Evidence map›Paper›PMID 37531045›Full record

ArticleJournal of community health2023

Participants' Underlying Beliefs of Using WIC Electronic Benefit Transfer (EBT) Cards in Stores in New Jersey.

Yeon Bai, Anna Ciecierski

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of community health, 2023. 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
1.3field-weighted citation impact, top 18% of its field
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, 3 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Yeon BaiDepartment of Nutrition and Food Studies, Montclair State University, Montclair, NJ, USA. baiy@montclair.edu.ORCID http://orcid.org/0000-0002-2847-5046
Anna Ciecierski, Montclair, NJ, USA.
Montclair State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is an essential nutrition assistance program that has led to successful health outcomes and healthcare access. To alleviate discomfort associated with WIC shopping at stores, the Congress mandated the transition to electronic benefit transfer (EBT) card system from paper vouchers. This study aimed to explore the experiences of WIC recipients in using EBT cards in stores. WIC recipients from one WIC clinic in northern New Jersey (N = 220) participated in this study. An online survey was framed under the theory of planned behavior to probe their underlying behavioral, normative, and control beliefs of using EBT cards. Using content analyses, dominating themes of each belief were extracted. Participants composed of Hispanic (91.2%) with mean age of 31.68 (SD = 7.69). Most frequently mentioned advantages of using EBT cards were convenience and ease (34.3%) followed by fast and efficient (28.5%). Participants noted that most people would approve of using EBT cards (70%), especially those who receive the benefits and approve of the public assistance (16.7%). They stated that having improved store inventory and an increase in WIC-authorized stores (17.2%) would make the EBT cards use easy. The transition to EBT cars allowed purchase flexibility, alleviated stigma and the purchase process burdens, but the challenges associated with WIC app usage and store specific issues remained. These challenges should be addressed in future intervention to enable WIC recipients more engaged in using the EBT cards.

Indexed as

Food AssistanceAdultChildConsumer BehaviorFemaleFood SupplyHumansInfantNew JerseyNutritional StatusEBT cardsTheory of Planned BehaviorUnderlying beliefsWIC

Identifiers

PMID37531045
OpenAlexW4385477165

What OpenQuestion holds

Textmetadata
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.