e.g. mhealth
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(n=36)
Usual care (n=18)
Telemonitoring physical exercise (n=160)
Waitlist control (n=154)
Intervention (n=29)
Control (n=28)
Intervention (n=72)
Control (n=76)
Standard (n=14)
Technology (n=12)
Enhanced technology (n=13)
Intervention (n=30)
Smartphone + health coach (n=31)
Control (n=31)
App (n=38)
Booklet (n=39)
Remote PA and diet (n=250)
Remote PA (n=250)
Control (n=250)
Intervention (n=39)
Control: lifestyle booklet (n=39)
Telerehabilitation program (n=25)
Usual care (n=25)
m Health intervention (n=26)
Control
Interact J Med Res 2025;14:e73656
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This is an important finding, as end-user involvement is considered a critical success factor in information technology projects [66-69]. A Finnish study revealed that younger physicians were more eager to participate in health information system development compared to their older counterparts [70].
JMIR Med Educ 2025;11:e67423
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The NASSS framework was selected due to its ability to capture the multifaceted nature of technology implementation in health and care settings. It considers multiple levels of analysis to predict and evaluate the success of technology implementation and adoption.
J Med Internet Res 2025;27:e64616
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, or social participation for users)
Ageism toward older people and technology, including them learning how to use technology
Technology to see what resources or assets are available in the community (eg, grocery delivery and volunteer services)
Power in organizing a “collective idea or request” that supports collective learning and support for integrating technology solutions into living environments
Having people in your building or community who can help and whom you can trust
Building community and technology
JMIR Aging 2025;8:e71093
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The score ranges from 1.0 to 5.0, with higher scores indicating greater technology readiness. For interpretation, readiness levels were categorized as follows: low (
Section three focused on the technology acceptance model (TAM), originally developed by Davis [21] and adapted by the researcher of this study. This section included 16 items grouped into 3 key constructs to measure technology acceptance: Perceived usefulness (6 items), perceived ease of use (6 items), and intention to use (4 items).
JMIR Nursing 2025;8:e71653
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With a growing sophistication of the technology and the potential for preventable adverse events related to CIED dysfunctionality in the perioperative period [3], there is a need for anesthesiology trainees to gain the knowledge and skills necessary to manage CIEDs perioperatively [4].
Despite an increased exposure of anesthesiology trainees to patients with CIEDs, and the availability of anesthesiology-led CIED services [5], there have not been formal curricula to educate trainees on this complex subject.
JMIR Med Educ 2025;11:e60087
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During the on-site preintervention visit, demographic data, general cognitive performance (assessed using the Mo CA Score), and technology readiness were evaluated. Questions on technological readiness included the duration, modality, and frequency of smartphone use (Multimedia Appendix 1).
Participants then downloaded the study app, Mobile Coach, and received 2 weeks of JITAI promoting healthy lifestyle behaviors through their CA.
JMIR Form Res 2025;9:e66885
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Reference 45: (https://www.england.nhs.uk/long-read/supporting-clinical-decisions-with-health-information-technologytechnology
JMIR Form Res 2025;9:e67608
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This understanding will help facilitate the adoption of new technology, ultimately improving patient care and reducing the burden of urinary issues on health care systems. Health care professionals are the gatekeepers of technology implementation in clinical settings. Their acceptance is essential for technology to be successfully integrated into workflows, adopted by patients, and sustained over time.
JMIR Form Res 2025;9:e73453
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Across clinical practice, research, and the technology industry, interest in using digital mental health innovations has increased significantly [3-5]. These innovations hold promise in addressing long-standing and emerging challenges in mental health clinical care that persist around the world, such as limited access to care, health human resource challenges, care inequities, and a rising demand for timely and personalized interventions and treatments [6].
JMIR Ment Health 2025;12:e78791
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