e18033 Background: Patient navigation is seen to support and enable patient-oriented, optimal care both in palliative and in screening settings. However, the evidence remains inconclusive on what patient groups are best targeted by navigation and what may be improved by such a care model. Lung cancer patients are at particular risk for sub-optimal care because they face complex care trajectories due to severe and rapid disease progression and accompanying comorbidity. Methods: To develop a navigation model for lung cancer, we conducted a mixed-methods study to investigate who may be at risk of receiving sub-optimal care in the German health care setting. To capture the patient perspective a longitudinal qualitative component was included with patients (N = 20) assessed at three dtime points. In addition, a secondary data analysis of cancer registry data of a comprehensive cancer center was conducted and a repository of patient support offers gathered. Results of the study components were integrated to develop a patient-oriented navigation model. Results: Secondary data analysis showed that medical care functioned according to tumor board recommendations. Patient data revealed institutional barriers that conflict with individual needs and preferences. A lack of contact persons, information provision as well as bureaucratic difficulties were identified. Patients without a social network seem particularly in need for support. Identification of regional support offers shows that there are resources available to meet some of these needs. However, knowledge on such offers was not common among patients and caregivers. Navigators should provide practical support, give advice on social care issues and refer to existing support offers. Conclusions: Social networks crucial. Patients lack knowledge to use available resources. Navigation needs to be implemented within existing care structures to reach patients.
P1.11-39 Low-Dose CT Lung Screening: Data Analysis of Lung Cancer Patients with Above 40 Years Old