Santric-Milicevic M, Vasic V, Terzic-Supic Z
Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Dr Subotica 15, 11000, Belgrade, Serbia.
Center School of Public Health and Health Management, Faculty of Medicine, University of Belgrade, Pasterova 2, 11000, Belgrade, Serbia.
Hum Resour Health. 2016 Aug 15;14(1):50. doi: 10.1186/s12960-016-0146-3.
In times of austerity, the availability of econometric health knowledge assists policy-makers in understanding and balancing health expenditure with health care plans within fiscal constraints. The objective of this study is to explore whether the health workforce supply of the public health care sector, population number, and utilization of inpatient care significantly contribute to total health expenditure.
The dependent variable is the total health expenditure (THE) in Serbia from the years 2003 to 2011. The independent variables are the number of health workers employed in the public health care sector, population number, and inpatient care discharges per 100 population. The statistical analyses include the quadratic interpolation method, natural logarithm and differentiation, and multiple linear regression analyses. The level of significance is set at P < 0.05.
The regression model captures 90 % of all variations of observed dependent variables (adjusted R square), and the model is significant (P < 0.001). Total health expenditure increased by 1.21 standard deviations, with an increase in health workforce growth rate by 1 standard deviation. Furthermore, this rate decreased by 1.12 standard deviations, with an increase in (negative) population growth rate by 1 standard deviation. Finally, the growth rate increased by 0.38 standard deviation, with an increase of the growth rate of inpatient care discharges per 100 population by 1 standard deviation (P < 0.001).
Study results demonstrate that the government has been making an effort to control strongly health budget growth. Exploring causality relationships between health expenditure and health workforce is important for countries that are trying to consolidate their public health finances and achieve universal health coverage at the same time.
在财政紧缩时期,计量经济学健康知识有助于政策制定者在财政限制范围内理解医疗保健计划并平衡卫生支出。本研究的目的是探讨公共卫生部门的卫生人力供应、人口数量和住院护理利用情况是否对总卫生支出有显著贡献。
因变量是塞尔维亚2003年至2011年的总卫生支出(THE)。自变量是公共卫生部门雇佣的卫生工作者数量、人口数量以及每100人口的住院护理出院人数。统计分析包括二次插值法、自然对数和微分以及多元线性回归分析。显著性水平设定为P < 0.05。
回归模型解释了观测因变量所有变化的90%(调整后R平方),且该模型具有显著性(P < 0.001)。卫生人力增长率每增加1个标准差,总卫生支出增加1.21个标准差。此外,(负)人口增长率每增加1个标准差,该比率下降1.12个标准差。最后,每100人口住院护理出院人数增长率每增加1个标准差,增长率增加0.38个标准差(P < 0.001)。
研究结果表明政府一直在大力控制卫生预算增长。对于那些试图同时巩固公共卫生财政并实现全民健康覆盖的国家来说,探索卫生支出与卫生人力之间的因果关系很重要。