Evidence map›Paper›PMID 26174865›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Sometimes more is more: iterative participatory design of infographics for engagement of community members with varying levels of health literacy.

Adriana Arcia, Niurka Suero-Tejeda, Michael E Bales, Jacqueline A Merrill, Sunmoo Yoon, Janet Woollen, Suzanne Bakken

3 registry-linked trialsAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 90 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 4 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.

NCT03616106 nacompletednot on this mapstarted 2018, after this paper: background citation

Information Visualizations to Facilitate Patient-provider Communication in HIV Care: Info Viz HIV

TypeinterventionalSponsorColumbia UniversityRan2018 to 2019Enrolled59ConditionsHealth CommunicationArmsInfographic intervention
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
NCT04564209 nacompletednot on this mapstarted 2021, after this paper: background citation

Information Visualizations to Facilitate Clinician-patient Communication in HIV Care (Info Viz: HIV)

TypeinterventionalSponsorUniversity of Colorado, DenverRan2021 to 2023Enrolled164ConditionsHIV, Communication ResearchArmsInfo Viz for Health
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities.International journal of environmental research and public health · 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. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Article
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  16. Development of web- and mobile-based shared decision-making tools in the neurological intensive care unit.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

30 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

7 authors.

Adriana ArciaSchool of Nursing, Columbia University, New York, USA adrianaxarcia@gmail.com.
Niurka Suero-TejedaSchool of Nursing, Columbia University, New York, USA.
Michael E BalesDepartment of Biomedical Informatics, Columbia University, New York, USA.
Jacqueline A MerrillSchool of Nursing & Department of Biomedical Informatics, Columbia University, New York, USA.
Sunmoo YoonSchool of Nursing & Department of Biomedical Informatics, Columbia University, New York, USA.
Janet WoollenDepartment of Biomedical Informatics, Columbia University, New York, USA.
Suzanne BakkenSchool of Nursing & Department of Biomedical Informatics, Columbia University, New York, USA.

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
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Washington Heights Initiative Community-based Comparative Effectiveness ResearchR01HS019853 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2010 to 2010
$8.9M
Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
WICER 4UR01HS022961 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2013 to 2013
$750k
AHRQ HHS 1R01HS019853AHRQ HHS 1R01HS022961AHRQ HHS R01 HS019853AHRQ HHS R01 HS022961NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1TR000040NINR NIH HHS T32 NR007969NINR NIH HHS T32NR007969NLM NIH HHS T15 LM007079PHS HHS T15LMLM007079
6 · The paper itself

Abstract

objectiveTo collaborate with community members to develop tailored infographics that support comprehension of health information, engage the viewer, and may have the potential to motivate health-promoting behaviors.

methodsThe authors conducted participatory design sessions with community members, who were purposively sampled and grouped by preferred language (English, Spanish), age group (18-30, 31-60, >60 years), and level of health literacy (adequate, marginal, inadequate). Research staff elicited perceived meaning of each infographic, preferences between infographics, suggestions for improvement, and whether or not the infographics would motivate health-promoting behavior. Analysis and infographic refinement were iterative and concurrent with data collection.

resultsSuccessful designs were information-rich, supported comparison, provided context, and/or employed familiar color and symbolic analogies. Infographics that employed repeated icons to represent multiple instances of a more general class of things (e.g., apple icons to represent fruit servings) were interpreted in a rigidly literal fashion and thus were unsuitable for this community. Preliminary findings suggest that infographics may motivate health-promoting behaviors. DISCUSSION: Infographics should be information-rich, contextualize the information for the viewer, and yield an accurate meaning even if interpreted literally.

conclusionCarefully designed infographics can be useful tools to support comprehension and thus help patients engage with their own health data. Infographics may contribute to patients' ability to participate in the Learning Health System through participation in the development of a robust data utility, use of clinical communication tools for health self-management, and involvement in building knowledge through patient-reported outcomes.

Indexed as

Audiovisual AidsHealth LiteracyAdultAgedFemaleHealth EducationHumansMaleMiddle Agedaudiovisual aidscomprehensionhealth communicationhealth literacypatient participation

Identifiers

PMID26174865
PMCPMC5009940

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.