Evidence map›Paper›PMID 40193837›Full record

ArticleHealth affairs (Project Hope)2025

Estimated Impact Of Medically Tailored Meals On Health Care Use And Expenditures In 50 US States.

Shuyue Deng, Kurt Hager, Lu Wang, Frederick P Cudhea, John B Wong, David D Kim, Dariush Mozaffarian

Erratum issuedAbstract read
In one paragraph

Article in Health affairs (Project Hope), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shuyue DengShuyue Deng (sdeng01@tufts.edu), Tufts University, Boston, Massachusetts.
Kurt HagerKurt Hager, University of Massachusetts, Worcester, Massachusetts.
Lu WangLu Wang, Tufts University.
Frederick P CudheaFrederick P. Cudhea, Tufts University.
John B WongJohn B. Wong, Tufts University and Tufts Medical Center, Boston, Massachusetts.
David D KimDavid D. Kim, University of Chicago, Chicago, Illinois.
Dariush MozaffarianDariush Mozaffarian, Tufts University.

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
Modeling Long-Term Health and Economic Impacts of National Strategies to Address Food and Nutrition InsecurityR01MD019094 · NIMHD · UNIVERSITY OF CHICAGO · PI David Daeho Kim · 2024 to 2026
$2.8M
Impact of Medically Tailored Meals on Obesity, Other Health Outcomes, and Healthcare Utilization under Medicaid Flexible ServicesR01DK134452 · NIDDK · TUFTS UNIVERSITY BOSTON · PI MOZAFFARIAN, DARIUSH · 2022 to 2024
$2.0M
NHLBI NIH HHS R01 HL115189NIDDK NIH HHS R01 DK134452NIMHD NIH HHS R01 MD019094
6 · The paper itself

Abstract

Medically tailored meals (MTMs) can reduce health care use among high-risk patients with diet-related conditions. However, the potential impact of providing coverage for MTMs across fifty US states remains unknown. Using a population-based, open-cohort simulation model, we estimated state-specific one-year and five-year changes in annual hospitalizations, health care spending, and cost-effectiveness of MTMs for patients with diet-related diseases and limitations in activities of daily living, covered by Medicaid, Medicare, or private insurance. Assuming full uptake among eligible people, MTMs were net cost saving in the first year in forty-nine states, with the largest savings seen in Connecticut ($6,299 per patient). The exception was Alabama, where MTMs were cost-neutral. The number of treated patients needed to avert one hospitalization ranged from 2.3 (Maryland) to 6.9 (Colorado). These findings can inform state-level policy makers and health plans considering MTM coverage through state-specific strategies.

Indexed as

Food ServicesHealth ExpendituresMealsPatient Acceptance of Health CareAgedCost-Benefit AnalysisFemaleHospitalizationHumansMaleMedicaidMedicareUnited States

Identifiers

PMID40193837
PMCPMC12919973

What OpenQuestion holds

Textmetadata
LicenceTDM
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.