Evidence map›Paper›PMID 42054647›Full record

ArticleOnline journal of public health informatics2026

Building Enhanced Public Health Data Systems With a Situational Awareness and Learning Tool: Focus Group Study.

Cole Brokamp, Carson S Hartlage, Tiffany Mattingly, Pierce Kuhnell, Andrew Vancil, Andrew F Beck, David Hartley

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2026. 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

7 authors.

Cole BrokampDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID http://orcid.org/0000-0002-0289-3151
Carson S HartlageDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID http://orcid.org/0000-0001-7875-8215
Tiffany MattinglyThe Health Collaborative, Cincinnati, OH, United States.ORCID http://orcid.org/0009-0001-5801-2309
Pierce KuhnellDivision of Biostatistics and Epidemiology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, United States, 1 513-550-0000.ORCID http://orcid.org/0000-0002-5913-4519
Andrew VancilDivision of Biostatistics and Epidemiology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, United States, 1 513-550-0000.ORCID http://orcid.org/0009-0005-4503-6052
Andrew F BeckDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID http://orcid.org/0000-0002-4262-663X
David HartleyDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, United States.ORCID http://orcid.org/0000-0003-2589-2538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Situational awareness is the accurate and timely perception of factors in the environment, comprehension of their meanings, and projection of their future states. Objective: We aimed to develop a cloud-based Situational Awareness and Learning Tool (SALT) that generates near-real-time analytic content from multimodal health care, government, community, and environmental data, enabling public health and hospital professionals to make informed decisions during complex population health challenges. Methods: Several focus groups were conducted with representatives from local health departments, hospitals, and emergency agencies. The first round identified data needs and requirements to inform SALT's design. SALT was developed as a secure, cloud-based platform featuring automated deployment, role-based access, and version-controlled content publishing. The second round of focus groups evaluated the SALT prototype's utility and gathered feedback for improvements. Results: Participants highlighted the need for integrated data from multiple sources, tailored dashboards for specific audiences, and legal frameworks to guide timely data sharing. SALT met these requirements by providing interactive visuals, secure access levels, and a collaborative content management system. The second focus groups affirmed SALT's effectiveness in enhancing decision-making and strategic planning, suggesting enhancements such as clearer data labeling, expanded data coverage, and forecasting capabilities. Conclusions: SALT addresses limitations exposed by the COVID-19 pandemic in public health data systems by offering a scalable platform for data sharing, rapid analysis, and situational awareness. It fulfills user needs for integrated, timely data, and customized analytic products. SALT represents a viable solution for enhancing public health data systems in preparation for future pandemics and other complex, multisector population health challenges.

Indexed as

data systemsevaluation studyinfectious diseasepublic healthpublic health informatics

Identifiers

PMID42054647
PMCPMC13128156

What OpenQuestion holds

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LicenceCC BY
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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.