Evidence map›Paper›PMID 42834888›Full record

ArticleAJPM focus2026

The Impact of Medically Tailored Meals Interventions on Hospital Utilization in Maryland.

Natasha D Williams, Lydia Oberholtzer, Sam J Zisow-McClean, Lesyle E Wooley, Dustin H Lykins, Wei Wu, Hilda W Ndirangu

Abstract read
In one paragraph

Article in AJPM focus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Natasha D WilliamsSharp Insight LLC, Kensington, Maryland.
Lydia OberholtzerSharp Insight LLC, Kensington, Maryland.
Sam J Zisow-McCleanMoveable Feast, Baltimore, Maryland.
Lesyle E WooleyFood & Friends, Washington, District of Columbia.
Dustin H LykinsMoveable Feast, Baltimore, Maryland.
Wei WuAce Retail Group, Kansas City, Missouri.
Hilda W NdiranguMoveable Feast, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study sought to understand the extent to which receiving medically tailored meal interventions affects participants' hospitalization costs and visits, focusing on high-cost clients. Methods: The analyses explored pre- and post-enrollment data from 2,943 medically tailored meal clients who experienced inpatient hospital care in Maryland between 2021 and 2023. Unadjusted and adjusted difference-in-differences analyses examined whether changes in hospital charges and visits were different between high-cost clients and the rest of the sample. Differences in demographic characteristics were also explored. Results: On average, high-cost clients receiving medically tailored meal services experienced a 64% decrease in hospital charges from the pre- to post-enrollment period; the rest of the sample experienced an increase of 38%. High-cost clients saw an average reduction of 45% in hospital visits and a 47% reduction in Potentially Avoidable Utilization visits, whereas the rest of the sample saw a decrease of 11% in visits and no change in Potentially Avoidable Utilization visits. Conclusions: This study reveals that those with high hospital costs enrolled in 1 of 2 medically tailored meal programs experienced significantly higher reductions in hospital charges, Potentially Avoidable Utilization, and visits than those with lower costs. Future research into the characteristics associated with higher levels of utilization and healthcare spending is warranted.

Indexed as

chronic diseaseshigh-cost patientshospital costsMedically tailored meals

Identifiers

PMID42834888
PMCPMC13634747

What OpenQuestion holds

Textmetadata
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.