Lacombe K, Cariou S, Tilleul P, Offenstadt G, Meynard J L
Infectious and Tropical Diseases Department, Saint-Antoine Hospital AP-HP, 184 rue du Faubourg Saint-Antoine, 75012 Paris, France.
Eur J Clin Microbiol Infect Dis. 2005 Jan;24(1):6-11. doi: 10.1007/s10096-004-1246-x.
Fluoroquinolone (FQ) utilization should be optimized, with the aim of controlling both multidrug-resistant bacteria and costs. In the present study, the appropriateness of FQ prescriptions for urinary tract infections (UTIs) before and after an educational intervention was examined prospectively. FQ-prescribing physicians received oral and written guidelines between the two phases of the study. All patients admitted to Saint-Antoine University Hospital (Paris) and treated with FQs for UTIs during the study period were included. The main outcome measures of the appropriateness of FQ prescriptions were based on the principles of Antibiotic Utilization Review. The study involved 127 patients. The main prescribing errors before the intervention were wrong routes of administration and failure to take into account antibiotic susceptibility results. The rate of erroneous prescriptions fell by 74.4% after intervention. About 71% of the improvement can be attributed to the intervention (71.4%; 95% confidence interval, 39.3-86.8). The intervention had an overall positive impact on FQ prescription quality. The decrease in inappropriate prescriptions was due mainly to the use of antibiotic susceptibility results (23% vs. 11.5%, P<0.05) and better consideration of indications (18.9% vs. 3.8%; P<0.05). Future educational interventions will cover other indications and will take into account costs and local antimicrobial susceptibility patterns.
应优化氟喹诺酮(FQ)的使用,以控制多重耐药菌并降低成本。在本研究中,前瞻性地考察了教育干预前后FQ用于治疗尿路感染(UTI)的处方合理性。在研究的两个阶段之间,为开具FQ处方的医生提供了口头和书面指南。纳入了在研究期间入住圣安托万大学医院(巴黎)并接受FQ治疗UTI的所有患者。FQ处方合理性的主要结局指标基于抗生素使用评估原则。该研究涉及127名患者。干预前主要的处方错误是给药途径错误和未考虑抗生素敏感性结果。干预后错误处方率下降了74.4%。约71%的改善可归因于干预(71.4%;95%置信区间,39.3 - 86.8)。该干预对FQ处方质量产生了总体积极影响。不适当处方的减少主要归因于抗生素敏感性结果的使用(23%对11.5%,P<0.05)以及对适应证的更好考虑(18.9%对3.8%;P<0.05)。未来的教育干预将涵盖其他适应证,并会考虑成本和当地的抗菌药物敏感性模式。