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开放标签、单中心、整群随机对照试验评估计算机抗菌药物管理(EPIC)对心血管手术后抗菌药物使用的潜在影响:EPIC 试验研究方案原著。

Open-label, single-centre, cluster-randomised controlled trial to Evaluate the Potential Impact of Computerisedantimicrobial stewardship (EPIC) on the antimicrobial use after cardiovascular surgeries: EPIC trial study original protocol.

机构信息

State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Beijing, China.

Department of Cardiovascular Surgery, Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.

出版信息

BMJ Open. 2020 Nov 26;10(11):e039717. doi: 10.1136/bmjopen-2020-039717.

Abstract

INTRODUCTION

Inappropriate antimicrobial use increases the prevalence of antimicrobial-resistant bacteria. Surgeons are reluctant to implement recommendations of guidelines in clinical practice. Antimicrobial stewardship (AMS) is effective in antimicrobial management, but it remains labour intensive. The computerised decision support system (CDSS) has been identified as an effective way to enable key elements of AMS in clinical settings. However, insufficient evidence is available to evaluate the efficacy of computerised AMS in surgical settings.

METHODS AND ANALYSIS

The Evaluate of the Potential Impact of Computerised AMS trial is an open-label, single-centre, two-arm, cluster-randomised, controlled trial, which aims to determine whether a multicomponent CDSS intervention reduces overall antimicrobial use after cardiovascular surgeries compared with usual clinical care in a specialty hospital with a big volume of cardiovascular surgeries. Eighteen cardiovascular surgical teams will be randomised 1:1 to either the intervention or the control arm. The intervention will consist of (1) re-evaluation alerts and decision support for the duration of antimicrobial treatment decision, (2) re-evaluation alerts and decision support for the choice of antimicrobial, (3) quality control audit and feedback. The primary outcome will be the overall systemic antimicrobial use measured in days of therapy (DOT) per admission and DOT per 1000 patient-days over the whole intervention period (6 months). Secondary outcomes include a series of indices to evaluate antimicrobial use, microbial resistance, perioperative infection outcomes, patient safety, resource consumption, and user compliance and satisfaction.

ETHICS AND DISSEMINATION

The Ethics Committee in Fuwai Hospital approved this study (2020-1329). The results of the trial will be submitted for publication in a peer-reviewed journal.

TRIAL REGISTRATION NUMBER

NCT04328090.

摘要

简介

不适当的抗菌药物使用会增加抗菌药物耐药菌的流行。外科医生不愿意在临床实践中实施指南建议。抗菌药物管理(AMS)在抗菌药物管理中是有效的,但仍然需要大量的人力。计算机化决策支持系统(CDSS)已被确定为在临床环境中实现 AMS 关键要素的有效方法。然而,目前还没有足够的证据来评估计算机化 AMS 在外科环境中的疗效。

方法和分析

计算机化 AMS 评估潜在影响试验是一项开放标签、单中心、两臂、集群随机对照试验,旨在确定在一家心血管手术量大的专科医院中,与常规临床护理相比,多组分 CDSS 干预是否能减少心血管手术后的总体抗菌药物使用。将 18 个心血管外科团队以 1:1 的比例随机分为干预组或对照组。干预措施包括(1)在整个抗菌药物治疗决策期间进行重新评估提醒和决策支持,(2)在选择抗菌药物时进行重新评估提醒和决策支持,(3)质量控制审核和反馈。主要结局是在整个干预期间(6 个月),通过入院天数(DOT)和每 1000 患者天数(DOT)衡量的总体全身性抗菌药物使用。次要结局包括一系列评估抗菌药物使用、微生物耐药性、围手术期感染结局、患者安全、资源消耗以及用户依从性和满意度的指标。

伦理和传播

阜外医院伦理委员会批准了这项研究(2020-1329)。试验结果将提交给同行评审期刊发表。

注册号

NCT04328090。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e14e/7692825/12321a1ae2a1/bmjopen-2020-039717f01.jpg

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