ArticleDigital health
Application of standardized management and effect evaluation of chronic obstructive pulmonary disease patients using the big data center of the Internet of Things.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: 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. Methods: 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. Results: 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 ( Conclusion: 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.
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