A High-Efficiency Consultation Improves Urological Diagnosis in Patients with Complex LUTS-A Pilot Study

Complex lower urinary tract symptoms often require multiple diagnostic steps. Traditional diagnostic pathways involve sequential testing, which can delay diagnosis. These delays may affect treatment timing and patient satisfaction. Healthcare systems face pressure to reduce waiting times and costs. Urological evaluations typically include several specialized tests. Each test may require separate appointments and staff time. This process can be inefficient for both patients and providers. A new approach aims to streamline this process into a single consultation.

This pilot study aimed to evaluate a new diagnostic model for complex lower urinary tract symptoms. The model combined multiple diagnostic tests into one consultation. The goal was to reduce waiting times and improve efficiency. Researchers compared this model to the traditional sequential approach. They focused on patient outcomes and healthcare resource use. The study also examined patient satisfaction and diagnostic accuracy. The primary objective was to assess time and cost savings. Secondary goals included measuring carbon footprint reduction.

The study used a prospective pilot design with a paired cohort comparison. Patients with complex LUTS received all tests in one visit. The tests included ultrasound, uroflowmetry, cystoscopy, and pressure-flow studies. The same physician conducted all diagnostic procedures. A control group from 2021 followed the standard diagnostic pathway. Researchers measured waiting times, staff time, and patient journeys. They also assessed diagnostic accuracy and patient satisfaction. The study evaluated financial and environmental impacts.

The high-efficiency model saved 175 days of waiting per patient compared to the standard model. It reduced doctor time by 60 minutes and nursing time by 120 minutes per patient. Average cost savings were over 300 euros per patient. The model eliminated 120 hospital visits per patient, reducing CO2 emissions by 145.86 kg. In 33% of cases, the combined consultation led to better diagnoses. Patients reported high satisfaction and good tolerability of the process. The model improved therapeutic decision-making accuracy. It also optimized healthcare resource use and system savings.

The high-efficiency consultation model improved waiting times for complex LUTS patients. It enhanced diagnostic accuracy in a third of cases, leading to better treatments. The model saved significant time for both doctors and nursing staff. Patient satisfaction was high, with good tolerability reported. The approach reduced hospital visits and carbon emissions. It generated financial savings for the healthcare system. The study supports the model's potential for broader implementation. The authors suggest it could serve as a template for other complex diagnostic processes.