Open AccessAssociation between local-level resources for home care and home deaths: A nationwide spatial analysis in Japan
Author(s) -
Noriko Morioka,
Jun Tomio,
Toshikazu Seto,
Yoshie Yumoto,
Yasuko Ogata,
Yasuki Kobayashi
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0201649
Subject(s) - demography , confidence interval , population , ordinary least squares , unit (ring theory) , medicine , geography , regression analysis , spatial analysis , gerontology , environmental health , statistics , mathematics , mathematics education , sociology , remote sensing
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<0.001). Adjusting for the number of hospital beds, total population, and the socio-economic status of municipality, the results of an ordinary least squares regression model showed a positive correlation between the percentage of home deaths and the local resources for home care support clinics per 10,000 elderly population (regression coefficient 0.15, 95% confidence interval 0.07, 0.22), while the existence of spatial autocorrelation of the residual was suggested (Moran’s I of the residual 0.227, p<0.001). The geographically weighted regression model showed local regression coefficients varying across municipalities with a better model fit over the analogous ordinary least squares model (adjusted R 2 0.414 vs. 0.131). Conclusion Home deaths were more prevalent in municipalities with greater home care resources. This association was geographically varied and further strengthened in some areas.