Chen Xiaoping, He Fei, Jiang Yan, Chen Xuezhen, Yan Yubing
Department of Medical Affairs, Xiamen Haicang Hospital, Xiamen, China.
Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Digit Health. 2024 Mar 15;10:20552076241237706. doi: 10.1177/20552076241237706. eCollection 2024 Jan-Dec.
Early detection, diagnosis, treatment and management of chronic obstructive pulmonary disease can lower morbidity and perhaps mortality. This study aimed to evaluate the effect of the application of standardized management against the background of the rapid development of the big data center of modern internet of things technology.
Participants ≥40 years of age with chronic obstructive pulmonary disease presenting at Xiamen Medical College Affiliated Haicang Hospital from October 2019 to October 2020 were selected as the observation patients based on the Internet of Things big data center for chronic obstructive pulmonary disease standardized management, and control patients from the community were selected for without down to the chronic obstructive pulmonary disease standardized management. Follow-up after 2 years of patient health records and acute episodes using the World Health Organization Quality of Life Questionnaire-Brief version to evaluate the quality of life of the two groups revealed differences.
The results of comparative analysis of the number of acute attacks before and after follow-up in the observation and control groups after propensity score matching showed that the decrease in acute episodes before and after in the observation group was significant compared with that in the control group ( = -3.664, < 0.001). The quality of life of chronic obstructive pulmonary disease patients indicated that the effect in the observation group was greater than that in the control group according to the World Health Organization Quality of Life Questionnaire-Brief version.
In this study, we analyzed the application of modern internet of things technology in the management of chronic obstructive pulmonary disease patients, discussed the effect of standardized management, and promoted the self-management of chronic obstructive pulmonary disease patients. The effectiveness and continuity of the standardized management model for chronic obstructive pulmonary disease implemented in Xiamen city based on the internet of things big data center were considered true and effective.
慢性阻塞性肺疾病的早期检测、诊断、治疗和管理可降低发病率甚至死亡率。本研究旨在评估在现代物联网技术大数据中心快速发展的背景下应用标准化管理的效果。
选取2019年10月至2020年10月在厦门医学院附属海沧医院就诊的年龄≥40岁的慢性阻塞性肺疾病患者作为观察患者,基于物联网大数据中心进行慢性阻塞性肺疾病标准化管理,选取未进行慢性阻塞性肺疾病标准化管理的社区患者作为对照患者。随访2年后,使用世界卫生组织生活质量简表评估两组患者的健康记录和急性发作情况,以揭示生活质量的差异。
倾向得分匹配后观察组和对照组随访前后急性发作次数的比较分析结果显示,观察组随访前后急性发作次数的减少幅度与对照组相比差异有统计学意义(= -3.664,<0.001)。根据世界卫生组织生活质量简表,慢性阻塞性肺疾病患者的生活质量表明观察组的效果优于对照组。
在本研究中,我们分析了现代物联网技术在慢性阻塞性肺疾病患者管理中的应用,探讨了标准化管理的效果,并促进了慢性阻塞性肺疾病患者的自我管理。基于物联网大数据中心在厦门市实施的慢性阻塞性肺疾病标准化管理模式的有效性和连续性被认为是真实有效的。