Document Type

Article

Publication Date

11-4-2024

Comments

This article is the author's final published version in BMC Nutrition, Volume 10, Issue 1, December 2024, Article number 147.

The published version is available at https://doi.org/10.1186/s40795-024-00955-6.

Copyright © The Author(s) 2024

Abstract

BACKGROUND: Medically tailored meal (MTM) programs provide home-delivered meals to people living with serious illness and poor nutritional status. Client outcome studies have found evidence of decreased healthcare utilization and cost savings associated with MTM program participation, and inconclusive evidence of change in health measures. The purpose of this study was to use a novel observational framework to describe the client profile and change in health outcomes using routinely collected health and program data from a community-based MTM program at MANNA (Philadelphia, PA).

METHODS: Clients reported their self-rated health and experiences of food insecurity and malnutrition. Healthcare providers reported clients' body mass index, systolic blood pressure, and hemoglobin A1C. These health outcomes, measured at program intake and 3-6 months later, were linked with administrative data for 1,959 clients who completed at least two months of MTM services in 2020, 2021, and 2022.

RESULTS: Clients exhibited substantial heterogeneity in demographics and health status at intake. Self-reported malnutrition risk decreased significantly over program duration (p < .001). Nearly one-third of clients with poor health reported improvement over time. Over 60% of clients with obesity experienced stable BMI. Clients with hypertension experienced significant improvements in systolic blood pressure (p < .001). Clients with diabetes and available data (n = 45) demonstrated significant reduction in hemoglobin A1C (p = .005).

CONCLUSION: We found evidence that participation in MANNA's MTM program was associated with favorable health outcomes for clients with serious illness and nutritional risk. Community-based organizations can maximize the completeness of their data by focusing on routinely collected internal data like validated health screeners and surveys.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

PubMed ID

39497206

Language

English

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