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Skip search results from other journals and go to results- 1038 Journal of Medical Internet Research
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Reference 31: Columbia-Suicide Severity Rating Scale (C-SSRS)(https://cssrs.columbia.edu/wp-content/uploads /C-SSRS_Pediatric-SLC_11.14.16.pdf)
JMIR Ment Health 2025;12:e72541
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The State of Remote Patient Monitoring for Chronic Disease Management in the United States
J Med Internet Res 2025;27:e70422
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Reference 29: The health equity implementation framework: proposal and preliminary study of hepatitis C
J Med Internet Res 2025;27:e71211
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Assuming 80% of participants provided complete data for analysis, we would have 90.5% power to detect a 2.5-percentage point difference in weight loss between the study arms, as well as providing 80% power to detect a Cohen d of completion and engagement outcomes of 0.21 and 0.18, respectively. Power to detect a 5-percentage point difference in weight loss between the study arms would be >99.9%.
JMIR Res Protoc 2025;14:e64405
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development (R)
Acquisition of external graphics designer (G)
Selection of software and metrics (J)
Learning to work with existing technologies for scheduling and publishing (AF)
Sudden unexpected team member change (U)
Outputs
Extracting key teaching points from top PECARN articles into tweet (X)
Tweet frequency established at the same time each week (3 times per week) (AH)
Tweet visual structure: Intentional or strategic polls, emojis, bullet points, and multimedia such as images and videos (AA, AB, AC, C,
JMIR Form Res 2025;9:e59481
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Although not statistically significant, there was a moderate difference on the total Stim Q2 READ scale between group 1 (ie, those who completed the program) and group 2 (ie, those who had not yet begun; Cohen d=0.55; P=.23). However, there were large and statistically significant differences between the groups on the quantity and quality subdomains (Cohen d=1.01; P=.04 and Cohen d=0.99; P=.02). By contrast, the between-group difference on the PVR scale was small and not statistically significant (P=.75).
JMIR Pediatr Parent 2025;8:e60764
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The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study
We first evaluated how Ro CA evaluated patient drawings (Figure 3 A-C). Ro CA classified 97% (44/46) of the cubes correctly, 91% (42/46) of the infinities correctly, and 98% (45/46) of the clocks correctly. We next calculated the accuracy of Ro CA for each drawing individually (Figure 3 D). We compared the accuracy of each drawing to its statistical baseline by bootstrapping, resampling the accuracy, and counting the number of times it fell below the random classifier.
J Med Internet Res 2025;27:e66735
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