Evidence map›Paper›PMID 39137865›Full record

ArticlePreventive medicine2024

A produce prescription program for patients with low incomes in North Carolina resulted in increased produce purchases.

Amy E Lo, Neal Curran, Sierra Mullen, Shu Wen Ng

Abstract read
In one paragraph

Article in Preventive medicine, 2024. 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
–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

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

4 authors.

Amy E LoDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America.
Neal CurranReinvestment Partners, Durham, NC, United States of America.
Sierra MullenCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America.
Shu Wen NgDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America. Electronic address: shuwen@unc.edu.

Funding

North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NCATS NIH HHS UL1 TR001111NCATS NIH HHS UM1 TR004406NICHD NIH HHS P2C HD050924NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

objectivesTo assess if participation in a North Carolina produce prescription program for Supplemental Nutrition Assistance Program (SNAP) participants with diet-sensitive health conditions (SuperSNAP) is associated with changes in purchase composition and spending source.

methodsThis study used loyalty-card transaction data (October 2019-April 2022). We applied a linear mixed-effects model with overlap weights to perform a difference-indifferences analysis of purchases by SuperSNAP program enrollees compared to the control group.

resultsThe sample included 1440 SuperSNAP shoppers and 45,851 control shoppers. Compared to shoppers only on SNAP, SuperSNAP shoppers spent $82.98 (95% CI (75.6, 90.3), p-value <0.001) more per month, $76.09 (95% CI (69.4, 82.8), pvalue <0.001) of which were spent strictly on food and beverage products. Among SuperSNAP shoppers, out of the $40 SuperSNAP benefit each month, an estimated $34.86 (95% CI (33.9, 35.8), p-value <0.001) of it was spent on fruits and vegetables.

conclusionsThis study shows the promise of targeted produce prescription programs for SNAP participants in encouraging shifts in purchase composition.

Indexed as

Food AssistancePovertyAdultCommerceConsumer BehaviorFemaleFruitHumansMaleMiddle AgedNorth CarolinaVegetablesFood assistanceFood purchaseFruit and vegetable incentiveProduce prescriptionPropensity score

Identifiers

PMID39137865
PMCPMC11412218

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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.