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FISH for Pre-implantation Genetic Diagnosis
Published on: February 23, 2011
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Chatbot for patient education for prenatal aneuploidy testing: A multicenter randomized controlled trial
Bowdoin Su1, Renee Jones1, Kelly Chen1
1Ariosa Diagnostics, Inc., Roche Diagnostics Solutions, San Jose, CA, USA.
Patient Education and Counseling
|December 6, 2024
Summary
A chatbot significantly improved patient knowledge of prenatal testing options compared to standard care. Both patients and providers reported high satisfaction with the chatbot intervention.
Area of Science:
- Obstetrics and Gynecology
- Digital Health
- Patient Education
Background:
- Increasing options for fetal aneuploidy screening necessitate effective patient education.
- Digital tools offer a scalable solution for delivering prenatal testing information.
Purpose of the Study:
- To evaluate the impact of a chatbot on pre-test education for low-risk pregnancies.
- To assess patient knowledge gain and satisfaction with chatbot-based counseling.
Main Methods:
- Randomized controlled trial at two sites.
- Intervention group used a chatbot for pre-test education; control group received standard provider education.
- Primary outcome: change in patient knowledge scores; analyzed by intention to treat.
Main Results:
- Chatbot group showed significantly higher knowledge gain (mean +4.1 correct answers vs +1.9, p < 0.001).
- High patient satisfaction reported in both groups (8.2 vs 8.5, p = 0.35).
- High provider satisfaction reported in both groups (8.7 vs 8.4, p = 0.13).
Conclusions:
- Chatbot pre-test education enhances patient understanding of prenatal testing choices.
- The intervention is associated with high patient and provider satisfaction.
- Digital tools like chatbots can effectively support obstetric care and informed decision-making.
