ABSTRACT
Objective:To explore the potential categories of post-operative supportive care demand trajectory for patients with non-small cell lung cancer (NSCLC), analyze the influencing factors, and propose targeted interventions.Methods:This was a prospective observational study. A convenient sampling method was used to select 177 NSCLC patients who received surgical treatment in Shanghai Lung Hospital Affiliated to Tongji University from January 2021 to February 2022. The Supportive Care Demand Scale for cancer patients was used to investigate the level of patients′supportive care demand 1 day before operation, 3 days after operation, 1 day before discharge, 1 week after discharge, 1 month after discharge, and 3 months after discharge, and the potential growth model was used to identify the trajectory category and multi category Logistic regression analysis was used to explore the influencing factors.Results:Three supportive care demand trajectories were fitted out in this study, which were the continuous high demand group (46.33%), the slowly decreasing demand group (30.51%), and the low decreasing demand group (23.16%). With the potential category group 3, low demand reduction group as the reference category, Logistic regression analysis showed that high psychological distress, low social support, high disease stage, high comorbidities were more likely to enter the continuous high demand group ( OR = 0.826 to 18.526, all P<0.05), and high education level (college education and above and high school) were more likely to enter the slowly decreasing demand group ( OR = 6.076, 4.199, both P<0.05). Conclusions:The demand track of NSCLC patients for supportive care after surgery has population heterogeneity. Clinical medical staff should provide personalized social support and emotional support for patients with high disease stage, more complications and low education level in the early postoperative period.