Actively Recruiting
Clinic Versus Hotspot Active Case Finding and Linkage to Preventive Therapy (ACF/TPT) Strategy Evaluation for TB: A Cluster-Randomized Crossover Trial
Led by Johns Hopkins University · Updated on 2026-06-01
150000
Participants Needed
1
Research Sites
13 weeks
Total Duration
On this page
Sponsors
J
Johns Hopkins University
Lead Sponsor
N
National Heart, Lung, and Blood Institute (NHLBI)
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are evaluating two strategies for active tuberculosis (TB) case finding and linkage to TB treatment or preventive therapy in peri-urban Uganda. This five-year study compares a facility-based approach, which recruits individuals attending a large public health facility regardless of TB symptoms, to a hotspot-based approach, which targets geographic areas identified as having a high burden of undiagnosed TB. The study aims to determine which strategy results in more TB patients being diagnosed and started on treatment or preventive therapy. The study uses a cluster-randomized, multiple-period crossover design to compare these two interventions. Both strategies use the same infrastructure, including personnel, equipment, and supplies, for TB screening by mobile chest X-ray with artificial intelligence-based reading followed by confirmatory sputum testing for those with abnormal X-rays. Those who test negative for TB but are eligible may be linked to TB preventive therapy, currently limited to people with close TB contact or known HIV infection. The hotspot-based intervention places this infrastructure in high TB burden zones for four months at a time, while the facility-based intervention operates on the grounds of a health facility. Participants aged 5 years and older, including children 5-14 years old who are close contacts of TB patients, may take part after providing consent or assent with parental consent when appropriate. Participants will undergo TB screening, confirmatory testing, and linkage to treatment or preventive therapy as needed. The study will measure the number of TB cases diagnosed and linked to care, preventive therapy initiations, and compare these outcomes between the two strategies and against regions with no intervention. Follow-up and data collection occur during and shortly after each four-month intervention period. The total duration of participation varies depending on cluster assignment and crossover timing.
CONDITIONS
Brief Title
Clinic-based Versus Hotspot-focused Active TB Case Finding
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 15 years or older, OR age 5-14 years with close contact of someone diagnosed with TB
- Oral informed consent provided, or if under 18 years, oral informed assent (ages 8-17) plus parental informed consent (ages 5-17)
- Ability to communicate in English or Luganda, or having a capable interpreter acceptable to the participant
You will not qualify if you...
- Currently on treatment for active TB
- Diagnosed with active TB but not yet treated
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person) involving TB screening by mobile chest X-ray with artificial intelligence-based reading, followed by confirmatory sputum testing if needed
Duration - Four-month intervention periods repeated over 48 months with intervening washout periods
Participants in selected community hotspots or health facilities are actively screened for TB and linked to preventive therapy if eligible during the intervention periods.
Visits during six 4-month intervention periods, including mobile chest X-ray screening and sputum testing as needed
Trial Site Locations
Total: 1 location
1
Walimu
Kampala, Uganda
Actively Recruiting
Research Team
E
Emily A Kendall, MD PhD
D
David W Dowdy, MD PhD
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
CROSSOVER
Primary Purpose
SCREENING
Number of Arms
3
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