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In Conakry, Guinea, like many other African capitals, traffic congestion is a major obstacle to transporting blood samples from peripheral health centres to laboratories where tests are centralised. This situation complicates early HIV testing of HIV-exposed children (i.e., born to HIV-positive mothers), even though the World Health Organization recommends treating HIV-positive children before the age of two months to reduce mortality. The use of drones, which has proved effective in many countries for rapidly transporting healthcare products and reaching isolated areas, could help to resolve these difficulties and improve early detection. A pilot study was conducted from 2020-2021 to assess the feasibility, cost-effectiveness and acceptability of such a strategy. The pilot study had an anthropological component and this article presents the results on the acceptability and perception of using drones to optimise the transport of blood samples in Conakry. Interviews and observations were conducted across six health facilities in Conakry and in various national and international institutions, with 62 people: mothers living with HIV, health professionals and community workers, the local population, health authorities and development workers. The theoretical framework is based on the concepts of innovation and acceptability from an anthropological perspective. The analyses focus on perceptions and conditions of acceptance of a technological innovation such as drones in the healthcare sector. The results show that perceptions of drones are generally positive, despite concerns about their potential misuse. However, this consensus is fragile, knowledge on the subject is sometimes limited and public opinion can vary depending on policy changes in the political and health contexts. Future drone programmes will need to be adapted to the priority health needs identified by local stakeholders, to meet the technical and ethical challenges of this emerging technology and to develop appropriate communication to ensure an optimum level of public support.

Background Early infant diagnosis (EID) for HIV-exposed infants is essential due to high mortality during the first months of their lives. In Conakry (Guinea), timely EID is difficult as traffic congestion prevents the rapid transport of blood samples to the central laboratory. We investigated the cost-effectiveness of transporting EID blood samples by unmanned aerial vehicles (UAV), also known as drones.Methods and findings Using Monte Carlo simulations, we conducted a cost-effectiveness comparative analysis between EID blood samples transportation by on-demand UAV transportation versus the baseline scenario (ie, van with irregular collection schedules) and compared with a hypothetic on-demand motorcycle transportation system. Incremental cost-effectiveness ratio (ICER) per life-year gained was computed. Simulation models included parameters such as consultation timing (eg, time of arrival), motorcycle and UAV characteristics, weather and traffic conditions. Over the 5-year period programme, the UAV and motorcycle strategies were able to save a cumulative additional 834.8 life-years (585.1–1084.5) and 794.7 life-years (550.3–1039.0), respectively, compared with the baseline scenario. The ICER per life-year gained found were US$535 for the UAV strategy versus baseline scenario, US$504 for the motorcycle strategy versus baseline scenario and US$1137 per additional life-year gained for the UAV versus motorcycle strategy. Respectively, those ICERs represented 44.8%, 42.2% and 95.2% of the national gross domestic product (GDP) per capita in Guinea—that is, US$1194.Conclusion Compared with the baseline strategy, both transportation of EID blood samples by UAVs or motorcycles had a cost per additional life-year gained below half of the national GDP per capita and could be seen as cost-effective in Conakry. A UAV strategy can save more lives than a motorcycle one although the cost needed per additional life-year gained might need to consider alongside budget impact and feasibility considerations.