JOURNAL ARTICLE

How to structure Microsoft Excel documents for systematic reviews.

  • Published In: Nurse Researcher, 2023, v. 31, n. 1. P. 40 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Godino, Lea 3 of 3

Abstract

Why you should read this article: • To appreciate the use of Microsoft Excel for systematic reviews • To increase your awareness of all the steps of a systematic review, including importing references and documents, plus documenting the whole process, including intermediate results • To learn how to create transparent and complete reports for systematic reviews Background: Systematic reviews are complex and involve time-consuming, deep research in the academic literature to search, extract data, assess their quality and report the results. Digital tools and software have been developed to simplify different phases of this process but some of these are not free to use. Microsoft Excel is typically accessible to a great many researchers free of charge, so using it involves no further costs. Aim: To explain how to use Microsoft Excel to create transparent and complete reports for systematic reviews. Discussion: The author's method includes six steps: downloading the references, preparing worksheets, removing any duplicate references, screening the references by title and abstract, screening the full text of references, and listing the articles for inclusion in the review. Conclusion: The Excel method is efficient and free and can produce transparent and complete reports of systematic reviews. It is a valid alternative to the systematic reviews produced by advanced tools and software. Implications for practice: The documents produced by this method are a good source for the direct production of scientific texts. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nurse Researcher. 2023/03, Vol. 31, Issue 1, p40
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2023
  • ISSN:1351-5578
  • DOI:10.7748/nr.2023.e1866
  • Accession Number:162268163
  • Copyright Statement:Copyright of Nurse Researcher is the property of Royal College of Nursing of the United Kingdom (The) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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