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Roll-Out Implementation Optimization (ROIO) trial to develop and test the implementation of a food security screening
Kyung E Rhee1,2,3, Sarah Hiller-Venegas4, Clare Viglione4
1Department of Pediatrics, University of California San Diego, La Jolla, CA, USA. K1rhee@health.ucsd.edu.
Implementation Science Communications
|June 19, 2026
Summary
This study refines a food insecurity (FI) screening and referral program for pediatric clinics. It aims to create a sustainable model to improve nutrition-related health outcomes for low-income children.
Area of Science:
- Implementation Science
- Pediatric Health
- Public Health Nutrition
Background:
- Food insecurity (FI) negatively impacts children's health, psychosocial functioning, and academic achievement.
- Integrating nutrition support into healthcare is recommended but faces implementation challenges in clinical settings.
- Existing workflows for FI screening and referral are inconsistently implemented and difficult to sustain.
Purpose of the Study:
- To refine, adapt, and optimize a comprehensive FI screening and referral program (I-FRESH) for pediatric healthcare systems.
- To identify effective implementation strategies for successful adoption and long-term sustainability of FI programs.
- To generate a scalable, context-responsive implementation model for addressing FI in pediatric settings.
Main Methods:
- A RollOut Implementation and Optimization (ROIO) trial design will be used across 4 pediatric clinics.
- The I-FRESH program includes FI screening, needs assessment, referral/navigation support, and follow-up.
- The Pragmatic, Robust Implementation and Sustainability Model (PRISM) and RE-AIM framework will guide adaptation and evaluation.
Main Results:
- Preliminary effectiveness will be assessed on family-level food security and pediatric nutrition-related health outcomes.
- Implementation strategies will be identified to enhance the likelihood of successful program implementation and sustainability.
- Data will inform a future Type 2 Hybrid Effectiveness-Implementation Trial.
Conclusions:
- This study will yield a scalable, context-responsive model for addressing FI in pediatric healthcare.
- Findings will guide sustainable strategies to connect families with nutrition support and improve child health outcomes.
- The research integrates PRISM and RE-AIM within an iterative ROIO design for robust evaluation.
Keywords:
Food insecurityNutrition insecurityPRISMPediatricsRE-AIMRoll-Out Implementation and Optimization (ROIO) trial
