Suppr超能文献

“电子助推试验”方案:一项关于电子反馈以降低全科医疗中个体心血管风险的随机对照试验[国际标准随机对照试验编号64828380]

Protocol for the 'e-Nudge trial': a randomised controlled trial of electronic feedback to reduce the cardiovascular risk of individuals in general practice [ISRCTN64828380].

作者信息

Holt Tim A, Thorogood Margaret, Griffiths Frances, Munday Stephen

机构信息

Health Services Research Institute, Warwick Medical School, Gibbet Hill Rd, Coventry CV4 7AL, UK.

出版信息

Trials. 2006 Apr 28;7:11. doi: 10.1186/1745-6215-7-11.

Abstract

BACKGROUND

Cardiovascular disease (including coronary heart disease and stroke) is a major cause of death and disability in the United Kingdom, and is to a large extent preventable, by lifestyle modification and drug therapy. The recent standardisation of electronic codes for cardiovascular risk variables through the United Kingdom's new General Practice contract provides an opportunity for the application of risk algorithms to identify high risk individuals. This randomised controlled trial will test the benefits of an automated system of alert messages and practice searches to identify those at highest risk of cardiovascular disease in primary care databases.

DESIGN

Patients over 50 years old in practice databases will be randomised to the intervention group that will receive the alert messages and searches, and a control group who will continue to receive usual care. In addition to those at high estimated risk, potentially high risk patients will be identified who have insufficient data to allow a risk estimate to be made. Further groups identified will be those with possible undiagnosed diabetes, based either on elevated past recorded blood glucose measurements, or an absence of recent blood glucose measurement in those with established cardiovascular disease.

OUTCOME MEASURES

The intervention will be applied for two years, and outcome data will be collected for a further year. The primary outcome measure will be the annual rate of cardiovascular events in the intervention and control arms of the study. Secondary measures include the proportion of patients at high estimated cardiovascular risk, the proportion of patients with missing data for a risk estimate, and the proportion with undefined diabetes status at the end of the trial.

摘要

背景

心血管疾病(包括冠心病和中风)是英国死亡和残疾的主要原因,在很大程度上可通过生活方式改变和药物治疗来预防。最近通过英国新的全科医生合同对心血管风险变量的电子代码进行标准化,为应用风险算法识别高危个体提供了机会。这项随机对照试验将测试一种自动警报消息和实践搜索系统在基层医疗数据库中识别心血管疾病高危人群的益处。

设计

实践数据库中50岁以上的患者将被随机分为接受警报消息和搜索的干预组以及继续接受常规护理的对照组。除了那些估计风险高的患者外,还将识别出那些数据不足无法进行风险估计的潜在高危患者。确定的其他组将是那些可能未被诊断出患有糖尿病的患者,这基于过去记录的血糖测量值升高,或者患有已确诊心血管疾病的患者近期未进行血糖测量。

结局指标

干预将应用两年,结局数据将再收集一年。主要结局指标将是研究干预组和对照组中心血管事件的年发生率。次要指标包括估计心血管风险高的患者比例、缺乏风险估计数据的患者比例以及试验结束时糖尿病状态未明确的患者比例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec73/1471804/e013b19de71b/1745-6215-7-11-1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验