Evidence map›Paper›PMID 30444166›Full record

ArticleInformatics for health & social care2020

Color-encoding visualizations as a tool to assist a nonliterate population in completing health survey responses.

Maichou Lor

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Community engagement in the development of health-related data visualizations: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  4. Article
  5. 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

1 author.

Maichou LorSchool of Nursing, Columbia University, New York City, New York, USA.ORCID https://orcid.org/0000-0001-8451-4364

Funding

A Mode of Data Collection for Non-English Speaking Older Adults from Collectivist CulturesF31NR015966 · NINR · UNIVERSITY OF WISCONSIN-MADISON · PI LOR, MAICHOU · 2015 to 2017
$45k
NINR NIH HHS F31 NR015966
6 · The paper itself

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.

Indexed as

Audiovisual AidsAgedAsianAttitudeColorCross-Sectional StudiesFemaleHealth LiteracyHealth SurveysHumansMaleMiddle AgedMidwestern United StatesUser-Computer Interfacecolorhealth surveylimited English proficiencyVisualization

Identifiers

PMID30444166
PMCPMC6522332

What OpenQuestion holds

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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.