Han Kimyoung, Cho Minho, Chun Kihong
Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea.
Graduate School of Public Health, Ajou University, Suwon, Korea.
J Prev Med Public Health. 2013 Nov;46(6):300-8. doi: 10.3961/jpmph.2013.46.6.300. Epub 2013 Nov 28.
The purpose of this study was to classify determinants of cost increases into two categories, negotiable factors and non-negotiable factors, in order to identify the determinants of health care expenditure increases and to clarify the contribution of associated factors selected based on a literature review.
The data in this analysis was from the statistical yearbooks of National Health Insurance Service, the Economic Index from Statistics Korea and regional statistical yearbooks. The unit of analysis was the annual growth rate of variables of 16 cities and provinces from 2003 to 2010. First, multiple regression was used to identify the determinants of health care expenditures. We then used hierarchical multiple regression to calculate the contribution of associated factors. The changes of coefficients (R(2)) of predictors, which were entered into this analysis step by step based on the empirical evidence of the investigator could explain the contribution of predictors to increased medical cost.
Health spending was mainly associated with the proportion of the elderly population, but the Medicare Economic Index (MEI) showed an inverse association. The contribution of predictors was as follows: the proportion of elderly in the population (22.4%), gross domestic product (GDP) per capita (4.5%), MEI (-12%), and other predictors (less than 1%).
As Baby Boomers enter retirement, an increasing proportion of the population aged 65 and over and the GDP will continue to increase, thus accelerating the inflation of health care expenditures and precipitating a crisis in the health insurance system. Policy makers should consider providing comprehensive health services by an accountable care organization to achieve cost savings while ensuring high-quality care.
本研究旨在将成本增加的决定因素分为两类,即可协商因素和不可协商因素,以确定医疗保健支出增加的决定因素,并阐明基于文献综述选择的相关因素的贡献。
本分析中的数据来自国民健康保险服务的统计年鉴、韩国统计局的经济指数和地区统计年鉴。分析单位是2003年至2010年16个市和省变量的年增长率。首先,使用多元回归来确定医疗保健支出的决定因素。然后,我们使用分层多元回归来计算相关因素的贡献。根据研究者的经验证据逐步纳入本分析的预测变量系数(R(2))的变化可以解释预测变量对医疗成本增加的贡献。
医疗支出主要与老年人口比例相关,但医疗保险经济指数(MEI)呈负相关。预测变量的贡献如下:人口中的老年人口比例(22.4%)、人均国内生产总值(GDP)(4.5%)、MEI(-12%)和其他预测变量(不到1%)。
随着婴儿潮一代进入退休年龄,65岁及以上人口的比例不断增加,GDP也将持续增长,从而加速医疗保健支出的通货膨胀,并引发医疗保险系统的危机。政策制定者应考虑由责任医疗组织提供全面的医疗服务,以在确保高质量医疗的同时实现成本节约。