这项研究(试验中的测量反应)旨在就如何在改善健康的干预措施的随机对照试验中最大程度地减少测量反应性(MR)的偏倚提出建议。
MERIT研究包括:(1)一项最新的系统评价,检查测量参与者是否对参与者的健康相关行为有影响,相对于无测量控制,和三项快速审查以确定:(i)关于MR的现有指南;(ii)对量化测量对行为或情感结果的影响的研究的现有系统审查;(iii)调查行为客观测量对健康相关行为的影响的研究;(2)Delphi研究以确定建议的范围;(3)2018年10月举行的专家研讨会,讨论分组中的潜在建议。
专家组提出了十四条建议:(1)确定偏倚是否可能成为试验的问题;(2)决定是否收集有关偏倚是否可能成为问题的数据;(3)设计试验以最大程度地减少偏倚的可能性。
这些建议提高了人们对如何以及在何处进行测量会在试验中产生偏差的认识。因此有助于试验设计。
This study (MEasurement Reactions In Trials) aimed to produce recommendations on how best to minimize bias from measurement reactivity (MR) in randomized controlled trials of interventions to improve health.
The MERIT study consisted of: (1) an updated systematic review that examined whether measuring participants had effects on participants\' health-related behaviors, relative to no-measurement controls, and three rapid reviews to identify: (i) existing guidance on MR; (ii) existing systematic reviews of studies that have quantified the effects of measurement on behavioral or affective outcomes; and (iii) studies that have investigated the effects of objective measurements of behavior on health-related behavior; (2) a Delphi study to identify the scope of the recommendations; and (3) an expert workshop in October 2018 to discuss potential recommendations in groups.
Fourteen recommendations were produced by the expert group to: (1) identify whether bias is likely to be a problem for a trial; (2) decide whether to collect data about whether bias is likely to be a problem; (3) design trials to minimize the likelihood of this bias.
These recommendations raise awareness of how and where taking measurements can produce bias in trials, and are thus helpful for trial design.