The Effect of Limited Health Literacy on How Internet Users Learn About Diabetes

J Health Commun. 2016 Oct;21(10):1107-14. doi: 10.1080/10810730.2016.1222033.

Abstract

The Internet continues to be an important supplemental health information resource for an increasing number of U.S. adults, especially for those with a new or existing chronic condition. Here we examine how people use the Internet to learn about Type 2 diabetes and how health literacy (HL) influences this information-seeking behavior. We analyzed the searches of approximately 2 million people who queried for diabetes-related information on Microsoft's Bing search engine. The HL of searchers was imputed through a community-based HL score. Topics searched were categorized and subsequent websites were assessed for readability. Overall, diabetes information-seeking strategies via the Internet are similar among adults with limited and adequate HL skills. However, people with limited HL take a longer time to read pages that are quickly read by people with adequate HL and vice versa. Information seeking among the former is terminated prematurely, as is evident from a Hidden Markov Model of the search process. Our findings indicate that the reading level required to understand the majority of diabetes-related information is high. Especially on government websites, more than 80% of information requires a reading level corresponding to 7th grade or higher. Our results indicate that individuals with lower HL may disproportionately struggle with Internet searches and fail to get an equivalent benefit from this information resource compared to users with greater HL. Future interventions should target the quality and ease of navigation of health care websites and find ways to leverage other relevant professionals to encourage and promote successful information access on the Web.

MeSH terms

  • Adult
  • Comprehension
  • Consumer Health Information*
  • Diabetes Mellitus, Type 2 / psychology*
  • Health Literacy / statistics & numerical data*
  • Humans
  • Information Seeking Behavior*
  • Internet / statistics & numerical data*
  • Learning
  • Reading
  • Search Engine