Chinese adult segmentation according to health skills and analysis of their use for smart home: a cross-sectional national survey

Autor: Feiying He, Yibo Wu, Jiao Yang, Keer Chen, Jingyu Xie, Yusupujiang Tuersun, Lehuan Li, Fangjing Wu, Yifan Kan, Yuqian Deng, Liping Zhao, Jingxi Chen, Xinying Sun, Shengwu Liao, JiangYun Chen
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: BMC Health Services Research, Vol 22, Iss 1, Pp 1-14 (2022)
Druh dokumentu: article
ISSN: 1472-6963
DOI: 10.1186/s12913-022-08126-8
Popis: Abstract Background Digital health has become a heated topic today and smart homes have received much attention as an important area of digital health. Smart home is a device that enables automation and remote control in a home environment via the internet. However, most of the existing studies have focused on discussing the impact of smart home on people. Only few studies have focused on relationship between health skills and use of smart home. Aims To analyze the health skills of Chinese adults and segment them to compare and analyze the use of smart home for each group. Methods We used data from 11,031 participants aged 18 and above. The population was clustered based on five health skills factors: perceived social support, family health, health literacy, media use, and chronic diseases self-behavioral management. A total of 23 smart homes were categorized into three sub-categories based on their functions: entertainment smart home, functional smart home, and health smart home. We analyzed demographic characteristics and utilization rate of smart home across different cluster. Each groups’ features and the differences in their needs for smart home functions were compared and analyzed. Results As a result of the survey on health skills, three groups with different characteristics were clustered: good health skills, middle health skills, and poor health skills. The utilization rate of smart home was the highest was good health skills group (total smart home: 92.7%; entertainment smart home: 61.1%, functional smart home: 77.4%, and health smart home: 75.3%; P
Databáze: Directory of Open Access Journals
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