e.g. mhealth
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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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The effectiveness of AI technologies depends on their advanced capabilities and, more crucially, on their acceptance by health care professionals. Without their acceptance, achieving a truly successful implementation becomes only partial, leading to the largely unrealized potential of AI.
JMIR Hum Factors 2025;12:e59010
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This study aims to evaluate the usability of a portable health information kiosk that uses the SMAART framework to address the burden of NCDs by determining the usefulness, acceptance, and effectiveness of Swasthya Pahal in hospital and community settings of both rural and urban areas of Chennai, Tamil Nadu.
JMIR Res Protoc 2025;14:e39950
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The staff survey collected information on providers’ practicing behaviors and user experience, adapted by the technology acceptance model (TAM) [19]. TAM has been designed to investigate why individuals adopt a specific technology and has been widely used in different settings [20].
According to the TAM, the perceived usefulness of the technology can impact users’ behavior intention, which can be a determinant of users’ actual behaviors.
JMIR Aging 2025;8:e60506
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This study will address the following research questions: (1) What is the extent of acceptance of e–mental health apps among medical students? (2) Are there differences in acceptance among medical students based on sociodemographic and mental health data? (3) What factors predict acceptance among medical students?
A cross-sectional study was conducted to assess acceptance and to analyze drivers and barriers of tailored e–mental health apps among medical students.
JMIR Med Educ 2025;11:e58183
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This study aims to evaluate the feasibility, user acceptance, safety, and program outcomes associated with using this mobile app within our multimodal cancer prehabilitation program.
The cancer prehabilitation exercise diary incorporates a library of instructional videos demonstrating commonly prescribed exercises. These exercises are selected by a physiatrist and are customized for individual patients to ensure patient safety and efficacy.
JMIR Form Res 2025;9:e64427
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This pilot trial was designed to test the feasibility, safety, and acceptance of telehealth DBT and to prepare for a larger randomized controlled trial (RCT) of trauma-focused DBT. In order to ensure comparability with existing studies in the field, we chose to solely analyze the study arm that delivered telehealth standard (comprehensive) DBT, as developed by Marsha Linehan [12-14].
JMIR Form Res 2025;9:e66181
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Open-ended questions were asked during the interview based on a semistructured interview guide, which was developed to include guiding topics that broadly cover the factors of the Technology Acceptance Model (TAM) framework [31]. The guiding topics used for the interview discussion are presented in Table 1.
JMIR Form Res 2025;9:e63568
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