Data Analysis
REGRESSION
Descriptive statistics were generated for baseline variables, month-1 intermediate outcome (IMB scores), month-1 medication adherence, and indicators of process evaluation. Chi-square analysis and independent group 2-tailed In addition to descriptive analysis, we conducted a series of exploratory analyses to test the month-1 efficacy of the intervention and to explore the potential mechanism between intervention uptake and month-1 behavioral outcomes. The month-1 efficacy of the intervention was examined in the full sample using logistic and linear regression for binary (ie, adherence) and continuous outcomes (ie, IMB scores), respectively, adjusting for unbalanced baseline variables between groups. The applicability of the IMB framework to our study sample was tested using structural equation modeling for the full sample. We also divided the control group by contamination and repeated the above analysis as a sensitivity analysis. Subsequently, we investigated the potential intervention mechanisms by examining the association between intervention uptake (ie, dose received from web-based communication and educational articles delivery) and medication adherence or IMB scores. First, we ran logistic or linear regression between baseline characteristics and outcomes in the control group to identify potential confounders. Then, we examined how intervention uptake was associated with the outcome of interest, adjusting for identified confounders. Missing data were imputed using multiple imputations by chained equations. Both text analysis and data analysis were performed using the R software (version 4.1.0; R Foundation for Statistical Computing).