Unravelling the lung cancer diagnostic pathway: identifying gaps and opportunities for improvement
Article Category: Research Article
Published Online: Apr 14, 2024
Page range: -
Received: Dec 18, 2023
Accepted: Jan 20, 2024
DOI: https://doi.org/10.2478/raon-2024-0025
Keywords
© 2024 Mateja Marc Malovrh et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Background
A fast and well-organized complex diagnostic process is important for better success in the treatment of lung cancer patients. The aim of our study was to reveal the gaps and inefficiencies in the diagnostic process and to suggest improvement strategies in a single tertiary centre in Slovenia.
Patients and methods
We employed a comprehensive approach to carefully dissect all the steps in the diagnostic journey for individuals suspected of having lung cancer. We gathered and analysed information from employees and patients involved in the process by dedicated questionnaires. Further, we analysed the patients’ data and calculated the diagnostic intervals for patients in two different periods.
Results
The major concerns among employees were stress and excessive administrative work. The important result of the visual journey and staff reports was the design of electronic diagnostic clinical pathway (eDCP), which could substantially increase safety and efficacy by diminishing the administrative burden of the employees. The patients were generally highly satisfied with diagnostic journey, but reported too long waiting times. By analysing two time periods, we revealed that diagnostic intervals exceeded the recommended timelines and got importantly shorter after two interventions - strengthening the diagnostic team and specially by purchase of additional PET-CT machine (the average time from general practitioner (GP) referral to the multidisciplinary treatment board (MDTB) decision was 50.8 [± 3.0] prior and 37.1 [± 2.3] days after the interventions).
Conclusions
The study illuminated opportunities for refining the diagnostic journey for lung cancer patients, underscoring the importance of both administrative and capacity-related enhancements.