Designing Food Voucher Programs to Reduce Disparities in Healthy Diets
CHIVES
Coupons for Healthy Intake Using Variable Economic Strategies (CHIVES)
1 other identifier
interventional
359
1 country
1
Brief Summary
Improving diets through increased food and vegetable (F\&V) consumption significantly reduces the risk of cardiovascular disease (CVD). Programs increasing the accessibility and affordability of F\&Vs among low-income Americans have been hindered by the food consumption cycle associated with poverty: the tendency to over-consume calories shortly after receiving funds at the beginning of each month, draining the budget for F\&V purchases, or for all food purchases, by month's end. An emerging theory about dietary behavior suggests that providing funds for food in smaller installments distributed throughout the month will smooth the consumption cycle and improve healthy eating-counteracting the tendency to respond to lump sum, once-monthly funding installments by purchasing calorie-dense foods immediately after funds are received. The theory also suggests that funds targeted toward specific healthy foods (e.g., F\&Vs) will improve diets more than untargeted funds, despite the inconvenience of utilizing targeted funds. We will rigorously test both hypotheses in a real-world setting by comparing alternative approaches for delivering food purchasing vouchers. We have established and tested the infrastructure to provide vouchers accepted by numerous food sellers (e.g., supermarkets, corner shops) in low-income neighborhoods. Leveraging this infrastructure, we will conduct a randomized trial with a two-by-two factorial design, comparing $20 of vouchers valid for one month to four $5 vouchers each valid for a sequential week of the month (lump sum versus distributed funding), and comparing vouchers restricted to F\&V purchases to vouchers redeemable for any food (targeted versus untargeted funding). Low-income adults (N=288) recruited through our community partners will be randomized to one of four 6-month interventions: monthly targeted, monthly untargeted, weekly targeted, or weekly untargeted vouchers. Participants will be assessed through efficient verbal 24-hour dietary recalls validated among low-literacy populations, to determine daily consumption of F\&Vs and metrics of overall dietary quality at months 0, 6 and 12 (6 months after vouchers end). Additional surveys will identify moderators and mediators of dietary improvement.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable cardiovascular-diseases
Started Dec 2016
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 20, 2016
CompletedFirst Posted
Study publicly available on registry
July 25, 2016
CompletedStudy Start
First participant enrolled
December 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 9, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
October 9, 2018
CompletedResults Posted
Study results publicly available
August 28, 2019
CompletedAugust 28, 2019
July 1, 2019
1.9 years
July 20, 2016
December 14, 2018
July 24, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Cup-equivalents of Fruit and Vegetable Intake From Baseline to Month 6
Fruit and vegetable intake (measured in Cup-equivalents) at the end of month 6 of the trial, assessed by 24-hour dietary recall
Baseline and Month 6
Secondary Outcomes (3)
Change in Cup-equivalents of Fruit and Vegetable Intake From Baseline to Month 12
Baseline and Month 12
Change in Healthy Eating Index From Baseline to Month 6
Baseline and Month 6
Voucher Utilization Rate
Months 1-6 of intervention
Other Outcomes (4)
Voucher Ease of Use Survey
Month 6
Self-reported Height Survey
Month 6
Food Security Survey
Baseline, Month 6, and Month 12
- +1 more other outcomes
Study Arms (4)
1: distributed, targeted vouchers
EXPERIMENTALParticipants receive four $5 vouchers each valid for a subsequent week of the month (i.e., one voucher valid for week 1 only, a second for week 2 only, a third for week 3 only, and a fourth for week 4 only), starting in month 1 and continuing every month through month 6. The voucher is restricted to pay for fruits and vegetables.
2: lump sum, targeted vouchers
ACTIVE COMPARATORParticipants receive four $5 vouchers each valid for an entire month, starting in month 1 and continuing every month through month 6. The voucher is restricted to pay for fruits and vegetables.
3: distributed, untargeted vouchers
ACTIVE COMPARATORParticipants receive four $5 vouchers each valid for a subsequent week of the month (i.e., one voucher valid for week 1 only, a second for week 2 only, a third for week 3 only, and a fourth for week 4 only), starting in month 1 and continuing every month through month 6. The voucher can pay for any food but not tobacco, alcohol or prepared foods.
4: lump sum, untargeted vouchers
ACTIVE COMPARATORParticipants receive four $5 vouchers each valid for an entire month, starting in month 1 and continuing every month through month 6. The voucher can pay for any food but not tobacco, alcohol or prepared foods.
Interventions
A voucher is given that can be used at the cashier of participating grocery stores, corner stores, and farmer's markets, enabling a participant to have the voucher's value subtracted from their grocery bill.
Eligibility Criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Stanford Universitylead
- University of California, San Franciscocollaborator
- University of California, Irvinecollaborator
Study Sites (1)
CHIVES Study Office
San Francisco, California, 94124, United States
Related Publications (4)
White JS, Basu S. Does the benefits schedule of cash assistance programs affect the purchase of temptation goods? Evidence from Peru. J Health Econ. 2016 Mar;46:70-89. doi: 10.1016/j.jhealeco.2016.01.005. Epub 2016 Jan 29.
PMID: 26874596BACKGROUNDWhittle HJ, Palar K, Hufstedler LL, Seligman HK, Frongillo EA, Weiser SD. Food insecurity, chronic illness, and gentrification in the San Francisco Bay Area: An example of structural violence in United States public policy. Soc Sci Med. 2015 Oct;143:154-61. doi: 10.1016/j.socscimed.2015.08.027. Epub 2015 Aug 20.
PMID: 26356827BACKGROUNDSeligman HK, Bolger AF, Guzman D, Lopez A, Bibbins-Domingo K. Exhaustion of food budgets at month's end and hospital admissions for hypoglycemia. Health Aff (Millwood). 2014 Jan;33(1):116-23. doi: 10.1377/hlthaff.2013.0096.
PMID: 24395943BACKGROUNDBasu S, Gardner CD, White JS, Rigdon J, Carroll MM, Akers M, Seligman HK. Effects Of Alternative Food Voucher Delivery Strategies On Nutrition Among Low-Income Adults. Health Aff (Millwood). 2019 Apr;38(4):577-584. doi: 10.1377/hlthaff.2018.05405.
PMID: 30933599RESULT
MeSH Terms
Conditions
Limitations and Caveats
Dietary data are from self-report, via 24-hour dietary recalls. Survey data are from self-reported scales.
Results Point of Contact
- Title
- Mandy Murphy Carroll, Study Coordinator
- Organization
- Stanford University
Study Officials
- PRINCIPAL INVESTIGATOR
Sanjay Basu, MD, PhD
Stanford University
- PRINCIPAL INVESTIGATOR
Hilary K Seligman, MD, MS
University of California, San Francisco
- PRINCIPAL INVESTIGATOR
Christopher D Gardner, PhD
Stanford University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Medicine
Study Record Dates
First Submitted
July 20, 2016
First Posted
July 25, 2016
Study Start
December 1, 2016
Primary Completion
October 9, 2018
Study Completion
October 9, 2018
Last Updated
August 28, 2019
Results First Posted
August 28, 2019
Record last verified: 2019-07
Data Sharing
- IPD Sharing
- Will not share