ArticleInformatics for health & social care2020
Color-encoding visualizations as a tool to assist a nonliterate population in completing health survey responses.
Article in Informatics for health & social care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Patient-Facing Visualizations of Personal Health Data.Applied clinical informatics · 2019Pooled it
- Bubble-Wall Plot as a Dynamic Analytical Processing Visualization Tool for Developing Visual Warning Systems: a Case Study.PloS one · 2025Article
- Community engagement in the development of health-related data visualizations: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Article
- Redesigning culturally tailored intervention in the precision health era: Self-management science context.Nursing outlookArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Visual representations of data have increasingly included color-encodings to help engage participants in health research. However, there is limited information on the way in which participants interpret color or on the influence of embedded cultural interpretations of color on survey responses. This study examines the interpretation of color-encodings used to indicate survey response options and their impact on participants' responses. Using a descriptive, cross-sectional design, interviews were conducted with 30 older Hmong adults from one Midwestern city in the United States. A survey data collection method was developed using: (a) an Audio-Computer-Assisted Self-Interviewing tool with (b) text-based and color-encoded response options and (c) assistance from a familiar helper. We analyzed the responses using directed content analysis. Findings reveal that some colors (red, black, and white) have strong cultural connotations; such colors were strongly correlated with specific emotions, while others (green, blue, purple, and pink) had no cultural meaning. Early in the survey, some older Hmong were distracted by response options indicated in red and black, influencing their response choices. However, with repeated instructions from the helpers, all participants overcame the color-related distractions and completed the survey. The findings highlight the importance of using colors cautiously and purposively in visualization development.
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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.