NCT05939349

Brief Summary

The goal of this project is to co-design a healthcare provider-based produce prescription program (PPR) in partnership with the community served to improve participants' food security status, diet quality, and cardio-metabolic health outcomes, and to reduce healthcare costs, specifically related to medication use and hospital visits. Novel to this study is an implementation of a community co-designed randomized controlled trial (RCT) with a delayed intervention control group focused of equity (i.e., including the target population in the intervention designed for them) in design, implementation, and evaluation. The project will be conducted in 3 phases. Phase 1 will involve formative research and PPR co-design with community partners and potential participants through listening sessions, partner meetings, and community advisory group sessions to finalize the intervention protocol and components, for which investigators will then request IRB approval. Phase 2 will involve the implementation of a delayed intervention RCT PPR. Data analysis and final reporting will be conducted during Phase 3. Specific Aims: In collaboration with community partners and community members, utilize implementation science strategies to identify and address community, systemic, and structural barriers and assets to co-design a tailored produce prescription program (PPR) intervention that emphasizes health equity in a low-income population served by Griffin Hospital (GH) and/or Griffin Faculty Physicians (GFP). Hypothesis: Collaborating with our community partners on the design and implementation of a PPR will lead to a successful design and implementation of the PPR to our population of focus, as evidenced by satisfaction, retention, experiences of dignity/respect, improved self-efficacy related to fruit and vegetable consumption, and diet quality. Demonstrate improvements, in intervention group vs delayed intervention control group, in food security status, diet quality, and cardio-metabolic outcomes in individuals with prediabetes or type 2 diabetes through implementation of a tailored PPR in a low-income population served by GH and/or GFP. Hypothesis: The PPR designed with community input will improve food security status, diet quality, self-reported health related quality of life and cardio-metabolic outcomes (Hemoglobin A1C, weight/body mass index, lipids, blood pressure), among our intervention participants compared with a control over a 6-month period. Evaluate the impact of a tailored PPR on healthcare cost among low-income participants with prediabetes or type 2 diabetes. Hypothesis: The successful implementation of the tailored PPR will lead to a reduction in certain healthcare cost specifically related to medication usage (including dose) and reduction in emergency department visit and/or hospitalization among intervention participants compared with a control over a 6-month period.

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
134

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Sep 2023

Typical duration for not_applicable

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

April 19, 2023

Completed
3 months until next milestone

First Posted

Study publicly available on registry

July 11, 2023

Completed
2 months until next milestone

Study Start

First participant enrolled

September 1, 2023

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 31, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2025

Completed
Last Updated

August 14, 2023

Status Verified

August 1, 2023

Enrollment Period

2 years

First QC Date

April 19, 2023

Last Update Submit

August 9, 2023

Conditions

Outcome Measures

Primary Outcomes (1)

  • Glycemic control

    Glycated hemoglobin A1c (HbA1c) will be collected by Griffin's Community Health RN or Yale-Griffin Prevention Research Center Staff (will be obtained by direct measurements from the participants' finger stick blood sample) at baseline, 6 months and 9 months for both groups, while the intervention group is participating in the intervention and while the delayed group. HbA1c will be used to measure the average plasma glucose concentration and will be measured using a finger-prick test.

    Change from Baseline at 6 months and 9 months

Secondary Outcomes (10)

  • Diet quality

    Change from Baseline at 6 months and 9 months

  • Food Insecurity

    Change from Baseline at 6 months and 9 months

  • Respect and Dignity Scale

    Change from Baseline at 6 months and 9 months

  • Body weight

    Change from Baseline at 6 months and 9 months

  • Blood Pressure

    Change from Baseline at 6 months and 9 months

  • +5 more secondary outcomes

Other Outcomes (6)

  • Tracking Study Participation Inputs

    Change from Baseline at 6 months and 9 months

  • Medication use

    Change from Baseline at 6 months and 9 months

  • Emergency room visits

    Change from Baseline at 6 months and 9 months

  • +3 more other outcomes

Study Arms (2)

Intervention Group

ACTIVE COMPARATOR

The PPR intervention will span 6 months and will include 2 main components: produce vouchers and nutrition education.

Other: Produce Prescription Group

Delayed Intervention Group

NO INTERVENTION

For participants enrolled in the delayed control group they will complete all the biometric measurements and surveys during the 9-month period while the intervention group received the 6-month intervention and completes the 3-month post intervention assessments.

Interventions

Participants will receive vouchers equal to $40/household/month, with an additional $5/month per additional household member, for the purchase of fresh fruits and vegetables during the six-month intervention period. The vouchers will be administered in the form of a restricted Mastercard debit card. A variety of nutrition education options will be offered throughout the intervention period and participation will be tracked. The Nutrition education options will include a periodic newsletter to participants that will include nutrition and diabetes prevention and management opportunities available through Griffin Hospital Population Health Team, the local health department, program and education opportunities available through the Registered Dietitians, local offerings by SNAP-Education and The Expanded Food and Nutrition Education Program.

Intervention Group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • age 18 years or older
  • a patient of GH and/or GFP
  • diagnosis of prediabetes or Type 2 diabetes consistent with the American Diabetes Association diagnostic criteria
  • low-income and eligible for SNAP (Supplemental Nutrition Assistance Program, formerly known as Food Stamps) and/or Medicaid.

You may not qualify if:

  • inability to speak English or Spanish
  • having had gastric bypass or other bariatric surgeries
  • having an eating disorder, or other substantial, clinical dietary restrictions.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (29)

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    PMID: 32207798BACKGROUND
  • Andreyeva T, Tripp AS, Schwartz MB. Dietary Quality of Americans by Supplemental Nutrition Assistance Program Participation Status: A Systematic Review. Am J Prev Med. 2015 Oct;49(4):594-604. doi: 10.1016/j.amepre.2015.04.035. Epub 2015 Aug 1.

    PMID: 26238602BACKGROUND
  • Lagisetty PA, Priyadarshini S, Terrell S, Hamati M, Landgraf J, Chopra V, Heisler M. Culturally Targeted Strategies for Diabetes Prevention in Minority Population. Diabetes Educ. 2017 Feb;43(1):54-77. doi: 10.1177/0145721716683811.

    PMID: 28118127BACKGROUND
  • Teutsch S. The cost-effectiveness of preventing diabetes. Diabetes Care. 2003 Sep;26(9):2693-4. doi: 10.2337/diacare.26.9.2693. No abstract available.

    PMID: 12941741BACKGROUND
  • American Diabetes Association. Economic Costs of Diabetes in the U.S. in 2017. Diabetes Care. 2018 May;41(5):917-928. doi: 10.2337/dci18-0007. Epub 2018 Mar 22.

    PMID: 29567642BACKGROUND
  • Beckles GL, Chou CF. Disparities in the Prevalence of Diagnosed Diabetes - United States, 1999-2002 and 2011-2014. MMWR Morb Mortal Wkly Rep. 2016 Nov 18;65(45):1265-1269. doi: 10.15585/mmwr.mm6545a4.

    PMID: 27855140BACKGROUND
  • Mozaffarian D, Liu J, Sy S, Huang Y, Rehm C, Lee Y, Wilde P, Abrahams-Gessel S, de Souza Veiga Jardim T, Gaziano T, Micha R. Cost-effectiveness of financial incentives and disincentives for improving food purchases and health through the US Supplemental Nutrition Assistance Program (SNAP): A microsimulation study. PLoS Med. 2018 Oct 2;15(10):e1002661. doi: 10.1371/journal.pmed.1002661. eCollection 2018 Oct.

    PMID: 30278053BACKGROUND
  • Abdullah MM, Gyles CL, Marinangeli CP, Carlberg JG, Jones PJ. Cost-of-illness analysis reveals potential healthcare savings with reductions in type 2 diabetes and cardiovascular disease following recommended intakes of dietary fiber in Canada. Front Pharmacol. 2015 Aug 11;6:167. doi: 10.3389/fphar.2015.00167. eCollection 2015.

    PMID: 26321953BACKGROUND
  • Dodd AH, Briefel R, Cabili C, Wilson A, Crepinsek MK. Disparities in consumption of sugar-sweetened and other beverages by race/ethnicity and obesity status among United States schoolchildren. J Nutr Educ Behav. 2013 May-Jun;45(3):240-9. doi: 10.1016/j.jneb.2012.11.005. Epub 2013 Feb 13.

    PMID: 23414783BACKGROUND
  • Bowling AB, Moretti M, Ringelheim K, Tran A, Davison K. Healthy Foods, Healthy Families: combining incentives and exposure interventions at urban farmers' markets to improve nutrition among recipients of US federal food assistance. Health Promot Perspect. 2016 Mar 31;6(1):10-6. doi: 10.15171/hpp.2016.02. eCollection 2016.

    PMID: 27123431BACKGROUND
  • Cavanagh M, Jurkowski J, Bozlak C, Hastings J, Klein A. Veggie Rx: an outcome evaluation of a healthy food incentive programme. Public Health Nutr. 2017 Oct;20(14):2636-2641. doi: 10.1017/S1368980016002081. Epub 2016 Aug 19.

    PMID: 27539192BACKGROUND
  • Cooksey-Stowers K, Schwartz MB, Brownell KD. Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States. Int J Environ Res Public Health. 2017 Nov 14;14(11):1366. doi: 10.3390/ijerph14111366.

    PMID: 29135909BACKGROUND
  • Ghosh-Dastidar B, Cohen D, Hunter G, Zenk SN, Huang C, Beckman R, Dubowitz T. Distance to store, food prices, and obesity in urban food deserts. Am J Prev Med. 2014 Nov;47(5):587-95. doi: 10.1016/j.amepre.2014.07.005. Epub 2014 Sep 10.

    PMID: 25217097BACKGROUND
  • Engel K, Ruder EH. Fruit and Vegetable Incentive Programs for Supplemental Nutrition Assistance Program (SNAP) Participants: A Scoping Review of Program Structure. Nutrients. 2020 Jun 4;12(6):1676. doi: 10.3390/nu12061676.

    PMID: 32512758BACKGROUND
  • Bhat S, Coyle DH, Trieu K, Neal B, Mozaffarian D, Marklund M, Wu JHY. Healthy Food Prescription Programs and their Impact on Dietary Behavior and Cardiometabolic Risk Factors: A Systematic Review and Meta-Analysis. Adv Nutr. 2021 Oct 1;12(5):1944-1956. doi: 10.1093/advances/nmab039.

    PMID: 33999108BACKGROUND
  • Li R, Zhang P, Barker LE, Chowdhury FM, Zhang X. Cost-effectiveness of interventions to prevent and control diabetes mellitus: a systematic review. Diabetes Care. 2010 Aug;33(8):1872-94. doi: 10.2337/dc10-0843.

    PMID: 20668156BACKGROUND
  • Aiyer JN, Raber M, Bello RS, Brewster A, Caballero E, Chennisi C, Durand C, Galindez M, Oestman K, Saifuddin M, Tektiridis J, Young R, Sharma SV. A pilot food prescription program promotes produce intake and decreases food insecurity. Transl Behav Med. 2019 Oct 1;9(5):922-930. doi: 10.1093/tbm/ibz112.

    PMID: 31570927BACKGROUND
  • Trapl ES, Joshi K, Taggart M, Patrick A, Meschkat E, Freedman DA. Mixed Methods Evaluation of a Produce Prescription Program for Pregnant Women. J Hunger Environ Nutr. 2017;12(4):529-543. doi:10.1080/19320248.2016.1227749

    BACKGROUND
  • Bridle C, Riemsma RP, Pattenden J, et al. Systematic review of the effectiveness of health behavior interventions based on the transtheoretical model. Psychol Health. 2005;20(3):283-301. doi:10.1080/08870440512331333997

    BACKGROUND
  • Mainstreaming Produce Prescriptions - Center For Health Law and Policy Innovation. Accessed October 7, 2021. https://www.chlpi.org/health-law-and-policy/projects/mainstreaming-producerx/

    BACKGROUND
  • Ridberg RA, Yaroch AL, Nugent NB, Byker Shanks C, Seligman H. A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs. J Prim Care Community Health. 2022 Jan-Dec;13:21501319221101849. doi: 10.1177/21501319221101849.

    PMID: 35603984BACKGROUND
  • 2019 Valley Community Index: Understanding the Valley Region | DataHaven. Accessed June 30, 2022. https://www.ctdatahaven.org/reports/2019-valley-community-index-understanding-valley-region

    BACKGROUND
  • Chinchanachokchai S, Jamelske EM, Owens D. Tracking the Use of Free Produce Coupons Given to Families and the Impact on Children's Consumption. WMJ. 2017 Feb;116(1):40-3.

    PMID: 29099569BACKGROUND
  • Katie Garfield, Sarah Downer, Rachel Landauer, et al. Produce-RX-March-2021.Pdf.; 2021. Accessed August 19, 2021. https://www.chlpi.org/wp-content/uploads/2013/12/Produce-RX-March-2021.pdf

    BACKGROUND
  • ASA24® Dietary Assessment Tool | EGRP/DCCPS/NCI/NIH. Accessed June 30, 2022. https://epi.grants.cancer.gov/asa24/

    BACKGROUND
  • Guenther PM, Casavale KO, Reedy J, Kirkpatrick SI, Hiza HA, Kuczynski KJ, Kahle LL, Krebs-Smith SM. Update of the Healthy Eating Index: HEI-2010. J Acad Nutr Diet. 2013 Apr;113(4):569-80. doi: 10.1016/j.jand.2012.12.016. Epub 2013 Feb 13.

    PMID: 23415502BACKGROUND
  • Bickel G, Nord M, Price C, Hamilton W, Cook J. Guide to Measuring Household Food Security. USDA; Food and Nutrition Services; Office of Analysis, Nutrition, and Evaluation; 2000:1-82. https://fns-prod.azureedge.net/sites/default/files/FSGuide_0.pdf

    BACKGROUND
  • Hennessy CH, Moriarty DG, Zack MM, Scherr PA, Brackbill R. Measuring health-related quality of life for public health surveillance. Public Health Rep. 1994 Sep-Oct;109(5):665-72.

    PMID: 7938388BACKGROUND
  • Guidelines for assessing nutrition-related knowledge, attitudes and practices. Accessed June 30, 2022. https://www.fao.org/3/i3545e/i3545e00.htm

    BACKGROUND

MeSH Terms

Conditions

Glucose IntoleranceDiabetes Mellitus, Type 2

Condition Hierarchy (Ancestors)

HyperglycemiaGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesDiabetes MellitusEndocrine System Diseases

Study Officials

  • Monica Oris, RN, MSHA, CCM

    Griffin Hospital

    STUDY DIRECTOR
  • Beth P Comerford, MS

    Yale-Griffin Prevention Research Center

    STUDY DIRECTOR
  • Jaime S Foster, PhD

    Yale-Griffin Prevention Research Center

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Rockiy G Ayettey, MS, DHSc

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: The eligible participants will be allocated to one of two arms (i.e., the intervention and delayed intervention groups) and assigned a study number using a SAS-generated random table. The participants will be block randomized in blocks of 4, 6, 8, 10, 12 using a permuted block design in a 1:1 ratio to ensure a balance between the intervention and delayed intervention groups.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

April 19, 2023

First Posted

July 11, 2023

Study Start

September 1, 2023

Primary Completion

August 31, 2025

Study Completion

August 31, 2025

Last Updated

August 14, 2023

Record last verified: 2023-08

Data Sharing

IPD Sharing
Will share

DMP implementation and fidelity will reside with responsibility will reside with the Assistant Director, Evaluation/Data Director, with reporting to the Project Director and co-Investigators. The Yale-Griffin Prevention Research Center handles all data and data management and plans for all its research studies; the Center has established infrastructure to manage all aspects of the data management plan. The DMP implementation will be included in annual and final reports to NIFA and include progress in data sharing (publications, database, software, curriculum, outreach materials, etc.). The final report will also describe the data produced during the award period and the components that will be stored and preserved.

Shared Documents
STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
Time Frame
Baseline, 6 months, 12 months