Impact of a Palliative Care Nurse Practitioner in an Oncology Clinic: A Quality Improvement Effort.

PURPOSE: Guidelines support early integration of palliative care (PC) into standard oncology practice; however, little is known as to whether outcomes can be improved by modifying health care delivery in a real-world setting. METHODS: We report our 6-year experience of embedding a nurse practitioner in an oncology clinic (March 2014-March 2020) to integrate early, concurrent advance care planning and PC. RESULTS: Compared with patients with advanced cancer not enrolled in the palliative care nurse practitioner program, in March 2020, patients who are enrolled are more likely to have higher quality of PC (eg, goals of care note documentation [82% v 15%; P < .01], referral to the psychosocial oncology program [67% v 37%; P < .01], and referral to hospice [61% v 34%; P < .01]) and less inpatient utilization in the last 6 months of life (eg, hospital days [12 v 18; P < .01] and intensive care unit days [1.2 v 2.3; P < .01]). The program expanded over time with the support of faculty skills training for advance care planning and PC, supporting a shared mental model of PC delivery within the oncology clinic. CONCLUSION: Embedding a trained palliative care nurse practitioner in oncology clinics to deliver early integrated PC can lead to improved quality of care for patients with advanced cancer.

Effect and Efficiency of an Embedded Palliative Care Nurse Practitioner in an Oncology Clinic.

PURPOSE: To test a simultaneous care model for palliative care for patients with advanced cancer by embedding a palliative care nurse practitioner (NP) in an oncology clinic. METHODS: We evaluated the effect of the intervention in two oncologists' clinics beginning March 2014 by using implementation strategies, including use of a structured referral mechanism, routine symptom screening, integration of a psychology-based cancer supportive care center, implementation team meetings, team training, and a metrics dashboard for continuous quality improvement. After 1 year of implementation, we evaluated key process and outcome measures for supportive oncology and efficiency of the model by documenting tasks completed by the NP during a subset of patient visits and time-motion studies. RESULTS: Of approximately 10,000 patients with active cancer treated in the health system, 2,829 patients had advanced cancer and were treated by 42 oncologists. Documentation of advance care planning increased for patients of the two intervention oncologists compared with patients of the other oncologists. Hospice referral before death was not different at baseline, but was significantly higher for patients of intervention oncologists compared with patients of control oncologists (53% v 23%; P = .02) over the intervention period. Efficiency evaluation revealed that approximately half the time spent by the embedded NP potentially could have been completed by other staff (eg, a nurse, a social worker, or administrative staff). CONCLUSION: An embedded palliative care NP model using scalable implementation strategies can improve advance care planning and hospice use among patients with advanced cancer.

Use of a Shared Mental Model by a Team Composed of Oncology, Palliative Care, and Supportive Care Clinicians to Facilitate Shared Decision Making in a Patient With Advanced Cancer.

Our case describes the efforts of team members drawn from oncology, palliative care, supportive care, and primary care to assist a woman with advanced cancer in accepting care for her psychosocial distress, integrating prognostic information so that she could share in decisions about treatment planning, involving family in her care, and ultimately transitioning to hospice. Team members in our setting included a medical oncologist, oncology nurse practitioner, palliative care nurse practitioner, oncology social worker, and primary care physician. The core members were the patient and her sister. Our team grew organically as a result of patient need and, in doing so, operationalized an explicitly shared understanding of care priorities. We refer to this shared understanding as a shared mental model for care delivery, which enabled our team to jointly set priorities for care through a series of warm handoffs enabled by the team's close proximity within the same clinic. When care providers outside our integrated team became involved in the case, significant communication gaps exposed the difficulty in extending our shared mental model outside the integrated team framework, leading to inefficiencies in care. Integration of this shared understanding for care and close proximity of team members proved to be key components in facilitating treatment of our patient's burdensome cancer-related distress so that she could more effectively participate in treatment decision making that reflected her goals of care.

Depression in older women with metastatic breast cancer.

Depressive symptoms are common in older women with late-stage breast cancer, and some of these patients meet criteria for major depressive disorder. Significant overlap exists among many of the most prevalent physical signs and symptoms of depression in older adults (e.g., weight loss, fatigue) and the physical signs and symptoms of malignancy or treatment for malignancy, which may contribute to ongoing underdiagnosis and undertreatment of depression in this population. The National Comprehensive Cancer Network and evidence-based geriatric nursing guidelines call for routine screening for depression with valid and reliable screening instruments among high-risk groups at every encounter. Geriatrics, oncology, and palliative care nurses are encouraged to regularly screen older women with metastatic breast cancer for depressive symptoms and maintain a low threshold for initiation of behavioral and/or psychopharmacological interventions.