JaLCDOI 10.18926/AMO/52406
FullText URL 68_2_101.pdf
Author Izutsu, Masato| Suzuki, Etsuji| Izutsu, Yukako| Doi, Hiroyuki|
Abstract The aim of this study was to examine trends in the geographic distribution of nursing staff in Japan from 2000 to 2010. We examined time trends in the rates of nursing staff per 100,000 population across 349 secondary health service areas. Using the Gini coefficient as a measure of inequality, we separately analyzed the data of 4 nursing staff types:public health nurses (PHN), midwives (MW), nurses (NS), and associate nurses (AN). Then, using multilevel Poisson regression models, we calculated the rate ratios (RRs) and their 95% confidence intervals (CIs) for each type of nursing staff per 1-year change. Overall, the distribution of PHN, MW, and NS improved slightly in terms of the Gini coefficient. After adjusting for prefectural capital and population density, PHN, MW, and NS significantly increased;the RRs per 1-year increment were 1.022 (95% CI:1.020-1.023), 1.021 (95% CI:1.019-1.022), and 1.037 (95% CI:1.037-1.038), respectively. In contrast, AN significantly decreased;the RR per 1-year increment was 0.993 (95% CI:0.993-0.994). Despite the considerable increase in the absolute number of nursing staff in Japan (excluding AN), this increase did not lead to a sufficient improvement in distribution over the last decade.
Keywords health policy inequality Japan multilevel Poisson model nursing staff
Amo Type Original Article
Published Date 2014-04
Publication Title Acta Medica Okayama
Volume volume68
Issue issue2
Publisher Okayama University Medical School
Start Page 101
End Page 110
ISSN 0386-300X
NCID AA00508441
Content Type Journal Article
language 英語
Copyright Holders CopyrightⒸ 2014 by Okayama University Medical School
File Version publisher
Refereed True
PubMed ID 24743785
Web of Science KeyUT 000334652700005
Related Url http://ousar.lib.okayama-u.ac.jp/metadata/52523