Evidence map›Paper›PMID 42243994›Full record

ArticleArchives of public health = Archives belges de sante publique2026

Using an asset mapping approach to evaluate the reach of community-level health equity interventions.

Kara Hollins, Sharon Fitzgerald Wolff, Daniel J Parente, Edward F Ellerbeck, Christina M Pacheco, Antonio Miras Neira, Kevin J Sykes, Elizabeth Ablah, Sarah Finocchario-Kessler

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kara HollinsDepartment of Family Medicine and Community Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA. khollins@kumc.edu.
Sharon Fitzgerald WolffDepartment of Population Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Daniel J ParenteDepartment of Family Medicine and Community Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Edward F EllerbeckDepartment of Population Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Christina M PachecoDepartment of Family Medicine and Community Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Antonio Miras NeiraDepartment of Family Medicine and Community Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Kevin J SykesDepartment of Otolaryngology-Head and Neck Surgery, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Elizabeth AblahDepartment of Population Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
Sarah Finocchario-KesslerDepartment of Family Medicine and Community Health, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.

Funding

Kansas Department of Health and Environment CDC-RFA-OT21-2103
6 · The paper itself

Abstract

backgroundAsset Mapping Score Analysis (AMSA) is a standardized approach to organizing data on community assets. This study uses AMSA in two ways to quantify health equity efforts of the Communities Organizing to Promote Equity (COPE) project: (1) quantify community assets identified by COPE; and (2) apply AMSA methods in a novel way to evaluate the reach and depth of COPE interventions.

methodsCOPE aimed to strengthen community-driven public health by establishing community coalitions, called Local Health Equity Action Teams, in 20 Kansas counties. LHEATs were tasked with: (1) identifying local organizations addressing health and social needs; (2) addressing needs through community-level interventions; and (3) addressing the needs of individual community members (clients). Using the AMSA framework, we assigned an asset score to organizational resources in each community and client-level interventions. We examined the relationship between asset scores and the level of area deprivation at the census block level.

resultsOf 1,786 organizations, 355 community-level interventions, and 3,241 individual clients supported, 63.4% (n = 1,133), 64.9% (n = 231), and 69.6% (n = 2,256) were in areas of high deprivation (Area Deprivation Index ≥ 7), respectively. Compared to lower ADI block groups, mean asset scores were significantly higher in block groups characterized by higher ADI for all three measures (organizations: 4.2 ± 9.06 vs 1.5 ± 4.85, p < .001; community activities: 0.7 ± 2.61 vs 0.2 ± 0.88, p < .001; individual client support: 55.7 ± 67.52 vs 26.7 ± 25.15, p < .001).

conclusionsIn this study, community coalitions prioritized areas of greatest need. GIS-based asset mapping provides a valuable lens for assessing the distribution and intensity of public health efforts beyond traditional evaluation methods.

Indexed as

Are deprivationAsset mappingCommunity coalitionsGeospatial analysisHealth equityPublic health interventions

Identifiers

PMID42243994
PMCPMC13455311

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.