title: Education-Based Gaps in eHealth: A Weighted Logistic Regression Approach.
abstract: Persons with a college degree are more likely to engage in eHealth behaviors than persons without a college degree, compounding the health disadvantages of undereducated groups in the United States. However, the extent to which quality of recent eHealth experience reduces the education-based eHealth gap is unexplored.
  
  
  
  The goal of this study was to examine how eHealth information search experience moderates the relationship between college education and eHealth behaviors.
  
  
  
  Based on a nationally representative sample of adults who reported using the Internet to conduct the most recent health information search (n=1458), I evaluated eHealth search experience in relation to the likelihood of engaging in different eHealth behaviors. I examined whether Internet health information search experience reduces the eHealth behavior gaps among college-educated and noncollege-educated adults. Weighted logistic regression models were used to estimate the probability of different eHealth behaviors.
  
  
  
  College education was significantly positively related to the likelihood of 4 eHealth behaviors. In general, eHealth search experience was negatively associated with health care behaviors, health information-seeking behaviors, and user-generated or content sharing behaviors after accounting for other covariates. Whereas Internet health information search experience has narrowed the education gap in terms of likelihood of using email or Internet to communicate with a doctor or health care provider and likelihood of using a website to manage diet, weight, or health, it has widened the education gap in the instances of searching for health information for oneself, searching for health information for someone else, and downloading health information on a mobile device.
  
  
  
  The relationship between college education and eHealth behaviors is moderated by Internet health information search experience in different ways depending on the type of eHealth behavior. After controlling for college education, it was found that persons who experienced more fruitful Internet health information searches are generally less likely to engage in eHealth behaviors.
authors.affiliation: State University of New York at Buffalo, Buffalo, NY, United States. lccasey@buffalo.edu.
authors.forename: Laura
authors.identifier: 0000-0002-6433-788X
authors.initials: L
authors.lastname: Amo
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D004522:Educational Status; D005260:Female; D006801:Humans; D057226:Information Seeking Behavior; D020407:Internet; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017216:Telemedicine / Q000379:methods*; D014481:United States; D055815:Young Adult
keywords: eHealth; information storage and retrieval; models, statistical