DETECT-RPC

Multi-site randomized controlled trial evaluating DETECT-RPC, a revised elder mistreatment screening tool for primary care. Engaged with protocol and IRB development, EMR ETL planning, REDCap survey design, clinician training, and dashboard engineering. Coordinated across seven institutions.

Project Summary

DETECT-RPC is a multi-site randomized controlled trial (RCT) evaluating a revised version of the DETECT elder mistreatment screening tool, adapted for use in primary care settings. The study spans seven home-based primary care programs across the U.S., with data collection ongoing. It includes both the RCT and qualitative follow-up interviews with patients, caregivers, and clinicians.

• Tool: DETECT-RPC screening instrument
  
• Institution: UTHealth School of Public Health (Dallas Campus)
  
• PI: Dr. M. Brad Cannell
  
• Partners: Baylor College of Medicine, Johns Hopkins, UCSF, UAB, UTSW, UTHealth Houston (LBJ & UTP)
  
• Study Registration: ClinicalTrials.gov NCT05958654
  
• Project Involvement: Feb 2022 – Aug 2025
  
• Status: Active; data collection ongoing

Tech Stack & Infrastructure

This project required cross-platform coordination, secure data handling, and scalable tooling across clinical and research environments.

Platforms & Systems

• REDCap — survey instrument design and deployment
  
• CANVAS — clinician training modules
  
• GitHub — collaborative code development
  
• OneDrive — secure PHI-compliant data storage
  
• CERNER & EPIC — EMR systems for ETL planning
  
• Quarto, Microsoft Word, Visio, Canva — reporting, documentation, and visual design

My Contributions

Protocol & IRB Development

• Co-authored IRB protocols and informed consent documents
  
• Drafted internal SOPs and statistical analysis plans
  
• Drafted selection screening instruments and study methods

Data Infrastructure & ETL Planning

• Assisted with design of ETL pipeline for EMR data from CERNER and EPIC systems
  
• Coordinated data governance and PHI compliance across sites

Recruitment & Tracking Systems

• Assisted with build of in-house dashboards for recruitment and subject tracking
  
• Designed REDCap survey instruments for caregivers, patients, and clinicians
  
• Assisted with creation of recruitment materials and clinician training content (CANVAS)

Team Coordination & Mentorship

• Interfaced with Co-Investigators across seven institutions
  
• Supported junior team members in dashboard development, IRB and compliance documentation, and survey design

Reflections

This project represents a full-spectrum research experience—from protocol design to infrastructure planning and stakeholder coordination. I helped architect the data pipeline, design recruitment and survey tools, and build reproducible workflows across multiple institutions. DETECT-RPC is a model for how public health research can scale across clinical systems while maintaining rigor, privacy, and clarity.