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Racial Disparities in Cancer-Related Health
   Literacy and Communication Skills
Roblin DW1, Mazor KM2, 3, Cutrona S2, 3, Torres-Stone R2,
    Robinson BE1, Williams AE4, Gaglio B5, Wagner J3

  3. Center for Health Research / Southeast, Kaiser Permanente Georgia
            4. University of Massachusetts Medical School
                   5. Meyers Primary Care Institute
   6. Center for Health Research / Hawai’i, Kaiser Permanente Hawai’I
     7. Division of Research, Kaiser Permanente Mid-Atlantic States

            HMO Research Network Annual Conference
                         Seattle, WA
                         May 2, 2012

                                                                         1
Background

• Competence in verbal and print literacy has important
  implications for:
   – Patient-provider communication
   – Treatment adherence
   – Health outcomes.
• On average, African American adults have lower health
  literacy than Caucasians.
   – Comparisons of average literacy levels by race are confounded by
     lower levels of education achieved by African Americans.
   – Average literacy increases with higher levels of educational
     achievement.



                                                                        2
Objectives

• Primary objectives
   – Ascertain the independent effects of oral and print literacy by race
     and level of education
   – Ascertain if race moderates the relationship between education and
     literacy
• Secondary objectives
   – Ascertain the independent effects of race and education or literacy
     on communication skills (frequent internet use, preference for
     listening vs. reading of new health information, difficulty
     understanding rapid speech)
   – Ascertain if race moderates the relationship between education or
     literacy and communication skills


                                                                            3
Conceptual Model
• Educational disadvantage has historically burdened
  African Americans relative to Caucasians in the US.
   – Under-resourcing of public schools
   – Under-resourcing of the domestic learning environment


• Implications of public under-resourcing of public
  education on educational achievement compounded by
  domestic under-resourcing and support of learning.
   – Personal selection and institutional selection leading to lower
     levels of educational attainment
   – Lower quality of learning environment for equal levels of
     educational attainment

                                                                       4
Conceptual Model

• Higher levels of educational attainment, however, mitigate
  earlier effects of disparities in the learning environment.
   – Selection: Motivation of students who progress to higher levels
   – Resourcing: Resourcing differentials less associated with race


• Implications
   – Disadvantaged students are less likely to progress to higher levels
     of education than advantaged students.
   – Performance gap between disadvantaged and advantaged students
     narrows with higher levels of educational achievement.




                                                                           5
Methods
• Data were obtained from 2-hour in-person assessments
  conducted at Kaiser Permanente Georgia (KPGA) in 2010
   – Study goal: Develop psychometrically valid scale of oral (i.e.
     verbal or spoken) cancer-related health literacy
   – 40-70 year old enrollees (N=279 completed)
   – KPGA enrollees selected using a stratified random sample
       • Strata defined by area-based race and educational attainment
   – Item construction
       • Oral assessment: “Same” or “different” responses to paraphrased statements
         following viewing of 1-3 minute videoclips
       • Print assessment: “Same” or “different” responses to paraphrased statements
         following reading of 1-3 paragraph vignettes




                                                                                       6
Methods

• Literacy measures
   – Health literacy – Oral: 45 items summarized into a single scale
     scored from 0 (low) to 100 (high)
   – Health literacy – Print: 21 items summarized into a single scale
     scored from 0 (low) to 100 (high)
   – REALM (Rapid Estimate of Adult Literacy in Medicine): number
     of 66 items pronounced correctly (ranged from 10 to 66 in the
     study population)
• Communication skills measures
   – “Frequent” internet use: 5-7 days per week vs. 0-4 days
   – Preference for hearing vs. reading new information on cancer
     prevention
   – Difficulty understanding rapid speech
                                                                        7
Methods
• Linear analyses of variance of oral literacy, print literacy,
  and REALM scores
   – Primary independent variables: self-reported race, education, and
     their interaction


                                     Race

                                               b(1)

                              c(1)


                                                Literacy:

                                                -- Oral
              Education
                                     a(1)       -- Print

                                                --REALM




                                                                         8
Methods
• Logistic analyses of variance of frequent internet use,
  preference for hearing vs. reading, difficulty
  understanding rapid speech
   – Primary independent variables: self-reported race,
     education/literacy, and their interaction

                                 Race      b(2)


                          c(2)
             Education                  Communication Skills:

             Literacy:                  -- Frequency of Computer Use

             -- Oral                    -- Preference for Spoken vs.
                                 a(2)   Printed Words
             -- Print
                                        -- Ability to Understand Rapid
              -- REALM                  Speech




                                                                         9
Results
• Within levels of educational attainment, greatest
  differences in average health-related literacy by race were
  at the lower levels.
   – Differences decreased, but did not disappear, at higher levels of
     education.




                                                                         10
Results

• Education had a significant, graded association with oral
  and print literacy and REALM scores [a(1) path]

• African Americans had significantly lower oral health
  literacy [b(1) path]

• Race moderated the relationship between education and
  oral and print literacy and REALM scores [c(1) path]
   – HLO: -8.9 for HS or less (p=0.05)
   – HLP: -11.0 for some college (p=0.02)
   – REALM: -4.1 for HS or less (p=0.06)




                                                              11
Results
• Low levels of education, oral or print literacy, and
  REALM scores were significantly associated with less
  frequent weekly computer use [a(2) path]
   – Race had no significant independent [b(2) path] or moderating
     [c(2)] effects

• Low levels of education and REALM scores were
  significantly associated with more difficulty understanding
  rapid speech
   – Race had no significant independent or moderating effects

• No significant associations of education, oral or print
  literacy, REALM scores or race with preference for
  hearing vs. reading materials on new cancer prevention
  services.
                                                                     12
Conclusions
• Adults with lower levels of educational attainment
  (particularly HS education or less) have lower levels of
  health-related literacy.
   – With comparable levels of educational attainment, African
     Americans have lower levels of health-related literacy than
     Caucasians.
       • Legacy costs of educational disparities
       • “Education policy is also health policy”.

• Educational attainment and health literacy, to some extent,
  are related to communication skills.
   – Adjusting for education, race has no association.
   – Low educational attainment or literacy particularly affected
     internet use.
                                                                    13
Conclusions
• Limitations:
   – Small sample size
   – Limited number of covariates
       • Educational quality
       • Family history
   – Selection effects
       • Individuals with history of cancer, personal or familial, likely to have
         participated


• Strengths:
   – Unique dataset with batteries of validated measures
   – Systematically developed computer-based assessment ensuring
     high quality data



                                                                                    14
Acknowledgements

• Funding
   – NCI, 5U19CA079689 for the HMO Cancer Research Network
     (EH Wagner, PI) and subproject 3 “Health Literacy and Cancer
     Prevention: Do People Understand What They Hear?” (KM
     Mazor, PI)
• Project Team
   – UMass / MPCI: Kathleen Mazor, Terry Field, Joann Wagner,
     Mary Costanza, Rosalie Torres-Stone, Sarah Cutrona
   – KPGA: Douglas Roblin, Jody Calvi, Brandi Robinson
   – KPHI: Andrew Williams, Vinutha Vijayadeva
   – KPCO: Bridget Gaglio




                                                                    15

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Disparities in Cancer Related Health Literacy Between African American and Caucasian Adults ROBIN

  • 1. Racial Disparities in Cancer-Related Health Literacy and Communication Skills Roblin DW1, Mazor KM2, 3, Cutrona S2, 3, Torres-Stone R2, Robinson BE1, Williams AE4, Gaglio B5, Wagner J3 3. Center for Health Research / Southeast, Kaiser Permanente Georgia 4. University of Massachusetts Medical School 5. Meyers Primary Care Institute 6. Center for Health Research / Hawai’i, Kaiser Permanente Hawai’I 7. Division of Research, Kaiser Permanente Mid-Atlantic States HMO Research Network Annual Conference Seattle, WA May 2, 2012 1
  • 2. Background • Competence in verbal and print literacy has important implications for: – Patient-provider communication – Treatment adherence – Health outcomes. • On average, African American adults have lower health literacy than Caucasians. – Comparisons of average literacy levels by race are confounded by lower levels of education achieved by African Americans. – Average literacy increases with higher levels of educational achievement. 2
  • 3. Objectives • Primary objectives – Ascertain the independent effects of oral and print literacy by race and level of education – Ascertain if race moderates the relationship between education and literacy • Secondary objectives – Ascertain the independent effects of race and education or literacy on communication skills (frequent internet use, preference for listening vs. reading of new health information, difficulty understanding rapid speech) – Ascertain if race moderates the relationship between education or literacy and communication skills 3
  • 4. Conceptual Model • Educational disadvantage has historically burdened African Americans relative to Caucasians in the US. – Under-resourcing of public schools – Under-resourcing of the domestic learning environment • Implications of public under-resourcing of public education on educational achievement compounded by domestic under-resourcing and support of learning. – Personal selection and institutional selection leading to lower levels of educational attainment – Lower quality of learning environment for equal levels of educational attainment 4
  • 5. Conceptual Model • Higher levels of educational attainment, however, mitigate earlier effects of disparities in the learning environment. – Selection: Motivation of students who progress to higher levels – Resourcing: Resourcing differentials less associated with race • Implications – Disadvantaged students are less likely to progress to higher levels of education than advantaged students. – Performance gap between disadvantaged and advantaged students narrows with higher levels of educational achievement. 5
  • 6. Methods • Data were obtained from 2-hour in-person assessments conducted at Kaiser Permanente Georgia (KPGA) in 2010 – Study goal: Develop psychometrically valid scale of oral (i.e. verbal or spoken) cancer-related health literacy – 40-70 year old enrollees (N=279 completed) – KPGA enrollees selected using a stratified random sample • Strata defined by area-based race and educational attainment – Item construction • Oral assessment: “Same” or “different” responses to paraphrased statements following viewing of 1-3 minute videoclips • Print assessment: “Same” or “different” responses to paraphrased statements following reading of 1-3 paragraph vignettes 6
  • 7. Methods • Literacy measures – Health literacy – Oral: 45 items summarized into a single scale scored from 0 (low) to 100 (high) – Health literacy – Print: 21 items summarized into a single scale scored from 0 (low) to 100 (high) – REALM (Rapid Estimate of Adult Literacy in Medicine): number of 66 items pronounced correctly (ranged from 10 to 66 in the study population) • Communication skills measures – “Frequent” internet use: 5-7 days per week vs. 0-4 days – Preference for hearing vs. reading new information on cancer prevention – Difficulty understanding rapid speech 7
  • 8. Methods • Linear analyses of variance of oral literacy, print literacy, and REALM scores – Primary independent variables: self-reported race, education, and their interaction Race b(1) c(1) Literacy: -- Oral Education a(1) -- Print --REALM 8
  • 9. Methods • Logistic analyses of variance of frequent internet use, preference for hearing vs. reading, difficulty understanding rapid speech – Primary independent variables: self-reported race, education/literacy, and their interaction Race b(2) c(2) Education Communication Skills: Literacy: -- Frequency of Computer Use -- Oral -- Preference for Spoken vs. a(2) Printed Words -- Print -- Ability to Understand Rapid -- REALM Speech 9
  • 10. Results • Within levels of educational attainment, greatest differences in average health-related literacy by race were at the lower levels. – Differences decreased, but did not disappear, at higher levels of education. 10
  • 11. Results • Education had a significant, graded association with oral and print literacy and REALM scores [a(1) path] • African Americans had significantly lower oral health literacy [b(1) path] • Race moderated the relationship between education and oral and print literacy and REALM scores [c(1) path] – HLO: -8.9 for HS or less (p=0.05) – HLP: -11.0 for some college (p=0.02) – REALM: -4.1 for HS or less (p=0.06) 11
  • 12. Results • Low levels of education, oral or print literacy, and REALM scores were significantly associated with less frequent weekly computer use [a(2) path] – Race had no significant independent [b(2) path] or moderating [c(2)] effects • Low levels of education and REALM scores were significantly associated with more difficulty understanding rapid speech – Race had no significant independent or moderating effects • No significant associations of education, oral or print literacy, REALM scores or race with preference for hearing vs. reading materials on new cancer prevention services. 12
  • 13. Conclusions • Adults with lower levels of educational attainment (particularly HS education or less) have lower levels of health-related literacy. – With comparable levels of educational attainment, African Americans have lower levels of health-related literacy than Caucasians. • Legacy costs of educational disparities • “Education policy is also health policy”. • Educational attainment and health literacy, to some extent, are related to communication skills. – Adjusting for education, race has no association. – Low educational attainment or literacy particularly affected internet use. 13
  • 14. Conclusions • Limitations: – Small sample size – Limited number of covariates • Educational quality • Family history – Selection effects • Individuals with history of cancer, personal or familial, likely to have participated • Strengths: – Unique dataset with batteries of validated measures – Systematically developed computer-based assessment ensuring high quality data 14
  • 15. Acknowledgements • Funding – NCI, 5U19CA079689 for the HMO Cancer Research Network (EH Wagner, PI) and subproject 3 “Health Literacy and Cancer Prevention: Do People Understand What They Hear?” (KM Mazor, PI) • Project Team – UMass / MPCI: Kathleen Mazor, Terry Field, Joann Wagner, Mary Costanza, Rosalie Torres-Stone, Sarah Cutrona – KPGA: Douglas Roblin, Jody Calvi, Brandi Robinson – KPHI: Andrew Williams, Vinutha Vijayadeva – KPCO: Bridget Gaglio 15