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The baseline compliance proportion was higher in the intervention clinics compared to the control clinics (difference: 3.32%, 95% CI 0.5%-6.2%; P=.02). Across all clinics, there was no significant change in compliance proportions from the baseline to the intervention period (difference: 1.29%, 95% CI: −1.6% to 4.2%; P=.37). The DID estimate, reflecting the interaction between intervention group and time period, was not statistically significant (difference: 0.07%, 95% CI −4.0% to 4.1%; P=.97).
JMIR Med Inform 2025;13:e70752
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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).
JMIR Cardio 2025;9:e67956
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Evaluating User Experience and Satisfaction in a Concussion Rehabilitation App: Usability Study
JMIR Form Res 2025;9:e67275
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A P value of
The participants were not involved in the design of this study protocol. Participant feedback will be obtained via a series of questionnaires as described above. Members of the public (hospital staff) participated in providing feedback on acceptability questionnaires as described above, and feedback was implemented in the development of the questionnaires.
No data monitoring committee has been appointed.
An interim analysis will be performed halfway through enrollment by the safety committee.
JMIR Res Protoc 2025;14:e51434
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There was no significant effect of the study phase or incentives on any of the self-reported drinking outcomes, for the average number of days per week in the last month involving alcohol consumption (F2, 232=0.294, P=.75, η2=.003), typical weekend evening drink consumption in the last month (F2, 165=0.662, P=.52, η2=.008), the maximum number of drinks consumed in the last month (F2, 175=0.005, P=.99, η2=.00), or protective behavioral strategies (F2, 232=1.469, P=.23, η2=.013).
JMIR Hum Factors 2025;12:e69873
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The p-values of the AUROC scores are presented in Multimedia Appendix 1. As P
Data cleaning and cohort selection with descriptive analysis were conducted using Stata version 16.1 (Stata Corp). We used Python version 3.8.10, along with the Monai framework version 1.2.0 (NVIDIA) and Pytorch version 2.0.0 (Facebook) to develop the deep learning models. Additionally, the AUROC score and its 95% CI were calculated using Fast De Long implementation from VMAF (Video Multimethod Assessment Fusion; Netflix) [43].
JMIR AI 2025;4:e67144
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We performed all analyses using STATA (v.17.1, Stata Corp LP), with statistical significance set at a P value below 5%.
Participant characteristics (N=380) stratified by recruitment method, social media (n=107), and nonsocial media (n=273) are presented in Table 1. Participants recruited through social media had a mean age of 47.27 (SD 1.02) years, whereas those in the nonsocial media group had a mean age of 47.38 (SD 0.73) years (P=.93).
JMIR Form Res 2025;9:e58916
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