Type 2 & other diabetes

Health and Economic Impact and Cost-effectiveness of Produce Prescriptions for Diabetes in 50 U.S. States: A Microsimulation Study

Diabetes CarePublished Microsimulation study

Authors' conclusion

PRx for patients with diabetes and food insecurity could substantially improve health and be cost saving or cost-effective in all U.S. states.

Study context

Population
Adults aged 40–79 years with both diabetes and food insecurity in each U.S. state (50 states)eligible: 693,000 (California) to 7,000 (Wyoming)
Comparison
Produce prescription (PRx) programs for adults with diabetes and food insecurity
Outcome
Health and economic impact of PRx across states
Follow-up
10 years
Methodological detailsvalidated microsimulation model, state-specific data, probabilistic sensitivity analyses, 5- and 10-year horizons, 3% annual discounting, Pooled intervention effects and costs from 20 PRx programs
  • Validated microsimulation model
  • State-specific data
  • Probabilistic sensitivity analyses
  • 5- and 10-year horizons
  • 3% annual discounting
  • Pooled intervention effects and costs from 20 PRx programs

Main finding

As reported in the abstract

10 years
Cardiovascular disease (CVD) events averted, Texas
9,240 (95% UI 4,710-14,500)
CVD events averted, Alaska
94 (95% UI 48-147)
Quality-adjusted life-years (QALYs) gained across states, highest
9,990 (95% UI 4,810-15,500)
QALYs gained across states, lowest
92.2 (95% UI −30.8 to 159)
States in which PRx net cost-saving (health care perspective)
43 of 50
Largest net saving, New York
$345 million
Largest net costs, California
$155 million

Further findings

Cost-saving by insurance type

PRx most likely cost-saving for Medicare beneficiaries, followed by Medicaid and private payers

5-year horizon

Similar patterns observed over 5 years

Original publication

Health and Economic Impact and Cost-effectiveness of Produce Prescriptions for Diabetes in 50 U.S. States: A Microsimulation Study. Diabetes Care. Published 6 August 2025. doi:10.2337/dc25-0144

Composed by AI from the published abstract and checked against it. How Briefs are made →

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