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Are Older Adults Special in Adopting Public eHealth Service Initiatives? The Modified Model of UTAUT

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  • Chiung-Chih Lu
  • Tung-Fei Tsai-Lin

Abstract

With rapid aging and the spread of chronic diseases, public eHealth services are helpful tools to monitor their physiological situations and develop healthy behaviors. However, the studies on older adults adopting public eHealth services have been relatively limited. We propose a modified United Theory of Acceptance and Use of Technology (UTAUT) model, considering the unique adoption patterns of older people. Our study shows that older adults adopting patterns are influenced first by social influence (SI) and facilitating conditions (FC), then influenced by performance expectancy (PE) and effort expectancy (EE). This model includes two moderating effects of performance expectancy (PE) and effort expectancy (EE) between two external constructs of social influence (SI), facilitating conditions (FC), and older adults’ behavioral intention (BI) to adopt public eHealth services. A dataset of 510 questionnaires was collected on the use of a self-monitoring telecare device (Babybot) in Hsinchu City, Taiwan. The results demonstrate that SI and FC positively influence older adults’ adoption of public eHealth services. Furthermore, PE positively moderates the relationship between FC and BI, while EE positively moderates the relationships between FC and BI, and between SI and BI. The findings reveal that PE and EE moderate SI and FC in affecting older adults’ adoption of public eHealth services. This modified UTAUT model provides insights into the unique factors that drive older adults’ adoption behavior. This study offers valuable policy and managerial implications for promoting older adults’ adoption of public eHealth services.

Suggested Citation

  • Chiung-Chih Lu & Tung-Fei Tsai-Lin, 2024. "Are Older Adults Special in Adopting Public eHealth Service Initiatives? The Modified Model of UTAUT," SAGE Open, , vol. 14(1), pages 21582440241, February.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:1:p:21582440241228639
    DOI: 10.1177/21582440241228639
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    References listed on IDEAS

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    1. Zhao, Yang & Ni, Qi & Zhou, Ruoxin, 2018. "What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age," International Journal of Information Management, Elsevier, vol. 43(C), pages 342-350.
    2. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    3. Jining Zhou & Bo Zhang & Runhua Tan & Ming-Lang Tseng & Yaya Zhang, 2020. "Exploring the Systematic Attributes Influencing Gerontechnology Adoption for Elderly Users Using a Meta-Analysis," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
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