摘要
目的探讨本院普外科围术期预防应用抗菌药物的临床效果,提升本院普外科围手术期预防应用抗菌药物的质量。方法本院于2012年1月起采取措施干预普外科围术期预防应用抗菌药物,随机抽取2010年(对照组)和2013年(观察组)普外科围术期预防应用抗菌药物患者各100例,回顾性分析其围术期预防应用抗菌药物情况。结果观察组患者抗菌药物费用以及住院总费用明显低于对照组,差异有统计学意义(P<0.05);观察组患者住院时间略低于对照组,差异无统计学意义(P>0.05);观察组预防用药选择、预防用药时机及预防用药疗程合理性明显优于对照组,差异有统计学意义(P<0.05);观察组用法用量合理性与对照组差异无统计学意义(P>0.05);观察组无指征联合用药、无依据换药比例明显低于对照组,差异有统计学意义(P<0.05)。结论采取干预措施可以在降低抗菌药物费用而不影响患者预后的基础上,提升围术期预防应用抗菌药物的合理性,减少无指征联合用药、无依据换药事件发生率。
Objective To study the clinical effect of antibiotics in perioperative prophylactic of general surgery,and to improve the quality of the schemes of antibiotics in the hospital.Methods The measures was taken to intervene in general surgery perioperative prophylactic using antimicrobial drugs since January 2012.The case were randomly selected in 2010 (the control group) and 2013 year(observation group),and the effect of antimicrobial drugs for each patient retrospectively analyzed in general surgery.Results The antimicrobial drug costs and total cost of hospitalization of the observation group was significantly lower than the control group,and the difference was a statisticaly significance(P〈0.05).The effect of the antimicrobial drug in the observation group was better than the control group,and the difference was a statisticaly significance(P〈0.05).Dosage was no rationality significant difference between observation group and control group(P〉0.05).No indication of combination therapy and no basis dressing of the observation group was significantly lower than the control group,and the difference was a statisticaly significance(P〈0.05).Conclusion Ntervention can reduce the antibacterial drug cost without affecting the prognosis of patients with ascending perioperative prevention on the basis of the rationality of the use of antibacterial drugs,reduce indications combination,on the basis of switching eents.
出处
《中国药物经济学》
2014年第7期22-23,共2页
China Journal of Pharmaceutical Economics
基金
2011年广东省科技项目(编号:2011B031700005)
关键词
普外科
围术期预防应用
抗菌药物
临床疗效分析
General surgery
Perioperative preventive application
Antimicrobial agents
Clinical curative efect analysis