Condition: Tuberculosis (TB) · Sponsor: University of Toronto
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.
This description comes directly from the study's public registry record.
Dabin Liang, PhD · +86 771 251 8743 · gxmu958@163.com
Xiaoyan Liang · +86 183 7717 1573 · lxy530028@163.com
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| Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention | Nanning, Guangxi, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06702774