Evidence map›Paper›PMID 36765390›Full record

ArticleBMC research notes2023

Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study.

Nalini Ranjit, Jennifer N Aiyer, Jack D Toups, Esther Liew, Kenia Way, Henry Shelton Brown, John Wesley McWhorter, Shreela V Sharma

Abstract read
In one paragraph

Article in BMC research notes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Nutrition and Culinary Education in Food Is Medicine Interventions: A Scoping Review.Journal of the Academy of Nutrition and Dietetics · 2026
    Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
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

8 authors.

Nalini RanjitUniversity of Texas Health Science Center at Houston (UTHealth) School of Public Health, Michael & Susan Dell Center for Healthy Living, Austin, TX, USA. Nalini.Ranjit@uth.tmc.edu.
Jennifer N AiyerUniversity of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA.
Jack D ToupsMcGovern Medical School, Houston, TX, USA.
Esther LiewSave the Children US, Houston, TX, USA.
Kenia WayHouston Food Bank, Houston, TX, USA.
Henry Shelton BrownUniversity of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA.
John Wesley McWhorterSuvida Health Care, Houston, TX, USA.
Shreela V SharmaUniversity of Texas Health Science Center at Houston (UTHealth) School of Public Health, Michael & Susan Dell Center for Healthy Living, Austin, TX, USA.

Funding

Rockefeller Foundation 2020 FOD-022
6 · The paper itself

Abstract

backgroundFood prescription programs are gaining interest from funders, policy makers, and healthcare payers as a way to provide value-based care. A small body of research suggests that such programs effectively impact health outcomes; however, the quality of existing studies is variable, and most studies use small samples. This study attempts to address these gaps by utilizing a quasi-experimental design with non-equivalent controls, to evaluate clinical outcomes among participants enrolled in a food prescription program implemented at scale.

methodsWe completed a secondary analysis of participant enrollment and utilization data collected between May 2018 and March 2021, by the Houston Food Bank as part of its multi-institution food prescription program. Enrollment data was obtained from 16 health care partners and redemption data from across 40 food pantries in Houston, Texas. Our objective was to assess if program participation impacted multiple cardio-metabolic markers. Exposure was defined as any visit to a food pantry after receipt of prescription. Linear and logistic regression models were used to estimate change in outcomes by exposure status and number of food pantry visits.

resultsExposed patients experienced a -0.28% (p = 0.007) greater change in HbA1c than unexposed patients, over six months. Differences across exposure categories were seen with systolic blood pressure (-3.2, p < 0.001) and diastolic blood pressure (-2.5, p = 0.028), over four months. The odds of any decline in HbA1c (OR = 1.06 per visit, p < 0.001) and clinically meaningful decline in HbA1c (OR = 1.04 per visit, p = 0.007) showed a linear association with visit frequency.

conclusionsOur study of a large food prescription program involving multiple health care and food pantry sites provides robust evidence of a modest decline in HbA1c levels among participants. These results confirm that food prescription programs can continue to be effective at scale, and portend well for institutionalization of such programs.

Indexed as

FoodFood SupplyGlycated HemoglobinHumansPrescriptionsTexasGlycated HemoglobinFood banksFood insecurityFood prescription programsHbA1c

Identifiers

PMID36765390
PMCPMC9921309

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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.