Evidence map›Paper›PMID 41393027›Full record

ArticleFrontiers in public health2025

Usability and usefulness of U. S. federal and state public health data dashboards: implications for improving data access and use.

Itzhak Yanovitzky, Gretchen Stahlman, Miriam Kim

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Itzhak YanovitzkySchool of Communication & Information, Rutgers University New Brunswick, New Brunswick, NJ, United States.
Gretchen StahlmanFlorida State University School of Information, Tallahassee, FL, United States.
Miriam KimSchool of Information and Library Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dashboards that afford timely access to credible, relevant, and actionable data can significantly improve public health decision-making at all levels. As dashboards becomes more ubiquitous, it is imperative to proactively consider how they may be optimally designed to be usable and useful to users. Methods: A cluster probability sample of U. S. federal and state public health dashboards ( Results: Dashboards are primarily designed for epidemiological surveillance and assessing disparities. Both federal and state dashboards rely heavily on data collected by federal agencies but many state dashboards also draw on local data. Vulnerable subpopulations are underrepresented in data used in dashboards. Federal dashboards score higher than state dashboards on usability but are comparable in usefulness. About one-third of state dashboards are hosted on third-party platforms and are prone to access disruptions. Conclusion: Usability and usefulness of public health dashboards can be significantly enhanced by streamlining and enhancing users' experience and incorporating additional customization and analytical affordances. A uniform set of best-practices and standards for optimizing dashboard design and implementation does not yet exist as research on this topic is lagging. Policy implications: Additional federal and state investments are needed to build and maintain a robust infrastructure for developing, improving, and sustaining public health dashboards and incentivize rigorous, theory grounded research to optimize usability and usefulness of dashboards.

Indexed as

Access to InformationPublic HealthHumansState GovernmentUnited Statesactionabilitydata dashboardspublic healthusabilityusefulness

Identifiers

PMID41393027
PMCPMC12695813

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.