Factors influencing behavior intentions to telehealth by Chinese elderly: An extended TAM model

Min, Zhou; Zhao, Lindu; Kong, Nan; Campy, Kathryn S.; Qu, Shujuan; Wang, Song

doi:10.1016/j.ijmedinf.2019.04.001

Cited by 142 publications

(171 citation statements)

References 48 publications

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“…In addition, recent Chinese, Thai and Asian studies have confirmed the influence of the aforementioned variables, particularly attitude toward use on behavioral intention to use online mental health services and the relevant digital behaviors according to the theory of planning behavior and the extended technology acceptance model (Alzahrani, Mahmud, Ramayah, Alfarraj, & Alalwan, ; Anthony, Papautsky, & Isola, ; Naglis & Bhatiasevi, ; Zhou et al, ).…”

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confidence: 91%

The prediction of behavioral intention to use online mental health interventions

2020

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This cross-sectional study addresses two important contributions to understanding behavioral intention to use online mental health interventions: (a) to investigate the proposed behavioral intention model in predicting the use of online mental health interventions, and (b) to compare the proposed behavioral intention model in predicting the use of online mental health interventions between Chinese and Thai patients and between healthy individuals and those with mental health disorders. The samples included 250 Chinese respondents and 251 Thai respondents. Data were collected using Likert questionnaires with a reliability of 0.75 to 0.95 and analyzed via confirmatory factor analysis and multigroup structural equation modeling. The structural model of behavioral intention to use online mental health intervention was shown the significant acceptances on indices in overall group. However, the result did not enhance the previous literature review according to the proposed behavioral intention model. Most latent variables in this study did not show an influence on behavioral intention to use online mental health services. Individual characteristics, particularly mental health literacy, only significantly predicted behavioral intention to use online mental health interventions. However, significant influences in some observed variables were detected, such as informational support and emotional support in social support, including media and the general public in social influence. Comparing the multigroup model, no difference in the causal relationship model between Chinese and Thai patients was found, but a difference between healthy individuals and those with mental health disorders, especially individual characteristics to behavioral intention path and social support to attitude toward use path, was found. Results highlight the benefits of further development and patient education of online mental health services in the future.

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confidence: 91%

The prediction of behavioral intention to use online mental health interventions

2020

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“…It shows that elderly users attach great importance to the benefits expected from the use of technology products. Therefore, when developing and designing gerontechnology products and services, it is important to consider whether the products and services can meet the following needs of seniors: Social interaction (enhancing communication with friends and reducing loneliness) [27]; health care (helps understand and improve personal health and access to more health resources) [26]. In addition, EE (r = 0.189) and PEOU (r = 0.184) have significant effects on BI.…”

Section: Discussionmentioning

confidence: 99%

“…Relevant personnel are reminded that when designing technical products for the elderly, it is particularly necessary to consider reducing the difficulty of system operation of the product [24]. As well as the time and economic costs required during use (reducing the time of diagnosis and treatment, reducing medical costs) [26]. For example, through the product, the seniors can easily interact with others and doctors anytime, anywhere.…”

Section: Discussionmentioning

confidence: 99%

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Exploring the Systematic Attributes Influencing Gerontechnology Adoption for Elderly Users Using a Meta-Analysis

et al. 2020

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This study aims to explore the key systematic attributes influencing the acceptance of gerontechnology by seniors in response to global aging and rapid technological progress. A meta-analysis was carried out to quantitatively synthesize the results of 25 empirical studies published from 2010 to 2020. After standardized coding and descriptive statistics, as well as tests and analysis of main effects and heterogeneity, publication bias. The following results were obtained: Perceived usefulness and perceived ease of use have a significant positive impact on the user’s attitude and behavioral intention; performance expectancy, effort expectancy, trust, technical performance and subjective norm have a significant positive correlation with the user’s behavioral intention; social influence, facilitating conditions have a positive correlation with the user’s behavioral intention; anxiety has a significant negative correlation to the user’s behavioral intention. The key systematic influencing attributes are classified into three categories: (1) User individual characteristics; (2) product and technical characteristics; and (3) environmental characteristics. This study provides researchers and practitioners with a systematic evidence-based basis to reduce the gap in decision-making for gerontechnology practices.

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“…The evolution and revolution in Information and Communication Technologies (ICT), which recently led to notable economic and social changes. It will only increase the pace as we apply management interventions and controls for better acceptance and assimilation of ICT [1]. Education at all levels, and especially at the university level, is structured by the constant advances in the field of digital communications and educational technology.…”

Section: Introductionmentioning

confidence: 99%

Model of adoption of Information and Communication Technologies of the Universities case of study Technical University of Cotopaxi Latacunga -Ecuador

Chisag

Gamboa

2020

WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION

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This investigation is part of a development model to adopt the information and Communication Technologies (ICT) to the teaching-learning process at the Technical University of Cotopaxi. Specifically, to improve the higher education, as a result of the steady advances in the field of digital knowledge and educational technology, for that reason, the Institutions must improve their academic organization and education processes. Through the use of technologies, educational institutions try to integrate information and innovation. In this context and reviewing the problem case through the application of the ICT new Acceptance Model, the student's teaching-learning process will improve. The investigation showed the expected results with the creation of the latest ICT adoption model. Using collaborative tools within a collaborative learning environment (CLE) to elaborate constructs Cronbach's alpha, variance, and correlations and the statistical software were used as the Minitab validated the hypotheses.

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Factors influencing behavior intentions to telehealth by Chinese elderly: An extended TAM model

Cited by 142 publications

References 48 publications

The prediction of behavioral intention to use online mental health interventions

The prediction of behavioral intention to use online mental health interventions

Exploring the Systematic Attributes Influencing Gerontechnology Adoption for Elderly Users Using a Meta-Analysis

Model of adoption of Information and Communication Technologies of the Universities case of study Technical University of Cotopaxi Latacunga -Ecuador

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