Literature DB >> 22244322

Using visual displays to communicate risk of cancer to women from diverse race/ethnic backgrounds.

Sabrina T Wong1, Eliseo J Pérez-Stable, Sue E Kim, Steven E Gregorich, George F Sawaya, Judith M E Walsh, A Eugene Washington, Celia P Kaplan.   

Abstract

OBJECTIVE: This study evaluated how well women from diverse race/ethnic groups were able to take a quantitative cancer risk statistic verbally provided to them and report it in a visual format.
METHODS: Cross-sectional survey was administered in English, Spanish or Chinese, to women aged 50-80 (n=1160), recruited from primary care practices. The survey contained breast, colorectal or cervical cancer questions regarding screening and prevention. Women were told cancer-specific lifetime risk then shown a visual display of risk and asked to indicate the specific lifetime risk. Correct indication of risk was the main outcome.
RESULTS: Correct responses on icon arrays were 46% for breast, 55% for colon, and 44% for cervical; only 25% correctly responded to a magnifying glass graphic. Compared to Whites, African American and Latina women were significantly less likely to use the icon arrays correctly. Higher education and higher numeracy were associated with correct responses. Lower education was associated with lower numeracy.
CONCLUSIONS: Race/ethnic differences were associated with women's ability to take a quantitative cancer risk statistic verbally provided to them and report it in a visual format. PRACTICE IMPLICATIONS: Systematically considering the complexity of intersecting factors such as race/ethnicity, educational level, poverty, and numeracy in most health communications is needed.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22244322      PMCID: PMC3359420          DOI: 10.1016/j.pec.2011.11.014

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  31 in total

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3.  Statistical numeracy for health: a cross-cultural comparison with probabilistic national samples.

Authors:  Mirta Galesic; Rocio Garcia-Retamero
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4.  Women's perceptions of breast cancer risk: how you ask matters.

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Journal:  Med Decis Making       Date:  1999 Jul-Sep       Impact factor: 2.583

5.  Assessing values for health: numeracy matters.

Authors:  S Woloshin; L M Schwartz; M Moncur; S Gabriel; A N Tosteson
Journal:  Med Decis Making       Date:  2001 Sep-Oct       Impact factor: 2.583

6.  A 2020 vision of patient-centered primary care.

Authors:  Karen Davis; Stephen C Schoenbaum; Anne-Marie Audet
Journal:  J Gen Intern Med       Date:  2005-10       Impact factor: 5.128

7.  Pictures speak louder than numbers: on communicating medical risks to immigrants with limited non-native language proficiency.

Authors:  Rocio Garcia-Retamero; Mandeep K Dhami
Journal:  Health Expect       Date:  2011-03       Impact factor: 3.377

8.  Association between cancer risk perception and screening behavior among diverse women.

Authors:  Sue E Kim; Eliseo J Pérez-Stable; Sabrina Wong; Steve Gregorich; George F Sawaya; Judith M E Walsh; Celia P Kaplan
Journal:  Arch Intern Med       Date:  2008-04-14

9.  Preferences for human papillomavirus testing with routine cervical cancer screening in diverse older women.

Authors:  Alison J Huang; Eliseo J Pérez-Stable; Sue E Kim; Sabrina T Wong; Celia P Kaplan; Judith M E Walsh; A Yuri Iwaoka-Scott; George F Sawaya
Journal:  J Gen Intern Med       Date:  2008-05-28       Impact factor: 5.128

10.  Ending cervical cancer screening: attitudes and beliefs from ethnically diverse older women.

Authors:  George F Sawaya; A Yuri Iwaoka-Scott; Sue Kim; Sabrina T Wong; Alison J Huang; A Eugene Washington; Eliseo J Pérez-Stable
Journal:  Am J Obstet Gynecol       Date:  2008-10-30       Impact factor: 8.661

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  7 in total

1.  Willingness to use tamoxifen to prevent breast cancer among diverse women.

Authors:  Celia Patricia Kaplan; Sue E Kim; Sabrina T Wong; George F Sawaya; Judith M E Walsh; Eliseo J Pérez-Stable
Journal:  Breast Cancer Res Treat       Date:  2012-05       Impact factor: 4.872

2.  Decisional involvement and information preferences of patients with hematologic malignancies.

Authors:  Kah Poh Loh; Mazie Tsang; Thomas W LeBlanc; Anthony Back; Paul R Duberstein; Supriya Gupta Mohile; Ronald M Epstein; Heidi D Klepin; Michael W Becker; Areej El-Jawahri; Stephanie J Lee
Journal:  Blood Adv       Date:  2020-11-10

3.  Colorectal cancer screening: what do women from diverse ethnic groups want?

Authors:  Judith M E Walsh; Sue E Kim; George Sawaya; Celia P Kaplan; Sabrina T Wong; Steve E Gregorich; Eliseo J Pérez-Stable
Journal:  J Gen Intern Med       Date:  2012-09-12       Impact factor: 5.128

4.  Blocks, ovals, or people? Icon type affects risk perceptions and recall of pictographs.

Authors:  Brian J Zikmund-Fisher; Holly O Witteman; Mark Dickson; Andrea Fuhrel-Forbis; Valerie C Kahn; Nicole L Exe; Melissa Valerio; Lisa G Holtzman; Laura D Scherer; Angela Fagerlin
Journal:  Med Decis Making       Date:  2013-11-18       Impact factor: 2.583

5.  Latinos and Cancer Information: Perspectives of Patients, Health Professionals and Telephone Cancer Information Specialists.

Authors:  Celia P Kaplan; Anna Nápoles; Sharon Davis; Monica Lopez; Rena J Pasick; Jennifer Livaudais-Toman; Eliseo J Pérez-Stable
Journal:  J Health Dispar Res Pract       Date:  2016

6.  Effectiveness of Visual Methods in Information Procedures for Stem Cell Recipients and Donors.

Authors:  Çağla Sarıtürk; Çiğdem Gereklioğlu; Aslı Korur; Süheyl Asma; Mahmut Yeral; Soner Solmaz; Nurhilal Büyükkurt; Songül Tepebaşı; İlknur Kozanoğlu; Can Boğa; Hakan Özdoğu
Journal:  Turk J Haematol       Date:  2016-07-15       Impact factor: 1.831

7.  An Exploratory Application of Eye-Tracking Methods in a Discrete Choice Experiment.

Authors:  Caroline Vass; Dan Rigby; Kelly Tate; Andrew Stewart; Katherine Payne
Journal:  Med Decis Making       Date:  2018-08       Impact factor: 2.583

  7 in total

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