Variation in estimates of limited health literacy by assessment instruments and non-response bias

J Gen Intern Med. 2010 Jul;25(7):675-81. doi: 10.1007/s11606-010-1304-2. Epub 2010 Mar 12.

Abstract

Objectives: This paper compares estimates of poor health literacy using two widely used assessment tools and assesses the effect of non-response on these estimates.

Study design and setting: A total of 4,868 veterans receiving care at four VA medical facilities between 2004 and 2005 were stratified by age and facility and randomly selected for recruitment. Interviewers collected demographic information and conducted assessments of health literacy (both REALM and S-TOFHLA) from 1,796 participants. Prevalence estimates for each assessment were computed. Non-respondents received a brief proxy questionnaire with demographic and self-report literacy questions to assess non-response bias. Available administrative data for non-participants were also used to assess non-response bias.

Results: Among the 1,796 patients assessed using the S-TOFHLA, 8% had inadequate and 7% had marginal skills. For the REALM, 4% were categorized with 6th grade skills and 17% with 7-8th grade skills. Adjusting for non-response bias increased the S-TOFHLA prevalence estimates for inadequate and marginal skills to 9.3% and 11.8%, respectively, and the REALM estimates for < or = 6th and 7-8th grade skills to 5.4% and 33.8%, respectively.

Conclusions: Estimates of poor health literacy varied by the assessment used, especially after adjusting for non-response bias. Researchers and clinicians should consider the possible limitations of each assessment when considering the most suitable tool for their purposes.

Publication types

  • Comparative Study
  • Multicenter Study
  • Randomized Controlled Trial
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Aged
  • Bias
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Health Literacy / standards*
  • Health Literacy / statistics & numerical data*
  • Humans
  • Interviews as Topic / methods
  • Interviews as Topic / standards*
  • Male
  • Middle Aged
  • Patient Participation / statistics & numerical data*
  • Patient Selection
  • United States
  • Veterans / statistics & numerical data*