Evidence map›Paper›PMID 40397928›Full record

ArticleJournal of medical Internet research2025

Design, Application, and Actionability of US Public Health Data Dashboards: Scoping Review.

Gretchen Stahlman, Itzhak Yanovitzky, Miriam Kim

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 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. Article
  2. Article
  3. Article
  4. Review
  5. Review
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.

Gretchen Stahlman *School of Information, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0001-8814-863X
Itzhak Yanovitzky *School of Communication & Information, Rutgers University, New Brunswick, NJ, United States.ORCID https://orcid.org/0000-0001-6366-8006
Miriam KimSchool of Communication & Information, Rutgers University, New Brunswick, NJ, United States.ORCID https://orcid.org/0009-0005-6161-4115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData dashboards can be a powerful tool for ensuring access for public health decision makers to timely, relevant, and credible data. As their appeal and reach become ubiquitous, it is important to consider how they may be best integrated with public health data systems and the decision-making routines of users.

objectiveThis scoping review describes and analyzes the current state of knowledge regarding the design, application, and actionability of US national public health data dashboards to identify critical theoretical and empirical gaps in the literature and clarify definitions and operationalization of actionability as a critical property of dashboards.

methodsThe review follows PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. A search was conducted for refereed journal articles, conference proceedings, and reports that describe the design, implementation, or evaluation of US national public health dashboards published between 2000 and 2023, using a validated search query across relevant databases (CINAHL, PubMed, MEDLINE, and Web of Science) and gray literature sources. Of 2544 documents retrieved, 89 (3.5%) met all inclusion criteria. An iterative process of testing and improving intercoder reliability was implemented to extract data.

resultsThe dashboards reviewed (N=89) target a broad range of public health topics but are primarily designed for epidemiological surveillance and monitoring (n=51, 57% of dashboards) and probing health disparities and social determinants of health (n=27, 30%). Thus, they are limited in their potential to guide users' policy and practice decisions. Nearly all dashboards are created, hosted, and funded by institutional entities, such as government agencies and universities, that hold influence over public health agendas and priorities. Intended users are primarily public health professionals (n=34, 38%), policy makers (n=30, 34%), and researchers or practitioners (n=28, 32%), but it is unclear whether the dashboards are tailored to users' data capacities or needs, although 30% of articles reference user-centered design. Usability indicators commonly referenced include website analytics (n=22, 25%), expert evaluation (n=19, 21%), and users' impact stories (n=14, 16%), but only 30% (n=26) of all articles report usability assessment. Usefulness is frequently inferred from presumed relevance to decision makers (n=17, 19%), anecdotal stakeholder feedback (n=16, 18%), and user engagement metrics (n=14, 16%) rather than via rigorous testing. Only 47% (n=42) of dashboards were still accessible or active at the time of review.

conclusionsThe findings reveal fragmentation and a lack of scientific rigor in current knowledge regarding the design, implementation, and utility of public health dashboards. Coherent theoretical accounts and direct empirical tests that link usability, usefulness, and use of these tools to users' decisions and actions are critically missing. A more complete explication and operationalization of actionability in this context has significant potential to fill this gap and advance future scholarship and practice.

Indexed as

Public HealthHumansUnited StatesdashboarddesigndevelopmentevaluationimplementationPRISMApublic healthscoping reviewuser need

Identifiers

PMID40397928
PMCPMC12138306

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.