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Characteristics of Smart Healthcare Use and Factors Related to the Non-use of Smart Healthcare among the General Population
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Purpose: This study explored the characteristics of smart healthcare use and identified the factors related to its non-use. With this objective, the study aimed to provide scientific evidence for fostering the utilization and market growth of smarthealthcare. Methods: Data were gathered through online and offline surveys of 248 adults aged 19~59. Structuredquestionnaires assessed participants' general characteristics, health, physical activity, and usage of smart healthcare. Statistical analyses were conducted using SPSS 29.0 and R 4.2.2. Results: 1) The utilization rate of smart healthcarewas 48.8%, 2) Gender and income were significant factors, with men and low-income groups being less likely to use smarthealthcare, 3) Smart healthcare use was positively associated with moderate- or high-intensity physical activity but notwith walking, 4) Wearables were the most commonly used devices, whereas limitations in data usability were the greatestbarriers, 5) The non-use of smart healthcare was linked to gender, income, and a lack of moderate- or high-intensityphysical activity. Conclusion: Smart healthcare supports moderate- or high-intensity physical activity and is influencedby demographic factors such as gender and income. Long-term research and tailored strategies are required to increasethe adoption of smart healthcare and enhance health outcomes. Efforts should focus on educating users, enhancing dataintegration and usability, and offering effective management solutions.
Abstract
Purpose: This study explored the characteristics of smart healthcare use and identified the factors related to its non-use. With this objective, the study aimed to provide scientific evidence for fostering the utilization and market growth of smarthealthcare. Methods: Data were gathered through online and offline surveys of 248 adults aged 19~59. Structuredquestionnaires assessed participants' general characteristics, health, physical activity, and usage of smart healthcare. Statistical analyses were conducted using SPSS 29.0 and R 4.2.2. Results: 1) The utilization rate of smart healthcarewas 48.8%, 2) Gender and income were significant factors, with men and low-income groups being less likely to use smarthealthcare, 3) Smart healthcare use was positively associated with moderate- or high-intensity physical activity but notwith walking, 4) Wearables were the most commonly used devices, whereas limitations in data usability were the greatestbarriers, 5) The non-use of smart healthcare was linked to gender, income, and a lack of moderate- or high-intensityphysical activity. Conclusion: Smart healthcare supports moderate- or high-intensity physical activity and is influencedby demographic factors such as gender and income. Long-term research and tailored strategies are required to increasethe adoption of smart healthcare and enhance health outcomes. Efforts should focus on educating users, enhancing dataintegration and usability, and offering effective management solutions.
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