Project description
Better classifications of dying places
Respecting preferences for place of death is important. The first step is to classify the dying places (home, hospital, among others) in a way that is meaningful for individuals. In this context, the EU-funded EOLinPLACE project will create a solid base for the first international classification tool to map preferred and actual places towards death. The project will conduct a mixed-methods study in four countries covering existing target variation to explore nuances and commonalities in people’s end of life pathways. The findings will provide new insights into how to care for the dying.
Objective
All humans die, >60% from a chronic disease. Whenever possible, this should happen where that individual feels it is the right place to be, so they feel empowered and safe. We know that most would prefer dying at home but many die in hospital. To help achieve preferences we must dig deeper. Until now, science has failed to capture the dynamics and diversity of preferences and places where people are cared for at the end of life. Current classifications of dying places are incomplete and inconsistent. I am driven by the vision of reforming the way dying places are classified and understood, refining and shifting the focus from the end-point (place of death) to the pathway that precedes it.
I want to develop a strong foundation for a pioneering international classification tool that maps preferred and actual places towards death grounded on what they mean for individuals (beyond a purely physical or medical view). To achieve this I combine classic methods of developing health classifications with a bottom-up participatory research approach, working with patient and family representatives. First, I conduct a novel mixed-methods study (ethnography followed by longitudinal study) in 4 countries covering existing target variation, to explore nuances and commonalities in the experiences of patients with life-threatening conditions and their families. Based on this, I build a contemporary classification and assess its content validity in focus groups with patients, carers and other stakeholders. I then test it in varied settings to examine construct validity, reliability, responsiveness, data quality and interpretability. All data are integrated to deepen understanding of different end of life pathways in caring environments and what influences them.
Prompted by my discoveries on preferences and concern with unfit classifications for a fast-growing need in a changed social world with limited care resources, my research will open new directions in how to care for the dying.
Fields of science
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Funding Scheme
ERC-STG - Starting GrantHost institution
3004-531 Coimbra
Portugal