Evidence map›Paper›PMID 22832208›Full record

ArticleJournal of medical Internet research2012

Animated graphics for comparing two risks: a cautionary tale.

Brian J Zikmund-Fisher, Holly O Witteman, Andrea Fuhrel-Forbis, Nicole L Exe, Valerie C Kahn, Mark Dickson

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of medical Internet research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Insufficient evidence for interactive or animated graphics for communicating probability.Journal of the American Medical Informatics Association : JAMIA · 2024
    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. Does Animation Improve Comprehension of Risk Information in Patients with Low Health Literacy? A Randomized Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Trial
  5. A new graphical format to communicate treatment effects to patients-A web-based randomized controlled trial.Health expectations : an international journal of public participation in health care and health policy · 2017
    Trial
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  14. Development and Testing of Shared Decision Making Interventions for Use in Emergency Care: A Research Agenda.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2016
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  17. 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
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  19. Review
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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

6 authors.

Brian J Zikmund-FisherDepartment of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States. bzikmund@umich.edu
Holly O Witteman
Andrea Fuhrel-Forbis
Nicole L Exe
Valerie C Kahn
Mark Dickson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing use of computer-administered risk communications affords the potential to replace static risk graphics with animations that use motion cues to reinforce key risk messages. Research on the use of animated graphics, however, has yielded mixed findings, and little research exists to identify the specific animations that might improve risk knowledge and patients' decision making.

objectiveTo test whether viewing animated forms of standard pictograph (icon array) risk graphics displaying risks of side effects would improve people's ability to select the treatment with the lowest risk profile, as compared with viewing static images of the same risks.

methodsA total of 4198 members of a demographically diverse Internet panel read a scenario about two hypothetical treatments for thyroid cancer. Each treatment was described as equally effective but varied in side effects (with one option slightly better than the other). Participants were randomly assigned to receive all risk information in 1 of 10 pictograph formats in a quasi-factorial design. We compared a control condition of static grouped icons with a static scattered icon display and with 8 Flash-based animated versions that incorporated different combinations of (1) building the risk 1 icon at a time, (2) having scattered risk icons settle into a group, or (3) having scattered risk icons shuffle themselves (either automatically or by user control). We assessed participants' ability to choose the better treatment (choice accuracy), their gist knowledge of side effects (knowledge accuracy), and their graph evaluation ratings, controlling for subjective numeracy and need for cognition.

resultsWhen compared against static grouped-icon arrays, no animations significantly improved any outcomes, and most showed significant performance degradations. However, participants who received animations of grouped icons in which at-risk icons appeared 1 at a time performed as well on all outcomes as the static grouped-icon control group. Displays with scattered icons (static or animated) performed particularly poorly unless they included the settle animation that allowed users to view event icons grouped.

conclusionsMany combinations of animation, especially those with scattered icons that shuffle randomly, appear to inhibit knowledge accuracy in this context. Static pictographs that group risk icons, however, perform very well on measures of knowledge and choice accuracy. These findings parallel recent evidence in other data communication contexts that less can be more-that is, that simpler, more focused information presentation can result in improved understanding. Decision aid designers and health educators should proceed with caution when considering the use of animated risk graphics to compare two risks, given that evidence-based, static risk graphics appear optimal.

Indexed as

Computer GraphicsHealth CommunicationInternetRiskAdultAgedData CollectionFemaleHumansMaleMiddle AgedPatient Education as TopicThyroid NeoplasmsYoung Adult

Identifiers

PMID22832208
PMCPMC3409597

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.