Statistical Analysis
REGRESSION
Analyses were conducted considering intention-to-treat (ITT) (ie, all participants starting the study) and per-protocol approaches (ie, including all study completers). Data distribution was analyzed using the Kolmogorov-Smirnov test, followed by the inspection of histograms and Q-Q plots. Differences between groups in baseline characteristics and engagement metrics were assessed by independent sample Clinical outcomes data revealed a non-normal distribution (Table S1 in The odds of being a responder for QuickDASH were calculated using logistic regression analysis, considering a 33% minimal clinically important difference (MCID) [All analyses were performed using 2-sided hypothesis tests with a significance level of 0.05. The robust mixed-effects model was coded using R (version 4.2.2, R Foundation for Statistical Computing), and all other analyses used SPSS (version 28.0, IBM Corp).