Abstract

Socioeconomic risk factors have the greatest impact on overall health trajectory. Patients with Medicaid insurance are more likely to experience food insecurity, in addition to poor health and increased health care utilization. Targeted food and produce prescription programs can reduce food insecurity, but sustainable implementation is challenging and evidence demonstrating the impact on clinical utilization outcomes is lacking. In 2021, a cross-sector collaboration between Mecklenburg County Public Health, Reinvestment Partners, and Atrium Health initiated a food prescription program in urban North Carolina. A low-cost mass text message campaign was used to identify and enroll Medicaid-insured patients with a history of emergency department (ED) utilization. A nonrandomized before/after evaluation design was used with a 12-month data collection window (6 months before/after program enrollment) for 711 patients enrolled between June 2021 and 2022. Changes in the odds of nonadmission ED utilization were modeled using logistic regression, adjusting for race/ethnicity, gender, age, comorbidity, and dose, along with interaction by comorbidity. A majority of the sample was non-Hispanic Black (61%; n = 436), female (90%; n = 643), with "none to mild" chronic disease comorbidity (81%; n = 573). The unadjusted and adjusted odds of nonadmission ED utilization significantly reduced between time periods, along with significant interaction by comorbidity. Among the subsamples, patients with "none to mild" comorbidity showed 34% reduction in odds of nonadmission ED utilization (OR = 0.64; 95% CI, 0.47-0.86). Food prescription programming targeting Medicaid-insured patients may reduce ED utilization, particularly among those without severe comorbidity. Retrospective data collection and sample homogeneity reduced the quality of evidence, but results offer a pragmatic example that can be replicated for further study. Additional research is needed to strengthen the body of evidence and support cross-sector investment in food and produce prescription programming.

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