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Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study

Effect of Smartphone-Based Messaging on Interns and Nurses at an Academic Medical Center: Observational Study

An active intern exchanged on average 39.8 messages (range: 26.8‐50.6) with nurses per day, while an active nurse exchanged on average 15.3 messages (range: 2.3‐37.2) with interns per day (P Message transactions between 96 nurses and 25 interns over a 5-month period, showing the total number of messages exchanged with nurses, with interns, and specifically between nurses and interns. (A) Hourly distribution of total message volumes exchanged between nurses and interns by hour of the day.

Sankirth Madabhushi, Andrew M Nguyen, Katie Hsia, Sucharita Kher, William Harvey, Jennifer Murzycki, Daniel Chandler, Michael Davis

JMIR Med Inform 2025;13:e66859

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis

We conducted 2 different approaches, trim-and-fill, which corrects for publication bias in small samples, and 3-parameter selection models which explicitly model the proportion of studies below a p-threshold. We considered applying p-curve approaches, but they require at least 3 significant findings which was not the case for multiple models. A PRISMA flow diagram is shown in Figure 2 (PRISMA checklist provided in Multimedia Appendix 2).

Isaac Treves, Zia Bajwa, Keara D Greene, Paul A Bloom, Nayoung Kim, Emma Wool, Simon B Goldberg, Susan Whitfield-Gabrieli, Randy P Auerbach

J Med Internet Res 2025;27:e68204

Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study

Leveraging Datathons to Teach AI in Undergraduate Medical Education: Case Study

As expected, participant familiarity with Git Hub/Gitlab and Microsoft Excel did not significantly change before and after the datathon (Git Hub/Gitlab: P=.92; Microsoft Excel: P=1.00; pairwise Fisher exact test).

Michael Steven Yao, Lawrence Huang, Emily Leventhal, Clara Sun, Steve J Stephen, Lathan Liou

JMIR Med Educ 2025;11:e63602

A Digital Photo Activity Intervention for Nursing Home Residents With Dementia and Their Carers: Mixed Methods Process Evaluation

A Digital Photo Activity Intervention for Nursing Home Residents With Dementia and Their Carers: Mixed Methods Process Evaluation

Background characteristics of nursing home residents in both the experimental and control groups who completed the semistructured interviews after the 4-week intervention. a Significance level set at P b Chi-square test with Yates continuity correction. c Not applicable. d GDS: Global Deterioration Scale.

Josephine Rose Orejana Tan, David P Neal, Maria Vilmen, Petra Boersma, Teake P Ettema, Robbert J J Gobbens, Sietske A M Sikkes, Rose-Marie Dröes

JMIR Form Res 2025;9:e56586

Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study

Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study

Across all medications, the probability of di LQTS was 16.7% (SD 0.6) if the BPA alert fired versus 8.5% (SD 0.1) if the alert did not fire (OR 2.28, 95% CI 2.10-2.47; P Within the BPA, there was no evidence of an effect of provider actions on the risk of di LQTS overall (P=.79; Table S9 A in Multimedia Appendix 1), or for any specific medication (Table S9 A in Multimedia Appendix 1), as well as no difference in inpatient (P=.18; Table S9 B in Multimedia Appendix 1), 3-month (P=.25; Table S9 C in Multimedia Appendix

Katy E Trinkley, Steven T Simon, Michael A Rosenberg

J Med Internet Res 2025;27:e68256

A Web-Based Tool to Perform a Values Clarification for Stroke Prevention in Patients With Atrial Fibrillation: Design and Preliminary Testing Study

A Web-Based Tool to Perform a Values Clarification for Stroke Prevention in Patients With Atrial Fibrillation: Design and Preliminary Testing Study

The overall SURE test, saying “yes” to all 4 components, was 61.2% (156/255) for the standard group, 66.5% (145/218) for the visual group, and 67% (134/200) for the visual+VC group (visual vs standard, odds ratio [OR] 1.26, 95% CI 0.86‐1.84; P=.23; visual+VC vs standard, OR 1.29, 95% CI 0.87‐1.90; P=.20).

Michael P Dorsch, Allen J Flynn, Kaitlyn M Greer, Sabah Ganai, Geoffrey D Barnes, Brian Zikmund-Fisher

JMIR Cardio 2025;9:e67956