Context: Few resources exist to support collaborative quality monitoring in palliative care. These tools, if proven efficient through technology-enabled methods, may begin to routinize data collection on quality during usual palliative care delivery. Usability testing is a common approach to assess how easily and effectively users can interact with a newly developed tool.
View Article and Find Full Text PDFBackground: Predicting when burdensome symptoms will arise or worsen is important to preserving quality of life in patients with serious illness.
Objectives: We explored the relationship between prevalence and severity of symptoms and underlying performance status.
Methods: We performed a retrospective cohort analysis of patients receiving community palliative care, investigating relationships between symptom burden and performance status.
J Pain Symptom Manage
February 2015
Background: Measuring quality of care delivery is essential to palliative care program growth and sustainability. We formed the Carolinas Consortium for Palliative Care and collected a quality data registry to monitor our practice and inform quality improvement efforts.
Measures: We analyzed all palliative care consultations in patients with cancer in our quality registry from March 2008 through October 2011 using 18 palliative care quality measures.
Purpose: As palliative care further integrates into cancer care, descriptions of how supportive care quality measures improve patient outcomes are necessary to establish best practices.
Methods: We assessed the relationship between conformance to 18 palliative care quality measures and quality of life from data obtained using our novel point-of-care, electronic quality monitoring system, the Quality Data Collection Tool for Palliative Care (QDACT-PC). All patients with cancer from January 2008 through March 2011 seen in the Carolinas Palliative Care Consortium were evaluated for demographic, disease, prognostic, performance status, and measure conformance variables.