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

NCT05087173 | Unknown

• 1 other identifier: 2021KYPJ182
• Study Type: interventional
• Target: 1,200
• Locations: 1 country
• Sites: 1

Brief Summary

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

Conditions

COVID-19

Outcome Measures

Primary Outcomes (1)

• 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)

  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)

  2 weeks post intervention

Study Arms (1)

Interactive Q&A chatbot

EXPERIMENTAL

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.

Device: Chatbot

Interventions

Chatbot DEVICE

An interactive chatbot for patient decision aid 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.

Interactive Q&A chatbot

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

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

Sponsors & Collaborators

• Sun Yat-sen University: lead

Study Sites (1)

Yingfeng Zheng, MD, PhD

Guangzhou, Guangdong, China

RECRUITING

MeSH Terms

Conditions

COVID-19

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor

Study Record Dates

• First Submitted: October 20, 2021
• First Posted: October 21, 2021
• Study Start: October 11, 2021
• Primary Completion: August 31, 2023
• Study Completion: December 31, 2023
• Last Updated: January 18, 2023

Record last verified: 2023-01

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)