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电子传递处方反馈和决策支持对初级保健中呼吸道疾病抗生素使用的有效性和安全性:RE- DUCE 集群随机试验。

Effectiveness and safety of electronically delivered prescribing feedback and decision support on antibiotic use for respiratory illness in primary care: REDUCE cluster randomised trial.

机构信息

School of Population Health and Environmental Sciences, King's College London, Guy's Campus, King's College London, London, UK

NIHR Biomedical Research Centre at Guy's and St Thomas' Hospitals London, London, UK.

出版信息

BMJ. 2019 Feb 12;364:l236. doi: 10.1136/bmj.l236.

Abstract

OBJECTIVES

To evaluate the effectiveness and safety at population scale of electronically delivered prescribing feedback and decision support interventions at reducing antibiotic prescribing for self limiting respiratory tract infections.

DESIGN

Open label, two arm, cluster randomised controlled trial.

SETTING

UK general practices in the Clinical Practice Research Datalink, randomised between 11 November 2015 and 9 August 2016, with final follow-up on 9 August 2017.

PARTICIPANTS

79 general practices (582 675 patient years) randomised (1:1) to antimicrobial stewardship (AMS) intervention or usual care.

INTERVENTIONS

AMS intervention comprised a brief training webinar, automated monthly feedback reports of antibiotic prescribing, and electronic decision support tools to inform appropriate prescribing over 12 months. Intervention components were delivered electronically, supported by a local practice champion nominated for the trial.

MAIN OUTCOME MEASURES

Primary outcome was the rate of antibiotic prescriptions for respiratory tract infections from electronic health records. Serious bacterial complications were evaluated for safety. Analysis was by Poisson regression with general practice as a random effect, adjusting for covariates. Prespecified subgroup analyses by age group were reported.

RESULTS

The trial included 41 AMS practices (323 155 patient years) and 38 usual care practices (259 520 patient years). Unadjusted and adjusted rate ratios for antibiotic prescribing were 0.89 (95% confidence interval 0.68 to 1.16) and 0.88 (0.78 to 0.99, P=0.04), respectively, with prescribing rates of 98.7 per 1000 patient years for AMS (31 907 prescriptions) and 107.6 per 1000 patient years for usual care (27 923 prescriptions). Antibiotic prescribing was reduced most in adults aged 15-84 years (adjusted rate ratio 0.84, 95% confidence interval 0.75 to 0.95), with one antibiotic prescription per year avoided for every 62 patients (95% confidence interval 40 to 200). There was no evidence of effect for children younger than 15 years (adjusted rate ratio 0.96, 95% confidence interval 0.82 to 1.12) or people aged 85 years and older (0.97, 0.79 to 1.18); there was also no evidence of an increase in serious bacterial complications (0.92, 0.74 to 1.13).

CONCLUSIONS

Electronically delivered interventions, integrated into practice workflow, result in moderate reductions of antibiotic prescribing for respiratory tract infections in adults, which are likely to be of importance for public health. Antibiotic prescribing to very young or old patients requires further evaluation.

TRIAL REGISTRATION

ISRCTN95232781.

摘要

目的

评估在人群层面上,通过电子方式提供处方反馈和决策支持干预措施,减少自我限制的呼吸道感染抗生素处方的有效性和安全性。

设计

开放标签、两臂、群组随机对照试验。

地点

英国临床实践研究数据链中的普通诊所,于 2015 年 11 月 11 日至 2016 年 8 月 9 日之间随机分组,最终随访时间为 2017 年 8 月 9 日。

参与者

79 家普通诊所(582675 患者年)随机(1:1)分为抗菌药物管理(AMS)干预组或常规护理组。

干预措施

AMS 干预措施包括一次简短的培训网络研讨会、每月自动反馈抗生素处方情况的报告,以及在 12 个月内提供电子决策支持工具以告知合理处方。干预组件通过电子方式提供,并由为试验指定的当地实践冠军提供支持。

主要观察指标

主要结局指标是电子健康记录中呼吸道感染抗生素处方的比率。对严重细菌并发症进行了安全性评估。分析采用泊松回归,以一般实践为随机效应,调整了协变量。报告了按年龄组进行的预设亚组分析。

结果

试验包括 41 家 AMS 实践(323155 患者年)和 38 家常规护理实践(259520 患者年)。未调整和调整后的抗生素处方率比值分别为 0.89(95%置信区间 0.68 至 1.16)和 0.88(0.78 至 0.99,P=0.04),相应的处方率为 AMS 组为每 1000 患者年 98.7 例(31907 例处方),常规护理组为每 1000 患者年 107.6 例(27923 例处方)。抗生素处方在 15-84 岁的成年人中减少最多(调整后的比率比 0.84,95%置信区间 0.75 至 0.95),每 62 名患者可避免一年一次的抗生素处方(95%置信区间 40 至 200)。在 15 岁以下的儿童(调整后的比率比 0.96,95%置信区间 0.82 至 1.12)或 85 岁及以上的人群中,没有证据表明存在效果(0.97,0.79 至 1.18);也没有证据表明严重细菌并发症的增加(0.92,0.74 至 1.13)。

结论

通过电子方式提供的干预措施,整合到实践工作流程中,可使成年人治疗呼吸道感染的抗生素处方适度减少,这可能对公共卫生具有重要意义。对非常年轻或年老的患者使用抗生素需要进一步评估。

试验注册

ISRCTN95232781。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9bd0/6371944/70aa3ebae778/gulm047010.va.jpg

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