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Objectives: Medically tailored meals (MTMs) reduce healthcare utilization among high-risk patients with complex diet-sensitive conditions. The potential impact of MTMs across 50 U. S. states, where many Medicaid and commercial plans' coverage decisions are made for MTM, remains unknown. Methods: We estimated the potential impact of MTMs in each state, based on restricted state-level 2010-2019 Medical Expenditure Panel Survey data representing 6. 9M adults with one or more diet-sensitive conditions and limited activities of daily living, enrolled in Medicare, Medicaid, or private-payer insurance. The policy effect size was estimated by conducting a meta-analysis of published interventional studies offering an average of 10 meals/week for 8 months per year for one year. A population-based, open-cohort health policy simulation model estimated changes in annual program costs, hospitalizations, and healthcare expenditures, compared to the base scenario of without the MTMs. Results: California reported the largest eligible patient population for MTM treatment (n=888, 387), while Arizona has the smallest (n=57, 867). MTMs would avert from 1 hospitalization per 2. 3 treated patients per year in Maryland to 1 per 7. 1 in Colorado. Accounting for implementation costs, MTMs are projected to generate net cost savings across all states, with the largest savings per-patient treated in Pennsylvania (4, 280), followed by Massachusetts (4, 088), Connecticut (3, 783), and New York (3, 496) ; and lowest, in Oregon (908) and Alabama (227). Conclusions: MTM therapy for high-risk patients with chronic illnesses are projected to reduce hospitalizations and produce net savings in all 50 states, but with important variations which help inform state-level decision-makers on coverage for MTMs through Medicaid 1115 waivers, Medicare shared savings and Accountable Care Organization programs, and commercial plans. Funding Sources: National Heart, Lung, & Blood Institute (NHLBI), National Institutes of Health (NIH).
Deng et al. (Sat,) studied this question.
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