Understanding the Determinants of Implementing Telehealth Systems: A Combined Model of the Theory of Planned Behavior and the Technology Acceptance Model

Chang, Yung-Zung; Ko, Chou-Yuan; Hsiao, Chia-Jen; Chen, Ruey-Juen; Yu, Chen-Wei; Cheng, Yu‐Wen; Chang, Tsui-Fen; Chao, Cheng-Min

doi:10.3923/jas.2015.277.282

Cited by 17 publications

(20 citation statements)

References 21 publications

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“…46 These were measured at the intervention group with a questionnaire inspired by the Technology Acceptance Model (TAM), 47 which has been repeatedly used in tele-health. 48,49 User acceptance included six dimensions, in terms of how easy to use, interesting, scary, pleasant and stimulating the system was and how it fits in daily life. Perceived usefulness included five dimensions: increased motivation to exercise, feeling of being safe during exercise, feeling of keeping HR within ranges, increased motivation due to the feedback and better compliance due to the feedback.…”

Section: Methodsmentioning

confidence: 99%

An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

et al. 2017

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Introduction: Home-based programmes for cardiac rehabilitation play a key role in the recovery of patients with Coronary Artery Disease. However, their necessary educational and motivational components have been rarely implemented with the help of modern mobile technologies. We developed a mobile health system designed for motivating patients to adhere to their rehabilitation programme by providing exercise monitoring, guidance, motivational feedback, and educational content. Methods: Our multi-disciplinary approach is based on mapping "desired behaviours" into specific system's specifications, borrowing concepts from Fogg's Persuasive Systems Design principles. A randomised controlled trial was conducted to compare mobile-based rehabilitation (55 patients) versus standard care (63 patients). Results: Some technical issues related to connectivity, usability and exercise sessions interrupted by safety algorithms affected the trial. For those who completed the rehabilitation (19 of 55), results show high levels of both user acceptance and perceived usefulness. Adherence in terms of started exercise sessions was high, but not in terms of total time of performed exercise or drop-outs. Educational level about heart-related health improved more in the intervention group than the control. Exercise habits at 6 months follow-up also improved, although without statistical significance. Discussion: Results indicate that the adopted design methodology is promising for creating applications that help improve education and foster better exercise habits, but further studies would be needed to confirm these indications.

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Section: Methodsmentioning

confidence: 99%

An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

et al. 2017

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“…As Roghanizad [8] argues, individuals are usually highly effective at understanding the dynamics of trust in their everyday lives and our participants gave us a clear explanation of their choices around self-trust and technology. The participant's responses reflect the notion of 'functional advantage' (outlined in technology acceptance models see [16]). Users of technology are not inherently loyal to one form of technology or mode of interaction, the decision depends upon what is on offer.…”

Section: Discussionmentioning

confidence: 96%

“…Users of technology are not inherently loyal to one form of technology or mode of interaction, the decision depends upon what is on offer. Users are aware of the possibilities technology offers and want to use what works better for their particular context [16]. In the responses provided by the participants, we see them weigh up how technology can help or hinder them express their self-trust and also gain the trust of their peers.…”

Section: Discussionmentioning

confidence: 97%

Self-trust, Self-efficacy and Digital Learning

Dwyer

Marsh

2017

Trust Management XI

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Self-trust is overlooked in trust research. However, self-trust is crucial to a learner's success in a digital learning space. In this paper, we review self-trust and the notion of self-efficacy used by the education researchers. We claim self-efficacy is self-trust. We then explore what self-trust and its expression means to one group of learners and use this data to provide design suggestions for digital learning spaces that improve students' self-trust.

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“…Participants completed the valid and reliable Theory of Planned Behavior and Technology Acceptance Model (TPB-TAM) tool. 23 The TPB-TAM tool contains 6 constructs that are scored on a 7-point Likert scale (1 ¼ strongly agree, 7 ¼ strongly disagree; a score of 3 indicates positive planned behavior). 23 The 6 constructs of the TPB-TAM are attitude, subjective norms, perceived behavioral control, perceived usefulness, perceived ease of use, and behavioral intention, which are predictors from each of the 2 theoretical concepts.…”

Section: Instrumentationmentioning

confidence: 99%

Telemedicine Experiences of Athletic Trainers and Orthopaedic Physicians for Patients With Musculoskeletal Conditions

Winkelmann

Eberman

Games

2020

Journal of Athletic Training

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Context Telemedicine is the delivery of medical care from a distance using technology. The integration of telemedicine as a supplement to musculoskeletal-based patient encounters may be feasible in sports medicine. Objective To investigate health care professionals' perceptions of and experiences with telemedicine. Design Cross-sectional explanatory sequential mixed-methods study. Patients or Other Participants A purposeful sample of 17 athletic trainers from a National Collegiate Athletic Association Division 1 institution and 5 orthopaedic physicians from a sports medicine clinic located 92 miles from the campus. Intervention(s) Participants were trained on the telemedicine platform and used it over 5 months for initial, follow-up, and discharge patient encounters. Main Outcome Measure(s) Participants completed a preintervention survey containing the Theory of Planned Behavior and Technology Acceptance Model tool. Responses were analyzed using descriptive statistics and an independent-samples t test. After the intervention period, participants completed individual semistructured interviews that we coded using the consensual qualitative research tradition. Results From the interviews, the clinicians were characterized as telemedicine adopters (n = 14) or nonadopters (n = 8). The adopters reported higher levels of agreement on the Theory of Planned Behavior and Technology Acceptance Model tool as compared with nonadopters for all constructs. When comparing adoption status, we identified a difference (P < .01), with nonadopters reporting a low level of agreement for the subjective norm construct. The interviews revealed 5 domains: integration challenges, integration opportunities, collaborative practice, anticipatory socialization to future use, and benefits of integration. The participants indicated that integration challenges centered on “buy in,” whereas opportunities aligned with the patient's condition and technology ease of use. They reflected that the telemedicine encounters required more preparation and yet allowed for cooperative behaviors between clinicians. The benefits of telemedicine included convenience and scheduling preferences that encouraged future use. Conclusions The integration of telemedicine in sports medicine brought about both challenges and opportunities for collaboration among athletic trainers and physicians that were heavily predetermined by the social pressures of colleagues.

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Understanding the Determinants of Implementing Telehealth Systems: A Combined Model of the Theory of Planned Behavior and the Technology Acceptance Model

Cited by 17 publications

References 21 publications

An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

Self-trust, Self-efficacy and Digital Learning

Telemedicine Experiences of Athletic Trainers and Orthopaedic Physicians for Patients With Musculoskeletal Conditions

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