Search Articles

View query in Help articles search

Search Results (1 to 10 of 2082 Results)

Download search results: CSV END BibTex RIS


Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

A Bonferroni correction was applied to all P values by multiplying each P value by 4, the number of tests conducted, to correct for multiple comparisons; a P value less than .05 was considered statistically significant after correction. Timelines of OARS use were also described for MOUD providers and case managers. All analyses were conducted in R (version 4.2.1; R Foundation for Statistical Computing). All qualitative data were analyzed using a coding reliability thematic analysis approach [16].

Omar Nieto, Allison D Rosen, Mariah M Kalmin, Li Li, Steven J Shoptaw, Steven P Jenkins, Zahra Zarei Ardestani, Bengisu Tulu

J Med Internet Res 2025;27:e69953

Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis

Networked Behaviors Associated With a Large-Scale Secure Messaging Network: Cross-Sectional Secondary Data Analysis

Health care professionals who practiced in an inpatient setting had significantly higher values (all P Node-level properties stratified by location and clinical role. The distribution of health care professionals into the 4 k-core layers was found to be significantly different between the practice locations (ie, inpatient and outpatient settings) (P Distribution of users into the 4 k-core among each location and clinical role. Segments >5% were labeled with the percentage. APP: advanced practice provider.

Laura Rosa Baratta, Linlin Xia, Daphne Lew, Elise Eiden, Y Jasmine Wu, Noshir Contractor, Bruce L Lambert, Sunny S Lou, Thomas Kannampallil

JMIR Med Inform 2025;13:e66544

COVID-19–Relevant Insights Into the Elevated Risk of Accidental Injuries in Survivors of SARS and Their Relatives in Taiwan: Retrospective Cohort Study

COVID-19–Relevant Insights Into the Elevated Risk of Accidental Injuries in Survivors of SARS and Their Relatives in Taiwan: Retrospective Cohort Study

Figure 2 reveals that the difference between the two cohorts in the injury was significant (log-rank test; P Kaplan-Meier survival curves illustrating the cumulative incidence of injury among the survivors of severe acute respiratory syndrome (SARS) and matched controls aged 18 years or older in a nationwide retrospective cohort study (Taiwan, 2000–2015). Statistical significance was determined using the log-rank test (P In total, 699 were relatives of patients with SARS during the study period.

Chieh Sung, Chi-Hsiang Chung, Chien-An Sun, Chang-Huei Tsao, Daphne Yih Ng, Tsu-Hsuan Weng, Li-Yun Fann, Fu-Huang Lin, Wu-Chien Chien

JMIR Public Health Surveill 2025;11:e70608

Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

All P values for Pearson correlation coefficients b PSS-4: Perceived Stress Scale-4. c ACC: adversity coping capability. d PHQ-4: Patient Health Questionnaire-4. e Not applicable. Figure 1 shows the distribution of perceived xingfu and happiness scores. As both perceived xingfu and happiness peaked at scores of 7 (22%) and 8 (23%); therefore, perceived xingfu ≥7 was classified as high perceived xingfu in the logistic regression model.

Katherine Y P Sze, Sai Yin Ho, Agnes Yuen Kwan Lai, Jing Jia, Heng Xu, Shirley Man Man Sit, Tai Hing Lam, Man Ping Wang

JMIR Form Res 2025;9:e73350

Cognitive Training Mobile Apps for Older Adults With Cognitive Impairment: App Store Search and Quality Evaluation

Cognitive Training Mobile Apps for Older Adults With Cognitive Impairment: App Store Search and Quality Evaluation

In addition, the Spearman correlation showed no significant relationship between the overall mean score and star rating (R=−0.331, P=.18). The mean (SD) scores of each Mobile App Rating Scale dimension for included apps. a Not applicable. The included apps were categorized into three groups based on their overall mean scores: less than 3 (Group 1), between 3 and 4 (Group 2), and greater than 4 (Group 3). Detailed descriptions of these groupings are provided in Multimedia Appendix 2.

Leyi Wu, Jiajuan Pan, Chuwen Dou, An Gu, An Huang, Hong Tao, Xiaoyan Wang, Chen Zhang, Lina Wang

JMIR Mhealth Uhealth 2025;13:e69637

E-Cigarette Narratives of User-Generated Posts on Xiaohongshu in China: Content Analysis

E-Cigarette Narratives of User-Generated Posts on Xiaohongshu in China: Content Analysis

Video posts were significantly more likely to generate comments than text-image posts, with an OR of 2.624 (95% CI 2.017‐3.439, P The logistic multivariate analysis of user engagement metrics. a Not applicable. To the best of our knowledge, this is the first study in China to comprehensively analyze e-cigarette–related content on Xiaohongshu, a leading Chinese social media platform, over an extended period.

Tingfen Ji, Zhao Liu, Zheng Su, Xin Xia, Yi Liu, Ying Xie, Zhenxiao Huang, Xinmei Zhou, Min Wang, Anqi Cheng, Qingqing Song, Yuxin Shi, Shunyi Shi, Aihemaiti Ailifeire, Jiahui He, Yingman Gao, Liang Zhao, Liyan Wu, Dan Xiao, Chen Wang

J Med Internet Res 2025;27:e71173

Growth Mindset Intervention's Impact on Positive Response to eHealth for Older Adults With Chronic Disease: Randomized Controlled Trial

Growth Mindset Intervention's Impact on Positive Response to eHealth for Older Adults With Chronic Disease: Randomized Controlled Trial

P Out of the 77 participants who participated in the intervention, 74 completed the 12-week intervention period, resulting in an attendance rate of 96.10% (74/77), with 36 in the intervention group and 38 in the control group. Among the 3 participants in the two groups who withdrew from the study, 2 participants in the intervention group reported health issues and lost interest, respectively, and 1 participant in the control group lost interest.

Meijuan Cao, Xiaojuan Xu, Yaling Zeng, Binyu Zhao, Chunqi Xie, Hailu Wu, Jianlin Lou

JMIR Hum Factors 2025;12:e65519

Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation

Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation

By defining 5 elements—state space (S), action space (A), state transition probability (P), reward function (R), and discount factor (γ)—the interaction process between the agent and the environment is transformed into a computable model [13]. In 2010, Alagoz et al [14] proposed using MDP to solve the problem of sequential clinical treatment under uncertainty, and subsequently more researchers have focused on clinical decision analysis in RL [15].

Hongwei Zhang, Mengyuan Diao, Sheng Zhang, Peifeng Ni, Weidong Zhang, Chenxi Wu, Ying Zhu, Wei Hu

J Med Internet Res 2025;27:e63847