Evidence map›Paper›PMID 37417296›Full record

ArticleJournal of the American Heart Association2023

Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study.

Lu Wang, Brianna N Lauren, Kurt Hager, Fang Fang Zhang, John B Wong, David D Kim, Dariush Mozaffarian

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
12.8field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Produce Prescription Dose Response: A Randomized Community Trial.Journal of general internal medicine · 2026
    Article
  3. Article
  4. Review
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  18. Article
  19. Review
  20. Food prescribing in Canada: evidence, critiques and opportunities.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2024
    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

7 authors at 3 institutions in 1 country.

Lu WangThe Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy Tufts University Boston MA USA.ORCID 0000-0003-0245-7226
Brianna N LaurenThe Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy Tufts University Boston MA USA.ORCID 0000-0003-3608-6777
Kurt HagerThe Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy Tufts University Boston MA USA.ORCID 0000-0002-9957-7971
Fang Fang ZhangThe Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy Tufts University Boston MA USA.
John B WongDivision of Clinical Decision Making Tufts Medical Center Boston MA USA.ORCID 0000-0003-4203-9010
David D KimDivision of Hospital Medicine, Department of Medicine University of Chicago IL USA.
Dariush MozaffarianThe Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy Tufts University Boston MA USA.ORCID 0000-0001-7958-9492
Tufts University · USTufts Medical Center · USUniversity of Chicago · US

Funding

Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
NHLBI NIH HHS R01 HL115189
6 · The paper itself

Abstract

Background Produce prescription programs, providing free or discounted produce and nutrition education to patients with diet-related conditions within health care systems, have been shown to improve dietary quality and cardiometabolic risk factors. The potential impact of implementing produce prescription programs for patients with diabetes on long-term health gains, costs, and cost-effectiveness in the United States has not been established. Methods and Results We used a validated state-transition microsimulation model (Diabetes, Obesity, Cardiovascular Disease Microsimulation model), populated with national data of eligible individuals from the National Health and Nutrition Examination Survey 2013 to 2018, further incorporating estimated intervention effects and diet-disease effects from meta-analyses, and policy- and health-related costs from published literature. The model estimated that over a lifetime (mean=25 years), implementing produce prescriptions in 6.5 million US adults with both diabetes and food insecurity (lifetime treatment) would prevent 292 000 (95% uncertainty interval, 143 000-440 000) cardiovascular disease events, generate 260 000 (110000-411 000) quality-adjusted life-years, cost $44.3 billion in implementation costs, and save $39.6 billion ($20.5-58.6 billion) in health care costs and $4.8 billion ($1.84-$7.70 billion) in productivity costs. The program was highly cost effective from a health care perspective (incremental cost-effectiveness ratio: $18 100/quality-adjusted life-years) and cost saving from a societal perspective (net savings: $-0.05 billion). The intervention remained cost effective at shorter time horizons of 5 and 10 years. Results were similar in population subgroups by age, race or ethnicity, education, and baseline insurance status. Conclusions Our model suggests that implementing produce prescriptions among US adults with diabetes and food insecurity would generate substantial health gains and be highly cost effective.

Indexed as

Cardiovascular DiseasesDiabetes MellitusAdultCost-Benefit AnalysisDietHealth Care CostsHumansNutrition SurveysQuality-Adjusted Life YearsUnited Statescost‐effectivenessfood is medicinemicro‐simulationproduce prescription

Identifiers

PMID37417296
PMCPMC10492976
OpenAlexW4383482305

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.