Using information technology to power an integrated, community-based oncology palliative care model.

Abstract

166 Background: There is a need to improve palliative care program access for patients with cancer. The identification of candidates for palliative care at the point of diagnose can improve care and reduce costs. This pilot program was launched in July 2015 by four stakeholders: Health plan; Regional palliative care provider; Community oncology practice; and Oncology quality management provider. Methods: Objectives are to increase patient satisfaction, reduce unnecessary utilization and costs. Data captured by information technology at the point-of-care are used to: Evaluate Diagnosis, Stage, Treatment Intent, Performance Status, and Line of Therapy criteria to identify patients with recurrent/metastatic disease who would potentially benefit from palliative care; Trigger a palliative care program referral; and Initiate the chemotherapy treatment preauthorization process. Retrospective analysis will evaluate: Patient (Concordance with goals & cultural preferences, Member quality of care at end-of-life, Length of stay on hospice, Death in place of patient’s preference), Hospital (Deaths in acute/facility ICU), and Clinical (Referrals to palliative care and hospice; Use of chemotherapy 2 weeks prior to death). Results: See table below. Conclusions: There is an opportunity to inform physicians and oncology practice mid-level staff about the differences between palliative and hospice care. Community-based supportive care services can prevent avoidable hospital admissions. There have been two instances where having a palliative care nurse visit patients at their homes prevented hospital emergency department admissions. Educating patients about the benefits of palliative care can be challenging. For example, a patient with recurrent/metastatic breast cancer, an ECOG status of 2 and who had received beyond 4th line treatment was not interested in the program. [Table: see text]