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A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development
Robert D Furberg1, Alexa M Ortiz1, Rebecca R Moultrie2
1Digital Health and Clinical Informatics, RTI International, Research Triangle Park, NC, United States.
A new tablet tool enhances informed consent for individuals with fragile X syndrome, improving decision-making capacity and engagement in clinical research. This digital health resource supports shared decision-making for research participants.
Area of Science:
- Digital Health
- Clinical Trials
- Neurodevelopmental Disorders
Background:
- Challenges exist in clinical and research consent processes, particularly for individuals with limited decisional capacity.
- Tailored interventions are needed to support informed consent and shared decision-making.
- Fragile X syndrome presents unique challenges for research participation and consent.
Purpose of the Study:
- To describe the design and development of a tablet-based decision support tool.
- To enhance shared decision-making and decisional capacity for individuals with fragile X syndrome during informed consent.
- To create a model for developing interactive and accessible digital health resources for research consent.
Main Methods:
- User-centered, feature-driven design approach.
- Environmental scan of mobile apps and interviews with individuals with fragile X syndrome and clinicians.
- Content development using plain-language principles based on a clinical trial consent form.
Main Results:
- Iterative testing and revision of the decision support tool content.
- Finalized tool included vignettes, quiz questions, and a sorting activity.
- A randomized controlled trial compared the tool's efficacy against standard verbal consent.
Conclusions:
- Digital health resources can significantly improve participant understanding and engagement in the research consent process.
- The developed tool and process offer a model for creating accessible decision support resources.
- Leveraging digital health is crucial for optimizing informed consent in clinical research.
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