Examining a Model of Mobile Healthcare Technology Acceptance by the Elderly in Taiwan

Hsiao, Chun-Hua; Tang, Kai–Yu

doi:10.1080/1097198x.2015.1108099

Cited by 53 publications

(63 citation statements)

References 39 publications

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“…Perceived ease of use affected perceived usefulness and attitude, and significant paths were determined between perceived usefulness and attitude. These results correspond with the results of previous research studying elderly people’s acceptance of health care technologies [20,30]. The elderly people who considered the technology to be easy to use also perceived the posture-monitoring vest as enhancing their daily lives.…”

Section: Discussionsupporting

confidence: 88%

“…The TAM, which is one of the most frequently cited models used to explain a user’s perception of a particular form of new technology, has been applied not only to information technology but also to other contexts such as health care technology [20,21,22]. The development of a wearable instrumented vest for posture monitoring could help elderly people realize their posture and activity conditions in a timely manner.…”

Section: Methodsmentioning

confidence: 99%

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Development of a Wearable Instrumented Vest for Posture Monitoring and System Usability Verification Based on the Technology Acceptance Model

Lin

Chou

Tsai

et al. 2016

Sensors

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Body posture and activity are important indices for assessing health and quality of life, especially for elderly people. Therefore, an easily wearable device or instrumented garment would be valuable for monitoring elderly people’s postures and activities to facilitate healthy aging. In particular, such devices should be accepted by elderly people so that they are willing to wear it all the time. This paper presents the design and development of a novel, textile-based, intelligent wearable vest for real-time posture monitoring and emergency warnings. The vest provides a highly portable and low-cost solution that can be used both indoors and outdoors in order to provide long-term care at home, including health promotion, healthy aging assessments, and health abnormality alerts. The usability of the system was verified using a technology acceptance model-based study of 50 elderly people. The results indicated that although elderly people are anxious about some newly developed wearable technologies, they look forward to wearing this instrumented posture-monitoring vest in the future.

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Section: Discussionsupporting

confidence: 88%

Section: Methodsmentioning

confidence: 99%

Development of a Wearable Instrumented Vest for Posture Monitoring and System Usability Verification Based on the Technology Acceptance Model

Lin

Chou

Tsai

et al. 2016

Sensors

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“…The most common ICT application area for these comparisons was mobile technology, n ¼ 3 (33.3%). Typically, Hsiao and Tang 44 used different variables to investigate the introduction of mobile technologies from the perspective of the elderly people in Taiwan. Their results supported the validity of the TAM variables, and also the inclusion of novel factors such as perceived ubiquity, personal health knowledge, and perceived need for health care.…”

Section: Comparison Of Other Technology Acceptance Models With Tammentioning

confidence: 99%

A Systematic Review of the Technology Acceptance Model in Health Informatics

et al. 2018

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Telemedicine applications were between 1999 and 2017, the ICT application area most frequently studied using the TAM, implying that acceptance of this technology was a major challenge when exploiting ICT to develop health service organizations during this period. A majority of the reviewed articles reported extensions of the original TAM, suggesting that no optimal TAM version for use in health services has been established. Although the review results indicate a continuous progress, there are still areas that can be expanded and improved to increase the predictive performance of the TAM.

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“…In a previous patient-related research, PEOU instead of PU were found to have significantly positive impacts on their intention to adopt TM. 34,35 Our study showed that both PU and attitude had significantly positive impacts on AI. Our results in this aspect were in consistence with those of Hoque et al 36 Furthermore, we demonstrated the significant impacts of traveling cost, traveling distance, and traveling time on PU, PEOU, and AI, the key features that Hoque et al 36 did not investigate.…”

Section: Discussionmentioning

confidence: 66%

Adoption mechanism of telemedicine in underdeveloped country

Zhang

Zaman

2019

Health Informatics J

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The purpose of this study is to reveal the influential mechanism on patients’ adoption intention of telemedicine in the underdeveloped areas. Based on 896 patients’ data collected in Pakistan, we found that patients’ adoption intention is a function of traveling cost, attitudes, and perceived usefulness. High traveling cost is found to have the most significant negative influence on adoption intention. Patients with shorter distance prefer more to use telemedicine. Traveling cost, traveling time, and traveling distance have indirect influences on adoption intention through their significant impacts on perceived usefulness and perceived ease of use. Our findings indicate that geographic locations does matter during promotion of telemedicine. This study also helps identify the true barriers and facilitators to large-scale adoption of telemedicine in developing countries and reduce the gap of healthcare equity as concerned by both UN Millennium Development Goals and UN Sustainable Development Goals.

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Examining a Model of Mobile Healthcare Technology Acceptance by the Elderly in Taiwan

Cited by 53 publications

References 39 publications

Development of a Wearable Instrumented Vest for Posture Monitoring and System Usability Verification Based on the Technology Acceptance Model

Development of a Wearable Instrumented Vest for Posture Monitoring and System Usability Verification Based on the Technology Acceptance Model

A Systematic Review of the Technology Acceptance Model in Health Informatics

Adoption mechanism of telemedicine in underdeveloped country

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