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本研究通过1988年我国十九个县的抽样调查,用人均就诊次数、人均诊疗费支出、人均门诊费用和人均住院日作为反映乡一级卫生服务需求的相关指标,对其影响因素分别选择多元线性回归模型进行拟合,结果表明人均收入、集资医疗人口比例和日均往院费用为最重要的影响因素。同时,对重要影响因素分别作需求弹性系数估计,结果揭示弹性系数分析对卫生服务规划,需求预测和政策评价有明显的指导意义。
In this study, through a sample survey in 19 counties in 1988, the number of visits per capita, per capita treatment expenditure, per capita outpatient expenses, and per-person hospital stay were taken as the relevant indicators to reflect the demand for township-level health services. The linear regression model was used to fit the results. The results show that the per capita income, the proportion of the funded medical care population, and the average daily hospital payment are the most important influencing factors. At the same time, estimating the elasticity of demand for the important influencing factors, the results reveal that the analysis of elasticity coefficient has obvious guiding significance for health service planning, demand forecasting and policy evaluation.