How should we analyse, synthesize, and interpret evidence from interrupted time series studies? Making the best use of available evidence

我们应该如何分析、综合和解释来自中断时间序列研究的证据？

• 批准号: nhmrc : GNT1145273
• 负责人: A/Pr Monica Taljaard
• 金额: $ 44.51万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 无数据
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/analyse-synthesize-interpret-available-evidence/1348680
• 关键词: How; should; analyse; synthesize; interpret

Interrupted time series (ITS) studies are frequently used to evaluate whether policy interventions are successful. The findings from these studies are often collated into systematic reviews, which are used to inform healthcare decisions by clinicians, consumers and policy makers. It is not known how the statistical methods, which underpin the findings from ITS studies, perform. This proposal will evaluate the statistical methods and provide guidance on how to analyse and interpret ITS studies.

间断时间序列（ITS）研究经常用于评估政策干预是否成功。这些研究的结果通常会整理成系统评价，用于为临床医生、消费者和政策制定者的医疗决策提供信息。目前尚不清楚支撑 ITS 研究结果的统计方法的表现如何。该提案将评估统计方法，并为如何分析和解释 ITS 研究提供指导。