One-stop diagnosis for symptomatic breast disease

Breast disease evaluation often involves multiple visits and delayed diagnoses. Standard care typically requires separate appointments for imaging and pathology. This fragmented process can increase patient anxiety and reduce efficiency. Prior research has shown that diagnostic delays correlate with poorer outcomes in breast cancer. However, no prior work had resolved how to streamline the diagnostic workflow effectively. That uncertainty drove the development of integrated care models. These models aim to consolidate diagnostic steps into a single visit. The knowledge gap lies in assessing whether such models improve clinical outcomes. This paper's contribution is evaluating a specific one-stop clinic's impact on patient management.

The study aimed to assess the effectiveness of a one-stop diagnostic service for symptomatic breast disease. The specific problem addressed is the inefficiency of traditional multi-visit diagnostic approaches. The motivation stems from the need to reduce patient anxiety and diagnostic delays. The clinic's design integrates mammography, ultrasonography, and cytology into a single visit. The goal is to finalize a diagnosis and treatment plan during the first outpatient appointment. This approach contrasts with standard protocols requiring multiple visits. The study focuses on evaluating clinical outcomes and resource utilization. It tests whether immediate reporting improves decision-making and patient satisfaction.

The study used a prospective audit of four consecutive clinics at St Bartholomew's Hospital. The one-stop service was consultant-led and available weekly for 18 months. Patients underwent mammography, ultrasonography, and cytology in a single visit. Immediate reporting allowed rapid decision-making for management plans. Data were collected on 50 one-stop patients out of 520 total attendees. The audit tracked wait times from appointment to surgical consultation. It also measured delays between investigations and clinical reviews. The primary outcome was the proportion of patients receiving a management decision at first visit.

Immediate reporting led to a management decision for 48 (96%) of one-stop patients at first visit. Nine patients (18%) were offered surgery based on findings. Eighteen (36%) were discharged with benign diagnoses and no mass detected. Four symptomatic cancers were identified through the one-stop process. These cancers represented 8% of the clinic's workload. Mean wait from appointment to surgical consultation was 37.7 minutes. Investigation to clinical review averaged 56.9 minutes. Seventy-two percent of patients completed the process in under 2 hours.

The authors propose that one-stop clinics optimize patient management for symptomatic breast disease. They suggest that integrated services reduce patient anxiety through rapid diagnosis. The study claims that this model maximizes outpatient resource utilization efficiently. The data support the value of immediate reporting in diagnostic decision-making. The authors note that 96% of patients received a management plan at first visit. They emphasize that this approach streamlines care compared to traditional models. The findings indicate that one-stop services can handle complex cases effectively. The authors conclude that this model should be considered for broader implementation.