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A Unified Methodological Framework for Vestibular Schwannoma Research
Published on: June 20, 2017
A unified framework for bias assessment in clinical research
Jennifer C Stone1, Kathryn Glass, Justin Clark
11Department of Health Services Research and Policy, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia 2Department for Health Evidence, SYRCLE, Radboud University Medical Center, Nijmegen, The Netherlands 3National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory 4Centre for Research in Evidence Based Practice, Bond University, Queensland 5The Joanna Briggs Institute, The University of Adelaide, Adelaide, South Australia, Australia 6Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada 7Department of Population Medicine, College of Medicine, Qatar University, Doha, Qatar.
Abstract:
Methodological flaws, limitations, and inadequate practices in research are well known and pose threats to the internal validity of any research study. However, there are ways of safeguarding research conduct to reduce the chance of research producing distorted results. Numerous tools now exist to assess the incorporation of such safeguards into primary research studies (also known as quality and/or risk-of-bias assessment). These tools typically include a variety of items that are then checked against those implemented in the study. Despite a lot of research in this area, no comprehensive generic classification of safeguards across study designs exist, although attempts have been made to clarify aspects of this. We review the developments in this area as well as use preliminary data from 100 methodological studies to illustrate our proposed approach. We conclude by proposing a new framework for identifying research studies at risk of being biased and the information in this article will promote a unification of the diverse approaches to facilitating bias assessment in clinical research.
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