Research Integrated clinical, environmental, and healthcare-worker hand surveillance for unit-level infection prevention prioritisation in a Mongolian tertiary hospital: a two-component observational study

In hospitals, the battle against infection is often fought on two fronts: inside the patient's body and on the surfaces around them. When a patient falls ill with an infection they did not bring with them, it is called a healthcare-associated infection. These illnesses are dangerous because the germs causing them are often resistant to standard medicines, making them difficult to treat. To stop these infections, doctors and nurses must understand where the germs are hiding. While we know that sick patients carry these bugs, we also know that the environment plays a role. High-touch surfaces like bed rails, door handles, and shared equipment can act as temporary homes for germs, and the hands of healthcare workers can pick them up and move them from one place to another. The challenge for hospital leaders is figuring out which specific rooms or units are the most risky. If a hospital tries to clean everything with the same intensity, resources are wasted. If they ignore the most dangerous spots, patients remain at risk. The goal is to find the precise locations where the number of sick patients, the dirt on the surfaces, and the germs on the hands of staff all overlap, creating a perfect storm for infection.

A team of researchers in Ulaanbaatar, Mongolia, set out to solve this puzzle in a large tertiary hospital. They wanted to see if combining three different types of information—records of patient infections, swabs of room surfaces, and samples from healthcare workers' hands—could pinpoint exactly where to focus their cleaning and prevention efforts. Instead of looking at the hospital as a whole, they broke it down unit by unit. They began by reviewing three years of medical records to count how many patients developed infections and which types of germs were involved. They found that out of nearly 44,000 admissions, there were over 2,400 infections. The vast majority of these were caused by multidrug-resistant organisms, which are germs that have evolved to survive many common antibiotics. The data showed that these infections were not spread evenly; they were heavily concentrated in just four areas of the hospital: general surgery, the intensive care unit, other general wards, and the emergency department. These four areas accounted for more than 90 percent of all the resistant infections.

To understand the environment, the researchers then visited six specific units for a short period in the summer of 2025. They took samples from 131 high-touch surfaces, such as bed controls and IV poles, and also asked 68 healthcare workers to press their hands onto special plates before they washed them. This method captured the germs that were on their hands at that exact moment, right after they had finished caring for a patient. The results revealed a clear picture of contamination. About one-third of the surfaces they tested were positive for bacteria, and roughly one-sixth of those surfaces held multidrug-resistant organisms. The healthcare workers' hands were even more frequently contaminated, with about one-third of the hand samples showing the presence of methicillin-resistant Staphylococcus aureus, a tough type of staph bacteria. Interestingly, the type of germ found depended on the location. In the surgery units, the most common resistant germs were staph and a type of E. coli. In the intensive care unit, a different germ called Acinetobacter baumannii was the most frequent.

The most valuable part of the study was how the researchers combined these three streams of data to create a priority list. They looked for units where the high number of infected patients matched with dirty surfaces and contaminated hands. The surgery unit and the intensive care unit emerged as the top priorities because they had high infection rates, significant surface contamination, and frequent hand contamination. However, the study also uncovered a surprise. The stroke unit did not have as many infected patients as the surgery or intensive care units, yet it had the highest rate of multidrug-resistant germs on its surfaces. This finding suggested that even though fewer patients were getting sick there, the environment was heavily contaminated, perhaps due to shared equipment or cleaning habits. This meant that the stroke unit also needed immediate attention, even though its patient numbers were lower. The researchers also checked whether the problem was getting worse over time. After carefully accounting for some gaps in the data, they found no strong evidence that the number of resistant infections was increasing year over year.

This integrated approach allowed the hospital to move beyond guessing and start acting with precision. By identifying that the risk was not uniform, the team could recommend that the hospital maintain basic cleaning standards everywhere but intensify their efforts in the specific units that showed the most danger. For the top-priority units, this means stricter checks on hand washing, more rigorous cleaning of shared equipment, and a closer look at which antibiotics are being used. For the stroke unit, the focus should be on understanding why the surfaces are so dirty despite the lower infection count. The study makes it clear that finding a germ on a surface or a hand does not prove that it caused a specific patient's illness, but it does serve as a powerful warning signal. It tells hospital staff that the conditions are right for transmission to happen. By listening to these signals from the patients, the surfaces, and the staff, the hospital can protect its most vulnerable people without wasting time and money on areas that are already safe.