Start4All - Start Taking Action for TB Diagnosis (DARE-TB)
S4A-DARE-TB
Start 4 All - DARE-TB
1 other identifier
interventional
60,000
0 countries
N/A
Brief Summary
DARE-TB has been designed to address critical evidence gaps on the diagnostic performance and operational value of near point-of-care (NPOC) nucleic acid amplification tests (NAATs) within community-based case finding (CBCF) strategies. Although World Health Organization (WHO) recommends wider access to molecular testing, its use remains concentrated in facility-based settings well short of the global targets and largely dependent on sputum production. This creates a substantial diagnostic gap for people reached through community screening who either cannot provide sputum or whose sputum specimens cannot be tested on a NAAT at a facility, particularly for marginalized, hard-to-reach populations with poor access to healthcare.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Mar 2026
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 26, 2025
CompletedFirst Posted
Study publicly available on registry
February 19, 2026
CompletedStudy Start
First participant enrolled
March 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
October 1, 2027
February 19, 2026
November 1, 2025
1 year
November 26, 2025
February 11, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Primary Endpoint: Diagnostic accuracy (sensitivity, specificity, PPV, NPV) of NPOC assays (tongue swab and sputum swab) compared against the microbiological reference standard (MRS: sputum culture).
WHO: All participants with interpretable NPOC results WHAT: Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of NPOC oral and sputum swabs WHEN: Calculated after completion of reference standard testing (culture) WHERE: Central data analysis and across Bangladesh, Cameroon, and Nigeria WHY: To provide robust evidence of NPOC performance against the microbiological reference standard in CBCF settings HOW MEASURED: * Reference standard = culture * Accuracy estimates presented with 95% confidence intervals * Pre-specified handling of invalid/error results * Disaggregated by sample type (tongue vs sputum swab)
The overall duration of the DARE-TB Study is expected to be 12 months, beginning in Q2 2026 and concluding in Q2 2027. Recruitment, diagnostic testing, and follow-up will all occur between Q2 2026 and Q1 2027
Secondary Outcomes (9)
Secondary Endpoint 1: Diagnostic Yield among Non-Sputum Producers and people with difficulty to produce sputum
The overall duration of the DARE-TB Study is expected to be 12 months, beginning in Q2 2026 and concluding in Q2 2027. Recruitment, diagnostic testing, and follow-up will all occur between Q2 2026 and Q1 2027
Secondary Endpoint 2: cost and cost-effectiveness of NPOC diagnostics in community-based case-finding (CBCF) setting and diagnostic algorithms among adults (15 years and above) and young adolescents (10-14 years)
The overall duration of the DARE-TB Study is expected to be 12 months, beginning in Q2 2026 and concluding in Q2 2027. Recruitment, diagnostic testing, and follow-up will all occur between Q2 2026 and Q1 2027
Secondary Endpoint 3.1: Feasibility & acceptability of NPOC from the perspective of people reached through CBCF and from the health system.
The overall duration of the DARE-TB Study is expected to be 12 months, beginning in Q2 2026 and concluding in Q2 2027. Recruitment, diagnostic testing, and follow-up will all occur between Q2 2026 and Q1 2027
Secondary Endpoint 3.1: Feasibility & acceptability of NPOC from the perspective of people reached through CBCF and from the health system.
The overall duration of the DARE-TB Study is expected to be 12 months, beginning in Q2 2026 and concluding in Q2 2027. Recruitment, diagnostic testing, and follow-up will all occur between Q2 2026 and Q1 2027
Secondary Endpoint 3.2: Feasibility & acceptability of NPOC from the perspective of people reached through CBCF and from the health system.
The overall duration of the DARE-TB Study is expected to be 12 months, beginning in Q2 2026 and concluding in Q2 2027. Recruitment, diagnostic testing, and follow-up will all occur between Q2 2026 and Q1 2027
- +4 more secondary outcomes
Study Arms (1)
Diagnostic
OTHERDiagnostic
Interventions
* Near point of care instrument that can test tongue swabs and sputum swabs\[6\]. * Rapid molecular detection system for detecting infectious diseases included TB, able to provide accurate test results that are comparable to top laboratory PCR tests, while it is easier to sue and move around and only takes 15 to 35 minutes to conclude the result. * Sample: Tongue swab or sputum swab (when sputum can be produced). * Processed directly on the near point-of-care device. * Results will be automatically generated by the device and recorded in the case report form (CRF).
* Semi-quantitative, nested real-time polymerase chain reaction (PCR) diagnostic test for the detection of Mycobacterium tuberculosis (MTB) complex DNA in unprocessed sputum samples\[9, 10\]. It can also detect rifampicin-resistance associated mutations in MTB. Results are automatically displayed on the screen of the system in less than 80 minutes. * Sample: Performed on sputum specimens where sputum can be produced. * Results are available within 1-2 days depending on site capacity. Reported back to participants at the Day 2 visit (individual test result)
Platform available at the health facility will be used to perform pooled testing (4, 8, 16 or 32 modules). Sample/Procedure: Pooled testing involves combining equal volumes from multiple individuals' samples and testing them together using a single test\[10\]. Pools will be created using remaining samples from 2-4 participants who have screened positive and were able to produce a sputum, guided by CAD CXR-AI thresholds\[11\]. To the possible extend, pools will be suggested by CAD band score: 0.3 ≤ CAD \< 0.8 pooled together. No pooled testing is required with CAD ≥ 0.8.
Computer-aided detection (CAD) software for chest X-rays is designed to support rapid, automated screening for tuberculosis and other thoracic abnormalities. Operating on mobile or computer platforms, these tools can analyse chest X-rays in less than a minute, distinguishing normal from abnormal scans and highlighting findings in the lungs, pleura, mediastinum, bones, diaphragm, and heart. In addition to detecting disease, some systems can assist clinicians with tasks such as verifying device placement and measuring distances from anatomical landmarks.
The Mycobacterial Culture (solid or liquid, depending on country platform availability) is the gold-standard diagnostic test for tuberculosis. Culture detects viable Mycobacterium tuberculosis (MTB) organisms by growing them on selective media, allowing for confirmation of disease and, where relevant, downstream drug susceptibility testing (DST). Sample: Performed on sputum specimens where sputum can be produced. Turnaround time: Results are typically available within 2-8 weeks depending on the culture method (solid vs liquid) and laboratory capacity.
Sputum smear microscopy (Ziehl-Neelsen or fluorescent staining, depending on laboratory platform availability) is a conventional diagnostic method that detects Mycobacterium tuberculosis (MTB) through visualisation of acid-fast bacilli (AFB) under a microscope. While widely used, its sensitivity is limited, particularly in individuals with paucibacillary disease or those unable to produce quality sputum. Sample: Performed on sputum specimens where sputum can be produced. Turnaround time: As microscopy will be performed at referral laboratories (where culture is also conducted), results are typically available within several days to 1-2 weeks, depending on sample transport and laboratory processing schedules. Results are reported semi-quantitatively (Negative, Scanty, 1+, 2+, 3+) following WHO and national TB programme grading standards.
Eligibility Criteria
You may qualify if:
- Age:
- Adults aged 15 years and above
- Young adolescents aged 10-14 years
- Community setting:
- o Rural and urban poor, elderly, marginalized groups, internally displaced persons (IDP) in camps and host communities, nomadic communities, and contacts of people with TB who attend community-based case finding (CBCF) campaigns.
- Screening eligibility:
- Screen positive on CAD CXR-AI (CAD score threshold ≥ 0.3).
- Consent:
- Written informed consent (and assent for adolescents if recruited) must be obtained according to local ethics and regulatory requirements.
You may not qualify if:
- Age o Below 10 years at enrolment
- Screening eligibility
- o Do not screen positive with CAD CXR-AI (CAD score threshold \<0.3).
- Consent and follow-up
- o Unable or unwilling to provide written informed consent (and assent where applicable) or unwilling to agree to follow-up visits.
- Current TB treatment
- o Receiving anti-TB treatment at the time of enrolment, defined as having taken ≥3 doses of TB treatment.
- Recent TB preventive therapy
- o Receipt of TB preventive therapy within the last 6 months prior to enrolment.
- Clinical danger signs
- o Presence of severe illness at screening, including but not limited to:
- ▪ Respiratory rate \>30/min St
- Fever \>39°C
- Pulse rate \>120/min
- Inability to walk unaided
- +1 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (18)
Azam K, Cadir N, Madeira C, Gillespie SH, Sabiiti W. OMNIgene.SPUTUM suppresses contaminants while maintaining Mycobacterium tuberculosis viability and obviates cold-chain transport. ERJ Open Res. 2018 Feb 16;4(1):00074-2017. doi: 10.1183/23120541.00074-2017. eCollection 2018 Jan.
PMID: 29479537BACKGROUNDBossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, Lijmer JG, Moher D, Rennie D, de Vet HC, Kressel HY, Rifai N, Golub RM, Altman DG, Hooft L, Korevaar DA, Cohen JF; STARD Group. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015 Oct 28;351:h5527. doi: 10.1136/bmj.h5527.
PMID: 26511519BACKGROUNDSekhon M, Cartwright M, Francis JJ. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res. 2017 Jan 26;17(1):88. doi: 10.1186/s12913-017-2031-8.
PMID: 28126032BACKGROUNDFrench SD, Green SE, O'Connor DA, McKenzie JE, Francis JJ, Michie S, Buchbinder R, Schattner P, Spike N, Grimshaw JM. Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the Theoretical Domains Framework. Implement Sci. 2012 Apr 24;7:38. doi: 10.1186/1748-5908-7-38.
PMID: 22531013BACKGROUNDBarker PM, Reid A, Schall MW. A framework for scaling up health interventions: lessons from large-scale improvement initiatives in Africa. Implement Sci. 2016 Jan 29;11:12. doi: 10.1186/s13012-016-0374-x.
PMID: 26821910BACKGROUNDKlaic M, Kapp S, Hudson P, Chapman W, Denehy L, Story D, Francis JJ. Implementability of healthcare interventions: an overview of reviews and development of a conceptual framework. Implement Sci. 2022 Jan 27;17(1):10. doi: 10.1186/s13012-021-01171-7.
PMID: 35086538BACKGROUNDHarris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30.
PMID: 18929686BACKGROUNDDatta S, Shah L, Gilman RH, Evans CA. Comparison of sputum collection methods for tuberculosis diagnosis: a systematic review and pairwise and network meta-analysis. Lancet Glob Health. 2017 Aug;5(8):e760-e771. doi: 10.1016/S2214-109X(17)30201-2. Epub 2017 Jun 15.
PMID: 28625793BACKGROUNDCodlin AJ, Vo LNQ, Garg T, Banu S, Ahmed S, John S, Abdulkarim S, Muyoyeta M, Sanjase N, Wingfield T, Iem V, Squire B, Creswell J. Expanding molecular diagnostic coverage for tuberculosis by combining computer-aided chest radiography and sputum specimen pooling: a modeling study from four high-burden countries. BMC Glob Public Health. 2024;2(1):52. doi: 10.1186/s44263-024-00081-2. Epub 2024 Aug 1.
PMID: 39100507BACKGROUNDIem V, Byrne RL, Garg T, Santos V, Yassin MA, Kathure I, Donkeng Donfack VF, Vuchas C, Bilder CR, Creswell J, Squire SB, Wingfield T. Pooled testing for TB: revisiting a cost-saving innovation. Lancet Respir Med. 2025 Nov;13(11):958-961. doi: 10.1016/S2213-2600(25)00328-5. Epub 2025 Sep 25. No abstract available.
PMID: 41016409BACKGROUNDKohli M, Inbaraj LR, Salomon A, Scandrett K, Korobitsyn A, Ismail N, Srinivasalu VA, Daniel J, Steingart KR, Takwoingi Y. Low-complexity automated nucleic acid amplification tests for extrapulmonary tuberculosis and rifampicin resistance in adults and adolescents. Cochrane Database Syst Rev. 2025 Aug 4;8(8):CD012768. doi: 10.1002/14651858.CD012768.pub4.
PMID: 40757508BACKGROUNDWHO consolidated guidelines on tuberculosis: Module 2: screening - systematic screening for tuberculosis disease [Internet]. Geneva: World Health Organization; 2021. No abstract available. Available from http://www.ncbi.nlm.nih.gov/books/NBK569338/
PMID: 33822560BACKGROUNDQin ZZ, Naheyan T, Ruhwald M, Denkinger CM, Gelaw S, Nash M, Creswell J, Kik SV. A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers. Tuberculosis (Edinb). 2021 Mar;127:102049. doi: 10.1016/j.tube.2020.102049. Epub 2021 Jan 4.
PMID: 33440315BACKGROUNDSteadman A, Kumar KM, Asege L, Kato-Maeda M, Mukwatamundu J, Shah K, Trang T, Ball A, Khimani K, Kim Dung DT, Michael JS, Christopher DJ, Phan H, Yerlikaya S, Nahid P, Denkinger CM, Cattamanchi A, Andama A. Diagnostic accuracy of swab-based molecular tests for tuberculosis using near-point-of-care platforms: a multi-country evaluation. EBioMedicine. 2025 Nov;121:105991. doi: 10.1016/j.ebiom.2025.105991. Epub 2025 Oct 31.
PMID: 41175672BACKGROUNDTheron G, Zijenah L, Chanda D, Clowes P, Rachow A, Lesosky M, Bara W, Mungofa S, Pai M, Hoelscher M, Dowdy D, Pym A, Mwaba P, Mason P, Peter J, Dheda K; TB-NEAT team. Feasibility, accuracy, and clinical effect of point-of-care Xpert MTB/RIF testing for tuberculosis in primary-care settings in Africa: a multicentre, randomised, controlled trial. Lancet. 2014 Feb 1;383(9915):424-35. doi: 10.1016/S0140-6736(13)62073-5. Epub 2013 Oct 28.
PMID: 24176144BACKGROUNDMacPherson P, Shanaube K, Phiri MD, Rickman HM, Horton KC, Feasey HRA, Corbett EL, Burke RM, Rangaka MX. Community-based active-case finding for tuberculosis: navigating a complex minefield. BMC Glob Public Health. 2024 Feb 8;2(1):9. doi: 10.1186/s44263-024-00042-9.
PMID: 39681899BACKGROUNDGupta-Wright A, Denkinger CM. Advances in TB diagnostics: A critical element for the elimination toolkit. Indian J Med Res. 2024 May;159(5):391-394. doi: 10.25259/IJMR_261_2024. No abstract available.
PMID: 39382418BACKGROUNDAndrews JR, Kendall EA, Cattamanchi A, Denkinger CM, Nahid P, Shrestha S, Marx FM, Dowdy D, Hermans S, Cobelens F. Projecting the Impact and Costs of Near Point-of-Care Tuberculosis Screening Assays in Community-based Active Case Finding. Clin Infect Dis. 2025 Nov 6;81(4):776-784. doi: 10.1093/cid/ciaf395.
PMID: 40674508BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 26, 2025
First Posted
February 19, 2026
Study Start
March 1, 2026
Primary Completion (Estimated)
March 1, 2027
Study Completion (Estimated)
October 1, 2027
Last Updated
February 19, 2026
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR
- Time Frame
- IPD will be available for a maximum of 5 years after study close
- Access Criteria
- All requests for access to the IPD will be assessed by the Sponsor and must be agreed by all Data Controller organisations.
At the end of the study, after the primary results have been published, the individual participant data (IPD) and associated documentation (e.g. protocol, statistical analysis plan, annotated blank CRF) will be prepared in order to be shared with external researchers. IPD will only be shared with external researchers if the participants have consented to this onward disclosure, IPD has been fully anonymised prior to sharing