CAJ | 학술논문

目的：分析2006~2011年江苏省人均门诊医疗费用与其影响因素之间的关系，并建立相应方程模型。方法采用文献分析法，筛选8个人均门诊医疗费用影响因素，用统计软件stata11.0进行主成分分析和主成分回归，拟合方程模型。结果构建方程模型：人均门诊费用=163.85-8.33×(死亡率)+9.04×(人均GDP)+9.12×(人均收入)+0.27×(居民消费价格指数)+8.82×(年人均诊疗次数)+8.90×(政府医疗卫生支出)-6.01×(门诊药占比)+9.08×(每千人口卫生技术人员数)。结论加强慢性病的三级预防、提高医师的基础诊疗水平、落实检查结果同城互认制度、避免医院盲目扩增等均是降低人均医疗费用的有效对策。
목적：분석2006~2011년강소성인균문진의료비용여기영향인소지간적관계，병건립상응방정모형。방법채용문헌분석법，사선8개인균문진의료비용영향인소，용통계연건stata11.0진행주성분분석화주성분회귀，의합방정모형。결과구건방정모형：인균문진비용=163.85-8.33×(사망솔)+9.04×(인균GDP)+9.12×(인균수입)+0.27×(거민소비개격지수)+8.82×(년인균진료차수)+8.90×(정부의료위생지출)-6.01×(문진약점비)+9.08×(매천인구위생기술인원수)。결론가강만성병적삼급예방、제고의사적기출진료수평、락실검사결과동성호인제도、피면의원맹목확증등균시강저인균의료비용적유효대책。
Objective: To analyze influencing factors of Outpatient medical costs in Jiangsu Province during 2006-2011,and establish equation model. Methods: By analyzing literatures,8 influencing factors were filtered out.Then principal component analysis was done for related factors by statistical software stata11.Final y,further principal component regression model was fit ed. Result:The model:Outpatient medical costs=163.85-8.33×(mortality)+9.04×(per capita GDP)+9.12×(per capita income)+0.27×(CPI)+8.82×(annual per capita times for clinics)+8.9×(government health spending)-6.01×(proportion of outpatient drugs)+9.08×(number of health workers for per thousand population). Conclusion:Measures to cut down outpatient costs were ef ective,such as to strengthen tertiary prevention for chronic disease, to improve bascial health technological,to fulfil mutual recognition system and to avoid hospital blindly amplification.