Ontology highlight
ABSTRACT: Context
Health systems should aim to deliver on what matters most to patients. With respect to end of life (EOL) care, knowledge on patient preferences for care is currently lacking.Objectives
To quantify preference weights for key EOL care indicators.Methods
We developed a discrete choice experiment survey with 13 key indicators related to patients' experience in the last six weeks of life. We fielded the survey to a web-panel of caregiver proxies for recently deceased care recipients. We obtained 250 responses in each of five countries: India, Singapore, Kenya, the UK and the US. Latent-class analysis was used to evaluate preference weights for each indicator within and across countries.Results
A 2-class latent-class model was the best fit. Class 1 (averag
SUBMITTER: Sepulveda JMG
PROVIDER: S-EPMC9341237 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature