Determinants of intention with remote health management service among urban older adults: A Unified Theory of Acceptance and Use of Technology perspective

被引:10
|
作者
Li, Wenjia [1 ]
Gui, Jingjing [1 ]
Luo, Xin [1 ]
Yang, Jidong [2 ]
Zhang, Ting [3 ]
Tang, Qinghe [4 ]
机构
[1] Univ Shanghai Sci & Technol, Coll Commun & Art Design, Shanghai, Peoples R China
[2] Shanghai Tech Univ, Sch Creat & Art, Shanghai, Peoples R China
[3] Shanghai Dianji Univ, Sch Design & Art, Shanghai, Peoples R China
[4] Tongji Univ, Shanghai East Hosp, Shanghai, Peoples R China
关键词
remote health management; behavioral intention; UTAUT; structural equation model; user experience; aging design; INFORMATION-TECHNOLOGY; PERCEIVED RISK; ADOPTION; UTAUT; TELEMEDICINE; COMMUNICATION; ARCHITECTURE; INTERNET;
D O I
10.3389/fpubh.2023.1117518
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundAlthough older adults health management systems have been shown to have a significant impact on health levels, there remains the problem of low use rate, frequency of use, and acceptance by the older adults. This study aims to explore the significant factors which serve as determinants of behavioral intention to use the technology, which in turn promotes actual use. MethodsThis study took a total of 402 urban older adults over 60 years to explore the impact of the use behavior toward remote health management (RHM) through an online questionnaire. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), the author adds four dimensions: perceived risk, perceived value, perceived interactivity and individual innovation, constructed an extended structural equation model of acceptance and use of technology, and analyzed the variable path relationship. ResultsIn this study, the factor loading is between 0.61 and 0.98; the overall Cronbach's Alpha coefficients are >0.7; The composite reliability ranges from 0.59 to 0.91; the average variance extraction ranges from 0.51 to 0.85, which shows the good reliability, validity, and discriminant validity of the constructed model. The influencing factors of the behavioral intention of the older adults to accept the health management system are: effort expectation, social influences, perceived value, performance expectation, perceived interactivity and perceived risk. Effort expectation has a significant positive impact on performance expectation. Individual innovation positively impacts performance expectation and perceived interactivity. Perceived interactivity and behavioral intention have a significant positive effect on the use behavior of the older adults, while the facilitating conditions have little effect on the use behavior. ConclusionsThis paper constructs and verifies the extended model based on UTAUT, fully explores the potential factors affecting the use intention of the older adult users. According to the research findings, some suggestions are proposed from the aspects of effort expectation, performance expectation, perceived interaction and perceived value to improve the use intention and user experience of Internet-based health management services in older adults.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Intention to Use E-Payments from the Perspective of the Unified Theory of Acceptance and Use of Technology (UTAUT): Evidence from Yemen
    Alduais, Fahd
    Al-Smadi, Mohammad O.
    ECONOMIES, 2022, 10 (10)
  • [22] What Drives IoT-Based Smart Pet Appliances Usage Intention? The Perspective of the Unified Theory of Acceptance and Use of Technology Model
    Chen, Chia-Chen
    Lin, Chia-Pei
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2024, 8 (07): : 5 - 14
  • [23] Understanding the Drivers of Wearable Health Monitoring Technology: An Extension of the Unified Theory of Acceptance and Use of Technology
    Binyamin, Sami S.
    Hoque, Md. Rakibul
    SUSTAINABILITY, 2020, 12 (22) : 1 - 20
  • [24] Modeling Awareness as the Crux in Solar Energy Adoption Intention through Unified Theory of Acceptance and Use of Technology
    Aravindan, Kalisri Logeswaran
    Thurasamy, Ramayah
    Raman, Murali
    Ilhavenil, Narinasamy
    Annamalah, Sanmugam
    Rathidevi, Arul Selvam
    MATHEMATICS, 2022, 10 (12)
  • [25] Predicting Patients' Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis
    Yousef, Consuela Cheriece
    Salgado, Teresa M.
    Farooq, Ali
    Burnett, Keisha
    McClelland, Laura E.
    Thomas, Abin
    Alenazi, Ahmed O.
    Abu Esba, Laila Carolina
    AlAzmi, Aeshah
    Alhameed, Abrar Fahad
    Hattan, Ahmed
    Elgadi, Sumaya
    Almekhloof, Saleh
    AlShammary, Mohammed A.
    Alanezi, Nazzal Abdullah
    Alhamdan, Hani Solaiman
    Khoshhal, Sahal
    DeShazo, Jonathan P.
    JMIR MEDICAL INFORMATICS, 2021, 9 (08)
  • [26] Rural households' renewable energy usage intention in Iran: Extending the unified theory of acceptance and use of technology
    Rezaei, Rohollah
    Ghofranfarid, Marjan
    RENEWABLE ENERGY, 2018, 122 : 382 - 391
  • [27] Determinants of Acceptance of Weight Management Applications in Overweight and Obese Individuals: Using an Extended Unified Theory of Acceptance and Use of Technology Model
    Baeuerle, Alexander
    Frewer, Anna-Lena
    Rentrop, Vanessa
    Schueren, Lynik Chantal
    Niedergethmann, Marco
    Lortz, Julia
    Skoda, Eva-Maria
    Teufel, Martin
    NUTRIENTS, 2022, 14 (09)
  • [28] Older people's intention to use medical apps during the COVID-19 pandemic in China: an application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model and the Technology of Acceptance Model (TAM)
    Ma, Yin
    Luo, Muyuan
    AGEING & SOCIETY, 2022,
  • [29] The intention to use short videos for health information among Chinese adults: Based on the technology acceptance model
    Liu, Junjiang
    Huang, Rui
    Ren, Jinluan
    Li, Peifan
    Wang, Pengfei
    DIGITAL HEALTH, 2025, 11
  • [30] From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China
    Luo, Jiacheng
    Zhang, Kewei
    Huang, Qianghong
    Jiang, Shan
    Pan, Younghwan
    BEHAVIORAL SCIENCES, 2025, 15 (01)