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Healthcare workers’ perceptions of decentralised COVID-19 testing using GeneXpert platforms in Tanzania and Burkina Faso: Implications for outbreak management and pandemic preparedness

This qualitative study in Tanzania and Burkina Faso reveals that healthcare workers view decentralizing SARS-CoV-2 testing using existing GeneXpert platforms as a critical strategy for improving diagnostic speed, clinical decision-making, and epidemic preparedness in resource-limited settings.

Original authors: Daniel T. R. Minja, Marc Christian Tahita, Joyce R. Mbwana, Eric F. Lyimo, Anangisye Malabeja, Filbert Francis, Issa Sabi, Bérenger Kaboré, Ouedraogo Kadija, Christopher Delgado-Ratto, Michael Alifran
Published 2026-09-25
📖 5 min read🧠 Deep dive

Original authors: Daniel T. R. Minja, Marc Christian Tahita, Joyce R. Mbwana, Eric F. Lyimo, Anangisye Malabeja, Filbert Francis, Issa Sabi, Bérenger Kaboré, Ouedraogo Kadija, Christopher Delgado-Ratto, Michael Alifrangis, Christian W. Wang, Vivi Maketa, Fernando Gonzalez-Candelas, John P. A. Lusingu, Jean-Pierre Van geertruyden, Samwel Gesase, Vito Baraka, Edwin A. Liheluka

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

When a virus like the one that causes COVID-19 spreads through a community, the speed of knowing who is sick determines how quickly the outbreak can be stopped. In many parts of the world, the standard way to confirm an infection involves sending a sample from a patient's nose or throat to a large, central laboratory far away. This process often takes days because the sample must travel by road, and the laboratory might be overwhelmed with work. While waiting, a sick person might unknowingly spread the virus to others, or a healthy person might be kept in isolation unnecessarily. To solve this, scientists have developed smaller, automated machines that can perform the same complex tests right inside local clinics or district hospitals. These devices, known as point-of-care systems, are designed to give results in less than an hour, bringing the power of advanced diagnosis directly to the patient's bedside. The question for public health officials is not just whether these machines work, but whether the people who use them every day feel they are a practical solution for their specific challenges.

A team of researchers set out to understand how healthcare workers in Tanzania and Burkina Faso viewed the use of these local testing machines during the height of the pandemic. They focused on a specific type of automated device called GeneXpert, which had already been used for years in these countries to test for tuberculosis and HIV. The researchers wanted to know if doctors, nurses, and lab technicians felt that using this existing equipment to test for COVID-19 was a good idea, and how it changed the way they cared for patients. To find out, they spoke with thirty-five health workers across both countries, including clinicians, nurses, and laboratory staff. These conversations took place between May and October 2023, well after the initial shock of the pandemic had passed, allowing the workers to reflect on their actual experiences with the technology.

The health workers interviewed knew the virus well. They could describe how it spreads through coughs and sneezes, what symptoms to look for, and how to protect themselves and others. What stood out in their stories was a strong appreciation for the speed and simplicity of the local testing machines. Unlike the older methods that required sending samples to a distant city, these machines allowed them to collect a sample, place it in a small cartridge, and get a result in thirty to forty-five minutes. The workers noted that the machines were easy to learn, even for those who had not used them before, because the process was largely automatic. One laboratory worker described the process as straightforward: collect the sample, put it in the cartridge, insert it into the machine, and wait for the answer. This speed meant that a patient did not have to wait days to know if they were infected.

This rapid turnaround changed how doctors made decisions. Before the local machines were available, a doctor might have to guess which illness a patient had based on symptoms alone, since a cough or fever could be caused by many different things. With the machine, a doctor could quickly confirm if the patient had COVID-19 or if the illness was caused by something else entirely. This clarity helped them avoid giving unnecessary medicines, such as antibiotics for a viral infection, and allowed them to start the right treatment immediately. For the patients, this meant less uncertainty and a faster path to recovery. The workers also pointed out that the machines were reliable even when electricity was unstable, as they had backup batteries to keep running through power outages.

The impact went beyond individual patients to the broader effort of controlling the virus. Because the results came so quickly, health workers could immediately tell a sick person to stay home and isolate, preventing them from spreading the virus to their family or neighbors. At the same time, if a test showed a person was not infected, they could be released from isolation right away, saving them from unnecessary quarantine and allowing them to return to their work and daily lives. The workers felt that this ability to act fast was crucial for stopping the spread of the disease. They saw the local machines as a way to bring testing closer to the community, reducing the need to rely on distant national laboratories that were often slow and difficult to reach.

The study suggests that using these existing machines for COVID-19 testing was a valuable strategy for these countries. The health workers felt that the technology improved their ability to manage patients and respond to outbreaks. They saw it as a practical way to use the equipment they already had, rather than waiting for new, expensive systems to arrive. By integrating the testing into the local clinics where tuberculosis and HIV were already being managed, they could offer faster care to everyone. The researchers concluded that this approach, which brings advanced testing closer to the people who need it, helps build a stronger foundation for handling future health emergencies. The workers' experiences showed that when the right tools are available at the local level, the entire system becomes more responsive and effective.

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