Using AI to find hotspots for tuberculosis case detection
Impact Evaluation of Use of MATCH AI Predictive Modelling for Identification of Hotspots for TB Active Case Finding in Pakistan: a Pragmatic Stepped Wedge Cluster Randomized Trial
NA · Centre for Global Public Health Pakistan · NCT06017843
This study is testing whether using artificial intelligence can help find more cases of tuberculosis in communities compared to traditional methods.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 180000 (estimated) |
| Ages | 15 Years and up |
| Sex | All |
| Sponsor | Centre for Global Public Health Pakistan (other) |
| Locations | 1 site (Islamabad) |
| Trial ID | NCT06017843 on ClinicalTrials.gov |
What this trial studies
This pragmatic trial evaluates the effectiveness of an artificial intelligence software called MATCH-AI in identifying high-prevalence areas for tuberculosis (TB) active case finding compared to traditional methods. Participants over 15 years old will be screened at community-based camps, with the intervention group using AI predictions for site selection while the control group relies on field staff expertise. The study aims to determine if AI can enhance the number of TB cases diagnosed during these camps, addressing the significant TB burden in Pakistan.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals over 15 years old who are presenting to the camp sites, including those with a previous history of TB.
Not a fit: Patients who are under 15 years old or pregnant women will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly increase the detection of tuberculosis cases, leading to better treatment outcomes and reduced transmission.
How similar studies have performed: Other studies have shown promise in using targeted approaches for TB detection, but the specific application of AI in this context is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * All individuals \>15 years of age presenting to camp sites * Individuals with previous history of TB disease Exclusion Criteria: * Children and adolescents \<15 years of age * Pregnant women
Where this trial is running
Islamabad
- Mercy Corps Pakistan — Islamabad, Pakistan (RECRUITING)
Study contacts
- Principal investigator: Faran Emmanuel — Centre for Global Public Health Pakistan
- Study coordinator: Amna Mahfooz, MS(PH)
- Email: amna.mahfooz@cgph.org.pk
- Phone: +923438101441
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Tuberculosis, Active case finding, Artificial Intelligence, Hotspots