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基于全科医学研究数据库的整群随机对照试验:1. 电子决策支持减少初级保健中的抗生素处方 (eCRT 研究)。

Cluster randomised trial in the General Practice Research Database: 1. Electronic decision support to reduce antibiotic prescribing in primary care (eCRT study).

机构信息

Primary Care and Public Health Sciences, King's College London, UK.

出版信息

Trials. 2011 May 10;12:115. doi: 10.1186/1745-6215-12-115.

Abstract

BACKGROUND

The purpose of this research is to develop and evaluate methods for conducting cluster randomised trials in a primary care database that contains electronic patient records for large numbers of family practices. Cluster randomised trials are trials in which the units allocated represent groups of individuals, in this case family practices and their registered patients. Cluster randomised trials often suffer from the limitation that they include too few clusters, leading to problems of insufficient power and only imprecise estimation of the intraclass correlation coefficient, a key design parameter. This difficulty might be overcome by utilising databases that already hold electronic patient records for large numbers of practices. The protocol describes one application: a study of antibiotic prescribing for acute respiratory infection; a second protocol outlines an intervention in a less frequent chronic condition of public health importance, stroke.

METHODS/DESIGN: The objective of the study is to implement a cluster randomised trial to test the effectiveness of an electronic record-based intervention at achieving a reduction in antibiotic prescribing at consultations for respiratory illness in patients aged 18 and 59 years old in intervention family practices as compared with controls. Family practices will be recruited from the practices that presently contribute data to the UK General Practice Research Database (GPRD). Following randomisation, electronic prompts will be installed remotely at intervention practices to promote adherence with evidence-based standards of medical practice. The intervention was developed through qualitative research at non-intervention practices. Data for outcome assessment will be obtained from anonymised electronic patient records that are routinely collected into GPRD. This protocol outlines the proposed study designs, data sources, sample size requirements, analysis methods and dissemination plans. Ethical issues are also discussed.

DISCUSSION

Results from this study will provide methodological evidence concerning the use of electronic patient records and databases for implementing cluster randomised trials in primary care. The study will also provide substantive findings in respect of electronic record-based interventions to reduce antibiotic prescribing in primary care.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN 47558792.

摘要

背景

本研究旨在开发和评估在包含大量家庭实践电子患者记录的初级保健数据库中进行集群随机试验的方法。集群随机试验是指将单位分配代表个体群体的试验,在这种情况下是家庭实践及其注册患者。集群随机试验常常受到限制,即它们包含的簇太少,导致功率不足和仅对关键设计参数——组内相关系数进行不精确估计的问题。这一困难可以通过利用已经为大量实践保存电子患者记录的数据库来克服。该方案描述了一种应用:一项针对急性呼吸道感染抗生素处方的研究;另一个方案概述了在公共卫生重要的较少发生的慢性疾病(中风)中的干预措施。

方法/设计:该研究的目的是实施一项集群随机试验,以测试基于电子记录的干预措施在降低 18 至 59 岁患者因呼吸道疾病就诊时抗生素处方的效果,干预家庭实践与对照组相比。家庭实践将从目前向英国一般实践研究数据库(GPRD)提供数据的实践中招募。随机分组后,将远程在干预实践中安装电子提示,以促进遵守基于证据的医疗实践标准。干预措施是通过非干预实践的定性研究开发的。用于评估结果的数据将从常规收集到 GPRD 的匿名电子患者记录中获得。该方案概述了拟议的研究设计、数据来源、样本量要求、分析方法和传播计划。还讨论了伦理问题。

讨论

这项研究的结果将为在初级保健中使用电子患者记录和数据库实施集群随机试验提供方法学证据。该研究还将提供关于基于电子记录的干预措施以减少初级保健中抗生素处方的实质性发现。

试验注册

当前对照试验 ISRCTN47558792。

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