Moving to and Dying in a Nursing Home Depends Not Only on Health – An Analysis of Socio-Demographic Determinants of Place of Death in Switzerland
Figure 2
Predicted probabilities to die in one of four types of places of death for selected independent variables.
Legend: The probabilities add up to 1 per category of the independent variable which means they can be interpreted as percent. One example: the probability to die in a nursing home compared to other places of death for women is higher for all educational levels compared to other places of death, but it is highest for those with no formal education. Data source: Swiss Federal Statistical Office, MedStat/SOMED/SNC.