According to the first-of-its-kind study by the Indian Council of Medical Research (ICMR) under the i-DRONE initiative, using unmanned aerial vehicles to transport sputum samples from remote villages to tuberculosis (TB) testing centers can reduce diagnosis times by nearly two-thirds while minimizing patient travel expenses.
Study Results in Telangana
The study, conducted in the Yadadri-Bhuvanagiri district of Telangana state, demonstrated a significant improvement in indicators. The median time to receive TB diagnostic results decreased from 15 days to just five days after drones replaced traditional ground transport for sample delivery. On average, the diagnostic time reduced from 16.6 days to 6.9 days.
Financial and Logistical Benefit
Furthermore, average out-of-pocket expenses for patients dropped from 9451 rupees to 91 rupees, representing a reduction of almost 99%. This study, published in the peer-reviewed journal IJTLD Open, assessed sample transportation using drones in real-world program conditions in collaboration with the National Tuberculosis Elimination Programme (NTEP).
Mechanism and Coverage
Researchers from AIIMS Bibinagar, the ICMR's i-DRONE initiative, and AIIMS Bhubaneswar conducted this study. It became the first long-term program-based evaluation in India on the impact of drone logistics on TB diagnosis. The intervention covered 11 primary health centers, 60 sub-centers, and four TB units linked through a 'hub and spoke' network coordinated from AIIMS Bibinagar.
Patients could now submit sputum samples at the nearest medical facility instead of traveling 10–30 km to diagnostic centers. From there, drones delivered the samples to laboratories equipped with CBNAAT and Truenat machines.
Impact on Reporting and Accessibility
The study involved 840 people: 206 during the traditional transport phase and 634 after the drones began operating. In addition to reducing diagnostic delays, there was a sharp increase in the reporting of TB test results the next day—from 1.5% to 76.3%. The percentage of patients waiting more than two days for results decreased from 92.2% to 16.3%.
Patients cited poor transport accessibility, travel difficulties, loss of income, and stigma associated with frequent visits to medical facilities as main reasons for diagnostic delays. Researchers noted that shifting sample transportation instead of moving patients significantly reduced both financial and logistical barriers.
Conclusion and Prospects
The conclusion stated that integrating drones into the National Tuberculosis Elimination Programme can improve access to rapid diagnosis in rural, mountainous, and hard-to-reach areas, bringing India closer to the goal of eradicating tuberculosis. The authors acknowledged that the study was conducted only in one district, and long-term outcomes such as treatment adherence still require assessment; however, they emphasized that the data obtained proves the operational feasibility of drone-based logistics and its ability to strengthen equitable access to TB treatment.