[Factors affecting three elements of the medical expense for the aged].

[Factors affecting three elements of the medical expense for the aged].
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老年人医疗费用三要素的影响因素[J].

DOI:
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发表时间:
1998
期刊:
[Nihon koshu eisei zasshi] Japanese journal of public health
影响因子:
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通讯作者:
M. Yamashita
M. Yamashita
中科院分区:
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文献类型:
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作者:
M. Yamashita

文献摘要

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研究了日本678个城市1990财政年度国民健康保险下70岁及以上住院和门诊病人的人均医疗费用。人均医疗费用由三个因素组成,即服务接受率、每次住院天数和每日医疗费用。为明确影响医疗费用的三个因素,采用医疗供给与医疗需求、家庭类型、卫生项目和社会经济等多个指标进行多元回归分析。结果如下。(1)与住院费用和服务接受率呈显著正相关的主要因素是医疗供给。(2)住院病人的床日收入和服务接受率与脑卒中呈负相关。(3)住院患者和门诊患者的每日医疗费用与医疗供应呈负相关,如每个人口的医院数量。(4)与门诊医疗费用正相关的主要因素是医疗需要,如癌症和心脏病。(5)门诊服务接受率与可及性因素如单位面积医疗机构数呈正相关。(6)每个城市的门诊接待天数与健康水平呈负相关。
The per capita medical expense was studied for inpatients and outpatients aged 70 years and over under the National health insurance for fiscal year 1990 among 678 cities in Japan. Per capita medical expense consists of three factors, i.e. service-acceptance rate, bed-days per receipt and the medical expense per day. To clarify what factors are associated with these three factors of the medical expense, multiple regression analyses were performed using several indices of medical supply and medical need, family type, health projects and socioeconomics. The results are as follows. (1) The major factor that was correlated significantly and positively with the expense and service-acceptance rate for inpatients was medical supply. (2) Both the bed-days receipt and the service-acceptance rate for inpatients were negatively correlated with cerebral apoplexy. (3) Medical expenses per day for inpatients and outpatients were negatively correlated with medical supply, such as the number of hospitals per population. (4) The major factor that was correlated positively with medical expenses for outpatients was medical need, such as cancer and heart disease. (5) Service-acceptance rate of outpatients was correlated positively with the factors of accessibility, such as number of medical institutions per area. (6) Days per receipt of outpatients was correlated negatively with the level of health among cities.