Evidence map›Paper›PMID 40235017›Full record

ArticleImplementation science communications2025

Understanding implementation determinants of universal school meals through an equity-driven mixed methods approach.

Gabriella M McLoughlin, Molly Kerstetter, Yerusalem Yohannes, Omar Martinez, Resa M Jones, Ross C Brownson, Jennifer O Fisher

Abstract read
In one paragraph

Article in Implementation science communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Gabriella M McLoughlinDepartment of Social and Behavioral Sciences, Temple University College of Public Health, Philadelphia, PA, USA. gabriella.mcloughlin@temple.edu.
Molly KerstetterDepartment of Social and Behavioral Sciences, Temple University College of Public Health, Philadelphia, PA, USA.
Yerusalem YohannesDepartment of Social and Behavioral Sciences, Temple University College of Public Health, Philadelphia, PA, USA.
Omar MartinezCollege of Medicine, University of Central Florida, Orlando, FL, USA.
Resa M JonesDepartment of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA.
Ross C BrownsonSiteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
Jennifer O FisherDepartment of Social and Behavioral Sciences, Temple University College of Public Health, Philadelphia, PA, USA.

Funding

Using Implementation Mapping to Maximize Impact of School-Based Policies for Obesity PreventionK01HL166957 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI Gabriella Mcloughlin · 2023 to 2026
$684k
NHLBI NIH HHS K01 HL166957
6 · The paper itself

Abstract

backgroundPolicies, such as Universal School Meals (USM), are essential for preventing inequities in chronic disease risk among socially and economically marginalized populations. Implementing USM reduces food insecurity and obesity risk, among other academic/health outcomes; unfortunately, across the nation student participation (i.e., reach) is lower than expected, limiting its public health impact. Grounded in implementation science and health equity frameworks, this study aimed to: 1) investigate the determinants of implementing USM in a large, urban school district and 2) assess key challenges and supports across schools with varying levels of participation in USM.

methodsA needs and assets assessment was undertaken in the 2023-2024 academic year with the School District of Philadelphia to address implementation-related challenges for USM as part of a broader Implementation Mapping process. Overall, 8 schools (6 middle; 2 high) participated in a convergent mixed methods study comprising qualitative interviews, surveys, and mealtime observations. Data collection was grounded in the Consolidated Framework for Implementation Research (CFIR) and Health Equity Measurement Framework. Interviews were deductively coded through the CFIR; barriers were coded negatively (either -1 or -2), supports coded positively (+ 1 or + 2), and neutral determinants coded as 0. Schools were grouped into low, moderate, and high meal participation for disaggregated analysis and comparison of determinants across reach.

results193 participants included teachers (29%), parents (26%), students (middle 14%; high school 10%), administrators (13.5%), and food service personnel (11%). Participants identified as Black/African American (43%), White (26%), Hispanic/Latino (20%), Asian (5%), Middle Eastern (1.8%), and other (3.8%). The strongest facilitators of USM implementation were Mid-level Leaders (i.e., climate leaders; M = 1.29[-1,2]) and High-level Leaders (i.e., administrators; M = 0.96[-1,2]); strongest negative USM determinants were Market Pressure (i.e., competitive foods; M = -1.35[-2,0]), and Relative Priority (M = -1.17[-2,-1]). Emerging differences between low and moderate/high participation groups were found in Culture, Assessing Needs of Recipients, Access to Knowledge/Information, Human Equality-Centeredness, and Implementation Leads. Overall, higher participation schools reported less stigma, more equitable implementation procedures, and more involvement from food service managers than lower participation schools.

conclusionsEquity-focused strategies targeting key issues within and outside the school setting are needed to reduce stigma and increase capacity for implementation.

Indexed as

Food securityHealth equityImplementation MappingImplementation sciencePolicy

Identifiers

PMID40235017
PMCPMC12001678

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