- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04986046
Fruit and Vegetable Rx (FVRx) + Home Plate
February 17, 2025 updated by: Children's Hospital of Philadelphia
Fruit and Vegetable Rx + Home Plate, a Multilevel Intervention to Improve Dietary Disparities Among Low-income Children and Families
This is a research study to test if fruit and vegetable prescription vouchers (FVRx) and a cooking skills program (Home Plate) can improve dietary quality, food security (access to a sufficient quantity of affordable, nutritious food), feelings about the home and community food environments, and caregiver mental health.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
The purpose of this research study is to determine the effect of produce prescriptions (vouchers that can be redeemed for produce at participating locations, "FVRx") and a cooking skills program (Home Plate) on dietary quality, food security, perceptions of the food environment, and mental health.
Investigators also aim to determine the feasibility and acceptability of the programs.
Study Type
Interventional
Enrollment (Actual)
120
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
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Pennsylvania
-
Philadelphia, Pennsylvania, United States, 19104
- Children's Hospital of Philadelphia
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
2 years to 5 years (Child)
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria
- At least one child in the household is age 2 to 5 years.
Household is food insecure and/or low-income with an age-eligible, overweight or obese child.
- If a child meets the above criteria, any sibling age 2-5 is also eligible.
Exclusion Criteria
1. Caregiver or eligible children have a medical condition that significantly affects diet or eating habits.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: Fruit and vegetable prescription
Fruit and vegetable incentive program
|
All families will receive FVRx over two months; FVRx can be redeemed for fresh, frozen, or canned produce at participating retailers in Philadelphia
|
|
Experimental: Fruit and vegetable prescription + Home Plate Lite
Fruit and vegetable incentive program + asynchronous, electronic resources delivered over six weeks (Home Plate Lite)
|
All families will receive FVRx over two months; FVRx can be redeemed for fresh, frozen, or canned produce at participating retailers in Philadelphia
Home Plate Lite comprises electronic educational content (e.g.
recipes, instructional videos) disbursed at least weekly over six weeks.
|
|
Experimental: Fruit and vegetable prescription + Home Plate
Fruit and vegetable incentive program + 1.5-hour, virtual, small-group classes weekly for six weeks (Home Plate)
|
All families will receive FVRx over two months; FVRx can be redeemed for fresh, frozen, or canned produce at participating retailers in Philadelphia
Home Plate comprises six 1.5-hour weekly sessions where parents work together with a study staff member to discuss the learning objectives and prepare the components of a meal, including entrees, side dishes, and desserts.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Diet quality
Time Frame: baseline and 8 weeks
|
Diet quality of the child will be measured by use of an automated self-administered 24-hour dietary recall system (ASA24), completed by the child's caregiver.
The ASA24 is a web-based tool that enables automatically coded, self-administered 24-hour diet recalls, providing high-quality dietary data.
The ASA24 system is adapted from the United States Department of Agriculture (USDA) Automated Multiple-Pass Method, which has been validated.
Validation and evaluation studies of ASA24 have found close agreement with standardized interview-administered 24 hour recall.
|
baseline and 8 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Food security - Food Security Survey
Time Frame: baseline and 8 weeks
|
Food security status will be assessed using the USDA Food Security Survey.
The 18-item USDA Food Security Survey the time period (e.g. last 30 days) and specify lack of resources as the reason for the behavior or experience (e.g.
"couldn't afford more food," or "there was not enough money for food") to determine the level food security (very low, low, marginal, and full).
Participants are asked to check boxes next to statements that best describe their behavior.
These surveys will be administered via REDCap with telephonic support by study staff at baseline and 8 weeks following the initiation of the intervention.
|
baseline and 8 weeks
|
|
Change in Food security - Hunger Coping Scale
Time Frame: baseline and 8 weeks
|
Food security status will be assessed using the Hunger Coping Scale.
The five items from the Hunger Coping Scale question the time period (e.g. last 30 days) and specify lack of resources as the reason for the behavior or experience (e.g.
"couldn't afford more food," or "there was not enough money for food") to determine the level food security (very low, low, marginal, and full).
Participants are asked to check boxes next to statements that best describe their behavior.
These surveys will be administered via REDCap with telephonic support by study staff at baseline and 8 weeks following the initiation of the intervention.
|
baseline and 8 weeks
|
|
Change in Caregiver diet quality
Time Frame: baseline and 8 weeks
|
Caregiver diet quality will be measured by the caregivers completion of the automated self-administered 24-hour dietary recall system (ASA24) for themselves at baseline and 8 weeks following the initiation of the nutrition education intervention.
The ASA24, is a web-based tool that enables automatically coded, self-administered 24-hour diet recalls, providing high-quality dietary data.
The ASA24 system is adapted from the USDA Automated Multiple-Pass Method, which has been validated.
|
baseline and 8 weeks
|
|
Change in Caregiver perceived food environment
Time Frame: baseline and 8 weeks
|
Perceptions of food environment will be assessed using the Perceived Nutrition Environment Measures survey (NEMS-P).
The survey is completed by the person who does the majority of the food shopping in a household to learn about his/her perceptions of the nutrition environments (where food is consumed or purchased, and in the home).
Participants are asked to check boxes next to statements that best describe their behavior (e.g.
"strongly disagree" to "strongly agree" or "never or rarely" to "almost always".
Components within the survey ar examined individually.
The survey can discriminate perceptions of nutrition environments between residents of higher- and lower-socioeconomic status (SES) neighborhoods.
The NEMS-P will be administered via REDCap with telephonic support by study staff at baseline and 8 weeks following the initiation of the nutrition education intervention.
|
baseline and 8 weeks
|
|
Change in Caregiver mental health - Loneliness
Time Frame: baseline and 8 weeks
|
Caregiver mental health will be measured using the Revised UCLA (R-UCLA) Loneliness Scale designed to measure one's subjective feelings of loneliness as well as feelings of social isolation.
Participants rate each item on a scale from "hardly ever" to "often".
Minimum score is 3 maximum score is 9; higher scores indicate worse outcome.
|
baseline and 8 weeks
|
|
Program feasibility - Voucher Redemption
Time Frame: 8 weeks
|
Program feasibility will be assessed through voucher redemption
|
8 weeks
|
|
Program feasibility - Home Plate Class Attendance
Time Frame: 8 weeks
|
Program feasibility will be assessed through virtual Home Plate class attendance
|
8 weeks
|
|
Program feasibility - Participant Satisfaction
Time Frame: 8 weeks
|
Program feasibility will be assessed through participant feedback measured by completion of the participant satisfaction surveys and phone interviews post intervention.
|
8 weeks
|
|
Change in Urine Metabolites
Time Frame: Baseline and 8 weeks
|
Urine samples will be collected from subjects at baseline and 8 weeks and measured by metabolomic analysis to quantify association with dietary biomarkers.
|
Baseline and 8 weeks
|
|
Change in Caregiver mental health - Depression
Time Frame: baseline and 8 weeks
|
The Center for Epidemiologic Studies Depressive Scale (CES-D) is a 20-item questionnaire that includes a brief self-report for which the scale is designed to measure self-reported symptoms associated with depression experienced in the past week.
Participants rate each item on a scale from 0= "Rarely or none of the time (less than 1-day)", 1= "Some or a little of the time (1-2 days)," 2= "Occasionally or a moderate amount of the time (3-4 days," or 3="Most or all of the time (5-7 days)."The
scale will be administered via REDCap with telephonic support by study staff at baseline and 8 weeks following the initiation of the interventions.
High scores indicating greater depressive symptoms.
|
baseline and 8 weeks
|
|
Change in Food security - 2-item Nutrition Security Screener (NSS)
Time Frame: baseline and 8 weeks
|
Food security status will be assessed using the NSS.
These surveys will be administered via REDCap with telephonic support by study staff at baseline and 8 weeks following the initiation of the intervention.
|
baseline and 8 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV, Paul DR, Sebastian RS, Kuczynski KJ, Ingwersen LA, Staples RC, Cleveland LE. The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr. 2008 Aug;88(2):324-32. doi: 10.1093/ajcn/88.2.324.
- Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano RP, Bingham S, Schoeller DA, Schatzkin A, Carroll RJ. Structure of dietary measurement error: results of the OPEN biomarker study. Am J Epidemiol. 2003 Jul 1;158(1):14-21; discussion 22-6. doi: 10.1093/aje/kwg091.
- Thompson FE, Dixit-Joshi S, Potischman N, Dodd KW, Kirkpatrick SI, Kushi LH, Alexander GL, Coleman LA, Zimmerman TP, Sundaram ME, Clancy HA, Groesbeck M, Douglass D, George SM, Schap TE, Subar AF. Comparison of Interviewer-Administered and Automated Self-Administered 24-Hour Dietary Recalls in 3 Diverse Integrated Health Systems. Am J Epidemiol. 2015 Jun 15;181(12):970-8. doi: 10.1093/aje/kwu467. Epub 2015 May 10.
- Russell D, Peplau LA, Cutrona CE. The revised UCLA Loneliness Scale: concurrent and discriminant validity evidence. J Pers Soc Psychol. 1980 Sep;39(3):472-80. doi: 10.1037//0022-3514.39.3.472.
- Rivera RL, Maulding MK, Eicher-Miller HA. Effect of Supplemental Nutrition Assistance Program-Education (SNAP-Ed) on food security and dietary outcomes. Nutr Rev. 2019 Dec 1;77(12):903-921. doi: 10.1093/nutrit/nuz013.
- Jun S, Thuppal SV, Maulding MK, Eicher-Miller HA, Savaiano DA, Bailey RL. Poor Dietary Guidelines Compliance among Low-Income Women Eligible for Supplemental Nutrition Assistance Program-Education (SNAP-Ed). Nutrients. 2018 Mar 8;10(3):327. doi: 10.3390/nu10030327.
- Green SH, Glanz K. Development of the Perceived Nutrition Environment Measures Survey. Am J Prev Med. 2015 Jul;49(1):50-61. doi: 10.1016/j.amepre.2015.02.004.
- Kirkpatrick SI, Subar AF, Douglass D, Zimmerman TP, Thompson FE, Kahle LL, George SM, Dodd KW, Potischman N. Performance of the Automated Self-Administered 24-hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall. Am J Clin Nutr. 2014 Jul;100(1):233-40. doi: 10.3945/ajcn.114.083238. Epub 2014 Apr 30.
- Smith LP, Ng SW, Popkin BM. Trends in US home food preparation and consumption: analysis of national nutrition surveys and time use studies from 1965-1966 to 2007-2008. Nutr J. 2013 Apr 11;12:45. doi: 10.1186/1475-2891-12-45.
- Zick CD, Stevens RB. Trends in Americans' food-related time use: 1975-2006. Public Health Nutr. 2010 Jul;13(7):1064-72. doi: 10.1017/S1368980009992138. Epub 2009 Nov 30.
- Brownell KD. Fast food and obesity in children. Pediatrics. 2004 Jan;113(1 Pt 1):132. doi: 10.1542/peds.113.1.132. No abstract available.
- Nelson SA, Corbin MA, Nickols-Richardson SM. A call for culinary skills education in childhood obesity-prevention interventions: current status and peer influences. J Acad Nutr Diet. 2013 Aug;113(8):1031-6. doi: 10.1016/j.jand.2013.05.002. No abstract available.
- Kim SA, Moore LV, Galuska D, Wright AP, Harris D, Grummer-Strawn LM, Merlo CL, Nihiser AJ, Rhodes DG; Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, CDC. Vital signs: fruit and vegetable intake among children - United States, 2003-2010. MMWR Morb Mortal Wkly Rep. 2014 Aug 8;63(31):671-6.
- Moore LV, Thompson FE. Adults Meeting Fruit and Vegetable Intake Recommendations - United States, 2013. MMWR Morb Mortal Wkly Rep. 2015 Jul 10;64(26):709-13.
- Whiteman ED, Chrisinger BW, Hillier A. Diet Quality Over the Monthly Supplemental Nutrition Assistance Program Cycle. Am J Prev Med. 2018 Aug;55(2):205-212. doi: 10.1016/j.amepre.2018.04.027. Epub 2018 Jun 21.
- Block JP, Subramanian SV. Moving Beyond "Food Deserts": Reorienting United States Policies to Reduce Disparities in Diet Quality. PLoS Med. 2015 Dec 8;12(12):e1001914. doi: 10.1371/journal.pmed.1001914. eCollection 2015 Dec.
- Choi SE, Seligman H, Basu S. Cost Effectiveness of Subsidizing Fruit and Vegetable Purchases Through the Supplemental Nutrition Assistance Program. Am J Prev Med. 2017 May;52(5):e147-e155. doi: 10.1016/j.amepre.2016.12.013. Epub 2017 Jan 30.
- Olsho LE, Klerman JA, Wilde PE, Bartlett S. Financial incentives increase fruit and vegetable intake among Supplemental Nutrition Assistance Program participants: a randomized controlled trial of the USDA Healthy Incentives Pilot. Am J Clin Nutr. 2016 Aug;104(2):423-35. doi: 10.3945/ajcn.115.129320. Epub 2016 Jun 22.
- Young CR, Aquilante JL, Solomon S, Colby L, Kawinzi MA, Uy N, Mallya G. Improving fruit and vegetable consumption among low-income customers at farmers markets: Philly Food Bucks, Philadelphia, Pennsylvania, 2011. Prev Chronic Dis. 2013 Oct 3;10:E166. doi: 10.5888/pcd10.120356.
- Tester JM, Leung CW, Crawford PB. Revised WIC Food Package and Children's Diet Quality. Pediatrics. 2016 May;137(5):e20153557. doi: 10.1542/peds.2015-3557. Epub 2016 Apr 7.
- Parks CA, Stern KL, Fricke HE, Clausen W, Yaroch AL. Healthy Food Incentive Programs: Findings From Food Insecurity Nutrition Incentive Programs Across the United States. Health Promot Pract. 2020 May;21(3):421-429. doi: 10.1177/1524839919898207. Epub 2020 Jan 27.
- Marsh DR, Schroeder DG, Dearden KA, Sternin J, Sternin M. The power of positive deviance. BMJ. 2004 Nov 13;329(7475):1177-9. doi: 10.1136/bmj.329.7475.1177.
- Gebremedhin S, Baye K, Bekele T, Tharaney M, Asrat Y, Abebe Y, Reta N. Predictors of dietary diversity in children ages 6 to 23 mo in largely food-insecure area of South Wollo, Ethiopia. Nutrition. 2017 Jan;33:163-168. doi: 10.1016/j.nut.2016.06.002. Epub 2016 Jun 16.
- Mackintosh UA, Marsh DR, Schroeder DG. Sustained positive deviant child care practices and their effects on child growth in Viet Nam. Food Nutr Bull. 2002 Dec;23(4 Suppl):18-27.
- Virudachalam S, Long JA, Harhay MO, Polsky DE, Feudtner C. Prevalence and patterns of cooking dinner at home in the USA: National Health and Nutrition Examination Survey (NHANES) 2007-2008. Public Health Nutr. 2014 May;17(5):1022-30. doi: 10.1017/S1368980013002589. Epub 2013 Oct 10.
- Saxe-Custack A, LaChance J, Hanna-Attisha M, Dawson C. Flint Kids Cook: positive influence of a farmers' market cooking and nutrition programme on health-related quality of life of US children in a low-income, urban community. Public Health Nutr. 2021 Apr;24(6):1492-1500. doi: 10.1017/S136898002000395X. Epub 2020 Oct 8.
- Compher CW, Quinn R, Burke F, Piccinin D, Sartor L, Lewis JD, Wu GD. Development of the Penn Healthy Diet screener with reference to adult dietary intake data from the National Health and Nutrition Examination Survey. Nutr J. 2022 Nov 17;21(1):70. doi: 10.1186/s12937-022-00821-w.
- Pinard C, Smith TM, Calloway EE, Fricke HE, Bertmann FM, Yaroch AL. Auxiliary measures to assess factors related to food insecurity: Preliminary testing and baseline characteristics of newly designed hunger-coping scales. Prev Med Rep. 2016 Jun 29;4:289-95. doi: 10.1016/j.pmedr.2016.06.021. eCollection 2016 Dec.
- Cosco TD, Prina M, Stubbs B, Wu YT. Reliability and Validity of the Center for Epidemiologic Studies Depression Scale in a Population-Based Cohort of Middle-Aged U.S. Adults. J Nurs Meas. 2017 Dec 1;25(3):476-485. doi: 10.1891/1061-3749.25.3.476.
- Cohen AJ, Richardson CR, Heisler M, Sen A, Murphy EC, Hesterman OB, Davis MM, Zick SM. Increasing Use of a Healthy Food Incentive: A Waiting Room Intervention Among Low-Income Patients. Am J Prev Med. 2017 Feb;52(2):154-162. doi: 10.1016/j.amepre.2016.11.008. Erratum In: Am J Prev Med. 2017 Apr;52(4):554. doi: 10.1016/j.amepre.2017.01.029.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2022
Primary Completion (Actual)
April 3, 2024
Study Completion (Actual)
April 3, 2024
Study Registration Dates
First Submitted
June 9, 2021
First Submitted That Met QC Criteria
July 22, 2021
First Posted (Actual)
August 2, 2021
Study Record Updates
Last Update Posted (Actual)
March 25, 2025
Last Update Submitted That Met QC Criteria
February 17, 2025
Last Verified
February 1, 2025
More Information
Terms related to this study
Other Study ID Numbers
- 20-018132
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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