Evidence map›Paper›PMID 40917434›Full record

ArticleFrontiers in public health2025

Precision public health alliances as a model and method for community engagement.

Margaret L McGladrey, Mary Elizabeth Lacy, Kristen McQuerry, Rachel Hogg-Graham, Svetla Slavova, Emily R Clear, Kory Heier, Caitline Phan, Megan Hall, Ryan Parker and 4 more

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Margaret L McGladreyCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Mary Elizabeth LacyCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Kristen McQuerryCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Rachel Hogg-GrahamCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Svetla SlavovaCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Emily R ClearCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Kory HeierCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Caitline PhanCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Megan HallCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Ryan ParkerKing's Daughters Medical Center, University of Kentucky, Ashland, KY, United States.
Mindy KeetonKing's Daughters Medical Center, University of Kentucky, Ashland, KY, United States.
Jennifer SwordKing's Daughters Medical Center, University of Kentucky, Ashland, KY, United States.
Thomas ArdCollege of Public Health, University of Kentucky, Lexington, KY, United States.
Charbel SalemKing's Daughters Medical Center, University of Kentucky, Ashland, KY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using precision analytics approaches with population health data helps identify localized patterns of social determinants and comorbidities, supporting the design of tailored interventions. The University of Kentucky College of Public Health (UKCPH) and UK King's Daughters (UKKD) have partnered to create a Precision Public Health Alliance (PPHA) applying precision analytics to UKKD electronic health records (EHR) as well as secondary datasets to map social, demographic, and clinical comorbidity factors onto colorectal cancer (CRC) screening data in UKKD's rural service area (the northeastern Kentucky counties of Boyd, Carter, Greenup, and Lawrence and southeast Ohio county of Lawrence). In addition to UKKD and UKCPH clinicians and researchers, PPHA includes a community-based Action Team of local social services, behavioral health, and public health agencies and Cooperative Extension agents responsible for translating findings into quality improvement priorities. In Fall 2024, UKKD and UKCPH developed a statistical analysis plan to examine the interplay of social, geographic, and clinical factors associated with CRC screening rates, which is a UKKD quality improvement priority. Findings from this analysis of EHR and secondary county-level data and a summary of UKKD's existing quality improvement efforts related to CRC screening were presented to the Action Team in March 2025. The first meeting of the Action Team demonstrated initial proof-of-concept that PPHA approaches can catalyze community-based practice improvements. Immediately after the meeting with UKCPH support, the local health department and community mental health center pursued adoption of UKKD stool-based screening strategies and UKKD created a simple workflow for receiving referrals from community-based partners. This community case study contributes to community engagement with initial findings and best practices for PPHA of healthcare systems, local public health departments, and social services agencies to analyze population health trends in order to target quality improvement needs and co-design place-based, cross-sector strategies to address them with evidence-based practices. This replicable PPHA pilot in rural Kentucky and Ohio is an innovative method and model for how to engage communities most effectively in identifying and taking action to improve their chief health concerns.

Indexed as

Community ParticipationPublic HealthColorectal NeoplasmsEarly Detection of CancerElectronic Health RecordsFemaleHumansKentuckyMaleRural Populationcommunity-based participatory researchcommunity health planningcommunity networkselectronic health recordsprecision public healthsocial determinants of health

Identifiers

PMID40917434
PMCPMC12408660

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.