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The study will include women enrolled during the second trimester of pregnancy who will be provided with a specific amount per month for 10 months to purchase produce. Women will be provided with up to three nutrition education sessions and will be sent text message reminders to redeem their incentives every month and to provide them with nutrition tips. The study will use a co-design approach to utilize feedback from potential participants as well as participants at multiple time points in the process to improve the intervention and make it more relevant and impactful to our population.
This protocol describes the implementation of an intervention to improve access to fruits and vegetables among pregnant Latina women in Hartford CT in partnership with Wholesome Wave of Bridgeport CT, a national leader in nutrition incentive programming and policy. The target population are pregnant Latina women living in Hartford CT. Having access to the right foods as well as enough food during pregnancy promotes optimal fetal development. A prescription program that provides increased fruit and vegetable access to low-income pregnant women can help improve the diet of women during pregnancy. Nutrition education sessions (either virtual or in person) will be attended by all participants with one session required and up to two additional sessions optional. Fruits and vegetables may be purchased at diverse community locations or online for home delivery.
Age
18 - No limit years
Sex
FEMALE
Healthy Volunteers
No
Hispanic Health Council
Hartford, Connecticut, United States
Start Date
August 1, 2023
Primary Completion Date
August 31, 2025
Completion Date
August 31, 2025
Last Updated
March 16, 2026
154
ACTUAL participants
Produce purchase incentive
BEHAVIORAL
Lead Sponsor
Yale University
Collaborators
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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