Evidence map›Paper›PMID 36251292›Full record

ArticleJAMA network open2022

Association of National Expansion of Insurance Coverage of Medically Tailored Meals With Estimated Hospitalizations and Health Care Expenditures in the US.

Kurt Hager, Frederick P Cudhea, John B Wong, Seth A Berkowitz, Sarah Downer, Brianna N Lauren, Dariush Mozaffarian

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
15.6field-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.

NCT06460272 nacompletednot on this mapstarted 2024, after this paper: background citation

NOURISH HEARTS: Nutrition Outreach and Understanding: Research In Serving Hearts Through Healthy Eating And Tailored Support

TypeinterventionalSponsorAmanda ShallcrossRan2024 to 2025Enrolled75ConditionsHypertension, Type2diabetes, Metabolic Syndrome, ObesityArmsMedically Tailored Meals
NCT06814795 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Feasibility of Medically Tailored Meals for Pediatric Populations at Risk for Disparities in Serious Illness Outcomes Due to Inequities in Social Drivers of Health (MTM-Kids)

TypeinterventionalSponsorUNC Lineberger Comprehensive Cancer CenterRan2025 to 2026Enrolled32ConditionsPediatric CancerArmsMedically tailored meals
NCT07262593 naterminatednot on this mapstarted 2024, after this paper: background citation

Family-Based Meal Timing for Cancer Prevention Among Native Hawaiian and Other Pacific Islanders: FAMTIME

TypeinterventionalSponsorUniversity of UtahRan2024 to 2024Enrolled2ConditionsCancer PreventionArmsTime Restricted Eating (TRE), Medically Tailored Meals (MTM)
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. From Harvest to Health: A Systems-Based Evaluation of FarmsSHARE's Impact on Nutrition in North Carolina.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
    Article
  9. Mixed Methods Evaluation of a Shipped Medically Tailored Meal Pilot Intervention.Journal of patient-centered research and reviews · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Health disparities in neurology.Nature reviews. Neurology · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 4 institutions in 1 country.

Kurt HagerFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Frederick P CudheaFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
John B WongDivision of Clinical Decision Making, Tufts Medical Center, Boston, Massachusetts.
Seth A BerkowitzDivision of General Medicine and Clinical Epidemiology, Department of Medicine, University of North Carolina at Chapel Hill School of Medicine.
Sarah DownerCenter for Medicare & Medicaid Innovation, Baltimore, Maryland.
Brianna N LaurenFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Tufts University · USCenters for Medicare and Medicaid Services · USTufts Medical Center · USUniversity of North Carolina at Chapel Hill · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
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
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 P30 DK092926NIDDK NIH HHS R01 DK134452
6 · The paper itself

Abstract

Importance: Medically tailored meals (MTMs) are associated with lower health care utilization among patients with complex diet-related diseases but are not a covered benefit in Medicare or Medicaid. The potential impact of extending insurance coverage for MTMs nationally remains unknown. Objective: To estimate 1- and 10-year potential changes in annual hospitalizations, potential changes in annual health care expenditures, and overall policy cost-effectiveness associated with national MTM coverage for US patients with diet-related disease and limited instrumental activities of daily living who have Medicaid, Medicare, or private insurance. Design, Setting, and Participants: In this economic evaluation, conducted from January 2021 to February 2022, a nationally representative sample from the 2019 Medical Expenditure Panel Survey was used to create a population-level cohort policy simulation model that estimated changes in annual hospitalizations and health care expenditures associated with coverage of MTMs. Participants were 6 309 998 US adults aged 18 years or older who had Medicare, Medicaid, or private payer insurance and at least 1 diet-sensitive condition and 1 limitation in instrumental activities of daily living. Interventions: Ten nutritionally tailored MTMs per week for a mean of 8 months in each year of intervention. Main Outcomes and Measures: The main outcomes were total hospitalizations, program costs, health care expenditures, and net policy costs. One thousand Monte Carlo simulations for each of 10 years (2019-2028) jointly incorporated uncertainty in model inputs for effect sizes, hospitalizations, health care expenditures, and program costs. Results: At the 2019 baseline, an estimated 6 309 998 US adults were eligible to receive MTMs. Mean (SD) age was 68.1 (16.6) years; most were female (63.4%), were non-Hispanic White (66.7%), and had Medicare and/or Medicaid (76.5%). The most common eligibility diagnoses were cardiovascular diseases (70.6%), diabetes (44.9%), and cancer (37.2%). If all eligible individuals received MTMs, an estimated 1 594 000 hospitalizations (95% uncertainty interval [UI], 1 297 000-1 912 000) and $38.7 billion (95% UI, $24.9 billion to $53.9 billion) in health care expenditures could potentially be averted in 1 year. Program costs were $24.8 billion (95% UI, $23.1 billion to $26.8 billion), for an associated net savings of $13.6 billion (95% UI, $0.2 billion to $28.5 billion) from a health care perspective. In 2019 dollars, 10 years of the MTM intervention was anticipated to cost $298.7 billion (95% UI, $279.7 billion to $317.4 billion) and to potentially be associated with 18 257 000 averted hospitalizations (95% UI, 14 690 000-22 109 000) and reductions in health care expenditures of $484.5 billion (95% UI, $310.2 billion to $678.4 billion), for net savings of $185.1 billion (95% UI, $12.9 billion to $377.8 billion). Findings were robust in multiple sensitivity analyses. Conclusions and Relevance: The findings suggest that national implementation of MTMs for patients with diet-sensitive conditions and activity limitations could potentially be associated with approximately 1.6 million averted hospitalizations and net cost savings of $13.6 billion annually. The results may inform US state, federal, and private-payer interest in expanding insurance coverage for MTMs among patients with diet-related chronic illness.

Indexed as

Health ExpendituresMedicareActivities of Daily LivingAdultAgedFemaleHospitalizationHumansInsurance CoverageMaleMealsUnited States

Identifiers

PMID36251292
PMCPMC9577678
OpenAlexW4306663351

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.