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改善医院住院患者抗生素处方行为的干预措施。

Interventions to improve antibiotic prescribing practices for hospital inpatients.

作者信息

Davey Peter, Marwick Charis A, Scott Claire L, Charani Esmita, McNeil Kirsty, Brown Erwin, Gould Ian M, Ramsay Craig R, Michie Susan

机构信息

Population Health Sciences, University of Dundee, Mackenzie Building, Kirsty Semple Way, Dundee, Scotland, UK, DD2 4BF.

Population Health Sciences Division, Medical Research Institute, University of Dundee, Dundee, UK.

出版信息

Cochrane Database Syst Rev. 2017 Feb 9;2(2):CD003543. doi: 10.1002/14651858.CD003543.pub4.


DOI:10.1002/14651858.CD003543.pub4
PMID:28178770
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6464541/
Abstract

BACKGROUND: Antibiotic resistance is a major public health problem. Infections caused by multidrug-resistant bacteria are associated with prolonged hospital stay and death compared with infections caused by susceptible bacteria. Appropriate antibiotic use in hospitals should ensure effective treatment of patients with infection and reduce unnecessary prescriptions. We updated this systematic review to evaluate the impact of interventions to improve antibiotic prescribing to hospital inpatients. OBJECTIVES: To estimate the effectiveness and safety of interventions to improve antibiotic prescribing to hospital inpatients and to investigate the effect of two intervention functions: restriction and enablement. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (the Cochrane Library), MEDLINE, and Embase. We searched for additional studies using the bibliographies of included articles and personal files. The last search from which records were evaluated and any studies identified incorporated into the review was January 2015. SELECTION CRITERIA: We included randomised controlled trials (RCTs) and non-randomised studies (NRS). We included three non-randomised study designs to measure behavioural and clinical outcomes and analyse variation in the effects: non- randomised trials (NRT), controlled before-after (CBA) studies and interrupted time series (ITS) studies. For this update we also included three additional NRS designs (case control, cohort, and qualitative studies) to identify unintended consequences. Interventions included any professional or structural interventions as defined by the Cochrane Effective Practice and Organisation of Care Group. We defined restriction as 'using rules to reduce the opportunity to engage in the target behaviour (or increase the target behaviour by reducing the opportunity to engage in competing behaviours)'. We defined enablement as 'increasing means/reducing barriers to increase capability or opportunity'. The main comparison was between intervention and no intervention. DATA COLLECTION AND ANALYSIS: Two review authors extracted data and assessed study risk of bias. We performed meta-analysis and meta-regression of RCTs and meta-regression of ITS studies. We classified behaviour change functions for all interventions in the review, including those studies in the previously published versions. We analysed dichotomous data with a risk difference (RD). We assessed certainty of evidence with GRADE criteria. MAIN RESULTS: This review includes 221 studies (58 RCTs, and 163 NRS). Most studies were from North America (96) or Europe (87). The remaining studies were from Asia (19), South America (8), Australia (8), and the East Asia (3). Although 62% of RCTs were at a high risk of bias, the results for the main review outcomes were similar when we restricted the analysis to studies at low risk of bias.More hospital inpatients were treated according to antibiotic prescribing policy with the intervention compared with no intervention based on 29 RCTs of predominantly enablement interventions (RD 15%, 95% confidence interval (CI) 14% to 16%; 23,394 participants; high-certainty evidence). This represents an increase from 43% to 58% .There were high levels of heterogeneity of effect size but the direction consistently favoured intervention.The duration of antibiotic treatment decreased by 1.95 days (95% CI 2.22 to 1.67; 14 RCTs; 3318 participants; high-certainty evidence) from 11.0 days. Information from non-randomised studies showed interventions to be associated with improvement in prescribing according to antibiotic policy in routine clinical practice, with 70% of interventions being hospital-wide compared with 31% for RCTs. The risk of death was similar between intervention and control groups (11% in both arms), indicating that antibiotic use can likely be reduced without adversely affecting mortality (RD 0%, 95% CI -1% to 0%; 28 RCTs; 15,827 participants; moderate-certainty evidence). Antibiotic stewardship interventions probably reduce length of stay by 1.12 days (95% CI 0.7 to 1.54 days; 15 RCTs; 3834 participants; moderate-certainty evidence). One RCT and six NRS raised concerns that restrictive interventions may lead to delay in treatment and negative professional culture because of breakdown in communication and trust between infection specialists and clinical teams (low-certainty evidence).Both enablement and restriction were independently associated with increased compliance with antibiotic policies, and enablement enhanced the effect of restrictive interventions (high-certainty evidence). Enabling interventions that included feedback were probably more effective than those that did not (moderate-certainty evidence).There was very low-certainty evidence about the effect of the interventions on reducing Clostridium difficile infections (median -48.6%, interquartile range -80.7% to -19.2%; 7 studies). This was also the case for resistant gram-negative bacteria (median -12.9%, interquartile range -35.3% to 25.2%; 11 studies) and resistant gram-positive bacteria (median -19.3%, interquartile range -50.1% to +23.1%; 9 studies). There was too much variance in microbial outcomes to reliably assess the effect of change in antibiotic use. Heterogeneity of intervention effect on prescribing outcomesWe analysed effect modifiers in 29 RCTs and 91 ITS studies. Enablement and restriction were independently associated with a larger effect size (high-certainty evidence). Feedback was included in 4 (17%) of 23 RCTs and 20 (47%) of 43 ITS studies of enabling interventions and was associated with greater intervention effect. Enablement was included in 13 (45%) of 29 ITS studies with restrictive interventions and enhanced intervention effect. AUTHORS' CONCLUSIONS: We found high-certainty evidence that interventions are effective in increasing compliance with antibiotic policy and reducing duration of antibiotic treatment. Lower use of antibiotics probably does not increase mortality and likely reduces length of stay. Additional trials comparing antibiotic stewardship with no intervention are unlikely to change our conclusions. Enablement consistently increased the effect of interventions, including those with a restrictive component. Although feedback further increased intervention effect, it was used in only a minority of enabling interventions. Interventions were successful in safely reducing unnecessary antibiotic use in hospitals, despite the fact that the majority did not use the most effective behaviour change techniques. Consequently, effective dissemination of our findings could have considerable health service and policy impact. Future research should instead focus on targeting treatment and assessing other measures of patient safety, assess different stewardship interventions, and explore the barriers and facilitators to implementation. More research is required on unintended consequences of restrictive interventions.

摘要

背景:抗生素耐药性是一个重大的公共卫生问题。与敏感菌引起的感染相比,多重耐药菌引起的感染与住院时间延长和死亡相关。医院合理使用抗生素应确保有效治疗感染患者并减少不必要的处方。我们更新了这项系统评价,以评估改善医院住院患者抗生素处方的干预措施的影响。 目的:评估改善医院住院患者抗生素处方的干预措施的有效性和安全性,并研究两种干预功能(限制和促进)的效果。 检索方法:我们检索了Cochrane对照试验中心注册库(CENTRAL)(Cochrane图书馆)、MEDLINE和Embase。我们使用纳入文章的参考文献和个人档案搜索其他研究。最后一次评估记录并将任何识别出的研究纳入评价的检索时间为2015年1月。 选择标准:我们纳入了随机对照试验(RCT)和非随机研究(NRS)。我们纳入了三种非随机研究设计来测量行为和临床结果并分析效果差异:非随机试验(NRT)、前后对照(CBA)研究和中断时间序列(ITS)研究。在本次更新中,我们还纳入了另外三种非随机研究设计(病例对照、队列和定性研究)以识别意外后果。干预措施包括Cochrane有效实践与护理组织小组定义的任何专业或结构性干预措施。我们将限制定义为“使用规则减少从事目标行为的机会(或通过减少从事竞争行为的机会来增加目标行为)”。我们将促进定义为“增加手段/减少障碍以提高能力或机会”。主要比较是干预与无干预之间的比较。 数据收集与分析:两位评价作者提取数据并评估研究的偏倚风险。我们对RCT进行了Meta分析和Meta回归,对ITS研究进行了Meta回归。我们对评价中的所有干预措施,包括先前发表版本中的研究,进行了行为改变功能分类。我们使用风险差值(RD)分析二分数据。我们使用GRADE标准评估证据的确定性。 主要结果:本评价纳入了221项研究(58项RCT和163项NRS)。大多数研究来自北美(96项)或欧洲(87项)。其余研究来自亚洲(19项)、南美洲(8项)、澳大利亚(8项)和东亚(3项)。尽管62%的RCT存在高偏倚风险,但当我们将分析限制在低偏倚风险的研究时,主要评价结果相似。与无干预相比,基于29项主要为促进干预措施的RCT,更多住院患者按照抗生素处方政策接受治疗(RD 15%,95%置信区间(CI)14%至16%;23394名参与者;高确定性证据)。这表示从43%增加到58%。效应大小存在高度异质性,但方向始终有利于干预。抗生素治疗持续时间从11.0天减少了1.95天(95%CI 2.22至1.67;14项RCT;3318名参与者;高确定性证据)。非随机研究的信息表明,干预措施与常规临床实践中根据抗生素政策改善处方相关,70%的干预措施是全院范围的,而RCT为31%。干预组和对照组的死亡风险相似(两组均为11%),表明抗生素使用可能减少而不会对死亡率产生不利影响(RD 0%,95%CI -1%至0%;28项RCT;15827名参与者;中等确定性证据)。抗生素管理干预措施可能使住院时间缩短1.12天(95%CI 0.7至1.54天;15项RCT;3834名参与者;中等确定性证据)。一项RCT和六项NRS引发了担忧,即由于感染专科医生与临床团队之间的沟通和信任破裂,限制性干预措施可能导致治疗延迟和负面的专业文化(低确定性证据)。促进和限制均与抗生素政策依从性增加独立相关,且促进增强了限制性干预措施的效果(高确定性证据)。包含反馈的促进干预措施可能比不包含反馈的更有效(中等确定性证据)。关于干预措施对减少艰难梭菌感染的效果,证据确定性非常低(中位数-48.6%,四分位间距-80.7%至-19.2%;7项研究)。对于革兰氏阴性耐药菌(中位数-12.9%,四分位间距-35.3%至25.2%;11项研究)和革兰氏阳性耐药菌(中位数-19.3%,四分位间距-50.1%至+23.1%;9项研究)也是如此。微生物学结果差异太大,无法可靠评估抗生素使用变化的效果。干预效果对处方结果的异质性:我们分析了29项RCT和91项ITS研究中的效应修饰因素。促进和限制均与更大的效应大小独立相关(高确定性证据)。23项促进干预措施的RCT中有4项(17%)和43项ITS研究中有20项(47%)包含反馈,且与更大的干预效果相关。29项包含限制性干预措施的ITS研究中有13项(45%)包含促进,且增强了干预效果。 作者结论:我们发现高确定性证据表明,干预措施在提高抗生素政策依从性和缩短抗生素治疗持续时间方面有效。抗生素使用减少可能不会增加死亡率,且可能缩短住院时间。额外比较抗生素管理与无干预的试验不太可能改变我们的结论。促进措施始终增加干预措施的效果,包括那些具有限制性成分的措施。尽管反馈进一步增加了干预效果,但仅在少数促进干预措施中使用。干预措施成功地安全减少了医院中不必要的抗生素使用,尽管大多数措施没有使用最有效的行为改变技术。因此,有效传播我们的研究结果可能对卫生服务和政策产生重大影响。未来的研究应转而关注靶向治疗并评估患者安全的其他指标,评估不同的管理干预措施,并探索实施的障碍和促进因素。需要更多关于限制性干预措施意外后果的研究。

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