Effectiveness of Using Interactive Consulting System to Enhance Decision Aids of COVID-19 Vaccination

Sun Yat-sen University

Status: Enrolling

Conditions: COVID-19

Treatments: Device: Chatbot

Study type: Interventional

Funder types: Other

Identifiers

NCT05087173

2021KYPJ182

Details and patient eligibility

About

To evaluate the performance of an interactive chatbot and assess its effectiveness for enhancing informed decisions made by cataract patients.

Enrollment: 1,200 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Individuals aged over 18 years who have been resident in the selected study district for more than six months;
• Willing to participate the study and provide informed consent.

Exclusion criteria

• Having ocular, hearing or mental disorders precluding reading or telephone interview.

Trial design

Primary purpose: Health Services Research

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

---

1,200 participants in 1 patient group

Interactive Q&A chatbot

Experimental group

Description:

A chatbot of patient decision aid embedded into a mobile application which is able to bidirectionally interact with patients and provide standard general information, quantitative risk information on the possible outcomes of COVID-19 vaccination.

Treatment:

Device: Chatbot