Evidence map›Paper›PMID 42500010›Full record

ReviewFrontiers in public health2026

From data to action: a community-centered framework for translating community health assessment into coordinated public health strategy.

Diego R Hijano

Abstract readReview
In one paragraph

Review in Frontiers in public health, 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

1 author.

Diego R HijanoDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health agencies routinely conduct community health assessments, yet many jurisdictions continue to face challenges translating population health data into coordinated action that addresses structural determinants of health, health equity, and public health infrastructure needs. These challenges became increasingly visible during the COVID-19 pandemic and highlight the need for community-centered approaches that align public health, healthcare systems, and community partnerships across sectors. This Policy and Practice Review presents a community-centered framework for translating local population health data into coordinated, equity-oriented population health strategy. Using Shelby County, Tennessee, a large urban county in the southern United States, as an illustrative case, the analysis synthesizes publicly available datasets, community health needs assessments, and institutional reports to align local priorities, governance structures, and cross-sector operational strategies within a unified implementation approach. The framework organizes population health priorities into five domains: chronic disease prevention, maternal and child health equity, HIV and sexual health, behavioral health and substance use, and violence prevention and community safety. Across domains, the framework emphasizes shared measurement, data integration, community partnerships, trust, and cross-sector accountability as foundational components of sustainable population health improvement. Although not an implementation evaluation, this review offers a practical approach for jurisdictions seeking to strengthen public health infrastructure, operationalize equity-centered decision-making, and move from fragmented programs toward coordinated population health action responsive to evolving community needs.

Indexed as

COVID-19Public HealthHealth EquityHumansNeeds AssessmentPublic Health InfrastructureSARS-CoV-2Tennesseecommunity health assessmentcross-sector collaborationhealth equityintegrated carepopulation healthpublic health infrastructuresocial determinants of health

Identifiers

PMID42500010
PMCPMC13396013

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.