• Michael W Rabow, Monique Parrish, Anne Kinderman, Julie Freedman, Heather Harris, Daniel Cox, Solomon Liao, Katherine Yu, Katherine Ward, Claudia Landau, and Kathleen Kerr.
• Division of Palliative Medicine, University of California San Francisco, San Francisco, California, USA.
• J Palliat Med. 2021 Jul 1; 24 (7): 1045-1050.

AbstractBackground: Although clinic-based palliative care (PC) services have spread in the United States, little is known about how they function, and no studies have examined clinics that predominantly serve safety net populations. Objectives: To describe the PC clinics operating in safety net institutions in California. Design: Survey completed by PC program leaders Setting/Subjects: PC programs in California, USA, safety net medical centers. Measurements: Descriptive statistics regarding staffing, clinic processes, patients served, and finances. Results: Twelve of 15 programs responded; 10 clinics that met inclusion criteria. All 10 programs use multiple disciplines to deliver care. Average full-time equivalent (FTE) used to staff an average of 2.75 half-day clinics per week includes 0.69 physician FTE, 0.51 nurse practitioner FTE, 1.37 nurse FTE, 0.79 social worker FTE, and 0.52 chaplain FTE. Clinic session schedules include an average of 1.88 new patient appointment slots (standard deviation [SD] = 0.44) and four follow-up appointment slots (SD = 1.95). The nine programs that reported on clinic volumes see 1081 patients annually combined, with an annual average of 120 (SD = 48.53) per program. Encounters per patient averaged 3.04 (SD = 1.59; eight programs reporting). All reported offering seven core PC services: pain/symptom management, comprehensive assessment, care coordination, advance care planning, PC plan of care, emotional support, and social service referrals. An average of 77.4% (SD = 26.81) of clinic financing came from the health systems. Conclusions: Our respondents report using an interdisciplinary team approach to deliver guideline-concordant specialty PC. More research is needed to understand the most effective and efficient staffing models for meeting the PC needs of the safety net population.

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