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Perspectives of Adolescents and Young Adults With Inflammatory Bowel Disease on a Biopsychosocial Transition Intervention: Qualitative Interview Study

Perspectives of Adolescents and Young Adults With Inflammatory Bowel Disease on a Biopsychosocial Transition Intervention: Qualitative Interview Study

Because if you're talking about something like a conversation, it’s better to learn it in its application and learn to try to say things yourself rather than knowing that you have to do something like, “oh, I should say that, I should do this”. Being forced to deal with some of the discomfort that might come along with the conversations and practicing that would be beneficial. Finally, participants advocated for group-based education sessions (either in person or online) to support their learning.

Brooke Allemang, Ashleigh Miatello, Mira Browne, Melanie Barwick, Pranshu Maini, Joshua Eszczuk, Chetan Pandit, Tandeep Sadhra, Laura Forhan, Natasha Bollegala, Nancy Fu, Kate Lee, Emily Dekker, Irina Nistor, Sara Ahola Kohut, Laurie Keefer, Anne Marie Griffiths, Thomas D Walters, Samantha Micsinszki, David R Mack, Sally Lawrence, Karen I Kroeker, Jacqueline de Guzman, Aalia Tausif, Claudia Tersigni, Samantha J Anthony, Eric I Benchimol

JMIR Pediatr Parent 2025;8:e64618

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

Lee with permission from the original author. The Korean version of the SC-CII is downloadable from a website [37]. The SC-CII measures three domains of self-care: self-care maintenance (8 items), self-care monitoring (5 items), and self-care management (7 items). Each item was scored using a 5-point Likert scale (1=never or not likely, 5=always or very likely) with total scores ranging from 0 to 100.

JuHee Lee, Subin Yoo, Yielin Kim, Eunyoung Kim, Hyeran Park, Young H Sohn, Yun Joong Kim, Seok Jong Chung, Kyoungwon Baik, Kiyeon Kim, Jee-Hye Yoo

J Med Internet Res 2025;27:e62822

Factors Influencing Health Care Technology Acceptance in Older Adults Based on the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology: Meta-Analysis

Factors Influencing Health Care Technology Acceptance in Older Adults Based on the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology: Meta-Analysis

Li et al [19] found that PU had very little impact on the BI to adopt a remote health management service for older adults while Mahmood and Lee [20] reported a high influence of PU for health monitoring wearable technology. For older adults, ease of use is crucial because physical and cognitive abilities affect the acceptance and use of technology [21,22]. However, studies are conflicting.

Hyo Jun Yang, Ji-Hyun Lee, Wonjae Lee

J Med Internet Res 2025;27:e65269