IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p3247-d1066483.html
   My bibliography  Save this article

Behavioral Interpretation of Willingness to Use Wearable Health Devices in Community Residents: A Cross-Sectional Study

Author

Listed:
  • Jiaxin Chen

    (School of Nursing, Nanjing Medical University, Nanjing 211166, China
    These authors contributed equally to this work.)

  • Ting Li

    (Geriatric Hospital of Nanjing Medical University, Nanjing 210009, China
    These authors contributed equally to this work.)

  • Hua You

    (School of Public Health, Nanjing Medical University, Nanjing 211166, China)

  • Jingyu Wang

    (School of Public Health, Nanjing Medical University, Nanjing 211166, China)

  • Xueqing Peng

    (Chengdu Center for Disease Control and Prevention, Chengdu 610041, China)

  • Baoyi Chen

    (MaiGaoQiao Community Health Service Center, Nanjing 210028, China)

Abstract

Wearable health devices (WHDs) have become increasingly advantageous in long-term health monitoring and patient management. However, most people have not yet benefited from such innovative technologies, and the willingness to accept WHDs and their influencing factors are still unclear. Based on two behavioral theories: the theory of planned behavior (TPB) and the diffusion of innovation (DOI), this study aims to explore the influencing factors of willingness to use WHDs in community residents from the perspective of both internal and external factors. A convenience sample of 407 community residents were recruited from three randomly selected Community Health Service Centers (CHSCs) in Nanjing, China, and were investigated with a self-developed questionnaires. The mean score of willingness to use WHDs was 17.00 (range 5–25). In the dimensions of TPB, perceived behavioral control (β = 1.979, p < 0.001) was the strongest influencing factor. Subjective norms (β = 1.457, p < 0.001) and attitudes (β = 0.651, p = 0.016) were also positively associated with willingness. In innovation characteristics of DOI, compatibility (β = 0.889, p < 0.001) and observability (β = 0.576, p = 0.003) had positive association with the willingness to wear a WHD. This study supports the applicability of the two behavioral theories to interpret the willingness to use WHDs in Chinese community residents. Compared with the innovative features of WHDs, individual cognitive factors were more critical predictors of willingness to use.

Suggested Citation

  • Jiaxin Chen & Ting Li & Hua You & Jingyu Wang & Xueqing Peng & Baoyi Chen, 2023. "Behavioral Interpretation of Willingness to Use Wearable Health Devices in Community Residents: A Cross-Sectional Study," IJERPH, MDPI, vol. 20(4), pages 1-11, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3247-:d:1066483
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/3247/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/4/3247/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Singh, Nidhi & Misra, Richa & Singh, Sonali & Rana, Nripendra P. & Khorana, Sangeeta, 2022. "Assessing the factors that influence the adoption of healthcare wearables by the older population using an extended PMT model," Technology in Society, Elsevier, vol. 71(C).
    3. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    4. Meng Zhou & Li Liu & Shu-Yan Gu & Xue-Qing Peng & Chi Zhang & Qi-Feng Wu & Xin-Peng Xu & Hua You, 2022. "Behavioral Intention and Its Predictors toward COVID-19 Booster Vaccination among Chinese Parents: Applying Two Behavioral Theories," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    5. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    6. Lee, Sang Yup & Lee, Keeheon, 2018. "Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 154-163.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    2. Manika, Danae & Dickert, Stephan & Golden, Linda L., 2021. "Check (it) yourself before you wreck yourself: The benefits of online health information exposure on risk perception and intentions to protect oneself," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    4. Liyuan Liu & Yen Hsu, 2022. "Motivating factors behind the public’s use of smart recycling systems: perceived playfulness and environmental concern," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    5. Fuyong Lu & Xian Huang & Xintao Wang, 2022. "Willingness to Pay for Mobile Health Live Streaming during the COVID-19 Pandemic: Integrating TPB with Compatibility," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    6. Maria Andersson & Ola Eriksson & Chris Von Borgstede, 2012. "The Effects of Environmental Management Systems on Source Separation in the Work and Home Settings," Sustainability, MDPI, vol. 4(6), pages 1-17, June.
    7. Tran Huy Phuong & Thanh Trung Hieu, 2015. "Predictors of Entrepreneurial Intentions of Undergraduate Students in Vietnam: An Empirical Study," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(8), pages 46-55, August.
    8. Peng Cheng & Zhe Ouyang & Yang Liu, 0. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 0, pages 1-20.
    9. Alsalem, Amani & Fry, Marie-Louise & Thaichon, Park, 2020. "To donate or to waste it: Understanding posthumous organ donation attitude," Australasian marketing journal, Elsevier, vol. 28(3), pages 87-97.
    10. Benoît Lécureux & Adrien Bonnet & Ouassim Manout & Jaâfar Berrada & Louafi Bouzouina, 2022. "Acceptance of Shared Autonomous Vehicles: A Literature Review of stated choice experiments," Working Papers hal-03814947, HAL.
    11. Kristin Thomas & Evalill Nilsson & Karin Festin & Pontus Henriksson & Mats Lowén & Marie Löf & Margareta Kristenson, 2020. "Associations of Psychosocial Factors with Multiple Health Behaviors: A Population-Based Study of Middle-Aged Men and Women," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    12. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    13. Ficko, Andrej & Boncina, Andrej, 2013. "Probabilistic typology of management decision making in private forest properties," Forest Policy and Economics, Elsevier, vol. 27(C), pages 34-43.
    14. Muhammad Shahid Qureshi & Saadat Saeed & Syed Waleed Mehmood Wasti, 2016. "The impact of various entrepreneurial interventions during the business plan competition on the entrepreneur identity aspirations of participants," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 6(1), pages 1-18, December.
    15. Julie Bayle-Cordier & Loïc Berger & Rayan Elatmani & Massimo Tavoni, 2023. "Breath, Love, Walk? The Impact of Mindfulness Interventions on Climate Policy Support and Environmental Attitudes," Sustainability, MDPI, vol. 15(13), pages 1-29, July.
    16. Szu‐Szu Ho & Rosie Stenhouse & Aisha Holloway, 2020. "Understanding HIV‐positive drug users’ experiences of taking highly active antiretroviral treatment: Identity–Values–Conscious engagement model," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(9-10), pages 1561-1575, May.
    17. Alexandre Cabagnols & Ali Maâlej & Pierre Mauchand & Olfa Kammoun, 2022. "The determinants of entrepreneurial intention of scientist PhD students: analytical vs emotional formation of the intention," Insights into Regional Development, VsI Entrepreneurship and Sustainability Center, vol. 4(4), pages 63-82, December.
    18. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    19. Carlos Bazan, 2022. "Effect of the University’s Environment and Support System on Subjective Social Norms as Precursor of the Entrepreneurial Intention of Students," SAGE Open, , vol. 12(4), pages 21582440221, October.
    20. Nouman Khurram & Umair Saeed, 2015. "Factors Influencing the Intention of People to Use Islamic Banking: An Evidence from Lahore, Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(8), pages 411-418, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3247-:d:1066483. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.