ vital signs by means of the IPBS. The results obtained with the Bayesian generalized linear regression model tended to agree with those of the t-test analysis. After 15 months of follow-up in the intervention group, the rates of body function, emotion, behavior compliance (BC), and health knowledge (HK) awareness were 1.47 times, 1.75 times, 1.53 times, and 1.69 times higher than those in the control group, respectively. In the intervention group, after using the IPBS, all scores of quality of life were better than those before use, and the differences were statistically significant P=0 or P=0.1 (P<0.05). In the control group, there were no statistically significant differences before and after observation (P>0.05). Routine management in elderly users with chronic diseases by means of the IPBS, which could change the users’ bad living habits and eating habits, raise the patients’ HK awareness, and comprehensively improve the quality of life of patients with chronic diseases, is a self-health management model worthy of application and promotion.

研究基于心冲击图（BCG）技术建立的“互联网 + 智能床”健康管理系统（IPBS）对老年慢性病患者生活质量的影响。 2020年1月至2021年3月期间，共招募了150名居住在养老院的慢性病患者，并将其分为两组进行实验。采用t检验和贝叶斯方法建立广义线性回归模型，以评估IPBS对实验对象生活质量的影响。对照组（n = 71）在养老机构接受常规检查和日常健康风险管理。健康服务人员提供日常上门护理，患者接受定期的饮食、运动和用药监督与指导。干预组（n = 79）由慢性病患者组成，他们接受IPBS。健康服务人员除了实施常规检查和健康风险管理外，还通过IPBS对患者的生命体征进行持续监测和干预管理。 贝叶斯广义线性回归模型得出的结果与t检验分析结果趋于一致。干预组随访15个月后，身体机能、情绪、行为依从性（BC）和健康知识（HK）知晓率分别比对照组高1.47倍、1.75倍、1.53倍和1.69倍。在干预组中，使用IPBS后，生活质量的各项评分均优于使用前，差异具有统计学意义（P = 0或P = 0.1，P < 0.05）。在对照组中，观察前后无统计学显著差异（P > 0.05）。 通过IPBS对老年慢性病患者进行常规管理，可以改变患者的不良生活习惯和饮食习惯，提高患者的健康知识知晓率，全面提高慢性病患者的生活质量，是一种值得应用和推广的自我健康管理模式。