与救护车使用者数目有关的区域因素

Kazuya Ikenishi, J. Matsuura
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引用次数: 0

摘要

导言:随着日本老年人口的增长,救护车的使用也在增加。本研究的目的在于厘清各地区医疗服务使用状况及区域特征与救护车使用的关系。本研究以名古屋市16个区为研究对象,对过去10年的数据进行了分析。方法:本研究分析的变量为以往研究中报道的与救护车使用次数有统计学意义的变量,以及代表年份的虚拟变量。这些变量涉及人口和家庭数量、65岁或以上人口比例、外国人人口、生计保护受益人比例、区域健康促进措施、健康检查用户比例、保留的机动车数量。采用Spearman秩相关系数和多元回归分析。结果:本研究纳入2004 - 2013年名古屋市16个病区160份数据。多元回归分析结果显示,家庭户数、外籍人口、生计保障者比例、大肠癌检查率、区域健康促进措施参与人数、每10万人口床位数6个变量均有统计学意义。结论:本研究发现,与救护车使用人数相关的变量为家庭户数、外籍人口、生计保护受援者比例、大肠癌检查率、区域健康促进措施参与人数、每10万人口床位数。
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REGIONAL FACTORS RELATED WITH THE NUMBER OF AMBULANCE USERS
Introduction: Ambulance use was increasing along with growth population of aged in Japan. The purpose of study paper is to clarify the relationship between the state of healthcare service use as well as regional characteristics and ambulance use on regions. The regions that were focused on in this study were 16 wards in Nagoya city, and those data for the past 10 years was analyzed. Methods: Analyzed variables in this study were those in previous studies reported had statistical significant with the number of ambulance use, as well as dummy variables represented year. These variables involved population and the number of household, the proportion of population aged 65 or over, the population of foreigners, proportion of livelihood protection recipients, regional health promotion measures, the proportion of health-checkups user, the number of retained motor vehicles. Spearman's rank correlation coefficient and multiple regression analysis were used. Results: This study included 160 data on 16wards in Nagoya city from 2004 to 2013. Results of multiple regression analysis showed that 6 variables were statistically significant: the number of households, population of foreigners, proportion of livelihood protection recipients, Colon cancer examinee rate, the number of participants in regional health promotion measures, the number of beds per 100,000 populations. Conclusion: This study founded that the variables related with the number of ambulance user were the number of households, population of foreigners, proportion of livelihood protection recipients, Colon cancer examinee rate, the number of participants in regional health promotion measures, number of beds per 100,000 populations.
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