Search Articles

View query in Help articles search

Search Results (1 to 10 of 30990 Results)

Download search results: CSV END BibTex RIS


Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes

Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes

In this tutorial, we use a case study based on MS to illustrate the deployment of our pipeline in conducting an observational clinical research study. The clinical question of interest is to compare the long-term treatment effectiveness between 2 groups of high-efficacy MS DMTs, namely, B-cell depletion therapies (eg, ocrelizumab) versus alpha4-integrin blockers (eg, natalizumab). For MS, a common treatment efficacy measure in RCTs is the reduction in acute inflammatory relapse events.

Feiqing Huang, Jue Hou, Ningxuan Zhou, Kimberly Greco, Chenyu Lin, Sara Morini Sweet, Jun Wen, Lechen Shen, Nicolas Gonzalez, Sinian Zhang, Katherine P Liao, Tianrun Cai, Zongqi Xia, Florence T Bourgeois, Tianxi Cai

J Med Internet Res 2025;27:e71873

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

We conducted an exploratory cross-sectional analysis using the Ao U Controlled Tier version 7 data release in the secure, cloud-based Ao U Researcher Workbench platform (date of first access for research purposes: September 1, 2023; date of last access: June 16, 2024). Registered researchers can access the data through the Ao U Research Hub [7]. This study was exempt from ethical approval for human subjects research as only deidentified data were analyzed.

Xintong Li, Caitlin Dreisbach, Carolina M Gustafson, Komal Patel Murali, Theresa A Koleck

JMIR Form Res 2025;9:e69138

Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

Therefore, this dataset is adequate to answer the research questions. Missing data analysis was conducted, and variables with more than 30% missing values were excluded to enhance model robustness. Missing data were imputed using Multivariate Imputation by Chained Equations. See Multimedia Appendix 1 for details on the percentage of missing data for each variable before imputation.

Thien Vu, Yoshihiro Kokubo, Mai Inoue, Masaki Yamamoto, Attayeb Mohsen, Agustin Martin-Morales, Research Dawadi, Takao Inoue, Jie Ting Tay, Mari Yoshizaki, Naoki Watanabe, Yuki Kuriya, Chisa Matsumoto, Ahmed Arafa, Yoko M Nakao, Yuka Kato, Masayuki Teramoto, Michihiro Araki

JMIR Cardio 2025;9:e68066

Augmenting Engagement in Decentralized Clinical Trials for Atrial Fibrillation: Development and Implementation of a Programmatic Architecture

Augmenting Engagement in Decentralized Clinical Trials for Atrial Fibrillation: Development and Implementation of a Programmatic Architecture

Foremost, eligible individuals received an introductory letter cosigned by their physician provider, such as a physician or nurse practitioner to introduce the research study, accompanied by a brochure, contact information, and a stamped postcard to decline participation. Individuals who did not return the postcard within 2‐4 weeks received a telephone call as described by the letter.

Toluwa Daniel Omole, Andrew Mrkva, Danielle Ferry, Erin Shepherd, Jessica Caratelli, Noah Davis, Richmond Akatue, Timothy Bickmore, Michael K Paasche-Orlow, Jared W Magnani

JMIR Cardio 2025;9:e66436

Identifying Optimal Wearable Devices for Monitoring Mobility in Hospitalized Older Adults: Feasibility, Acceptability, and Validity Study

Identifying Optimal Wearable Devices for Monitoring Mobility in Hospitalized Older Adults: Feasibility, Acceptability, and Validity Study

Research indicates that a significant proportion of the adverse functional and health outcomes experienced by older adults during hospitalization may not be directly linked to their underlying health conditions or the reasons for hospitalization [1-3]. Instead, they may arise from certain hospital practices, such as restricted physical activity and immobilization, which may be harmful for older patients, especially for those who are frail [1].

Paulo Nascimento, Renata Kirkwood, Lauren E Griffith, Mylinh Duong, Cody Cooper, Yujiao Hao, Rong Zheng, Samir Raza, Marla Beauchamp

JMIR Aging 2025;8:e64372

Implementation of New Technologies in an Aged Care Social Day Program: Mixed Methods Evaluation

Implementation of New Technologies in an Aged Care Social Day Program: Mixed Methods Evaluation

This research aimed to undertake a multifaceted evaluation of the implementation of technologies at the Social Day Program, including an exploration of the barriers and enablers to the use of technology within the Social Day Program.

Dannielle Post, Kathleen Whitson, Gaynor Parfitt

JMIR Aging 2025;8:e60297

Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies

Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies

In this work, we draw on our multivariable models in conjunction with recent research on the causal interpretation of predictive models [17] and on the appropriate selection of covariates [18]. Based on this approach, we assess the independent effect of proposed driving factors for the adolescent mental health crisis (increased screen time, less physical activity, and worsened peer relationships).

Heiner Stuke, Robert Schlack, Michael Erhart, Anne Kaman, Ulrike Ravens-Sieberer, Christopher Irrgang

JMIR Public Health Surveill 2025;11:e60125

Impact of a “Digital Health” Curriculum on Students’ Perception About Competence and Relevance of Digital Health Topics for Future Professional Challenges: Prospective Pilot Study

Impact of a “Digital Health” Curriculum on Students’ Perception About Competence and Relevance of Digital Health Topics for Future Professional Challenges: Prospective Pilot Study

A particularity of our cohort appears to be a very high interest in science and in completing a doctoral thesis, while globally, medical students rather underscore the necessity and importance of research in medical education, with many students reporting positive attitudes and interest in research efforts [18]. Data protection and IT security were the highest ranking in terms of relevance among our students. Students also reported a significant increase in competence after completing the curriculum.

Juliane Kröplin, Leonie Maier, Jan-Hendrik Lenz, Bernd Romeike

JMIR Form Res 2025;9:e58940

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

The questionnaire used in this study was developed de novo by the research team. The design process was informed by the research team’s multidisciplinary experience in medicine, education, and digital health, as well as the evolving discourse around AI in health care. To assist with rapid prototyping, the research team used Chat GPT (Open AI) to generate the first draft of the questionnaire. This initial draft provided a foundation for question phrasing and thematic organization.

Ecem Ozkan, Aysun Tekin, Mahmut Can Ozkan, Daniel Cabrera, Alexander Niven, Yue Dong

JMIR Med Educ 2025;11:e58801

Nonpharmacological Multimodal Interventions for Cognitive Functions in Older Adults With Mild Cognitive Impairment: Scoping Review

Nonpharmacological Multimodal Interventions for Cognitive Functions in Older Adults With Mild Cognitive Impairment: Scoping Review

Considering the variety of multimodal MCI interventions, both with and without technology, and the diverse methodologies and research focus of the existing literature, a scoping review is warranted to identify the current research gaps to inform future research and clinical practice.

Raffy Chi-Fung Chan, Joson Hao-Shen Zhou, Yuan Cao, Kenneth Lo, Peter Hiu-Fung Ng, David Ho-Keung Shum, Arnold Yu-Lok Wong

JMIR Aging 2025;8:e70291