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抗生素管理干预的动力学:一项准实验研究。

The Kinetics of an Antibiotic Stewardship Intervention: A Quasi-Experimental Study.

作者信息

Shafat Tali, Shimoni Orly, Nikonov Anna, Nesher Lior

机构信息

Infectious Disease Institute, Soroka University Medical Center, Beer Sheba, Israel.

Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheba, Israel.

出版信息

Infect Dis Ther. 2021 Mar;10(1):613-619. doi: 10.1007/s40121-021-00403-z. Epub 2021 Jan 30.

Abstract

INTRODUCTION

Little is known about the kinetics and different phases of a successful antibiotic stewardship program (ASP) intervention.

METHODS

We analyzed the trends of quarterly antibiotic use measured in defined daily dose (DDD)/100 days hospitalization using the Joinpoint Regression Program and interrupted time series analysis to objectively identify shifts in the trends of antibiotic use. We correlated these changes in trends with the introduction of a hospital-wide ASP intervention.

RESULTS

The ASP intervention reduced the overall antibiotic use by 33%, from a prior steady state of 76.5 DDD/100 days hospitalization to a post-intervention steady state of 51.2 DDD/100 days hospitalization (p < 0.001). We identified four distinct phases in the trends: prior steady state (A), early intervention (B), accelerated phase (C), and post steady state (D). From A to B a change of slope (-1.46) [SE 0.37, 95% CI -2.23, -0.69 (p = 0.002)]; B to C, a further decrease of slope (-4.70) [SE 0.64, 95% CI -6.03, -3.37 (p = 0.001)]; between periods C and D, straightening out of the slope (+ 6.84) [SE 0.55, 95% CI 5.70, 7.98 (p < 0.001)] to a new post-intervention steady state. It took 1.5 years after completion of the intervention to reach the new steady state.

CONCLUSIONS

We demonstrate that ASP interventions require time to achieve the maximal effect. Successful interventions require physicians to adapt new prescribing behaviors and gain confidence in the change; this adaptation can be a prolonged process and might even take years after the introduction of the ASP. These factors should be considered when planning and implementing ASP interventions.

摘要

引言

关于成功的抗生素管理计划(ASP)干预的动力学和不同阶段,我们所知甚少。

方法

我们使用Joinpoint回归程序和中断时间序列分析,分析了以限定日剂量(DDD)/100天住院时间衡量的季度抗生素使用趋势,以客观识别抗生素使用趋势的变化。我们将这些趋势变化与全院范围的ASP干预措施的实施进行了关联。

结果

ASP干预使总体抗生素使用量减少了33%,从干预前76.5 DDD/100天住院时间的稳定状态降至干预后51.2 DDD/100天住院时间的稳定状态(p < 0.001)。我们在趋势中识别出四个不同阶段:干预前稳定状态(A)、早期干预(B)、加速阶段(C)和干预后稳定状态(D)。从A到B,斜率变化为(-1.46)[标准误0.37,95%置信区间-2.23,-0.69(p = 0.002)];从B到C,斜率进一步下降(-4.70)[标准误0.64,95%置信区间-6.03,-3.37(p = 0.001)];在C和D阶段之间,斜率趋于平缓(+6.84)[标准误0.55,95%置信区间5.70,7.98(p < 0.001)],达到新的干预后稳定状态。干预完成后需要1.5年才能达到新的稳定状态。

结论

我们证明ASP干预需要时间才能达到最大效果。成功的干预要求医生适应新的处方行为并对这种变化有信心;这种适应可能是一个漫长的过程,甚至可能在引入ASP后的数年时间里才会实现。在规划和实施ASP干预时应考虑这些因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24a2/7954991/eef51369b776/40121_2021_403_Fig1_HTML.jpg

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