Skip to main content
Log in

Variation in Estimates of Limited Health Literacy by Assessment Instruments and Non-Response Bias

  • Original Article
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

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 ≤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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1

Similar content being viewed by others

References

  1. Ratzan SC. Health literacy: Communication for the public good. Health promot Int. 2001;16:207–14.

    Article  CAS  PubMed  Google Scholar 

  2. Baker DW, Gazmararian JA, Williams MV, Scott T, Parker RM, Green D, et al. Functional health literacy and the risk of hospital admission among Medicare managed care enrollees. Am J Public Health. 2002;92:1278–83.

    Article  PubMed  Google Scholar 

  3. Baker DW, Parker RM, Williams MV, Clark WS, Nurss J. The relationship of patient reading ability to self-reported health and use of health services. A J Public Health. 1997;87:1027–30.

    Article  CAS  Google Scholar 

  4. Baker DW, Wolf MS, Feinglass J, Thompson JA, Gazmararian JA, Huang J. Health literacy and mortality among elderly persons. Am J Public Health. 2007;167(14):1503–9.

    Google Scholar 

  5. Nielsen-Bohlman LT, Panzer AM, Kindig DA. Health Literacy: A prescription to end confusion. Washington, DC: Institute of Medicine of the National Academies, The National Acadamies Press; 2004.

    Google Scholar 

  6. DeWalt DA, Berkman ND, Sheridan S, Lohr KN, Pignone MP. Literacy and health outcomes: a systematic review of the literature. J Gen Intern Med. 2004;19:1228–39.

    Article  PubMed  Google Scholar 

  7. Parker RM, Baker DW, Williams MV, Nurss JR. The test of functional health literacy in adults: a new instrument for measuring patients’ literacy skills. J Gen Intern Med. 1995;10:537–41.

    Article  CAS  PubMed  Google Scholar 

  8. Baker DW, Williams MV, Parker RM, Gazmararian JA, Nurss JR. Development of a brief test to measure functional health literacy. Patient Educ Couns. 1999;38:33–42.

    Article  CAS  PubMed  Google Scholar 

  9. Davis TC, Crouch MA, Long SW, Jackson RH, Bates P, George RB, et al. Rapid assessment of literacy levels of adult primary care patients. Fam Med. 1991;23:433–35.

    CAS  PubMed  Google Scholar 

  10. Bennett IM, Kripalani S, Weiss BD, Coyne CA. Combining cancer control information with adult literacy education: opportunities to reach adults with limited literacy skills. Cancer Control. 2003;10(5 Suppl):81–3.

    PubMed  Google Scholar 

  11. Gazmararian JA, Baker DW, Williams MV, Parker RM, Scott TL, Green DC, et al. Health literacy among Medicare enrollees in a managed care organization. JAMA. 1999;281:545–51.

    Article  CAS  PubMed  Google Scholar 

  12. Paasche-Orlow M, Parker R, Gazmararian J, Nielsen-Bohlman L, Rudd R. The prevalence of limited health literacy. J Gen Intern Med. 2005;20:175–84.

    Article  PubMed  Google Scholar 

  13. Parikh NS, Parker RM, Nurss JR, Baker DW, Williams MV. Shame and health literacy: The unspoken connection. Patient Educ Couns. 1996;27:33–39.

    Article  CAS  PubMed  Google Scholar 

  14. Baker DW, Gazmararian JA, Sudano J, Patterson M. The association between age and health literacy among elderly persons. J Geront, Ser. B Psychol Sci Soc Sci. 2000;55:S368–74.

    CAS  Google Scholar 

  15. Borson S, Scanlan J, Brush M, Vitaliano P, Dokmak A. The Mini-Cog: A cognitive ‘vital signs’ measure for dementia screening in multi-lingual elderly. Int J Geriatr Psychiatry. 2000;15:1021–27.

    Article  CAS  PubMed  Google Scholar 

  16. Sheikh K, Mattingly S. Investigating non-response bias in mail surveys. J Epidemiol Community health. 1981;35(4):293–6.

    Article  CAS  PubMed  Google Scholar 

  17. Davis TC, Long SW, Jackson RH, Mayeaux EJ, George RB, Murphy PW, et al. Rapid estimate of adult literacy in medicine: a shortened screening instrument. Fam Med. 1993;25:391–95.

    CAS  PubMed  Google Scholar 

  18. Davis TC, Michielutte R, Askov EN, Williams MV, Weiss BD. Practical assessment of adult literacy in health care. Health Educ Behav. 1998;25:613–24.

    Article  CAS  PubMed  Google Scholar 

  19. Nurss J, Parker R, Williams MV, Baker DW. TOFHLA-Test of Functional Health Literacy in Adults Manual. Camp, NC: Peppercorn Books and Press; 2001.

    Google Scholar 

  20. Chew LD, Bradley KA, Boyko EJ. Brief questions to identify patients with inadequate health literacy. Fam Med. 2004;36:588–94.

    PubMed  Google Scholar 

  21. Chew LD, Griffin JM, Partin M, Noorbaloochi S, Grill J, Snyder A, et al. Validation of screening questions for limited health literacy in a large outpatient population. J Gen Intern Med. 2008;23:561–66.

    Article  PubMed  Google Scholar 

  22. Kutner M, Greenberg E, Jin Y, Paulsen C. The Health Literacy of America’s Adults: Results From the 2003 National Assessment of Adult Literacy (NCES 2006-483). Washington, DC: National Center for Education Statistics, US Department of Education; 2006.

    Google Scholar 

  23. Deyo R, Cherkin D, Ciol M. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45:613–19.

    Article  CAS  PubMed  Google Scholar 

  24. Cochran W. Sampling Techniques. 3rd ed. New York: Wiley & Sons; 1977.

    Google Scholar 

  25. Allison PD. Missing Data. Thousand Oaks, CA: Sage Publications; 2001.

    Google Scholar 

  26. Rubin D. Multiple Imputation for Nonresponse in Surveys. New York, NY: John Wiley & Sons, Inc.; 1987.

    Book  Google Scholar 

  27. US Department of Health and Human Services. Healthy People 2010. Understanding and Improving Health. 2nd ed. Washington, DC: US Government Printing Office; 2000.

    Google Scholar 

  28. Weiss BD, Mays MZ, Martz W, Castro KM, DeWalt DA, Pignone MP, et al. Quick assessment of literacy in primary care: the newest vital sign. Ann Fam Med. 2005;3(6):514–22.

    Article  PubMed  Google Scholar 

  29. Baker DW. The meaning and the measure of health literacy. J Gen Intern Med. 2006;21:878–83.

    Article  PubMed  Google Scholar 

  30. Sheikh K. Predicting risk among non-respondents in prospective studies. Eur J Epidemiol. 1986;2(1):39–43.

    Article  CAS  PubMed  Google Scholar 

  31. Cottler LB, Zipp JF, Robins LN, Spitznagel EL. Difficult-to-recruit respondents and their effect on prevalence estimates in an epidemiologic survey. A J Epidemiol. 1987;125(2):329–39.

    CAS  Google Scholar 

  32. McNutt LA, Lee R. Intimate partner violence prevalence estimation using telephone surveys: understanding the effect of nonresponse bias. A J Epidemiol. 2000;152(5):438–41.

    Article  CAS  Google Scholar 

  33. Hardy RE, Ahmed NU, Hargreaves MK, Semenya KA, Wu L, Belay Y, et al. Difficulty in reaching low-income women for screening mammography. J Health Care Poor Underserved. 2000;11(1):45–57.

    CAS  Google Scholar 

  34. Kelly PA, Haidet P. Physician overestimation of patient literacy: A potential source of health care disparities. Patient Educ Couns. 2007;66:119–22.

    Article  PubMed  Google Scholar 

  35. Dolan NC, Ferreira MR, Davis TC, Fitzgibbon ML, Rademaker A, Liu D, et al. Colorectal cancer screening knowledge, attitudes, and beliefs among veterans: does literacy make a difference? J Clin Oncol. 2004;22:2617–22.

    Article  PubMed  Google Scholar 

  36. Eitelberg MJ, Laurence JH, Waters BK, Perelman LS. Screening for Service: Aptitude and Education Criteria for Military Entry. Office of the Naval Research. HumRRO FR-PRD-83-24. Alexandria, VA: Human Resources Research Organization; 1984.

    Google Scholar 

  37. Sticht, TG and Armstrong, WB.Adult Literacy in the United States. 1994. Retrieved February 8, 2010, from http://www.nald.ca/library/research/adlitUS/cover.htm.

  38. Kirsch I, Jungeblut A, Jenkins L, Kolstad A. Adult literacy in America: A first look at the results of the National Adult Literacy Survey. Washington, DC: National Center for Education, US Department of Education; 1993.

    Google Scholar 

Download references

Acknowledgements

This research was supported by the Department of Veterans Affairs, including a grant from VA Health Services Research and Development Service (CRI-03-151-1). Dr. Griffin also received support as a VA Merit Review Entry Program (MREP) awardee. Dr. Gralnek was supported by a VA HSR&D Advanced Research Career Development Award and IIS 01-191-1. The views expressed in this article are those of the author(s) and do not necessarily represent the views of the Department of Veterans Affairs or the United States Government. Part of this work was presented at the 24th Annual VA Health Services Research Meeting, Crystal City, VA, February 17, 2006. The authors wish to thank all the veteran participants for their time and the study interviewers for their commitment to this project.

Conflict of Interest

None disclosed.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joan M. Griffin PhD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Griffin, J.M., Partin, M.R., Noorbaloochi, S. et al. Variation in Estimates of Limited Health Literacy by Assessment Instruments and Non-Response Bias. J GEN INTERN MED 25, 675–681 (2010). https://doi.org/10.1007/s11606-010-1304-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-010-1304-2

KEY WORDS

Navigation