Journal of palliative medicine
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Background: Public and private hospitals treat different patient populations, which may impact resources to deliver palliative care (PC). Objectives: Compare public and private hospital PC service structures, processes, and treatment outcomes. Design: Retrospective data analysis of the Palliative Care Quality Network between 2018 and 2019. ⋯ Conclusions: Public hospital PC teams treat a more diverse symptomatic population. Yet, they achieved comparable outcomes with similar staffing to private hospitals. These findings have important ramifications for policy makers and public institution leaders.
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Background: To compare serious illness programs (SIPs) using recently developed patient experience measures, adjustment must be made for patient characteristics not under control of the programs. Objectives: To develop a case-mix adjustment model to enable fair comparison of patient experience between SIPs by investigating the roles of patient characteristics, proxy response, and mode of survey administration (mail-only vs. mail with telephone follow-up) in survey responses. Methods: Using survey data from 2263 patients from 32 home-based SIPs across the United States, we fit regression models to assess the association between patient-level variables and scores for seven quality measures (Communication, Care Coordination, Help for Symptoms, Planning for Care, Support for Family and Friends, and two global assessments of care). ⋯ We also recommend adjusting for mode of survey administration. We find that up to 12 percent of pairs of programs would have their rankings reversed by adjustment. Conclusions: To ensure fair comparison of programs, scores should be case-mix adjusted for variables that influence patients' reports about care quality, but are not under the control of the program administering care.