Laura Amo
Education-Based Gaps in eHealth: A Weighted Logistic Regression Approach
University at Buffalo, State University of New York
persons college degree likely engage ehealth behaviors persons without college degree compounding health disadvantages undereducated groups united states however extent quality recent ehealth experience reduces educationbased ehealth gap unexploredthe goal study examine ehealth information search experience moderates relationship college education ehealth behaviorsbased nationally representative sample adults reported using internet conduct recent health information search n1458 evaluated ehealth search experience relation likelihood engaging different ehealth behaviors examined whether internet health information search experience reduces ehealth behavior gaps among collegeeducated noncollegeeducated adults weighted logistic regression models used estimate probability different ehealth behaviorscollege education significantly positively related likelihood 4 ehealth behaviors general ehealth search experience negatively associated health care behaviors health informationseeking behaviors usergenerated content sharing behaviors accounting covariates whereas internet health information search experience narrowed education gap terms likelihood using email internet communicate doctor health care provider likelihood using website manage diet weight health widened education gap instances searching health information oneself searching health information someone else downloading health information mobile devicethe relationship college education ehealth behaviors moderated internet health information search experience different ways depending type ehealth behavior controlling college education found persons experienced fruitful internet health information searches generally less likely engage ehealth behaviors