碳青霉烯类药物信息化专档管理及干预效果

Information system-based file management of carbapenems and effects of interventions

  • 摘要: 目的 研究碳青霉烯类药物信息化专档管理效果,为临床提供借鉴。方法 收集2016年7月-2019年6月江苏省人民医院全院出院患者碳青霉烯类药物的数据,根据碳青霉烯类药物的信息化管理内涵不同将其分成三个阶段,其中2016年7月-2017年6月为第一阶段,2017年7月-2018年6月为第二阶段,2018年7月-2019年6月为第三阶段,从碳青霉烯类药物使用前病原菌送检率、使用率、在抗菌药物使用中占比、使用频数(即累计DDD数,Defined daily doses,DDDs)、使用强度(Antibiotics use density,AUD)、处方合理率及不合理原因等方面进行分析。结果 第一、二、三阶段的送检率分别为85.47%(3 972/4 647)、89.36%(4 676/5 233)、98.56%(4 526/4 592)呈逐年升高趋势(P<0.001);碳青霉烯类药物使用率分别为3.24%(4 647/143 344)、3.38%(5 233/154 884)、2.55%(4 592/180 860)和在抗菌药物使用中占比分别为10.94%(4 647/42 493)、11.76%(5 233/44 503)、9.47%(4 592/48 471)总体呈下降趋势(P均<0.001);第二阶段的DDDs(41 221.75)和AUD(3.17)均较第一阶段(43 151.5,3.51)略有下降(P=0.628,0.711),第三阶段(55 208.38,3.80)较第一阶段(P=0.001,0.263)、第二阶段(P=0.376,0.077)均有所增加;碳青霉烯类药物消耗量第一阶段以亚胺培南(67.10%)为最多,第二(42.88%)和第三阶段(38.30%)则以美罗培南为主;三个阶段碳青霉烯类药物处方合理率分别为20.00%、38.64%、95.23%,逐年升高(P均<0.05);第三阶段的不合格处方原因中适应证、会诊权限、病原学及疗效评估占比下降,给药方案的原因占比增加,差异均有统计学差异(P均<0.001);三个阶段肺炎克雷伯菌及鲍氏不动杆菌对碳青霉烯类耐药率呈增长趋势(P均<0.001),大肠埃希菌和铜绿假单胞菌对碳青霉烯类耐药率相对比较稳定。结论 碳青霉烯类药物信息化专档管理平台在促进碳青霉烯类药物的合理使用上发挥了作用,但仍需进一步完善。

     

    Abstract: OBJECTIVE To study the effect of information-based files management on carbapenems, so as to provide reference for clinic.METHODS Data about carbapenems of discharged patients were collected from Jul. 2016 to Jun. 2019 in Jiangsu province people’s hospital. All the collected data were divided into three stages according to information management connotation on carbapenems, including the first stage from July Jul. 2016 to Jun. 2017, the second phase from Jul. 2017 to Jun. 2018, and the third phase from Jul. 2018 to Jun. 2019. Data in terms of pathogen inspection rate before using carbapenems, utilization rate, proportions, usage frequency(namely the cumulative number of DDD, Defined daily doses, DDDs), usage intensity(Antibiotics Use Density, AUD), and prescription efficiency and and unreasonable reasons were analyzed.RESULTS The inspection rates of the first, second and third stages were 85.47%(3 972/4 647), 89.36%(4 676/5 233) and 98.56%(4 526/4 592), respectively, exhibiting an increasing trend year by year(P<0.001). The utilization rates of carbapenems were 3.24%(4 647/143 344), 3.38%(5 233/154 884), and 2.55%(4 592/180 860), respectively, and the proptions were10.94%(4 647/42 493), 11.76%(5 233/44 503) and 9.47%(4 592/48 471), respectively, exhibiting and decreased trends. DDDs(41 221.75) and AUD(3.17) in second stage were slightly lower than those in first stage(43 151.5 3.51),(P=0.628, 0.711),whereas those in third stage(55 208.38 3.80) was slightly increased compared with those in first stage(P=0.001, 0.263), second stage(P=0.376, 0.077). Imipenem(67.10%) was the highest consumption carbapenems in first stage, meropenem was the most consumed carbapenems in second(42.88%) and third stage(38.30%). The prescription rationality rate of carbapenems in three stages was 20.00%, 38.64% and 95.23%, respectively, showing an increasing trend year by year(all P<0.05). Among all the reasons of nonconformity in third stage, the proportion of indications, consultation authority, etiology and efficacy evaluation were decreased, the proportion of drug administration reasons was increased, with significant differences(P<0.001). The drug resistance rate of Klebsiella pneumoniae and Acinetobacter baumannii to carbapenems showed an increasing trend(all P<0.001), and the drug resistance rate of Escherichia coli and Pseudomonas aeruginosa to carbapenems was relatively stable in all three stages.CONCLUSION The information management platform of carbapenems has played a significant role in promoting the rational use of carbapenems, but it still needs to be further improved.

     

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