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Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients
JMIR Form Res 2025;9:e68782
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Effect size dz = 0.39
α err prob = 0.05
Input: Tail(s) = 2
Power (1-β err prob) = 0.80
Output: Noncentrality parameter δ = 2.8659030
Critical t= 2.0057460
Df = 53
Total sample size = 54
Actual power = 0.8033525
The principal investigator (PI) and co-investigators (telenurses) received training in telenursing such as communication and behavior modification techniques, and self-management skills on diabetes including blood sugar control and foot care.
JMIR Res Protoc 2025;14:e71849
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Results of t tests (2-tailed) and χ2 tests showed no significant differences in the demographics and outcomes between the chatbot and control groups and between those who received and did not receive notifications. Table 1 summarizes the demographic characteristics of the participants.
CONSORT (Consolidated Standards of Reporting Trials) diagram of study flow.
Participant characteristics.
a The average conversion rate during the study was 1 HKD=US $0.13.
J Med Internet Res 2025;27:e70436
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This calculation is based on the method outlined by Scott et al [39] and Oetting and Levy [40] and assumes equal marginal variance of outcomes across the ATSs, a normally distributed mean outcome, a type-I error rate of 2.5% where we adjust the standard 0.05 level by a factor of 2 for the 2 primary outcomes of STB, a standardized effect size of 0.50, and no more than 50% attrition by stage 2.
JMIR Res Protoc 2025;14:e68441
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