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Association between local-level resources for home care and home deaths: A nationwide spatial analysis in Japan
- Source :
- PLoS ONE, Vol 13, Iss 8, p e0201649 (2018)
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
Abstract
- Aim Little is known about whether and how local-level resources regarding home care are associated with the prevalence of home deaths. We aimed to investigate whether geographic patterns of the resources for home care were associated with the prevalence of home deaths, taking spatial variation into consideration. Methods We conducted an ecological cross-sectional study in Japan using nationwide data in 2014. The areal unit was the municipality, the smallest administrative unit in Japan. We investigated the association between the percentage of home deaths and the resources of home care support clinics with available 24-hour-a-day functions, considering the geographic effect of neighboring municipalities by applying a geographically weighted regression model. Results The mean and standard deviation of the percentages of home deaths were 11.4% (5.0%), and those of the number of home care support clinics per 10,000 elderly population were 3.4 (3.7). The percentages of home deaths in neighboring municipalities tended to be significantly correlated (Moran’s I 0.34, p
- Subjects :
- Cross-sectional study
lcsh:Medicine
Unit (housing)
03 medical and health sciences
0302 clinical medicine
Japan
030502 gerontology
Linear regression
Humans
030212 general & internal medicine
Cities
lcsh:Science
Spatial analysis
Spatial Regression
Aged
Aged, 80 and over
Multidisciplinary
lcsh:R
Urban Health
Local regression
Home Care Services
Confidence interval
Death
Long-term care
Geography
Cross-Sectional Studies
Ordinary least squares
lcsh:Q
0305 other medical science
Demography
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....a04100a8a85ff81a5457504e3c1c5b72