Feasibility of Online-supported Delivery Bringing Optimal Nutrition to Diverse Low-income Households With Children

The goal of this study is to find ways to help families with children who have limited incomes get better access to healthy and culturally appropriate foods. The study will test a program called "medically tailored grocery box delivery," which sends boxes of healthy groceries to families based on their specific health needs. The study aims to answer: 1. Can this grocery delivery program improve families' access to healthy foods and support better eating habits? 2. Will families use the groceries provided, and how effective is the program overall? To answer these questions, researchers will: * Work with the community to design the grocery program and make sure the foods meet families' cultural preferences. * Test how well the program can be carried out in real-world settings. * Compare how the program affects families' access to healthy food, eating habits, and use of the grocery boxes.

The overarching goal of this project is to address nutrition insecurity among diverse low-income households with children by designing and piloting an intervention strategy grounded in Food Is Medicine (FIM). Leveraging existing online grocery technology, this project seeks to enhance nutrition security through a "medically tailored grocery box delivery" program. We aim to: 1) conduct formative research with a community engagement process to inform the intervention design and ensure foods are culturally acceptable and appropriate; 2) apply implementation strategies to assess the extent to which the intervention can be implemented in the intended setting exactly as evaluated; 3) compare preliminary efficacy of the program on nutrition security, dietary intake, and redemption rate. Target Population: The study will be conducted in low-income, diverse neighborhoods of New York City, specifically in the South Bronx. Selection of the community was based on the highest poverty levels, chronic disease prevalence, and ethnic diversity. The target population includes households with young children (\< age 10) at risk for food insecurity, primarily English or Spanish speakers, participating in SNAP or meeting income criteria \< 130% FPL), and access to online ordering through a smartphone or computer. Approach: Recruitment will be conducted at Bronx Health REACH, a community-based organization located in the South Bronx that serves residents of low-income and SNAP-eligible participants. SNAP-Ed provider and researchers will build the grocery box using Instacart. We will interview the provider to elicit barriers and opportunities for improvement and scalability of the program in other community settings. The formative research plan for the pilot study includes the incorporation of two focus groups at the beginning and end of the intervention, each comprising 10-12 participants. The pilot study will partner with Instacart, utilizing Instacart Care Carts for the "medically tailored grocery delivery" in which researchers order and deliver groceries on behalf of participants. Although families are not able to modify the order, they select when and where they want the grocery box delivered. A total of 30 households will be selected for the program and will receive the grocery box for 12 weeks. Participants will receive groceries that contain fresh, frozen, or canned fruits, vegetables, legumes, whole grains, and low-sugar low-fat snacks. Evaluation of the intervention will encompass a comprehensive assessment of household nutrition security and dietary intake among children and caregivers. Pre- and post-assessments will evaluate household nutrition security, and diet intake among children and their caregivers using 24-hour recalls and veggie meter assessments. Additionally, SNAP-ED providers will be interviewed to gather insights into their experiences with program delivery and the utilization of Instacart for grocery box orders. A benchmark (i.e., minimum acceptable values) will be set a priori for feasibility (i.e., recruitment, randomization, intervention fidelity, and retention rates) and acceptability following the RE-AIM framework. Instacart data will track orders, deliveries, and confirmations to assess redemption rates. Acceptability will be assessed as participant satisfaction with the intervention materials. To evaluate preliminary efficacy, linear mixed-effects models with random effects to account for repeated caregiver measures will be used.