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Effectiveness of an Interactive Consulting System to Enhance Patients' Decision-making: A Randomized Controlled Trial

Age-related Cataract Clinical Trial

Official title:
Effectiveness of an Interactive Consulting System to Enhance Patients' Decision-making: A Randomized Controlled Trial

Clinical Trial Summary

To compare the effectiveness of an interactive mobile chatbot and traditional decision aid booklets to enhance informed decisions made by cataract patients. The chatbot was built based on large language models, and could generate ChatGPT-level responses.

Clinical Trial Description

Cataract surgery is the only way to treat age-related cataract. For patients at early or moderate stages, cataract surgery is an elective surgery without objective indications. Therefore, patients are uaually not aware whether they should receive the surgery or not. In clinical practice, traditional Patient Decision Aids (PDA) booklets are used to provide health education to patients. However, PDAs lack real-time interaction with patients, and are unable to answer the new questions raised. Patients still have doubts about whether they should receive cataract surgery or not. In this study, the investigators aim to assess the effectiveness of an interactive Q&A mobile application based on natural language processing technology to enhance informed decisions made by cataract patients. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04262596
Study type Interventional
Source Sun Yat-sen University
Contact
Status Completed
Phase N/A
Start date May 1, 2023
Completion date August 31, 2023
View Details
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