| 基于多元线性回归的医院药剂科生产率影响因素分析 |
| 投稿时间：2011-09-05 修订日期：2011-09-20 点此下载全文 |
| 引用本文：霍花,栾智鹏,陈盛新.基于多元线性回归的医院药剂科生产率影响因素分析[J].药学实践杂志,2011,29(5):384~386 |
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| 中文摘要:目的 分析影响药剂科生产率的主要因素,为提高药剂科生产率提供依据。 方法 对调查的61家样本医院按床位数分组,以药剂科年人均药品收入和每百张床位年均药品收入为产出指标,以展开床位数、药剂科人数、日均发药处方(医嘱)量、医院等级、药学中级以上职称人员占药剂科人员比重等为投入指标,进行多元线性回归分析。 结果与结论 不同规模和医院等级的药剂科生产率不同,小于400床位的医院药剂科年人均药品收入为58.31万元;400~599床位的医院药剂科为104.87万元;600~799床位的医院药剂科为141.20万元;大于800床位的医院药剂科为205.00万元。对于床位数相对少的医院药剂科,增加日均发药处方(医嘱)量或减少药剂科人员,可以提高药剂科生产率;对于床位数相对多的医院药剂科,增加药学中级以上职称人员占药剂科工作人员比重或本科以上学历人员占药剂科工作人员比重,可以提高药剂科的生产率。 |
| 中文关键词:医院药剂科 药事管理 生产率 多元线性回归 |
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| Analysis of influencing factors on hospital pharmacy's productivity based-on multiple linear regression |
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| Abstract:Objective To analyze the main factors affecting productivity of pharmacy, for providing a basis to improve pharmacy productivity. Method First, 61 hospital pharmacies were divided into four groups according to the numbers of beds. Then, annual per capita income from pharmaceuticals(APCIP) and annual income from pharmaceuticals per hundred beds(AIPPHB) were detected as output indicators, and the actual beds, staffs, the quantity of daily dispensing prescription, hospital grade, the proportion of pharmacy staffs with medium technical titles or above, etc. were detected as input indicators. Last, the above data and the indicators were analyzed with multiple linear regression method. Results and Conclusion There are differences in pharmacy productivities in different hospital sizes and grades.The pharmacy APCIP in hospitals less than 400 beds is 583,100 RMB, in hospitals between 400 and 599 beds is 1,048,700 RMB, in hospitals between 600 and 799 beds is 1,412,000 RMB, and in hospitals greater than 800 beds is 2,050,000 RMB. For hospitals with a relatively small number of beds, increasing the quantity of daily dispensing prescription or reducing the amount of staffs can improve pharmacy productivities. For hospitals with a relatively large number of beds, increasing the proportion of pharmacy staffs with medium technical titles or above, or the proportion of pharmacy staffs with bachelor degree or above can improve pharmacy productivities. |
| keywords:hospital pharmacy pharmacy administration productivity multiple linear regression |
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