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目的:评价军队医院药学部门的相对效率,为医院合理配置药学资源提供决策参考。方法:运用数据包络分析方法(DEA),以药学人员、设施设备、实际使用面积、发展建设经费为投入要素,以药品收费、临床药学服务、药学信息服务、学术成果、科研活动等为产出要素,评价71家军队医院药学部门的生产效率,对不同经济条件假设下的评价结果进行效率分解,以评估各部门的规模效率、要素处置效率和纯技术效率;结果:数据包络分析表明28家医院的药学部门相对效率值为1,DEA有效,43家医院药学部门相对效率<1,投入要素存在效率损失;多元线性回归分析表明,医院编制等级、医院病床展开数、临床药师下临床的时间、人员新进率、本科以上学历的药学专业技术人员比例、病床使用率等因素与5项产出要素值相关,并建立5个多元线性回归方程;Pearsonχ2检验表明规模效率、要素处置效率和纯技术效率相对无效的药学部门在不同的医院编制等级中的分布差异有统计学意义,要素处置效率、纯技术效率相对无效的药学部门在不同地区的分布差异有统计学意义;Pear-son两两相关分析结果表明药学部门DEA相对效率值与医院等级相关,与医院所属地区和所在城市无关。结论:军队医院的编制等级以及由此引起的资源和技术力量的有效配置可能是药学部门提高效率的关键因素。
Objective: To evaluate the relative efficiency of pharmacy departments in military hospitals and provide reference for rational allocation of pharmacy resources in hospitals. Methods: Data envelopment analysis (DEA) was used as the input factor for pharmacy personnel, facilities and equipment, actual area of utilization and development and construction funding, and drugs were charged, clinical pharmacy services, pharmacy information services, academic achievements and scientific research activities Out factors to evaluate the production efficiency of pharmacy departments in 71 military hospitals and decompose the evaluation results under different economic conditions to evaluate the scale efficiency, factor disposal efficiency and pure technical efficiency of all departments.Results: Data envelopment analysis The relative efficiency of pharmacy departments in 28 hospitals was 1, and DEA was effective. The relative efficiencies of pharmacies in 43 hospitals were less than 1, and there was a loss of efficiency in input factors. Multivariate linear regression analysis showed that the levels of hospital preparation, hospital beds, clinical pharmacists Of the time, the rate of new staff, bachelor degree or above pharmaceutical professional and technical personnel ratio, the rate of use of beds and other factors related to five output factors, and establish five multiple linear regression equations; Pearsonχ2 test showed that the scale efficiency, factor disposal efficiency And pharmacies that are relatively ineffective with purely technical efficiency have poor distribution among different levels of hospital organization There was statistically significant difference in the distribution of pharmacy departments in different regions with statistical significance, efficiency of factor disposal and relatively ineffectiveness of pure technology. Pear-son two-two correlation analysis showed that the relative efficiency of DEA in pharmacy was related to hospital grade, The region and city has nothing to do. Conclusion: The level of establishment of military hospitals and the resulting effective allocation of resources and technical strength may be key factors in the pharmacy’s effectiveness.