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A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System
Meghan Reading Turchioe1, Sabrina Mangal2,3, Parag Goyal3
1Columbia University School of Nursing, New York, New York, United States.
A scalable electronic patient-reported outcomes (ePRO) system showed potential for diverse patient engagement in health research. Despite challenges, disease-agnostic ePROs can improve health system inclusivity.
Area of Science:
- Health Informatics
- Patient-Reported Outcomes
- Gerontology
Background:
- Healthcare systems often use proprietary tools for remote patient-reported outcomes (PROs) collection.
- Existing tools are frequently institution- and disease-specific, limiting broader application.
- There is a need for scalable, disease-agnostic systems for PRO collection.
Purpose of the Study:
- To evaluate a scalable electronic PRO (ePRO) system using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework.
- To assess the usability and adoption of the 'mi.symptoms' ePRO system, designed with gerontechnology principles.
- To identify factors influencing the implementation and maintenance of the ePRO system in a diverse population.
Main Methods:
- A single-arm study evaluated the 'mi.symptoms' ePRO system.
- The RE-AIM framework guided the evaluation of reach, effectiveness, adoption, implementation, and maintenance.
- Quantitative data were analyzed using descriptive statistics, and qualitative data used directed content analysis.
Main Results:
- The study reached 70 participants (median age 69, diverse demographics).
- Effectiveness showed 51% completion at 2 weeks and 36% overall.
- Adoption was driven by self-knowledge and perceived value; implementation depended on computer access and routine integration; maintenance was reinforced by perceived usefulness.
Conclusions:
- Sustained patient engagement in ePRO reporting remains a challenge.
- Freely available, scalable, disease-agnostic ePRO systems can enhance inclusivity in health data collection.
- The 'mi.symptoms' system demonstrates potential for wider adoption across diverse health systems and patient groups.
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