Actively Recruiting
Impact Evaluation of Use of MATCH AI Predictive Modelling for Identification of Hotspots for TB Active Case Finding
Led by Centre for Global Public Health Pakistan · Updated on 2024-07-25
180000
Participants Needed
1
Research Sites
95 weeks
Total Duration
On this page
Sponsors
C
Centre for Global Public Health Pakistan
Lead Sponsor
M
Mercy Corps Pakistan
Collaborating Sponsor
AI-Summary
What this Trial Is About
The aim of this pragmatic, stepped wedge cluster-randomized trial is to measure the comparative yield (number of incident TB cases diagnosed during active case-finding camps) using a site selection approach based on predictions generated via an artificial intelligence software called MATCH-AI (intervention group) versus the conventional approach of camp site selection using field-staff knowledge and experience (control group). The trial will help inform whether a targeted approach towards screening for TB using artificial-intelligence can improve yields of TB cases detected through community-based active case-finding.
CONDITIONS
Official Title
Impact Evaluation of Use of MATCH AI Predictive Modelling for Identification of Hotspots for TB Active Case Finding
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Individuals aged over 15 years attending camp sites
- Individuals with a previous history of tuberculosis (TB)
You will not qualify if you...
- Children and adolescents under 15 years of age
- Pregnant women
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Mercy Corps Pakistan
Islamabad, Pakistan
Actively Recruiting
Research Team
A
Amna Mahfooz, MS(PH)
CONTACT
F
Faheem Baig
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
CROSSOVER
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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