Effectiveness of Using Interactive Consulting System to Enhance Decision Aids of COVID-19 Vaccination
Not Applicable
Recruiting
- Conditions
- COVID-19
- Interventions
- Device: Chatbot
- Registration Number
- NCT05087173
- Lead Sponsor
- Sun Yat-sen University
- Brief Summary
To evaluate the performance of an interactive chatbot and assess its effectiveness for enhancing informed decisions made by cataract patients.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 1200
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.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Interactive Q&A chatbot Chatbot 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.
- Primary Outcome Measures
Name Time Method Informed choice about COVID-19 vaccination (the proportion of participants who make an informed choice，which is defined as a good knowledge score and an intention that is consistent with their attitude score) 2 weeks post intervention Informed choice is an aggregated measure of multiple measurements, including knowledge (a 10-item questionnaire that assesses knowledge), attitudes (6 items, with 5 responses for each), and intentions (single item with 5 responses)
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Yingfeng Zheng, MD, PhD
🇨🇳Guangzhou, Guangdong, China