The impact of a produce prescription programme on healthy food purchasing and diabetes-related health outcomes

Julian Xie, Ashley Price, Neal Curran, Truls Østbye, Julian Xie, Ashley Price, Neal Curran, Truls Østbye

Abstract

Objective: To evaluate a Produce Prescription Programme’s utilisation and its effects on healthy food purchasing and diabetes control among participants with type 2 diabetes.

Design: Prospective cohort study using participants’ electronic health records and food transaction data. Participants were categorised as ‘Frequent Spenders’ and ‘Sometimes Spenders’ based on utilisation frequency. Multivariate regressions assessed utilisation predictors and programme effects on fruit/vegetable purchasing (spending, expenditure share and variety) and on diabetes-related outcomes (HbA1c, BMI and blood pressure).

Setting: Patients enrolled by clinics in Durham, North Carolina, USA. Participants received $40 monthly for fruits and vegetables at a grocery store chain.

Participants: A total of 699 food-insecure participants (353 with diabetes).

Results: Being female and older was associated with higher programme utilisation; hospitalisations were negatively associated with programme utilisation. Frequent Spender status was associated with $8·77 more in fruit/vegetable spending (P < 0·001), 3·3 % increase in expenditure share (P = 0·007) and variety increase of 2·52 fruits and vegetables (P < 0·001). For $10 of Produce Prescription Dollars spent, there was an $8·00 increase in fruit/vegetable spending (P < 0·001), 4·1 % increase in expenditure share and variety increase of 2·3 fruits/vegetables (P < 0·001). For the 353 participants with diabetes, there were no statistically significant relationships between programme utilisation and diabetes control.

Conclusions: Programme utilisation was associated with healthier food purchasing, but the relatively short study period and modest intervention prevent making conclusions about health outcomes. Produce Prescription Programmes can increase healthy food purchasing among food-insecure people, which may improve chronic disease care.

Keywords: Clinic community partnership; Electronic health records; Food insecurity; Grocery store transaction data; Nutrition incentive; Produce Prescription Programme.

Figures

Graphical abstract
Graphical abstract
Fig. 1
Fig. 1
Data timeline for Produce Prescription Programme. Timeline for electronic health records (her), food transaction and Produce Prescription Programme enrolment data. Diagram showing dates of availability for each data source. Red rectangle shows EHR data from November 2017 to June 2019, a blue rectangle shows food transaction data from April 2018 to June 2019 and a green rectangle shows the Produce Prescription enrolment period from May 2018 to May 2019
Fig. 2
Fig. 2
Food purchasing patterns for Produce Prescription Programme participants by utilisation level. Changes in food spending for participants month to month among those who were Frequent or Sometimes Spenders. See Supplemental Material for a table of data included in this figure. Two stacked bar charts showing spending patterns for Produce Prescription Programme Frequent Spenders and Sometimes Spenders. Each stacked bar has three segments to represent fruit and vegetable spending paid with Produce Prescription Dollars, fruit and vegetable spending paid with other methods and non-fruit and vegetable spending. Accompanying data are shown in table form in the Supplemental Material

References

    1. Cooksey-Stowers K, Schwartz MB & Brownell KD (2017) Food swamps predict obesity rates better than food deserts in the United States. Int J Environ Res Public Health 14, 1366.
    1. Coleman-Jensen A, Rabbitt MP & Gregory CA (2019) Food Security Status of U.S. Households in 2018. US Department of Agriculture Economic Research Service. .
    1. (2019) Household Food Insecurity Rates by State, 2016–2018. Food Research and Action Center. .
    1. Mortiboy M (2021) Durham County Community Health Assessment 2020. Durham: Department of Public Health. .
    1. Andreyeva T, Tripp AS & Schwartz MB (2015) Dietary quality of Americans by supplemental nutrition assistance program participation status: a systematic review. Am J Prev Med 49, 594–604.
    1. Berkowitz SA, Karter AJ, Corbie-Smith Get al. (2018) Food insecurity, food ‘deserts,’ and glycemic control in patients with diabetes: a longitudinal analysis. Diabetes Care 41, 1188–1195.
    1. Parks CA, Stern KL, Fricke HEet al. (2020) Healthy food incentive programs: findings from food insecurity nutrition incentive programs across the United States. Health Promot Pract 21, 421–429.
    1. (2018) Healthy Food Playbook: Fruit and vegetable incentives. Health Care Without Harm. .
    1. Swartz H (2018) Produce Rx programs for diet-based chronic disease prevention. AMA J Ethics 20, 960–973.
    1. Yoder AD, Proaño GV & Handu D (2020) Retail nutrition programs and outcomes: an evidence analysis center scoping review. J Acad Nutr Diet. Published online: 20 November 2020. doi: 10.1016/j.jand.2020.08.080.
    1. Makelarski JA, Abramsohn E, Benjamin JHet al. (2017) Diagnostic accuracy of two food insecurity screeners recommended for use in health care settings. Am J Public Health 107, 1812–1817.
    1. Steele-Adjognon M & Weatherspoon D (2017) Double up food bucks program effects on SNAP recipients’ fruit and vegetable purchases. BMC Public Health 17, 946.
    1. Schaeffer K (2019) Among U.S. couples, women do more cooking and grocery shopping than men. Pew Res Cent. .
    1. Lee Anne F, Bisakha S, Kilgore MLet al. (2014) The influence of gender, age, education, and household size on meal preparation and food shopping responsibilities. Public Health Nutr 17, 2061–2070.
    1. Gregory M, Tracy V, Heather Ket al. (2014) Understanding the Rates, Causes, and Costs of Churning in the Supplemental Nutrition Assistance Program (SNAP). USDA Food and Nutrition Service and Urban Institute. .
    1. Alma V (2019) Trends in Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2010 to Fiscal Year 2017. USDA Food and Nutrition Service. .
    1. Bergmans RS, Mezuk B & Zivin K (2019) Food insecurity and geriatric hospitalization. Int J Environ Res Public Health 16, 2294.
    1. Trapl ES, Smith S, Joshi Ket al. (2018) Dietary impact of produce prescriptions for patients with hypertension. Prev Chronic Dis 15, E138.
    1. Cohen AJ, Richardson CR, Heisler Met al. (2017) Increasing use of a healthy food incentive: a waiting room intervention among low-income patients. Am J Prev Med 52, 154–162.
    1. Petersen CL, Brooks JM, Titus AJet al. (2019) Relationship between food insecurity and functional limitations in older adults from 2005–2014 NHANES. J Nutr Gerontol Geriatr 38, 231–246.
    1. Stanley K (2014) Nutrition considerations for the growing population of older adults with diabetes. Diabetes Spectr Publ Am Diabetes Assoc 27, 29–36.
    1. Bryce R, Guajardo C, Ilarraza Det al. (2017) Participation in a farmers’ market fruit and vegetable prescription program at a federally qualified health center improves hemoglobin A1C in low income uncontrolled diabetics. Prev Med Rep 7, 176–179.
    1. Kahleova H, Salas-Salvadó J, Rahelić Det al. (2019) Dietary patterns and cardiometabolic outcomes in diabetes: a summary of systematic reviews and meta-analyses. Nutrients 11, 2209.
    1. Ridberg RA, Bell JF, Merritt KEet al. (2019) A pediatric fruit and vegetable prescription program increases food security in low-income households. J Nutr Educ Behav 51, 224.e1–230.e1.
    1. Leone LA, Fleischhacker S, Anderson-Steeves Bet al. (2020) Healthy food retail during the COVID-19 pandemic: challenges and future directions. Int J Environ Res Public Health 17, 7397.
    1. (2021) FNS Launches the Online Purchasing Pilot. USDA Food Nutr Serv. .
    1. Jaacks LM & Bellows AL (2017) Let food be thy medicine: linking local food and health systems to address the full spectrum of malnutrition in low-income and middle-income countries. BMJ Glob Health 2, e000564.
    1. Goddu AP, Roberson TS, Raffel KEet al. (2015) Food Rx: a community-university partnership to prescribe healthy eating on the south side of Chicago. J Prev Interv Community 43, 148–162.
    1. Berkowitz SA, Seligman HK, Rigdon Jet al. (2017) Supplemental nutrition assistance program (SNAP) participation and health care expenditures among low-income adults. JAMA Intern Med 177, 1642–1649.
    1. Berkowitz SA, Terranova J, Hill Cet al. (2018) Meal delivery programs reduce the use of costly health care in dually eligible Medicare and Medicaid beneficiaries. Health Aff (Millwood) 37, 535–542.
    1. Lee Y, Mozaffarian D, Sy Set al. (2019) Cost-effectiveness of financial incentives for improving diet and health through Medicare and Medicaid: a Microsimulation study. PLOS Med 16, e1002761.
    1. Lundeen EA (2017) Clinical-community partnerships to identify patients with food insecurity and address food needs. Prev Chronic Dis 14, E113.

Source: PubMed

3
구독하다