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Published on: February 19, 2021
Designing an Electronic Patient Reported Outcomes Information Infrastructure Supported by the RE-AIM Implementation
Amy C Moreno1, Angela Peek2, Toshiko S Stein2
1Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
This study developed an electronic patient-reported outcomes (ePROs) system integrated with electronic health records (EHRs) using RE-AIM principles. The system achieved high compliance, enhancing clinical decision-making and patient care.
Area of Science:
- Health Informatics
- Clinical Research
- Patient-Centered Care
Background:
- Patient-reported outcomes (PROs) offer vital data for interventions and quality of life improvements.
- Implementing electronic PROs (ePROs) faces technical, behavioral, and evaluation hurdles.
- A structured framework is needed for effective EHR-integrated ePRO systems.
Purpose of the Study:
- To construct a robust electronic health record (EHR)-integrated ePRO information infrastructure.
- To found the infrastructure on RE-AIM (Reach-Effectiveness-Adoption-Implementation-Maintenance) principles.
- To optimize for clinical utility and implementation evaluation.
Main Methods:
- Utilized Epic Systems EHR platform to develop the MD Anderson Symptom Index-Head and Neck Module (MDASI-HN).
- Established RE-AIM metrics to design patient, provider, and facilitator information tools.
- Implemented a dynamic clinical implementation-evaluation cycle for continuous adaptation.
Main Results:
- Collected 13,156 patient-submitted ePROs from 3,497 unique Head and Neck patients (Jan 2021-Jul 2024).
- Achieved an 82% 12-month sustained ePRO compliance rate.
- Demonstrated formative evaluation's essential role in optimizing compliance and data usage.
Conclusions:
- Developed a comprehensive, EHR-based ePRO information infrastructure using RE-AIM principles.
- The framework offers integrated clinical data for enhanced decision-making and potential scalability.
- Formative evaluation is crucial for optimizing ePRO systems for clinical utility and implementation.
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