Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach

The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the health conditions of senior adults and reducing the burden on healthcare institutions. The study explored the effect of health improvement expectancy,...

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Main Authors: Zou Xinyan (Author), Abdullah Al Mamun (Author), Mohd Helmi Ali (Author), Long Siyu (Author), Qing Yang (Author), Naeem Hayat (Author)
Format: Book
Published: Frontiers Media S.A., 2022-10-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Zou Xinyan  |e author 
700 1 0 |a Abdullah Al Mamun  |e author 
700 1 0 |a Mohd Helmi Ali  |e author 
700 1 0 |a Long Siyu  |e author 
700 1 0 |a Qing Yang  |e author 
700 1 0 |a Naeem Hayat  |e author 
245 0 0 |a Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach 
260 |b Frontiers Media S.A.,   |c 2022-10-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2022.1016065 
520 |a The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the health conditions of senior adults and reducing the burden on healthcare institutions. The study explored the effect of health improvement expectancy, effort expectancy, price value, perceived vulnerability, health consciousness, and perceived reliability on the intention and adoption of medical wearable devices (MWD) among senior adults in China. Furthermore, a cross-sectional design was adopted, while quantitative data was collected from 304 senior adults through an online survey. A hybrid approach of partial least square structural equational modeling and artificial neural network-based analysis technique was adopted. The findings demonstrated that health improvement expectancy, perceived vulnerability, price value, and perceived reliability significantly affected the intention to adopt MWDs. Moreover, the intention to adopt MWDs significantly positively affected the actual adoption of MWDs among senior adults. Although the moderating effect of the pre-existing conditions and income between the intention to use MWDs and actual adoption of MWDs was positive, it was not statistically significant. The artificial neural network analysis has proven that perceived reliability, price value, and vulnerability are the most critical factors contributing to the intention to use MWDs. The current study offered valuable insights into the factors affecting the intention and adoption of MWDs among senior adults. Following that, theoretical and practical contributions were documented to improve the ease of use and price value for the prospective users of MWDs. The correct healthcare policies could curtail the influx of senior adults into the hospital and empower these adults to track and manage their health issues at home. 
546 |a EN 
690 |a wearable healthcare device 
690 |a intention and adoption 
690 |a unified theory of acceptance and use of technology 
690 |a senior adult 
690 |a public health 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 10 (2022) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2022.1016065/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/8eeaf6809bc24abdbc49c8bc28f1b248  |z Connect to this object online.