Evidence map›Paper›PMID 22244322›Full record

ArticlePatient education and counseling2012

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

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

Abstract readEvaluation Study
In one paragraph

Article in Patient education and counseling, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Effectiveness of Visual Methods in Information Procedures for Stem Cell Recipients and Donors.Turkish journal of haematology : official journal of Turkish Society of Haematology · 2017
    Trial
  2. Article
  3. Observational
  4. Review
  5. An Exploratory Application of Eye-Tracking Methods in a Discrete Choice Experiment.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  6. Article
  7. Blocks, ovals, or people? Icon type affects risk perceptions and recall of pictographs.Medical decision making : an international journal of the Society for Medical Decision Making · 2014
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sabrina T WongMedical Effectiveness Research Center for Diverse Populations, UCSF, USA.
Eliseo J Pérez-Stable
Sue E Kim
Steven E Gregorich
George F Sawaya
Judith M E Walsh
A Eugene Washington
Celia P Kaplan

Funding

RESOURCE CENTER FOR AGING RESEARCH IN DIVERSE POPULATIONP30AG015272 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEAH S KARLINER · 1997 to 2026
$19.5M
REDES EN ACCION--CANCER AWARENESS, TRAINING AND RESEARCHU01CA086117 · NCI · BAYLOR COLLEGE OF MEDICINE · PI RAMIREZ, AMELIE G · 2000 to 2005
$9.0M
Race/ethnicity and trust in the doctor-patient relationshipP01HS010856 · AHRQ · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI WASHINGTON, A EUGENE · 2000 to 2004
–
AHRQ HHS 5P01 HS10856AHRQ HHS P01 HS010856NCI NIH HHS U01 CA086117NIA NIH HHS P30 AG015272NIA NIH HHS P30-AG15272
6 · The paper itself

Abstract

objectiveThis 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.

methodsCross-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.

resultsCorrect 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.

conclusionsRace/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.

Indexed as

Audiovisual AidsHealth BehaviorHealth Knowledge, Attitudes, PracticeAgedAged, 80 and overBreast NeoplasmsColonic NeoplasmsCross-Cultural ComparisonCross-Sectional StudiesDecision Support TechniquesEthnicityFemaleHumansMass ScreeningMiddle AgedPatient Acceptance of Health Care

Identifiers

PMID22244322
PMCPMC3359420

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.