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.

Insights

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.
Abstract

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