e.g. mhealth
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Data on acceptance (willingness to adopt) and perceived influence of telehealth barriers were also collected both before and after the intervention using standardized scales. Finally, the participants rated their satisfaction with the course.
We measured specific telehealth experiences and acceptance using a classification system based on the work of Colucci et al [14].
JMIR Hum Factors 2025;12:e74107
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This study aimed to investigate the acceptance of m Health interventions among female patients affected by hypothyroidism and factors contributing to such acceptance as a means of improving their quality of life. In addition, questions regarding the lack of m Health interventions implemented in consideration of their acceptance and contributing factors of such acceptance have thus far remained unanswered. In doing so, we used an extended UTAUT model.
JMIR Form Res 2025;9:e67317
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Previous research has mainly focused on demonstrating the effectiveness of standard care [6-8], with less attention given to issues such as the implementation process and acceptance [2].
Insight into the acceptance of telerehabilitation in different settings is critical as it serves as a prerequisite for using new technologies [9].
JMIR Rehabil Assist Technol 2025;12:e68766
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E-Mental Health Interventions in Inpatient Care: Scoping Review
In the context of technology, acceptance can be defined as the use of a technological system resulting from a positive attitude towards it [26]. The Unified Theory of Acceptance and Use of Technology (UTAUT) considers intention to use to be indicative of acceptance [27].
J Med Internet Res 2025;27:e65947
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Table 3 presents participants’ levels of acceptance regarding various dimensions of technology use. A majority (187/322, 58.1%) exhibited high acceptance in terms of perceived usefulness of technology, while 29.2% (94/322) showed moderate acceptance and 12.7% (41/322) reported low acceptance in this domain. Regarding perceived ease of use, about half of the participants reported low acceptance, whereas 25.2% (81/322) and 18.6% (60/322) showed moderate and high acceptance, respectively.
JMIR Nursing 2025;8:e71653
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There are several approaches for measuring the acceptance of technical innovations, including the Technology Acceptance Model (TAM) [40,41] and the Unified Theory of Acceptance and Use of Technology (UTAUT) [42], which have been predominantly used in previous studies, including in the health care sector [43-45].
J Med Internet Res 2025;27:e70487
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Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study
By integrating the technology acceptance model (TAM) and additional external factors, the study seeks to evaluate the effectiveness of Io T as an educational tool from the perspectives of both students and educators. Using the TAM as a metric, along with external variables, the research intends to identify and analyze the factors that influence the acceptance and use of Io T in medical education.
JMIR Hum Factors 2025;12:e58377
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The troubles and negative impacts of DCT at different stages of use on older adults with MCI, as well as the intrinsic reasons for transitioning from initial acceptance to discontinuous use, have not been adequately explored.
Therefore, from the perspective of this study, continuous and effective usage is key to the successful implementation of DCT programs.
J Med Internet Res 2025;27:e66393
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Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review
Physician autonomy has been found to play a role in physician acceptance and adoption of medical technologies [3], and in particular, AI [1]. Although physician autonomy has become an increasingly important concept in recent decades [4-7], there is still no consensus definition in the literature. However, physician autonomy is generally seen as including both clinical freedoms, as well as social and economic freedoms [6,7].
JMIR AI 2025;4:e59295
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As it is known that existing habits are important predictors of technology acceptance [17], this need to change habits can become a threat for sustained clinical implementation of ESM tools. Furthermore, some clients reported negative reactivity to self-monitoring, which was associated with less interest in using the tool again. Other studies also found that while self-monitoring can be motivating and helpful, it can also become a stressful activity that clients feel obliged to comply with [31].
JMIR Hum Factors 2025;12:e60096
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