Evidence map›Paper›PMID 31009050›Full record

ArticleJAMA internal medicine2019

Association Between Receipt of a Medically Tailored Meal Program and Health Care Use.

Seth A Berkowitz, Jean Terranova, Liisa Randall, Kevin Cranston, David B Waters, John Hsu

2 registry-linked trialsAbstract read
In one paragraph

Article in JAMA internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 94 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 2 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.

NCT04959487 nacompletednot on this mapstarted 2021, after this paper: background citation

Food is Medicine: Randomized Trial of Medically-Tailored Food Support for Diabetes Health

TypeinterventionalSponsorUniversity of California, San FranciscoRan2021 to 2025Enrolled281ConditionsType 2 Diabetes, Food InsecurityArmsFood support, Nutritional Counseling and education
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

94 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Seth A BerkowitzDivision of General Medicine and Clinical Epidemiology, Department of Medicine, University of North Carolina at Chapel Hill School of Medicine.
Jean TerranovaCommunity Servings, Inc, Boston, Massachusetts.
Liisa RandallMassachusetts Department of Public Health, Boston.
Kevin CranstonMassachusetts Department of Public Health, Boston.
David B WatersCommunity Servings, Inc, Boston, Massachusetts.
John HsuMongan Institute, Massachusetts General Hospital, Boston.

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Understanding & Overcoming Food Insecurity in Diabetes PatientsK23DK109200 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERKOWITZ, SETH A · 2016 to 2020
$973k
NIDDK NIH HHS K23 DK109200NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

Importance: Whether interventions to improve food access can reduce health care use is unknown. Objective: To determine whether participation in a medically tailored meal intervention is associated with fewer subsequent hospitalizations. Design, Setting, and Participants: A retrospective cohort study was conducted using near/far matching instrumental variable analysis. Data from the 2011-2015 Massachusetts All-Payer Claims database and Community Servings, a not-for-profit organization delivering medically tailored meals (MTMs), were linked. The study was conducted from December 15, 2016, to January 16, 2019. Recipients of MTMs who had at least 360 days of preintervention claims data were matched to nonrecipients on the basis of demographic, clinical, and neighborhood characteristics. Interventions: Weekly delivery of 10 ready-to-consume meals tailored to the specific medical needs of the individual under the supervision of a registered dietitian nutritionist. Main Outcomes and Measures: Inpatient admissions were the primary outcome. Secondary outcomes were admission to a skilled nursing facility and health care costs (from medical and pharmaceutical claims). Results: There were 807 eligible MTM recipients. After matching, there were 499 MTM recipients, matched to 521 nonrecipients for a total of 1020 study participants (mean [SD] age, 52.7 [14.5] years; 568 [55.7%] female). Prior to matching and compared with nonrecipients in the same area, health care use, health care cost, and comorbidity were all significantly higher in recipients. For example, preintervention mean (SD) inpatient admissions were 1.6 (6.5) in MTM recipients vs 0.2 (0.8) in nonrecipients (P < .001), and mean health care costs were $80 617 ($312 337) vs $16 138 ($68 738) (P < .001). Recipients compared with nonrecipients were also significantly more likely to have HIV (21.9% vs 0.7%, P < .001), cancer (37.9% vs 11.3%, P < .001), and diabetes (33.7% vs 7.0%, P < .001). In instrumental variable analyses, MTM receipt was associated with significantly fewer inpatient admissions (incidence rate ratio [IRR], 0.51; 95% CI, 0.22-0.80; risk difference, -519; 95% CI, -360 to -678 per 1000 person-years). Similarly, MTM receipt was associated with fewer skilled nursing facility admissions (IRR, 0.28; 95% CI, 0.01-0.60; risk difference, -913; 95% CI, -689 to -1457 per 1000 person-years). The models estimated that, had everyone in the matched cohort received treatment owing to the instrument (and including the cost of program participation), mean monthly costs would have been $3838 vs $4591 if no one had received treatment owing to the instrument (difference, -$753; 95% CI, -$1225 to -$280). Conclusions and Relevance: Participation in a medically tailored meals program appears to be associated with fewer hospital and skilled nursing admissions and less overall medical spending.

Indexed as

AdultCase-Control StudiesCohort StudiesDiet, HealthyFemaleFood AssistanceFood SupplyHealth Care CostsHospitalizationHumansMaleMassachusettsMiddle AgedNutritive ValueOutcome Assessment, Health CareRetrospective Studies

Identifiers

PMID31009050
PMCPMC6547148

What OpenQuestion holds

Textmetadata
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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.