Search Articles

View query in Help articles search

Search Results (1 to 10 of 2081 Results)

Download search results: CSV END BibTex RIS


Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map

Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map

Due to the limitations of laboratory studies in terms of their observation window (min to h) and the environment (generally safe, no obstacles) [144,145]. Researchers and developers can gain a deeper understanding of the real-world impact and effectiveness of wearable devices in health monitoring [146], ultimately leading to better-designed and more impactful solutions for end users. Wearable technology may be able to support effective remote walking.

Yue Sun, Ji Chen, Mengmeng Ji, Xiaomei Li

J Med Internet Res 2025;27:e69077

Young People’s Experiences Using a Digital Mental Health Tool to Support Their Care in a Real-World Service: Lived Experience–Led Qualitative Study

Young People’s Experiences Using a Digital Mental Health Tool to Support Their Care in a Real-World Service: Lived Experience–Led Qualitative Study

After that, the DN had a brief follow-up discussion (approximately 5 min) with participants to provide ongoing support and complete data collection. Textbox 1 details the discussion topics that guided the study visits between the DN and participants, and Multimedia Appendix 1 collates the most common questions asked by the DN.

Carla Gorban, Min K Chong, Adam Poulsen, Ashlee Turner, Haley M LaMonica, Sarah McKenna, Elizabeth M Scott, Ian B Hickie, Frank Iorfino

JMIR Ment Health 2025;12:e70154

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

For survey data preprocessing, we standardized continuous variables using a Min-Max scaler and applied one-hot encoding to categorical variables. For actigraphy data, temporal pattern characteristics were extracted using an autoencoder. An autoencoder is a neural network composed of an encoder and a decoder, which enables automatic feature learning from unlabeled data [58]. Eight actigraphy features were extracted across the 4 designated periods.

Bada Kang, Min Kyung Park, Jennifer Ivy Kim, Seolah Yoon, Seok-Jae Heo, Chaeeun Kang, SungHee Lee, Yeonkyu Choi, Dahye Hong

J Med Internet Res 2025;27:e69379

Outcomes of an Advanced Epic Personalization Course on Clinician Efficiency through Use of Electronic Medical Records: Retrospective Study

Outcomes of an Advanced Epic Personalization Course on Clinician Efficiency through Use of Electronic Medical Records: Retrospective Study

On average, trained clinicians spent 36.7% (219.6 min) less time using the Epic system per day than controls at 3 months postcourse (Figure 2). Time spent in the Notes module per day was 56.6% (29 min) lower for trained clinicians than controls at 3 months post-course (Figure 3).

Junye George Chen, Hao Xing Lai, Shi Min Wong, Terry Ling Te Pan, Er Luen Lim, Zi Qiang Glen Liau

JMIR Form Res 2025;9:e68491

Characterization of Global Research Trends and Prospects on Prone Positioning in Respiratory Failure: Bibliometric Analysis

Characterization of Global Research Trends and Prospects on Prone Positioning in Respiratory Failure: Bibliometric Analysis

The citation burst of more recent authors like Li Jie and Navalesi Paolo indicates that research on prone positioning continues to evolve, with current studies exploring newer dimensions, such as its use in nonintubated patients during the COVID-19 pandemic [25,50]. From an institutional perspective, several significant trends emerge that illuminate the global research landscape and collaboration dynamics in the field of prone positioning and respiratory failure.

Rong Lei, Feng Yue, Chaofu Yue, Zihan Zhang, Xian Huang, Qiaolin Li, Zhigang Yang, Rong Li, Keyi Zhao, Mei Yang

Interact J Med Res 2025;14:e67276