Asian Nurs Res.  2019 Dec;13(5):287-294. 10.1016/j.anr.2019.11.002.

Practical Guidance for Knowledge Synthesis: Scoping Review Methods

Affiliations
  • 1Implementation Science, The Joanna Briggs Institute, North Adelaide, Australia. craig.lockwood@adelaide.edu.au
  • 2School of Nursing, University Federal of Juiz de Fora, Juiz de Fora, Brazil.
  • 3The Brazilian Centre for Evidence-based Healthcare: A Joanna Briggs Centre of Excellence, S~ao Paulo, Brazil.
  • 4School of Science and Health, Western Sydney University, Sydney, Australia.

Abstract

Scoping reviews are a useful approach to synthesizing research evidence although the objectives and methods are different to that of systematic reviews, yet some confusion persists around how to plan and prepare so that a completed scoping review complies with best practice in methods and meets international standards for reporting criteria. This paper describes how to use available guidance to ensure a scoping review project meets global standards, has transparency of methods and promotes readability though the use of innovative approaches to data analysis and presentation. We address some of the common issues such as which projects are more suited to systematic reviews, how to avoid an inadequate search and/or poorly reported search strategy, poorly described methods and lack of transparency, and the issue of how to plan and present results that are clear, visually compelling and accessible to readers. Effective pre-planning, adhering to protocol and detailed consideration of how the results data will be communicated to the readership are critical. The aim of this article is to provide clarity about what is meant by conceptual clarity and how pre-planning enables review authors to produce scoping reviews which are of high quality, reliability and readily publishable.

Keyword

evidence-based practice; methods; publishing/standards; review literature as topic

MeSH Terms

Comprehension
Evidence-Based Practice
Methods*
Practice Guidelines as Topic
Review Literature as Topic
Statistics as Topic
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