Evidence map›Paper›PMID 24246564›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2014

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

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

Registry-linked trialAbstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04102540 (Information Visualizations to Facilitate HIV-related Patient-provider Communication in New York City), which is not on this map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
11.5field-weighted citation impact, top 2% of its field
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.

NCT04102540 nacompletednot on this mapstarted 2019, after this paper: background citation

Information Visualizations to Facilitate HIV-related Patient-provider Communication in New York City (Info Viz: HIV-NYC)

TypeinterventionalSponsorColumbia UniversityRan2019 to 2020Enrolled32ConditionsHealth CommunicationArmsInfographic intervention
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 4 syntheses or guidelines pooled it, 143 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Information visualizations of symptom information for patients and providers: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  4. Visualization approaches to support healthy aging: A systematic review.Journal of innovation in health informatics · 2016
    Pooled it
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  7. Using Separate Single-Outcome Risk Presentations Instead of Integrated Multioutcome Formats Improves Comprehension in Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Trial
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  13. Article
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  17. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Review
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  19. Article
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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

10 authors at 2 institutions in 2 countries.

Brian J Zikmund-FisherDepartment of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI (BJZF).
Holly O WittemanCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI (BJZF, HOW, MD, AFF, VCK, NLE, MV, LGH, LDS, AF)
Mark DicksonCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI (BJZF, HOW, MD, AFF, VCK, NLE, MV, LGH, LDS, AF)
Andrea Fuhrel-ForbisCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI (BJZF, HOW, MD, AFF, VCK, NLE, MV, LGH, LDS, AF)
Valerie C KahnCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI (BJZF, HOW, MD, AFF, VCK, NLE, MV, LGH, LDS, AF)
Nicole L ExeCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI (BJZF, HOW, MD, AFF, VCK, NLE, MV, LGH, LDS, AF)
Melissa ValerioCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI (BJZF, HOW, MD, AFF, VCK, NLE, MV, LGH, LDS, AF)
Lisa G HoltzmanReThink Health, Morristown, NJ (LGH)
Laura D SchererCenter for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI (BJZF, HOW, MD, AFF, VCK, NLE, MV, LGH, LDS, AF)
Angela FagerlinDivision of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI (BJZF, AF)
University of Michigan–Ann Arbor · USUniversité Laval · CA

Funding

IDENTIFY &REDUCE COGNITIVE BIASES OF DECISION AIDSR01CA087595 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI UBEL, PETER A · 2002 to 2011
$4.2M
NCI NIH HHS R01 CA087595
6 · The paper itself

Abstract

backgroundResearch has demonstrated that icon arrays (also called "pictographs") are an effective method of communicating risk statistics and appear particularly useful to less numerate and less graphically literate people. Yet research is very limited regarding whether icon type affects how people interpret and remember these graphs.

methods1502 people age 35-75 from a demographically diverse online panel completed a cardiovascular risk calculator based on Framingham data using their actual age, weight, and other health data. Participants received their risk estimate in an icon array graphic that used 1 of 6 types of icons: rectangular blocks, filled ovals, smile/frown faces, an outline of a person's head and shoulders, male/female "restroom" person icons (gender matched), or actual head-and-shoulder photographs of people of varied races (gender matched). In each icon array, blue icons represented cardiovascular events and gray icons represented those who would not experience an event. We measured perceived risk magnitude, approximate recall, and opinions about the icon arrays, as well as subjective numeracy and an abbreviated measure of graphical literacy.

resultsRisk recall was significantly higher with more anthropomorphic icons (restroom icons, head outlines, and photos) than with other icon types, and participants rated restroom icons as most preferred. However, while restroom icons resulted in the highest correlations between perceived and actual risk among more numerate/graphically literate participants, they performed no better than other icon types among less numerate/graphically literate participants.

conclusionsIcon type influences both risk perceptions and risk recall, with restroom icons in particular resulting in improved outcomes. However, optimal icon types may depend on numeracy and/or graphical literacy skills.

Indexed as

ArtCommunicationAdultAgedAge FactorsBlood PressureBody Mass IndexCardiovascular DiseasesCholesterolFemaleHealth BehaviorHumansMaleMiddle AgedRisk AssessmentRisk FactorsCholesteroldecision aidspatient education as topicpatient-provider communicationriskvisual aids

Identifiers

PMID24246564
PMCPMC3991751
OpenAlexW1965692977

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.