The role of specialty palliative care interdisciplinary team members in acute care decision support: a qualitative study protocol

Abstract

Abstract Background Specialty palliative care interdisciplinary teams (IDT) can play an important role in supporting patients and family members during acute care decision-making. Despite guidelines and evidence emphasizing decision-making support as a key domain of specialty palliative care, little is known about how decision-making support is actually implemented by specialty palliative care IDTs. This study aims to (1) describe the structure and processes of inpatient decision-making support delivered by specialty palliative care IDT, and (2) examine the perspectives of IDT members on their role in this decision-support. Methods A team of clinician and non-clinician researchers will conduct non-participant observation ethnography at a single medical center in northern New England. The ethnography will focus on the work of IDT members in supporting decision making, particularly elements of specialty palliative care that have limited descriptions in the literature (e.g. systems and processes of care). Observations of formal and informal interactions between IDT members and clinical encounters will be conducted at one site over four months. Participants include patients, care partners, non-specialty palliative care providers, and specialty palliative care IDT members. Additionally, we will conduct semi-structured interviews with IDT members across three geographically diverse specialty palliative care teams across the United States to explore providers’ first-person perspective on their roles and function in decision-making support for hospitalized patients. Field notes and transcripts from observation and interviews will be uploaded to Dedoose software for management and thematic analysis following an inductive approach. Discussion To our knowledge, this will be the first observational study of the roles of interdisciplinary specialty palliative care teams. Results from this research will support further investigation into implementation of decision-making support across different types of medical teams.