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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

Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders

As part of the project, a scoping review (Raszke P, unpublished data, April 2025) was conducted to collect fundamental evidence. On the basis of the results, we conducted interviews with experts to further investigate the following questions: (1) What problems and barriers hinder the integration of AI-based CDSS into health care? (2) What approaches might be used to enhance the quality of AI-based CDSS and their integration into care?

Godwin Denk Giebel, Pascal Raszke, Hartmuth Nowak, Lars Palmowski, Michael Adamzik, Philipp Heinz, Marianne Tokic, Nina Timmesfeld, Frank Martin Brunkhorst, Jürgen Wasem, Nikola Blase

JMIR Med Inform 2025;13:e69688

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

Evaluating Theory-Driven Messaging to Overcome the Barriers to Meditation: Large-Scale Digital Field Experiment

Evaluating Theory-Driven Messaging to Overcome the Barriers to Meditation: Large-Scale Digital Field Experiment

The χ2 test for the click-through rate across all conditions yielded χ24=2156.85 (P In the logistic regression to assess the differences in effect size of the click-through rates, Condition 2, which addressed the perceived pragmatic barriers to meditation, had the largest effect (odds ratio [OR] 1.57, 95% CI 1.52‐1.62), followed by Condition 3, which highlighted that there are benefits to meditation (OR 1.25, 95% CI 1.21‐1.29).

Michael Bowen, Michael Beam, Joakim Semb, Dong Whi Yoo

JMIR Ment Health 2025;12:e71732

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

A P value of In addition, interrater reliability among the 7 surgeons evaluating MRI reports was assessed using Cohen kappa statistic in an effort to quantify agreement beyond chance. The Scripps Health Institutional Review Board approved this study with a waiver for deidentified use of patient records.

David C Sing, Kishan S Shah, Michael Pompliano, Paul H Yi, Calogero Velluto, Ali Bagheri, Robert K Eastlack, Stephen R Stephan, Gregory M Mundis Jr

JMIR AI 2025;4:e69654