Analysis
REGRESSION, SECONDARY
The data are described using proportions and frequencies. The primary outcome was willingness to prescribe, and the secondary outcome was comfort discussing the harms and benefits of aspirin. An ANOVA was used to estimate the main effects and all interactions on the primary and secondary outcomes. Effect coding (−1, 1) was used to enable interpretation of the main and interaction effects simultaneously.The outcomes of willingness and comfort were also dichotomised at midpoint. Multivariable logistic regression models were conducted assessing the relationship between GPs’ characteristics, awareness, and previous experience on willingness to prescribe (willing versus unwilling), and comfort discussing aspirin (comfortable versus uncomfortable). The proportion of GPs who agreed that each of the 14 factors influenced their willingness to prescribe is also reported.To minimise missing data, participants were required to answer all survey questions, unless a question was not applicable because of a previous answer. RStudio (version 4.1.2) was used for the analysis, with 