Ontology type: schema:ScholarlyArticle Open Access: True
2015-09-01
AUTHORSJ Cohen, L Pivodic, G Miccinesi, B D Onwuteaka-Philipsen, W A Naylor, D M Wilson, M Loucka, A Csikos, K Pardon, L Van den Block, M Ruiz-Ramos, M Cardenas-Turanzas, Y Rhee, R Aubry, K Hunt, J Teno, D Houttekier, L Deliens
ABSTRACTBACKGROUND: Where people die can influence a number of indicators of the quality of dying. We aimed to describe the place of death of people with cancer and its associations with clinical, socio-demographic and healthcare supply characteristics in 14 countries. METHODS: Cross-sectional study using death certificate data for all deaths from cancer (ICD-10 codes C00-C97) in 2008 in Belgium, Canada, Czech Republic, England, France, Hungary, Italy, Mexico, the Netherlands, New Zealand, South Korea, Spain (2010), USA (2007) and Wales (N=1,355,910). Multivariable logistic regression analyses evaluated factors associated with home death within countries and differences across countries. RESULTS: Between 12% (South Korea) and 57% (Mexico) of cancer deaths occurred at home; between 26% (Netherlands, New Zealand) and 87% (South Korea) occurred in hospital. The large between-country differences in home or hospital deaths were partly explained by differences in availability of hospital- and long-term care beds and general practitioners. Haematologic rather than solid cancer (odds ratios (ORs) 1.29-3.17) and being married rather than divorced (ORs 1.17-2.54) were most consistently associated with home death across countries. CONCLUSIONS: A large country variation in the place of death can partly be explained by countries' healthcare resources. Country-specific choices regarding the organisation of end-of-life cancer care likely explain an additional part. These findings indicate the further challenge to evaluate how different specific policies can influence place of death patterns. More... »
PAGES1397-1404
http://scigraph.springernature.com/pub.10.1038/bjc.2015.312
DOIhttp://dx.doi.org/10.1038/bjc.2015.312
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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/bjc.2015.312'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.2015.312'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.2015.312'
This table displays all metadata directly associated to this object as RDF triples.
402 TRIPLES
22 PREDICATES
135 URIs
123 LITERALS
28 BLANK NODES