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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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/26325102
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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.
396 TRIPLES
22 PREDICATES
131 URIs
119 LITERALS
28 BLANK NODES