Evidence map›Paper›PMID 16929039›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA

Design features of graphs in health risk communication: a systematic review.

Jessica S Ancker, Yalini Senathirajah, Rita Kukafka, Justin B Starren

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA. 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 177 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed, 5 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.

NCT04102540 nacompletednot on this map

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

177 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Taxonomies for synthesizing the evidence on communicating numbers in health: Goals, format, and structure.Risk analysis : an official publication of the Society for Risk Analysis · 2022
    Pooled it
  3. Pooled it
  4. Information visualizations of symptom information for patients and providers: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  5. Guideline
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  8. Mediational Effects on Motivation to Quit Smoking After Exposure to a Cigarette Pictorial Warning Label Among Young Adults.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
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117 more citing papers are in PubMed but not listed here.

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

4 authors.

Jessica S AnckerDepartment of Biomedical Informatics, Columbia University College of Physicians and Surgeons, 622 W. 168th Street, Vanderbilt Clinic 5th Floor, New York, NY 10034, USA. jsa2002@columbia.edu
Yalini Senathirajah
Rita Kukafka
Justin B Starren

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
NLM NIH HHS 5T15-LM007079-15NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

This review describes recent experimental and focus group research on graphics as a method of communication about quantitative health risks. Some of the studies discussed in this review assessed effect of graphs on quantitative reasoning, others assessed effects on behavior or behavioral intentions, and still others assessed viewers' likes and dislikes. Graphical features that improve the accuracy of quantitative reasoning appear to differ from the features most likely to alter behavior or intentions. For example, graphs that make part-to-whole relationships available visually may help people attend to the relationship between the numerator (the number of people affected by a hazard) and the denominator (the entire population at risk), whereas graphs that show only the numerator appear to inflate the perceived risk and may induce risk-averse behavior. Viewers often preferred design features such as visual simplicity and familiarity that were not associated with accurate quantitative judgments. Communicators should not assume that all graphics are more intuitive than text; many of the studies found that patients' interpretations of the graphics were dependent upon expertise or instruction. Potentially useful directions for continuing research include interactions with educational level and numeracy and successful ways to communicate uncertainty about risk.

Indexed as

Audiovisual AidsCommunicationHumansRisk AssessmentRisk-TakingSurvival Analysis

Identifiers

PMID16929039
PMCPMC1656964

What OpenQuestion holds

Textmetadata
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.