BACKGROUND AND OBJECTIVES: Pediatric palliative care (PPC) is integral to the care of children living with serious illnesses. Despite the growth in the number of established palliative care programs over the past decade, little is known about the current operational features of PPC programs across the country. METHODS:The National Palliative Care Registry collects annualized data on palliative care programs' structures, processes, and staffing. Using data from the 2018 registry survey, we report on the operational features of inpatient PPC programs across the United States.RESULTS: Fifty-four inpatient PPC programs submitted data about their operations. Programs reported a median of 3.8 full-time equivalent staff per 10 000 hospital admissions (range 0.7-12.1) across the core interdisciplinary team, yet few (37%) met the minimum standards of practice for staffing. Programs provided more annual consults if they were longer-standing, had more interdisciplinary full-time equivalent staff, offered 24/7 availability for patients and families, or were at larger hospitals. The majority of programs reported concern for burnout (63%) and an inability to meet clinical demand with available staffing (60%). CONCLUSIONS:There is considerable variability in PPC program operations and structure in hospitals. This study affirms the need for updated program standards and guidelines, as well as research that describes how different care delivery models impact outcomes for patients, families, staff, and health care systems. Future studies that further define the clinical demand, workload, and sustainability challenges of PPC programs are necessary to foster the provision of high-quality PPC and maintain a vital clinical workforce.

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Objectives: Pediatric palliative care promotes interdisciplinary, family-centered care when children are faced with diagnoses threatening length and/or quality of life. A significant knowledge gap remains in how to best match pediatric palliative care resources to palliate the psychosocial impact of a PICU admission. This study was designed to identify drivers of adverse post-PICU psychosocial outcomes related to social determinants of health to inform pediatric palliative care services and improve post-PICU psychosocial outcomes. Design: Modified Delphi technique to develop consensus regarding social determinants of health and clinical factors affecting post-ICU psychosocial outcomes. Setting: All Delphi rounds were via an electronically mailed survey link. Subjects: First-round participants were PICU and pediatric palliative care clinicians at the study institution. Subsequent rounds invited participants from national PICU and pediatric palliative care professional online listserves. Interventions: None. Measurements and Main Results: Consensus was defined a priori as items assigned a score greater than or equal to 4 (5-point scale) by greater than75% of respondents. One-hundred twenty-six surveys were returned and scored. Social determinants of health risk factors included child protective services involvement (91%), caregiver with intellectual disability (87%), lack of friend or family support (82%), caregiver with behavioral health diagnosis (81%), teenage caregiver (79%), transportation challenges (79%), and language/cultural barrier (76%). Clinical risk factors included new home ventilator (94%), new tracheostomy (90%), greater than or equal to 3 hospitalizations in the prior 6 months (88%), and greater than or equal to 3 hospitalizations in the prior 12 months (82%). Social determinants of health protective factors included extended family support (91%), caregivers in a committed relationship (79%), and caregiver optimism (78%). Respondents reported that pediatric palliative care services had the greatest impact on caregiver satisfaction with the healthcare system (90%) and increased family involvement with state social services programs (80%). Conclusions: Consensus on candidate risk and protective factors for post-ICU psychosocial challenges and candidate pediatric palliative care-sensitive variables were identified. Further research is needed to operationalize and optimize a screening tool based on these consensus items and test it prospectively.

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