Volume 54, Issue 5 p. 770-776

Limited Literacy in Older People and Disparities in Health and Healthcare Access

Rebecca L. Sudore MD

Rebecca L. Sudore MD

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Kala M. Mehta DSc

Kala M. Mehta DSc

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Eleanor M. Simonsick PhD

Eleanor M. Simonsick PhD

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Tamara B. Harris MD

Tamara B. Harris MD

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Anne B. Newman MD, MPH

Anne B. Newman MD, MPH

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Suzanne Satterfield MD

Suzanne Satterfield MD

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Caterina Rosano MD, MPH

Caterina Rosano MD, MPH

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Ronica N. Rooks PhD

Ronica N. Rooks PhD

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Susan M. Rubin MPH

Susan M. Rubin MPH

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Hilsa N. Ayonayon PhD

Hilsa N. Ayonayon PhD

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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Kristine Yaffe MD

Kristine Yaffe MD

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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for the Health, Aging and Body Composition Study

for the Health, Aging and Body Composition Study

From the * Department of Medicine, Division of Geriatrics, and Departments of Epidemiology and Biostatistics, Neurology, and § Psychiatry, University of California, San Francisco, San Francisco, California; Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania # Department of Preventive Medicine, University of Tennessee, Memphis, Tennessee ** Department of Sociology, Kent State University, Kent, Ohio †† Clinical Research Branch, National Institute on Aging, Baltimore, Maryland ‡‡ Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland.

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First published: 02 May 2006
Citations: 289
Address correspondence to Rebecca Sudore, MD, University of California, San Francisco, VAMC, 4150 Clement Street, Box 181, San Francisco, CA 94121. E-mail: [email protected]

The results of this study were presented at the Society of General Internal Medicine Annual Meeting, Chicago, Illinois, June 2004, and the American Academy of the Physician and Patient Annual Meeting, Indianapolis, Indiana, October 2004.

Abstract

OBJECTIVES: To determine the relationship between health literacy, demographics, and access to health care.

DESIGN: Cross-sectional study, Health, Aging and Body Composition data (1999/2000).

SETTING: Memphis, Tennessee, and Pittsburgh, Pennsylvania.

PARTICIPANTS: Two thousand five hundred twelve black and white community-dwelling older people who were well functioning at baseline (without functional difficulties or dementia).

MEASUREMENTS: Participants' health literacy was assessed using the Rapid Estimate of Adult Literacy in Medicine. Scores were categorized into 0 to sixth-, seventh- to eighth-, and ninth-grade and higher reading levels (limited health literacy defined as <9th grade). Participants' demographics, socioeconomic status, comorbidities, and three indicators of healthcare access (whether they had a doctor/regular place of medical care, an influenza vaccination within the year, or insurance for medications) were also assessed.

RESULTS: Participants' mean age was 75.6, 52% were female, 38% were black, and 24% had limited health literacy. After adjusting for sociodemographics, associations remained between limited health literacy and being male, being black, and having low income and education, diabetes mellitus, depressive symptoms, and fair/poor self-rated health (P<.02). After adjusting for sociodemographics, health status, and comorbidities, older people with a sixth-grade reading level or lower were twice as likely to have any of the three indicators of poor healthcare access (odds ratio=1.96, 95% confidence interval=1.34–2.88).

CONCLUSION: Limited health literacy was prevalent and was associated with low socioeconomic status, comorbidities, and poor access to health care, suggesting that it may be an independent risk factor for health disparities in older people.