Actively Recruiting

Phase Not Applicable
Age: 15Years +
All Genders
Healthy Volunteers
NCT06702774

Research on Key Interventional Technologies for Controlling the Epidemic in High-prevalence Areas of Tuberculosis in Guangxi, China

Led by University of Toronto · Updated on 2024-12-06

72000

Participants Needed

1

Research Sites

179 weeks

Total Duration

On this page

Sponsors

U

University of Toronto

Lead Sponsor

G

Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control

Collaborating Sponsor

AI-Summary

What this Trial Is About

The goal of this study is to find out if using mobile vans with advanced technology can help reduce tuberculosis (TB) in rural Guangxi, China. The study will also examine how practical and cost-effective this approach is. The main questions it aims to answer are: 1) Does this new screening method lower the number of TB cases among high-risk groups? and 2) Is this method practical and acceptable for communities and healthcare workers? Participants in the study will: 1) undergo TB screening with mobile vans that use artificial intelligence (AI) to read chest X-rays, 2) answer a short questionnaire about their symptoms and health history, and 3) provide sputum samples for GeneXpert testing if needed. Some communities will receive the new screening method, while others will continue with usual care. Researchers will compare TB rates in the two groups over three years to see if the new approach works better for TB control. If successful, this method could be used to improve TB control in other areas.

CONDITIONS

Official Title

Research on Key Interventional Technologies for Controlling the Epidemic in High-prevalence Areas of Tuberculosis in Guangxi, China

Who Can Participate

Age: 15Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • All residents aged 65 and above
  • Residents aged 15 to 64 who have been previously treated for TB or have been close contacts of a TB patient diagnosed within the last three years
  • Residents aged 15 to 64 who have been diagnosed with diabetes, are HIV positive, or have worked as miners
  • Signed consent form
Not Eligible

You will not qualify if you...

  • Residents who refuse to participate

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention

Nanning, Guangxi, China, 530000

Actively Recruiting

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Research Team

D

Dabin Liang, PhD

CONTACT

X

Xiaoyan Liang

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

SINGLE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

SCREENING

Number of Arms

2

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