批判性评价
循证医学
循证实践
系统回顾
质量(理念)
证据质量
计算机科学
过程(计算)
基础(证据)
最佳实践
梅德林
数据科学
心理学
医学
医学教育
替代医学
荟萃分析
政治学
病理
法学
哲学
操作系统
认识论
作者
Alba DiCenso,Liz Bayley,R. Brian Haynes
标识
DOI:10.1136/ebn.12.4.99-b
摘要
The application of high-quality evidence to clinical decision making requires that we know how to access that evidence. In years past, this meant literature searching know-how and application of critical appraisal skills to separate lower from higher quality clinical studies. However, over the past decade, many practical resources have been created to facilitate ready access to high-quality research. We call these resources “pre-appraised” because they have undergone a filtering process to include only those studies that are of higher quality and they are regularly updated so that the evidence we access through these resources is current.
To facilitate use of the many pre-appraised resources, Haynes proposed a “4S” model,1 which he then refined into a “5S” model.2 The 5S model begins with original single studies at the foundation, and building up from these are syntheses (systematic reviews such as Cochrane reviews), synopses (succinct descriptions of selected individual studies or systematic reviews, such as those found in the evidence-based journals), summaries , which integrate best available evidence from the lower layers to develop practice guidelines based on a full range of evidence (eg, Clinical Evidence, National Guidelines Clearinghouse), and at the peak of the model, systems, in which the individual patient’s characteristics are automatically linked to the current best evidence that matches the patient’s specific circumstances and the clinician is provided with key aspects of management (e.g., computerised decision support systems).2
When we described the 5S model to colleagues at home and abroad, some queried whether a synopsis of a single study and a synopsis of a systematic review are equivalent as indicated by their single appearance in the model. In the hierarchy of evidence, a systematic review bests a single study, so we are adding a layer to the model to distinguish the 2 types of synopses. …
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