FACTORS RELATED TO THE INTER-HOSPITALS DIFFERENCE IN THE STATES OF IMPLEMENTATION OF DRUG MANAGEMENT GUIDANCE JOBS

DOI Web Site 18 References
  • MATSUNAGA Kyoko
    Kyoto University School of Public Health, Department of Healthcare Economics and Quality Management
  • IKAI Hiroshi
    Kyoto University School of Public Health, Department of Healthcare Economics and Quality Management
  • KUNISAWA Susumu
    Kyoto University School of Public Health, Department of Healthcare Economics and Quality Management
  • OTSUBO Tetsuya
    Kyoto University School of Public Health, Department of Healthcare Economics and Quality Management
  • IMANAKA Yuichi
    Kyoto University School of Public Health, Department of Healthcare Economics and Quality Management

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Other Title
  • 薬剤管理指導業務実施状況における病院間差の関連要因
  • 薬剤管理指導業務実施状況における病院間差の関連要因 : 診療報酬請求データを活用した解析
  • ヤクザイ カンリ シドウ ギョウム ジッシ ジョウキョウ ニ オケル ビョウイン カンサ ノ カンレン ヨウイン : シンリョウ ホウシュウ セイキュウ データ オ カツヨウ シタ カイセキ
  • ——Analysis using administrative data——
  • ——診療報酬請求データを活用した解析——

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Abstract

The aim of this analysis was to specify factors that related to the differences in the states of drug management guidance jobs among hospitals using the administrative data of multiple institutions. We targeted 94 hospitals throughout Japan and used the Diagnosis Procedure Combination (DPC) data and results of a questionnaire survey. In this analysis, the state of implementation of drug management guidance jobs was expressed as an index based on the state of estimation of the fees for drug management guidance, which was converted to a value for each patient and each pharmacist, and used as the objective variable. Other jobs such as handling of sterile drugs or management of fee for specific therapeutic drug monitoring, years of experience, states of introduction of IT systems, and bed occupation rate, etc., were used as the explanatory variables, and multiple linear regression analysis was performed. The results revealed that there was a large dispersion among hospitals in the states of implementation of drug management guidance jobs and this dispersion was related to the number of hospitalized patients per pharmacist, number of outpatient medicines dispensing, and other jobs related to hospitalization. It is considered above findings will be useful when optimizing resource distribution and job designing of pharmacists, however as the coefficient of determination determined from the multiple linear regression analysis was about 0.25, the results also suggested dispersion in the performance of the pharmacy departments.

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