Early integration of supportive oncology consultation for hospitalized cancer patients.
136 Background: Integration of Palliative Care (PC) for patients with cancer is associated with improved symptom control, clearer understanding of prognosis, lower utilization of health care resources, and increased hospice use. Yet few studies identify which elements of a PC consultation are most associated with improved outcomes, particularly in the inpatient setting. This study describes the processes of a specialized, interdisciplinary, inpatient PC consultation service that utilized standardized referral criteria and demonstrated improved 30-day readmission, oncology service mortality, and hospice utilization. Methods: We implemented a 3-month intervention on the solid tumor oncology service requiring an automatic PC consultation for patients with one or more of the following criteria: stage IV disease, Stage III lung or pancreatic cancer, hospitalization within 30 days, > 7 day hospitalization, or uncontrolled symptoms. Descriptive statistics were used to identify specific processes associated with the consultation. Results: A total of 52 patients were evaluated. The median time of initial consult was on hospital day 2 and patients were followed for an average of 9 days (±11). The majority of patient encounters were by a physician (47%) or advanced practice nurse (42%), with 48% of encounters lasting 35-60 minutes. Integrative services (massage, yoga etc.) were offered in 72% of consults. The most common issues addressed throughout the consultation were pain (85%), non-pain symptoms (85%), transition planning (85%), and plan of care (82%). Overall, consulting teams addressed more PC needs than were initially identified by chart review. Conclusions: Implementing standardized PC consultations in patients with solid malignancies requires the full support of an interdisciplinary team. PC consultations are time-consuming undertakings, often addressing needs broader in scope than initially identified and requiring the use of specialty level PC in the majority of cases. Future efforts to implement similar interventions can use these data to identify specific staffing needs and to ensure cancer patients receive quality care.