Methodology State-of-the-art workshop: management of measurement reactivity in trials of interventions to improve health

方法论最先进的研讨会：改善健康干预试验中测量反应性的管理

• 批准号: MC_PC_17229
• 负责人: David French
• 金额: $ 3.15万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_PC_17229
• 关键词: Methodology; State; art; workshop; management

Measurement reactivity has been defined as being present where measurement results in changes in the people being measured. There is evidence which show that asking people to complete questionnaires can result in changes in behaviour. In addition, other types of measurement can change behaviour, specifically in medical and healthcare contexts. This workshop will examine how these changes in behaviour in response to being measured can result in bias in trials in medical and healthcare contexts. Although there is increasing study of why measurement can affect behaviour, there remains a need to increase understanding of situations where being measured could interact with the mechanisms by which healthcare interventions are supposed to produce effects. There is a lack of consensus on the situations where one would expect measurement reactivity effects to occur, and little discussion of when one would expect these measurement reactivity effects to interact with other interventions. In sum, although there is now good evidence that measurement is not an inert procedure, it has generally been ignored in discussions of how to reduce bias in trials. There is no agreed set of practices for conduct, reporting or analysis of measurements that allow these patterns of responding to be understood or controlled for.Therefore, a set of guidance statements on how best to reduce bias due to measurement reactivity in studies of interventions to improve health will be produced.

测量的反应性被定义为测量导致被测量的人发生变化的存在。有证据表明，要求人们填写问卷会导致行为的改变。此外，其他类型的测量可以改变行为，特别是在医疗和保健环境中。本研讨会将研究这些因被测量而发生的行为变化如何在医疗和保健领域的试验中导致偏倚。尽管关于测量为什么会影响行为的研究越来越多，但仍有必要增加对被测量可能与医疗干预产生效果的机制相互作用的情况的理解。对于预期发生测量反应性影响的情况缺乏共识，对于何时预期这些测量反应性影响与其他干预措施相互作用的讨论也很少。总之，尽管现在有很好的证据表明测量不是一种惰性程序，但在讨论如何减少试验中的偏见时，它通常被忽略了。没有一套商定的测量行为、报告或分析实践可以理解或控制这些反应模式。因此，将制定一套指导声明，说明如何最好地减少干预措施研究中因测量反应而产生的偏差，以改善健康。

项目成果

Bias due to MEasurement Reactions In Trials to improve health (MERIT): protocol for research to develop MRC guidance.

• DOI: 10.1186/s13063-018-3017-5
• 发表时间: 2018-11-26
• 期刊: Trials
• 影响因子: 2.5
• 作者: Miles LM;Elbourne D;Farmer A;Gulliford M;Locock L;McCambridge J;Sutton S;French DP
• 通讯作者: French DP

Additional file 1: of Bias due to MEasurement Reactions In Trials to improve health (MERIT): protocol for research to develop MRC guidance

附加文件 1：改善健康试验中测量反应引起的偏差 (MERIT)：制定 MRC 指南的研究协议

• DOI: 10.6084/m9.figshare.7386056
• 发表时间: 2018
• 作者: Miles L

Reducing bias in trials due to reactions to measurement: experts produced recommendations informed by evidence.

• DOI: 10.1016/j.jclinepi.2021.06.028
• 发表时间: 2021-11
• 期刊: Journal of clinical epidemiology
• 影响因子: 7.2
• 作者: French DP;Miles LM;Elbourne D;Farmer A;Gulliford M;Locock L;Sutton S;McCambridge J;MERIT Collaborative Group
• 通讯作者: MERIT Collaborative Group