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Training on the Use of Technology to Collect Patient-Reported Outcome Data Electronically in Clinical Trials: Best
Jenny J Ly1, Mabel Crescioni2, Sonya Eremenco2
11 eResearchTechnology Inc, Philadelphia, PA, USA.
Effective training for electronic patient-reported outcome (ePRO) systems is crucial for clinical trials. This paper outlines best practices for training site staff and participants to ensure accurate and complete data collection using ePRO technology.
Area of Science:
- Clinical Trials
- Health Informatics
- Data Management
Background:
- Electronic patient-reported outcome (ePRO) data capture offers significant advantages over traditional paper-based methods in clinical trials.
- Regulatory agencies endorse ePRO systems and emphasize the need for comprehensive training for both participants and site staff.
Purpose of the Study:
- To establish best practice recommendations for training end-users on ePRO technology in clinical trials.
- To ensure consistent, accurate, and complete data collection through optimized training strategies.
Main Methods:
- Training recommendations encompass both study-specific and technology-specific knowledge for site personnel.
- Utilizing a multi-modal training approach over time, including hands-on, remote, and self-paced e-learning.
- Providing participants with initial hands-on training and ongoing access to interactive electronic modules.
Main Results:
- Site staff require training on study protocols, ePRO system usage, and technical support contacts.
- Participants need individualized, hands-on training at trial initiation, supplemented by accessible on-demand electronic modules.
- A structured training framework is essential for maximizing the benefits of ePRO data collection.
Conclusions:
- Implementing structured, multi-modal training for both site staff and study participants is key to successful ePRO adoption.
- Optimized training enhances data quality and leverages the full potential of ePRO systems in clinical research.
- Adherence to best practices in ePRO training ensures reliable and efficient data capture in clinical trials.
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