ABSTRACT
PURPOSE: Patients with cancer experience a wide array of distress symptoms (emotional, practical, physical, and functional), which often hinders their quality of life and survival. Unfortunately, only a small proportion of these patients request assistance for these problems. This study explored the relationship between requests for supportive care assistance and distress of patients newly diagnosed with cancer. METHODS: This study was conducted at city of hope, an NCI-designated comprehensive cancer center, and included 2658 patients treated between 2009 and 2017. Patients were asked to complete a 30-item biopsychosocial problem-related distress survey via SupportScreen® , prior to any treatment. Correlations between requests for assistance and distress domains were evaluated. Primary types of requests were examined for all patients, and general linear modeling was used to determine the significant predictors of requests for assistance. p-values <0.05 were considered significant. RESULTS: Strong correlations were observed between distress subscales and requests for assistance (r ranging from 0.67 to 0.69). The primary types of requests varied by domain: items such as feeling anxious or fearful, finances, and sleep ranked first within the emotional, practical, and physical-functional domains respectively (â¼20% requests for each item). Verbal assistance was generally preferred to the written form of assistance, with the exception of a few items, including finances. Overall, household income of <$100,000 and completing the survey in Spanish were significant predictors of requests for assistance. Regarding the practical and physical-functional domains, having an advanced stage of disease was significantly related to an increase in demands for assistance. Being older was associated to a decrease in requests for assistance vis-à-vis both the emotional and physical functional subscales. CONCLUSION: We demonstrated that distress levels were strongly correlated with requests for assistance. Patients' clinical and demographic characteristics such as age, household income, disease stage and survey language were associated with inquiries for psychosocial support, highlighting the importance of targeting interventions towards those most likely to need them, to better aim patients' needs. Therefore, tailoring supportive care assistance to patients' characteristics could help boost the frequency of requests, reduce distress burden, and improve health outcomes.