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Inter-rater reliability and validity of risk of bias instrument for non-randomized studies of exposures: a study protocol

机译:非随机曝光研究偏置仪器风险的帧间间可靠性和有效性:研究方案

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BackgroundA new tool, "risk of bias (ROB) instrument for non-randomized studies of exposures (ROB-NRSE)," was recently developed. It is important to establish consistency in its application and interpretation across review teams. In addition, it is important to understand if specialized training and guidance will improve the reliability in the results of the assessments. Therefore, the objective of this cross-sectional study is to establish the inter-rater reliability (IRR), inter-consensus reliability (ICR), and concurrent validity of the new ROB-NRSE tool. Furthermore, as this is a relatively new tool, it is important to understand the barriers to using this tool (e.g., time to conduct assessments and reach consensus-evaluator burden).MethodsReviewers from four participating centers will apprise the ROB of a sample of NRSE publications using ROB-NRSE tool in two stages. For IRR and ICR, two pairs of reviewers will assess the ROB for each NRSE publication. In the first stage, reviewers will assess the ROB without any formal guidance. In the second stage, reviewers will be provided customized training and guidance. At each stage, each pair of reviewers will resolve conflicts and arrive at a consensus. To calculate the IRR and ICR, we will use Gwet's AC(1) statistic.For concurrent validity, reviewers will appraise a sample of NRSE publications using both the Newcastle-Ottawa Scale (NOS) and ROB-NRSE tool. We will analyze the concordance between the two tools for similar domains and for the overall judgments using Kendall's tau coefficient.To measure evaluator burden, we will assess the time taken to apply ROB-NRSE tool (without and with guidance), and the NOS. To assess the impact of customized training and guidance on the evaluator burden, we will use the generalized linear models. We will use Microsoft Excel and SAS 9.4, to manage and analyze study data, respectively.DiscussionThe quality of evidence from systematic reviews that include NRSE depends partly on the study-level ROB assessments. The findings of this study will contribute to an improved understanding of ROB-NRSE and how best to use it.
机译:Backgrounda新工具,“最近开发了曝光(Rob-Nrse)非随机研究的偏置(Rob)仪器的风险,”在审查团队中建立申请和解释的一致性非常重要。此外,重要的是要了解专业培训和指导是否会提高评估结果中的可靠性。因此,这种横截面研究的目的是建立帧间可靠性(IRR),共识互补性(ICR),以及新的Rob-NRSE工具的并发有效性。此外,由于这是一个相对较新的工具,重要的是要理解使用该工具的障碍(例如,进行评估的时间并达到共识 - 评估员负担)。来自四个参与中心的方法,从四个参与中心将荣获NRSE样本的ROB使用rob-nrse工具的出版物在两个阶段。对于IRR和ICR,两对审阅者将为每个NRSE出版物评估ROB。在第一阶段,审计员将在没有任何正式指导的情况下评估抢劫。在第二阶段,将提供定制培训和指导的审核人员。在每个阶段,每对审阅人员将解决冲突并达成共识。为了计算IRR和ICR,我们将使用GWET的AC(1)统计信息。对于经常有效性,审阅者将使用纽卡斯尔 - 渥太华规模(NOS)和Rob-NRSE工具来评估NRSE出版物的样本。我们将分析两个工具与使用KENDALL的TAU系数的整体判断之间的一致性。衡量评估员负担,我们将评估应用ROB-NRSE工具(没有和指导)和NOS所采取的时间。为评估定制培训和指导对评估员负担的影响,我们将使用广义的线性模型。我们将分别使用Microsoft Excel和SAS 9.4来管理和分析学习数据。频道,系统评论的证据质量,其中包括NRSE部分依赖于研究级别的ROB评估。本研究的结果将有助于改善对Rob-Nrse的理解以及如何最好地使用它。

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