WEI Xiaoli, YU Dan. Comparison in unreasonable medical orders and drug intervention before and after application of pharmacy intravenous admixture services[J]. Journal of Clinical Medicine in Practice, 2022, 26(7): 36-38. DOI: 10.7619/jcmp.20214917
Citation: WEI Xiaoli, YU Dan. Comparison in unreasonable medical orders and drug intervention before and after application of pharmacy intravenous admixture services[J]. Journal of Clinical Medicine in Practice, 2022, 26(7): 36-38. DOI: 10.7619/jcmp.20214917

Comparison in unreasonable medical orders and drug intervention before and after application of pharmacy intravenous admixture services

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  • Received Date: December 13, 2021
  • Available Online: April 14, 2022
  • Published Date: April 14, 2022
  •   Objective  To compare the situation of unreasonable medical orders before and after the application of pharmacy intravenous admixture services (PIVAS) by retrospective analysis method, and to explore the drug interventions.
      Methods  A total of 36 382 intravenous transfusion orders before application of PIVAS from April to June 2021 were selected as control group, and 26 156 intravenous infusion orders verified by pharmacists after application of PIVAS from July to September 2021 were selected as experimental group. Retrospective statistics and analysis were used to analyze unreasonable medical orders.
      Results  Before application of PIVAS, there were 3 118 unreasonable medical orders, and the unreasonable rate of medical orders was 8.57%; after application of PIVAS, there were 186 unreasonable medical orders, and the unreasonable rate of medical orders was 0.71%. The main reasons for unreasonable medical orders were inappropriate solvent selection, inappropriate drug concentration, inappropriate dosage, inappropriate drug frequency and inappropriate compatibility.
      Conclusion  After the application of PIVAS, the pharmacists review the medical orders and take effective measures to intervene the unreasonable medical orders, and the proportion of unreasonable drug use is significantly reduced, which provide data support for the application of PIVAS mode.
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