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NCT06017843: SPOT-TB

Impact Evaluation of Use of MATCH AI Predictive Modelling for Identification of Hotspots for TB Active Case Finding

Recruiting now NA Last updated 25 July 2024
What this trial tests

NA trial testing Camps site selection for active case finding for TB using MATCH-AI in Tuberculosis in 180,000 participants. Currently enrolling.

Timeline
1 September 2023
Primary endpoint
31 October 2024
30 June 2025

Quick facts

Lead sponsorCentre for Global Public Health Pakistan
PhaseNA
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationrandomized
Designcrossover
Maskingsingle
Primary purposehealth services research
Enrollment180,000
Start date1 September 2023
Primary completion31 October 2024
Estimated completion30 June 2025
Sites1 location across Pakistan

Drugs / interventions tested

Conditions studied

Sponsor

Centre for Global Public Health Pakistan

Who can join

15 and older, any sex, with Tuberculosis. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

2 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Geographical targeting of active case finding for tuberculosis in Pakistan using hotspots identified by artificial intelligence software (SPOT-TB): study protocol for a pragmatic stepped wedge cluster randomised control trial.
    Zaidi SMA, Mahfooz A, Latif A, Nawaz N, et al · · 2024 · cited 4× · PMID 38991950 · DOI 10.1136/bmjresp-2023-002079
  2. Geographical targeting of active case finding for tuberculosis in Pakistan using artificial intelligence software (SPOT-TB): a pragmatic stepped wedge cluster randomized control trial
    Mahfooz A, Latif A, Asad Zaidi SM, Ahmed W, et al · · 2026 · DOI 10.64898/2026.05.20.26348577

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