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Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study
BACKGROUND: Produce prescription programs, providing free or discounted produce and nutrition education to patients with diet‐related conditions within health care systems, have been shown to improve dietary quality and cardiometabolic risk factors. The potential impact of implementing produce presc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492976/ https://www.ncbi.nlm.nih.gov/pubmed/37417296 http://dx.doi.org/10.1161/JAHA.122.029215 |
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author | Wang, Lu Lauren, Brianna N. Hager, Kurt Zhang, Fang Fang Wong, John B. Kim, David D. Mozaffarian, Dariush |
author_facet | Wang, Lu Lauren, Brianna N. Hager, Kurt Zhang, Fang Fang Wong, John B. Kim, David D. Mozaffarian, Dariush |
author_sort | Wang, Lu |
collection | PubMed |
description | BACKGROUND: Produce prescription programs, providing free or discounted produce and nutrition education to patients with diet‐related conditions within health care systems, have been shown to improve dietary quality and cardiometabolic risk factors. The potential impact of implementing produce prescription programs for patients with diabetes on long‐term health gains, costs, and cost‐effectiveness in the United States has not been established. METHODS AND RESULTS: We used a validated state‐transition microsimulation model (Diabetes, Obesity, Cardiovascular Disease Microsimulation model), populated with national data of eligible individuals from the National Health and Nutrition Examination Survey 2013 to 2018, further incorporating estimated intervention effects and diet‐disease effects from meta‐analyses, and policy‐ and health‐related costs from published literature. The model estimated that over a lifetime (mean=25 years), implementing produce prescriptions in 6.5 million US adults with both diabetes and food insecurity (lifetime treatment) would prevent 292 000 (95% uncertainty interval, 143 000–440 000) cardiovascular disease events, generate 260 000 (110000–411 000) quality‐adjusted life‐years, cost $44.3 billion in implementation costs, and save $39.6 billion ($20.5–58.6 billion) in health care costs and $4.8 billion ($1.84–$7.70 billion) in productivity costs. The program was highly cost effective from a health care perspective (incremental cost‐effectiveness ratio: $18 100/quality‐adjusted life‐years) and cost saving from a societal perspective (net savings: $−0.05 billion). The intervention remained cost effective at shorter time horizons of 5 and 10 years. Results were similar in population subgroups by age, race or ethnicity, education, and baseline insurance status. CONCLUSIONS: Our model suggests that implementing produce prescriptions among US adults with diabetes and food insecurity would generate substantial health gains and be highly cost effective. |
format | Online Article Text |
id | pubmed-10492976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104929762023-09-11 Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study Wang, Lu Lauren, Brianna N. Hager, Kurt Zhang, Fang Fang Wong, John B. Kim, David D. Mozaffarian, Dariush J Am Heart Assoc Original Research BACKGROUND: Produce prescription programs, providing free or discounted produce and nutrition education to patients with diet‐related conditions within health care systems, have been shown to improve dietary quality and cardiometabolic risk factors. The potential impact of implementing produce prescription programs for patients with diabetes on long‐term health gains, costs, and cost‐effectiveness in the United States has not been established. METHODS AND RESULTS: We used a validated state‐transition microsimulation model (Diabetes, Obesity, Cardiovascular Disease Microsimulation model), populated with national data of eligible individuals from the National Health and Nutrition Examination Survey 2013 to 2018, further incorporating estimated intervention effects and diet‐disease effects from meta‐analyses, and policy‐ and health‐related costs from published literature. The model estimated that over a lifetime (mean=25 years), implementing produce prescriptions in 6.5 million US adults with both diabetes and food insecurity (lifetime treatment) would prevent 292 000 (95% uncertainty interval, 143 000–440 000) cardiovascular disease events, generate 260 000 (110000–411 000) quality‐adjusted life‐years, cost $44.3 billion in implementation costs, and save $39.6 billion ($20.5–58.6 billion) in health care costs and $4.8 billion ($1.84–$7.70 billion) in productivity costs. The program was highly cost effective from a health care perspective (incremental cost‐effectiveness ratio: $18 100/quality‐adjusted life‐years) and cost saving from a societal perspective (net savings: $−0.05 billion). The intervention remained cost effective at shorter time horizons of 5 and 10 years. Results were similar in population subgroups by age, race or ethnicity, education, and baseline insurance status. CONCLUSIONS: Our model suggests that implementing produce prescriptions among US adults with diabetes and food insecurity would generate substantial health gains and be highly cost effective. John Wiley and Sons Inc. 2023-07-07 /pmc/articles/PMC10492976/ /pubmed/37417296 http://dx.doi.org/10.1161/JAHA.122.029215 Text en © 2023 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Wang, Lu Lauren, Brianna N. Hager, Kurt Zhang, Fang Fang Wong, John B. Kim, David D. Mozaffarian, Dariush Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study |
title | Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study |
title_full | Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study |
title_fullStr | Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study |
title_full_unstemmed | Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study |
title_short | Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study |
title_sort | health and economic impacts of implementing produce prescription programs for diabetes in the united states: a microsimulation study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492976/ https://www.ncbi.nlm.nih.gov/pubmed/37417296 http://dx.doi.org/10.1161/JAHA.122.029215 |
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