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The sample size of 80 is sufficient for the planned analyses and provides 79% power to detect main effects, corresponding to a correlation of 0.6 and a medium effect size (d=0.50), given α=.05.
The trial protocol was approved by New York University’s IRB Human Research Protection Program on December 4, 2024 (IRB-FY2024-9043). Any future protocol amendments will be reviewed by the IRB and reported on Clinical Trials.gov.
JMIR Res Protoc 2025;14:e68885
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We used the independent 2-tailed t test and the effect size (Cohen d) to compare foot skin temperature in healthy participants versus participants with diabetes. The level of significance is set at P
In addition, we conducted an ordinary least squares (OLS) regression to examine the relationship between temperature delta (difference in plantar temperatures between feet) and several predictor variables. The primary predictor of interest was diabetes status (healthy vs diabetic).
JMIR Diabetes 2025;10:e65209
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A subset of care partner members (n=18) completed anonymous surveys on their experience with the network, including 13 engaged members (who signed in to the network at least once in the prior 90 d), 1 inactive member (who had not signed in to the network within the prior 90 d), and 4 members responding from an anonymous link provided on the website.
JMIR Form Res 2025;9:e70206
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Effect sizes were estimated using Cohen d, adjusted for generalized estimating equations analysis, based on the following formula: βinteraction/SDresidual.
Interviews were audio-recorded and transcribed verbatim. Thematic analysis was conducted following the 6-phase framework outlined by Braun and Clarke [46]. Data were inductively coded and then deductively organized into 4 key domains: (1) overall perception of the intervention, (2) facilitators, (3) barriers, and (4) suggestions for improvement.
JMIR Mhealth Uhealth 2025;13:e69259
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