INTerrupting prolifERation of Carbapenem resistance in Indonesia: clinical and genomic Evaluation of Pathways of Transmission (INTERCEPT) : a Study Protocol
The INTERCEPT study protocol outlines a multidisciplinary UK-Indonesia collaboration that integrates genomic surveillance, mathematical modeling, and qualitative research across Central Java to identify transmission pathways of carbapenem-resistant bacteria and co-design context-specific interventions to interrupt their spread.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer
In hospitals around the world, a silent crisis is unfolding. Bacteria are evolving to survive the strongest antibiotics doctors have, turning once-treatable infections into life-threatening emergencies. Among the most dangerous of these are carbapenem-resistant organisms. Carbapenems are a class of powerful antibiotics often reserved as a last line of defense when other drugs fail. When bacteria develop the ability to neutralize these drugs, they become critical threats, capable of causing severe illness and death with very few treatment options left. This problem is especially acute in lower-income nations, where healthcare systems face immense pressure and access to alternative medicines is limited. Understanding how these superbugs move from person to person, and how they spread their resistance genes, is the only way to stop them.
In Indonesia, a country with a vast and diverse healthcare system, these resistant bacteria are becoming increasingly common. Despite national efforts to control their spread, rates of resistance continue to climb. To understand why, a team of researchers from Indonesia and the United Kingdom launched a comprehensive investigation called INTERCEPT. This study does not just look at sick patients; it treats the entire hospital and its surrounding community as a single, connected ecosystem. The researchers wanted to map exactly how these dangerous bacteria travel between patients, healthcare workers, the hospital environment, and the wider community, including the wastewater systems that carry waste away from the facilities.
The study is built on three main parts working together. First, the team tracked the movement of bacteria through hospitals and nearby neighborhoods. They collected samples from patients admitted to both intensive care units and general wards, as well as from the staff who care for them. They did not stop at people; they also swabbed high-touch surfaces like door handles and sinks, collected water from sinks and toilets, and even gathered samples from the hospital's wastewater systems. To see how these bacteria behave outside the hospital walls, they also sampled people living in the communities surrounding the hospitals. By taking these samples over several months, covering both wet and dry seasons, the researchers could watch how colonization—the presence of bacteria without necessarily causing active disease—changes over time and moves between different groups.
Second, the team focused on the most severe cases: patients with bloodstream infections caused by these resistant bacteria. They reviewed medical records to understand how these infections were treated, how long patients stayed in the hospital, and what the outcomes were. This part of the study provided a clear picture of the real-world impact of these resistant infections on patient health. Third, the researchers talked to the people who make decisions and carry out daily tasks in the hospitals. They interviewed doctors, nurses, pharmacists, and hospital managers to understand the challenges they face when trying to prevent infections or manage antibiotic use. They observed how these professionals worked in their daily routines to identify the specific barriers that stop effective measures from being implemented.
To make sense of all this data, the researchers used advanced genetic sequencing. They read the genetic code of the bacteria found in the samples to see exactly which strains were present and how they were related. This allowed them to trace the path of transmission with high precision, determining if a bacteria found on a sink was the same one found on a patient or a doctor's hand. They combined this genetic information with mathematical models to simulate how the bacteria spread. These simulations helped them estimate how much of the spread came from person-to-person contact versus how much came from the environment or wastewater.
The study is designed to do more than just observe; it aims to test solutions. After gathering this initial data, the team will work with local stakeholders to design specific interventions tailored to the Indonesian context. These interventions will be tested over nine months to see if they can successfully interrupt the transmission of these resistant bacteria. The researchers plan to measure the situation again after the intervention to see if the spread has slowed down.
This approach is unique because it looks at the problem from every angle at once. Instead of focusing only on the bacteria causing the infection, it examines the entire chain of transmission, from the genes inside the bacteria to the behavior of the people in the hospital. The study acknowledges that it is limited to three hospitals in Central Java, so the findings may not represent every situation across the entire country. However, by combining genetic analysis, mathematical modeling, and human observation, the INTERCEPT study provides a detailed map of how these dangerous bacteria move. It offers a blueprint for how to stop them, not just by treating the sick, but by understanding and breaking the pathways that allow resistance to spread in the first place.
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