Evidence map›Paper›PMID 42488978›Full record

ArticleJMIR research protocols2026

Springfield Healthy Hearts Data Framework: Protocol for a Co-Designed, City-Wide, Multicomponent Initiative That Coordinates, Monitors, and Evaluates Place-Based Heart Health Action.

Lauren Ball, Kirsten N Adlard, David Chua, Amy Kirkegaard, Genevieve N Healy, Sarah A McNaughton, Jason Ferris, Sonia Shah, George Thomas, Benjamin J Seligmann and 1 more

Abstract read
In one paragraph

Article in JMIR research protocols, 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

11 authors.

Lauren BallFaculty of Health, Medicine and Behavioural Sciences, Centre for Community Health and Wellbeing, The University of Queensland, Springfield Tower, Level 7, 145 Sinnathamby Blvd, Springfield Central, Queensland, 4300, Australia, 61 413031470.ORCID 0000-0002-5394-0931
Kirsten N AdlardFaculty of Health, Medicine and Behavioural Sciences, Centre for Community Health and Wellbeing, The University of Queensland, Springfield Tower, Level 7, 145 Sinnathamby Blvd, Springfield Central, Queensland, 4300, Australia, 61 413031470.ORCID 0000-0001-9327-6732
David ChuaFaculty of Health, Medicine and Behavioural Sciences, Centre for Community Health and Wellbeing, The University of Queensland, Springfield Tower, Level 7, 145 Sinnathamby Blvd, Springfield Central, Queensland, 4300, Australia, 61 413031470.ORCID 0000-0001-7813-4816
Amy KirkegaardFaculty of Health, Medicine and Behavioural Sciences, Centre for Community Health and Wellbeing, The University of Queensland, Springfield Tower, Level 7, 145 Sinnathamby Blvd, Springfield Central, Queensland, 4300, Australia, 61 413031470.ORCID 0000-0001-7150-5338
Genevieve N HealyFaculty of Health, Medicine and Behavioural Sciences, School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0001-7093-7892
Sarah A McNaughtonFaculty of Health, Medicine and Behavioural Sciences, School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0001-5936-9820
Jason FerrisFaculty of Health, Medicine and Behavioural Sciences, Centre for Community Health and Wellbeing, The University of Queensland, Springfield Tower, Level 7, 145 Sinnathamby Blvd, Springfield Central, Queensland, 4300, Australia, 61 413031470.ORCID 0000-0001-7474-0173
Sonia ShahInstitute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0001-5860-4526
George ThomasFaculty of Health, Medicine and Behavioural Sciences, School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0001-6908-7974
Benjamin J SeligmannFaculty of Engineering, Architecture and Information Technology, Sustainable Minerals Institute, The University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0002-8505-0992
Anne BernardUQ Data Science Collaborative Research Platform (UQ DS CRP), The University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0003-3580-1548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease remains the leading global cause of mortality, driven by interrelated behavioral, biological, and psychosocial risk factors, despite the availability of effective prevention and treatment strategies. Persistent policy inertia, systemic fragmentation, and adverse social and commercial determinants have limited national responses. Addressing these gaps necessitates place-based, systems-oriented approaches that mobilize local assets, engage multisector stakeholders, and incorporate adaptive evaluation. The Springfield Healthy Hearts initiative exemplifies such an approach by positioning Greater Springfield as a "living laboratory" for coordinated cardiovascular health action through a comprehensive data framework, providing a replicable model for other communities. Objective: This protocol outlines the Springfield Healthy Hearts Data Framework, a multicomponent system for dynamically guiding, implementing, and evaluating coordinated action for heart health. Methods: The data framework was developed through a structured co-design process involving community members, expert researchers, health professionals, and representatives from local implementation partners. The framework comprises four integrated components: (1) Project evaluation, applying pragmatic frameworks to assess coordinated action projects; (2) Community evaluation, a repeated cross-sectional evaluation of Springfield residents, workers, and regular visitors to capture individual-level behavioral, biological, and psychosocial cardiovascular disease risk factors, as well as engagement with coordinated action projects; (3) City evaluation, ongoing monitoring of suburb- and city-level indicators across 4 domains (sociodemographic characteristics, built environment, food and commercial environment, and health services); and (4) Data synthesis, to utilize data across all levels to inform a continuous learning system. Project evaluations will use both quantitative and qualitative methods, including realist evaluation where appropriate. Community evaluation will be analyzed using descriptive statistics, mixed effects models, and subgroup analyses, with missing data addressed via multiple imputation. City-level data will be analyzed descriptively and dynamically to detect temporal trends and contextual changes. Results: Initial funding for the Springfield Healthy Hearts Data Framework was secured in June 2025. Co-design workshops were conducted between November 2025 and February 2026 (n=15 participants), informing the design and prioritization of framework components. Community evaluation data collection is scheduled to commence in September 2026 and conclude in August 2027. Data cleaning and preliminary analyses are anticipated in late 2027, with first results expected to be disseminated in early 2028. Conclusions: The Springfield Healthy Hearts Data Framework is a replicable model for other communities aiming to implement city-wide, coordinated approaches to heart health action. Findings will be disseminated through peer-reviewed publications, community reports, interactive dashboards, and policy briefs.

Indexed as

Cardiovascular DiseasesHealth PromotionCross-Sectional StudiesHumanscardiovascular diseasescommunity-based participatory researchcross-sectional studieslearning health systemprimary preventionpublic health

Identifiers

PMID42488978
PMCPMC13392651

What Socratic holds

Textmetadata
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 Socratic graph.