Quantitative Data Analysis
REGRESSION, SECONDARY
Quantitative data analyses were conducted using Stata/IC v16.1 (StataCorp, College Station, TX) by a study statistician blinded to the intervention allocation of participants and their level of health literacy. Primary and secondary outcome data were analyzed as intention to treat using linear regression for continuous outcomes and logistic regression for dichotomous categorical outcomes. Dichotomous variables representing the study factors (Video: yes, no × Questions: yes, no × health literacy: adequate, inadequate) and their interactions were included in models as between-subjects fixed effects, controlling for preintervention values (where available). Pairwise comparisons of estimated marginal means between the intervention arms and control were also explored, with Cohen’s 