Objective: Using indicators of campaign effort and relevant news stories, we sought to predict two patterns of patient behavior regarding information about aspirin and heart health: patient use of a campaign web tool to determine whether they should talk with a physician about using aspirin and patient searches for information about aspirin and the heart.
Methods: We used ARIMA modeling to predict two time series as a function of independent variables.
Results: We found significant prediction of time series in both models, but campaign expenditure only predicted use of a campaign web tool whereas weekly news stories predicted online searches regarding aspirin and the heart originating from Minnesota.