Improving patient and caregiver outcomes in oncology: Team-based, timely, and targeted palliative care.

Over the past decade, a large body of evidence has accumulated supporting the integration of palliative care into oncology practice for patients with advanced cancer. The question is no longer whether palliative care should be offered, but what is the optimal model of delivery, when is the ideal time to refer, who is in greatest need of a referral, and how much palliative care should oncologists themselves be providing. These questions are particularly relevant given the scarcity of palliative care resources internationally. In this state-of-the-science review directed at the practicing cancer clinician, the authors first discuss the contemporary literature examining the impact of specialist palliative care on various health outcomes. Then, conceptual models are provided to support team-based, timely, and targeted palliative care. Team-based palliative care allows the interdisciplinary members to address comprehensively the multidimensional care needs of patients and their caregivers. Timely palliative care, at its best, is preventive care to minimize crises at the end of life. Targeted palliative care involves identifying the patients most likely to benefit from specialist palliative care interventions, akin to the concept of targeted cancer therapies. Finally, the strengths and weaknesses of innovative care models, such as outpatient clinics, embedded clinics, nurse-led palliative care, primary palliative care provided by oncology teams, and automatic referral, are summarized. Moving forward, more research is needed to determine how different health systems can best personalize palliative care to provide the right level of intervention, for the right patient, in the right setting, at the right time. CA Cancer J Clin. 2018;680:00-00. 2018 American Cancer Society, Inc.

Validation of the 7-item Functional Assessment of Cancer Therapy-General (FACT-G7) as a short measure of quality of life in patients with advanced cancer.

BACKGROUND: Assessing quality of life is essential for individuals with advanced cancer, but lengthy assessments can be burdensome. The authors investigated the psychometric characteristics of the FACT-G7, a 7-item quality-of-life measure derived from the Functional Assessment of Cancer Therapy-General (FACT-G) scale, in advanced cancer. METHODS: Data were obtained from outpatients with advanced cancer who were enrolled in a randomized controlled trial of early palliative care. At baseline, 228 intervention participants and 233 control participants (N = 461) completed the FACT-G and measures of symptom severity, quality of life near the end of life, problematic medical communication, and satisfaction with care. Follow-up measures were administered monthly for 4 months. RESULTS: The FACT-G7 showed good internal consistency (Cronbach α = .72-.80), and its single-factor structure was supported. It correlated strongly with the FACT-G total, physical, and functional indices and with symptom severity (absolute r = 0.73-0.92); more moderately with the FACT-G emotional index and with symptom impact and preparation for the end of life (r = .40-.71); and least with the FACT-G social/family index and with relationship with health care provider, life completion, problematic medical communication, and care satisfaction measures (absolute r = .26-.44). Eastern Cooperative Oncology Group performance status groups differed on FACT-G7 scores, as expected (all P < .001). Improvements in FACT-G7 scores in the intervention group compared with the control group at 3-month (P = .049) and 4-month (P = .034) follow-up supported responsiveness to change and somewhat greater sensitivity than the FACT-G scores. CONCLUSIONS: The FACT-G7 is a valid, brief measure particularly of the physical and functional facets of quality of life. It may enable rapid quality-of-life assessments in patients with advanced cancer.