Evidence map›Paper›PMID 38717119›Full record

ArticleHealth information and libraries journal2025

Evaluating the usability of public health data dashboards as information sources for professionals and the public: Findings from a case study with domain experts.

Bahareh Ansari

Abstract read
In one paragraph

Article in Health information and libraries journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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.

Bahareh AnsariOrganization, Work, and Leadership Department, Queen's Management School, Queen's University Belfast, Belfast, UK.ORCID 0000-0001-5064-6481

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, public health data dashboards have gained popularity as trusted, up-to-date sources of health information. However, their usability and usefulness may be limited.

objectiveTo identify the requirements of usable public health data dashboards through a case study with domain experts.

methodsPaired-user virtual data collection sessions were conducted with 20 experts in three steps: (1) a monitored use of an existing dashboard to complete tasks and discuss the usability problems, (2) a survey rating user experience, and (3) an interview regarding the users and use cases. Data analysis included quantitative analysis of the survey findings and thematic analysis of the audio transcripts.

resultsAnalyses yielded several findings: (1) familiar charts with clear legends and labels should be used to focus users' attention on the content; (2) charts should be organized in a simple and consistent layout; (3) contextual information should be provided to help with interpretations; (4) data limitations should be clearly communicated; (5) guidance should be provided to lead user interactions. DISCUSSION: The identified requirements guide health librarians and information professionals in evaluating public health data dashboards.

conclusionPublic health data dashboards should be designed based on users' needs to provide useful up-to-date information sources for health information consumers.

Indexed as

Information Storage and RetrievalPublic HealthUser-Computer InterfaceHumansInformation SourcesSurveys and Questionnairesconsumer health informationdata visualisationhealth literacyhuman‐computer interactioninformation literacypatient educationpublic health

Identifiers

PMID38717119
PMCPMC12723333

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.