ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. (12th October 2016)

• Record Type: Journal Article
• Authors: Sterne, Jonathan AC; Hernán, Miguel A; Reeves, Barnaby C; Savović, Jelena; Berkman, Nancy D; Viswanathan, Meera; Henry, David; Altman, Douglas G; Ansari, Mohammed T; Boutron, Isabelle; Carpenter, James R; Chan, An-Wen; Churchill, Rachel; Deeks, Jonathan J; Hróbjartsson, Asbjørn; Kirkham, Jamie; Jüni, Peter; Loke, Yoon K; Pigott, Theresa D; Ramsay, Craig R; Regidor, Deborah; Rothstein, Hannah R; Sandhu, Lakhbir; Santaguida, Pasqualina L; Schünemann, Holger J; Shea, Beverly; Shrier, Ian; Tugwell, Peter; Turner, Lucy; Valentine, Jeffrey C; Waddington, Hugh; Waters, Elizabeth; Wells, George A; Whiting, Penny F; Higgins, Julian PT;
• Is Part Of: BMJ. Volume 355(2016)
• Publication Date: 2016-10-12
• Subjects: Medicine -- Periodicals; Medicine -- Periodicals; Medicine; Periodicals; 610
• DOI: 10.1136/bmj.i4919
• Languages: English
• ISSNs: 0007-1447

Abstract

Abstract : Non-randomised studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I ("Risk Of Bias In Non-randomised Studies - of Interventions"), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomisation to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomised studies.