Evidence map›Paper›PMID 37354553›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Designing an infographic webtool for public health.

Riley Cullen, Elizabeth Heitkemper, Uba Backonja, Betty Bekemeier, Ha-Kyung Kong

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Advancing the science of visualization of health data for lay audiences.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  2. 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.

Riley CullenDepartment of Computer Science, Seattle University, Seattle, Washington, USA.
Elizabeth HeitkemperSchool of Nursing, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0001-9537-5195
Uba BackonjaDepartment of Biomedical Informatics Medical Education, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0002-5997-549X
Betty BekemeierDepartment of Child, Family, and Population Health Nursing, University of Washington School of Nursing, Seattle, Washington, USA.
Ha-Kyung KongDepartment of Computer Science, Seattle University, Seattle, Washington, USA.

Funding

HHS 1 CPIMP171144-01-00
6 · The paper itself

Abstract

objectiveTo create and evaluate a public health informatics tool, Florence, for communicating information to the public. MATERIALS AND

methodsThis user-centered design study included 3 phases: (1) an interview and survey study with public health practitioners to assess needs for creating infographics; (2) the application of assessment findings and public health-motivated design guidelines to the design and development of a public health-specific infographic design tool; and (3) a feasibility and usability study to evaluate the feasibility and usability of the tool.

resultsIn phase 1, participants noted the importance of tailoring infographics to an audience and wanted flexible tools along with design guidance to help make fewer design decisions. In phase 2, we developed a prototype tool with: (1) layout and functionality familiar to PH users, (2) quick and intuitive ways to add and modify data in visualizations, and (3) health-focused visual elements. In phase 3, participants found Florence to be usable, providing an intuitive and straightforward experience, and that the focus on public health was useful. DISCUSSION: Based on needs assessments and existing literature, we created Florence along with public health practitioners to address their domain specific needs, ultimately leading to a tool that participants in our study deemed useful. Future research can build on our work to develop user-centered tools to meet their needs.

conclusionInfographics are important for public health communication. Creating user-centered solutions to address the unique needs of public health can support communication efforts.

Indexed as

Computer GraphicsPublic HealthSoftwareAdultData VisualizationFemaleHealth PersonnelHumansMaleMiddle AgedNeeds AssessmentWeb BrowserWorkflowdata visualizationinfographicinformaticsnursing informaticspublic health

Identifiers

PMID37354553
PMCPMC10797264

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.