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基于数据包络分析的军队医院药学部门效率评价

发布时间:2018-08-05 13:25
【摘要】: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。
[Abstract]:Objective: To evaluate the relative efficiency of pharmaceutical departments in military hospitals, and to provide a decision reference for rational allocation of pharmaceutical resources in hospitals. Methods: using data envelopment analysis (DEA), pharmaceutical personnel, facilities and equipment, actual use area, development and construction funds are the input factors, drug charge, clinical pharmacy service, pharmaceutical information service and academic achievements. Scientific research activities were used as output factors to evaluate the production efficiency of the Pharmaceutical Department of 71 military hospitals and to decompose the evaluation results under the hypothesis of different economic conditions to evaluate the efficiency of each department, the efficiency of factors disposal and the pure technical efficiency. The results of data envelopment analysis showed that the relative efficiency of the Pharmaceutical Department of the 28 hospitals was 1, DEA Effective, the relative efficiency of the Pharmaceutical Department of 43 hospitals was 1, and the input factors had the efficiency loss. The multiple linear regression analysis showed that the hospital compilation grade, the hospital bed unfolding, the clinical pharmacist's clinical time, the new rate of personnel, the proportion of pharmaceutical technical personnel with the bachelor degree or above, the use rate of the sick bed were related to the 5 output factors. 5 multiple linear regression equations were established, and the Pearson chi 2 test showed that the distribution difference of pharmaceutical department in different hospital levels was statistically significant, and the distribution difference between the pure technical efficiency and the pure technical efficiency in different areas was different. Statistical significance; Pear-son 22 correlation analysis shows that the relative efficiency value of the pharmaceutical department DEA is related to the hospital level, and is not related to the area of the hospital and the city. Conclusion: the level of military hospitals and the effective allocation of resources and technical forces from the military hospitals may be the key factors for the efficiency of the pharmaceutical department.
【作者单位】: 沈阳军区总医院北陵临床部;第二军医大学药学院药事管理学教研室;
【基金】:上海市重点学科建设项目(B907)~~
【分类号】:R82

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