ArticleSensors (Basel, Switzerland)2022
Using Extended Technology Acceptance Model to Assess the Adopt Intention of a Proposed IoT-Based Health Management Tool.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Determinants of Behavioral Intention to Use Digital Healthcare Services: A Cross-Sectional PLS-SEM Study on the Shukhee App in Bangladesh.Health science reports · 2026Article
- Segmenting Older Adults by Their Acceptance of Digital Health Care Devices: Cross-Sectional Study Using the Augmented Technology Acceptance Model and K-Means Clustering.JMIR formative research · 2026Article
- The intention of Chinese college students to use sports smart wearable devices based on the technology acceptance model and technology readiness index.Scientific reports · 2026Article
- IoT-Based Intervention and Home Support to Address Frailty-Related Vulnerability and Well-Being in Older Adults Living in Rural Areas.Sensors (Basel, Switzerland) · 2026Article
- Understanding the role of cybersecurity in the internet of things within the health sector: an empirical study.Frontiers in public health · 2026Article
- Exploring Factors Affecting the Adoption of IoT in Healthcare: A Systematic Literature Review.Healthcare (Basel, Switzerland) · 2025Review
- From awareness to adoption: a panoramic perspective on the utilization of Internet Medical Services among Chinese patients with chronic disease.BMC health services research · 2025Article
- Seniors' attitudes and intention toward IoT enabled healthcare devices in emerging economies.Scientific reports · 2025Article
- Telehealth perceptions and associated factors among older adults with chronic conditions in Saudi Arabia: a comparative study of users and non-users.Frontiers in public health · 2025Article
- Human Factors and Organizational Issues in Health Informatics: Review of Recent Developments and Advances.Yearbook of medical informatics · 2024Review
- Article
- Factors affecting the willingness of patients with type 2 diabetes to use digital disease management applications: a cross-sectional study.Frontiers in public health · 2023Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Advancements in IoT technology contribute to the digital progress of health science. This paper proposes a cloud-centric IoT-based health management framework and develops a system prototype that integrates sensors and digital technology. The IoT-based health management tool can collect real-time health data and transmit it to the cloud, thus transforming the signals of various sensors into shared content that users can understand. This study explores whether individuals in need tend to use the proposed IoT-based technology for health management, which may lead to the new development of digital healthcare in the direction of sensors. The novelty of this research lies in extending the research perspective of sensors from the technical level to the user level and explores how individuals understand and adopt sensors based on innovatively applying the IoT to health management systems. By organically combining TAM with MOA theory, we propose a comprehensive model to explain why individuals develop perceptions of usefulness, ease of use, and risk regarding systems based on factors related to motivation, opportunity, and ability. Structural equation modeling was used to analyze the online survey data collected from respondents. The results showed that perceived usefulness and ease of use positively impacted adoption intention, Perceived ease of use positively affected perceived usefulness. Perceived risk had a negative impact on adoption intention. Readiness was only positively related to perceived usefulness, while external benefits were positively related to perceived ease of use and negatively related to perceived risk. Facilitative conditions were positively correlated with perceived ease of use and negatively correlated with perceived risk. Technical efficacy was positively related to perceived ease of use and perceived usefulness. Overall, the research model revealed the cognitive mechanism that affects the intention of individuals to use the system combining sensors and the IoT and guides the digital transformation of health science.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.