Evidence map›Paper›PMID 42638742›Full record

ArticleFrontiers in public health2026

National associations between pandemic electronic benefit transfer (P-EBT) implementation practices and state characteristics.

Fernando R Mena-Carrasco, Erika Estrada-Ibarra, Wura Olawole, Rachel Cahill, Emily Calman, Tiffany Hoang, Lucine Francis, Elizabeth A Stuart, Laura J Samuel

Abstract read
In one paragraph

Article 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
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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

9 authors.

Fernando R Mena-CarrascoSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Erika Estrada-IbarraSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Wura OlawoleSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Rachel CahillRachel Cahill Consulting, Cleveland, OH, United States.
Emily CalmanSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Tiffany HoangSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Lucine FrancisSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Elizabeth A StuartJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Laura J SamuelSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.

Funding

Strength-Based Health Equity Across the Life CourseT32NR020315 · NINR · JOHNS HOPKINS UNIVERSITY · PI HAE-RA HAN · 2022 to 2026
$1.8M
NINR NIH HHS T32 NR020315
6 · The paper itself

Abstract

Background: The Pandemic Electronic Benefit Transfer (P-EBT) program replaced free and reduced-price school meals for low-income children during school closures and summers from 2020 to 2023. Evidence indicates that P-EBT disbursements were associated with a 40% reduction in food hardship and better maternal mental health among low-income households with children. As states had discretion in implementing the program, approaches varied across states. This study characterized patterns of P-EBT implementation and disbursement across all 50 states and Washington, D.C., in relation to state characteristics. Methods: We examined three outcomes, namely timing of first P-EBT disbursement in 2020, inconsistency of summer P-EBT participation through 2023, and annual per capita P-EBT disbursement amounts from 2020 to 2023, using ordered logistic, logistic, and linear regression models. Independent variables included measures of state economic resources, sociopolitical characteristics, and indicators of need for food assistance. To account for regional cost-of-living differences, we conducted a sensitivity analysis using a real state minimum wage adjusted for Regional Price Parity (RPP). Results: In unadjusted analyses, Republican gubernatorial affiliation was associated with later first disbursement, lower per capita disbursement, and inconsistent summer participation. In adjusted models, no state characteristics were significantly associated with the timing of the first disbursement. Each additional month of prior-year Supplemental Nutrition Assistance Program (SNAP) emergency allotments was associated with lower odds of inconsistent Summer P-EBT participation [odds ratio (OR) = 0.72, 95% confidence interval (CI): 0.57-0.90]. Higher Medicaid participation rates [regression coefficient (B) = $1,932.40, Conclusion: P-EBT was implemented more comprehensively in states with Democratic governors and in states with more comprehensive SNAP emergency allotments, Medicaid, and other safety-net programs. Indicators of economic conditions, such as poverty and unemployment rates, were not associated with implementation patterns. Findings underscore the role of political context in shaping food assistance implementation, with direct implications for the SUN Bucks program, which uses practices similar to P-EBT but is not yet implemented by all states.

Indexed as

COVID-19Food AssistancePandemicsHumansPovertySchoolsUnited Stateschild healthfood insecuritypandemicP-EBTpolicy implementationschool mealssummer food assistanceSUN Bucks

Identifiers

PMID42638742
PMCPMC13500631

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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.