Evidence map›Paper›PMID 22939094›Full record

Trial reportThe American journal of medicine2012

Using animated computer-generated text and graphics to depict the risks and benefits of medical treatment.

Alan R Tait, Terri Voepel-Lewis, Colleen Brennan-Martinez, Maureen McGonegal, Robert Levine

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The American journal of medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
64.0field-weighted citation impact, top 1% 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.

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

18 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. 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
  3. Trial
  4. The Lure of Beauty: People Select Representations of Statistical Information Largely Based on Attractiveness, Not Comprehensibility.Medical decision making : an international journal of the Society for Medical Decision Making
    Trial
  5. Differences in Data Trustworthiness and Risk Perception between Bar Graphs and Pictograms.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Examining perceptions of a smartphone-based intervention system for alcohol use disorders.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2014
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. 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

5 authors at 3 institutions in 1 country.

Alan R TaitDepartment of Anesthesiology, University of Michigan Health System, Ann Arbor, MI 48109, USA. atait@umich.edu
Terri Voepel-Lewis
Colleen Brennan-Martinez
Maureen McGonegal
Robert Levine
Michigan Medicine · USArchieMD (United States) · USUniversity of Michigan–Ann Arbor · US

Funding

Strategies to Optimize Communication of Informed Consent for Pediatric ResearchR01HD053594 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TAIT, ALAN R · 2007 to 2011
$1.6M
An Interactive Informed Consent Program for Cardiac ProceduresR42HL087488 · NHLBI · ARCHIEMD, INC. · PI LEVINE, ROBERT J, TAIT, ALAN R · 2010 to 2011
$977k
NHLBI NIH HHS 2R42HL087488NHLBI NIH HHS R42 HL087488NICHD NIH HHS R01 HD053594
6 · The paper itself

Abstract

objectiveConventional print materials for presenting risks and benefits of treatment are often difficult to understand. This study was undertaken to evaluate and compare subjects' understanding and perceptions of risks and benefits presented using animated computerized text and graphics.

methodsAdult subjects were randomized to receive identical risk/benefit information regarding taking statins that was presented on an iPad (Apple Corp, Cupertino, Calif) in 1 of 4 different animated formats: text/numbers, pie chart, bar graph, and pictograph. Subjects completed a questionnaire regarding their preferences and perceptions of the message delivery together with their understanding of the information. Health literacy, numeracy, and need for cognition were measured using validated instruments.

resultsThere were no differences in subject understanding based on the different formats. However, significantly more subjects preferred graphs (82.5%) compared with text (17.5%, P<.001). Specifically, subjects preferred pictographs (32.0%) and bar graphs (31.0%) over pie charts (19.5%) and text (17.5%). Subjects whose preference for message delivery matched their randomly assigned format (preference match) had significantly greater understanding and satisfaction compared with those assigned to something other than their preference.

conclusionsResults showed that computer-animated depictions of risks and benefits offer an effective means to describe medical risk/benefit statistics. That understanding and satisfaction were significantly better when the format matched the individual's preference for message delivery is important and reinforces the value of "tailoring" information to the individual's needs and preferences.

Indexed as

Audiovisual AidsComputer GraphicsPatient PreferenceAdultComprehensionFemaleHealth LiteracyHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMalePatient Education as TopicRiskRisk AssessmentHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID22939094
PMCPMC3639495
OpenAlexW2052662095

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.