Evidence map›Paper›PMID 37156935›Full record

ReviewNature medicine2023

Communicating health information with visual displays.

Steven Woloshin, Yanran Yang, Baruch Fischhoff

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
  2. Reframing Communication about Fall Prevention Programs to Increase Older Adults' Intentions to Participate.International journal of environmental research and public health · 2024
    Trial
  3. Trial
  4. Navigating the Prescription Drug Information System.Clinical pharmacology and therapeutics · 2026
    Review
  5. Turning policy implications into policy impact: Lessons from behavioral science in financial markets.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Applied behavioral and decision sciences in support of US FDA's drug regulatory mission.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Information sampling and Bayesian belief formation in statistical judgment.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Designing Better Resources: Consumer Experiences, Priorities and Preferences Regarding Contemporary Nutrition Education Materials.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Article
  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
  18. Article
  19. Review
  20. 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

3 authors.

Steven WoloshinDartmouth Institute, Lebanon, NH, USA. steven.woloshin@dartmouth.edu.ORCID http://orcid.org/0000-0003-2311-1005
Yanran YangCarnegie Mellon University, Pittsburgh, PA, USA.
Baruch FischhoffCarnegie Mellon University, Pittsburgh, PA, USA.

Funding

CDC HHS
6 · The paper itself

Abstract

Well-designed visual displays have the power to convey health messages in clear, effective ways to non-experts, including journalists, patients and policymakers. Poorly designed visual displays, however, can confuse and alienate recipients, undermining health messages. In this Perspective, we propose a structured framework for effective visual communication of health information, using case examples of three common communication tasks: comparing treatment options, interpreting test results, and evaluating risk scenarios. We also show simple, practical ways to evaluate a design's success and guide improvements. The proposed framework is grounded in research on health risk communication, visualization and decision science, as well as our experience in communicating health data.

Indexed as

CommunicationHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.