Literature DB >> 19050227

Health literacy and cancer risk perception: implications for genomic risk communication.

Noel T Brewer1, Janice P Tzeng, Sarah E Lillie, Alrick S Edwards, Jeffrey M Peppercorn, Barbara K Rimer.   

Abstract

BACKGROUND: As new genomic technology expands the number of medical tests available to physicians and patients, identifying gaps in our understanding of how best to communicate risk is increasingly important. We examined how health literacy informs breast cancer survivors' understanding of and meaning assigned to recurrence risks yielded by genomic tests.
METHODS: Study participants were posttreatment female breast cancer survivors (N =163) recruited at a university breast cancer clinic. We assessed their health literacy (using REALM) and their interpretation of hypothetical recurrence risk results from a genomic test, presented in several verbal and numerical formats. Analyses controlled for women's objective recurrence risk, age, income, and race.
RESULTS: Women with lower health literacy gave higher mean estimates of recurrence risk for a hypothetical group of women with early-stage breast cancer than did women with higher health literacy (52% v. 30%, P < 0:001). Women with lower health literacy also gave more variable estimates in this and several other tasks. When making chemotherapy decisions using risks presented in verbal formats, decisions by women with lower health literacy were less sensitive to the difference between low and high recurrence risk. Ease of understanding of risk formats differed by health literacy.
CONCLUSIONS: Health literacy affected the meanings women assigned to recurrence risk when presented in certain formats. The greater variability in responding by women with lower health literacy supports the hypothesis that they have less precise mental representations of risk, but more research is needed to rule out other possible explanations.

Entities:  

Mesh:

Year:  2008        PMID: 19050227     DOI: 10.1177/0272989X08327111

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  39 in total

1.  Strategies for defining an optimal risk-benefit ratio for stress myocardial perfusion SPECT.

Authors:  Reza Fazel; Vasken Dilsizian; Andrew J Einstein; Edward P Ficaro; Milena Henzlova; Leslee J Shaw
Journal:  J Nucl Cardiol       Date:  2011-05       Impact factor: 5.952

Review 2.  Risk as an attribute in discrete choice experiments: a systematic review of the literature.

Authors:  Mark Harrison; Dan Rigby; Caroline Vass; Terry Flynn; Jordan Louviere; Katherine Payne
Journal:  Patient       Date:  2014       Impact factor: 3.883

3.  [Factors Influencing Health Behavior Related to Particulate Matter in Older Adults].

Authors:  Min Kyung Park; Gwang Suk Kim
Journal:  J Korean Acad Nurs       Date:  2020-06       Impact factor: 0.984

4.  Suboptimal health literacy in patients with lung cancer or head and neck cancer.

Authors:  Kelvin Koay; Penelope Schofield; Karla Gough; Rachelle Buchbinder; Danny Rischin; David Ball; June Corry; Richard H Osborne; Michael Jefford
Journal:  Support Care Cancer       Date:  2013-03-19       Impact factor: 3.603

5.  Multilevel Influences on Patient-Oncologist Communication about Genomic Test Results: Oncologist Perspectives.

Authors:  Suzanne C O'Neill; Kathryn L Taylor; Jonathan Clapp; Jinani Jayasekera; Claudine Isaacs; Deena Mary Atieh Graham; Stuart L Goldberg; Jeanne Mandelblatt
Journal:  J Health Commun       Date:  2018-08-21

6.  Health literacy and cancer prevention: two new instruments to assess comprehension.

Authors:  Kathleen M Mazor; Douglas W Roblin; Andrew E Williams; Sarah M Greene; Bridget Gaglio; Terry S Field; Mary E Costanza; Paul K J Han; Laura Saccoccio; Josephine Calvi; Erica Cove; Rebecca Cowan
Journal:  Patient Educ Couns       Date:  2012-01-13

7.  Impact of literacy and numeracy on motivation for behavior change after diabetes genetic risk testing.

Authors:  Jason L Vassy; Kelsey E O'Brien; Jessica L Waxler; Elyse R Park; Linda M Delahanty; Jose C Florez; James B Meigs; Richard W Grant
Journal:  Med Decis Making       Date:  2012-01-12       Impact factor: 2.583

8.  The Outcome Evaluation of a CHW Cancer Prevention Intervention: Testing Individual and Multilevel Predictors Among Hispanics Living Along the Texas-Mexico Border.

Authors:  Katharine Nimmons; Christopher E Beaudoin; Julie A St John
Journal:  J Cancer Educ       Date:  2017-03       Impact factor: 2.037

9.  Impact of delivery models on understanding genomic risk for type 2 diabetes.

Authors:  S B Haga; W T Barry; R Mills; L Svetkey; S Suchindran; H F Willard; G S Ginsburg
Journal:  Public Health Genomics       Date:  2014-02-27       Impact factor: 2.000

10.  Communicating Numerical Risk: Human Factors That Aid Understanding in Health Care.

Authors:  Priscila G Brust-Renck; Caisa E Royer; Valerie F Reyna
Journal:  Rev Hum Factors Ergon       Date:  2013-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.