Evidence map›Paper›PMID 36364785›Full record

ArticleNutrients2022

Federal Food Assistance Program Participation during the COVID-19 Pandemic: Participant Perspectives and Reasons for Discontinuing.

Emily M Melnick, Montserrat Ganderats-Fuentes, Punam Ohri-Vachaspati

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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

3 authors.

Emily M MelnickCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.
Montserrat Ganderats-FuentesCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0002-1533-9395
Punam Ohri-VachaspatiCollege of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.ORCID 0000-0001-9619-9816

Funding

Arizona State University COVID-19 seed grant
6 · The paper itself

Abstract

This study aims to describe reasons for discontinuing participation and experiences participating in the Supplemental Nutrition Assistance Program (SNAP) and the Special Supplemental Nutrition Assistance Program for Women, Infants, and Children (WIC) during the COVID-19 pandemic. We analyzed data from a cross-sectional online survey distributed to a national sample, restricted to (1) households that discontinued participating in SNAP (n = 146) or WIC (n = 149) during the pandemic and (2) households that participated in SNAP (n = 501) or WIC (n = 141) during spring 2021-approximately one year into the pandemic. We conducted thematic analyses of open-ended survey questions and descriptive statistics for Likert-scale items. Themes raised by respondents who discontinued participating in SNAP or WIC included difficulty recertifying and virus exposure concerns. Former WIC participants reported the program was not worth the effort and former SNAP participants reported failing to requalify. Respondents participating in WIC or SNAP during the pandemic mentioned transportation barriers and insufficient benefit value. WIC participants had trouble redeeming benefits in stores and SNAP participants desired improved online grocery purchasing experiences. These results suggest that enhancements to WIC and SNAP, such as expanded online purchasing options, program flexibilities, and benefit increases, can improve program participation to ensure access to critical nutrition supports, especially during emergencies.

Indexed as

COVID-19Food AssistanceChildCross-Sectional StudiesFemaleFood SupplyHumansInfantPandemicsPovertyCOVID-19SNAPWIC

Identifiers

PMID36364785
PMCPMC9654117

What OpenQuestion holds

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LicenceCC BY
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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.