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A Microsoft Excel Approach to Reduce Errors and Increase Efficiency in Systematic Searching
1University of Illinois at Chicago, USA.
Medical Reference Services Quarterly
|February 19, 2020
Summary
Developing systematic review search strategies can be tedious and error-prone. This study introduces a Microsoft Excel spreadsheet to automate search string creation, reducing manual errors and saving time for researchers.
Area of Science:
- Information Science
- Medical Informatics
- Health Sciences Research
Background:
- Systematic reviews require complex search strategies.
- Manual development of search strings is time-consuming and prone to errors.
- Errors in search terms or Boolean logic can impact review validity.
Purpose of the Study:
- To streamline the development of systematic review search strategies.
- To reduce manual errors in formatting search terms and Boolean operators.
- To automate the creation of single-line search strings.
Main Methods:
- Utilized Microsoft Excel to design a custom spreadsheet.
- Developed automated formatting for search terms, Boolean operators, and parentheses.
- Tested the spreadsheet for efficiency and accuracy in generating search strings.
Main Results:
- A functional spreadsheet was created to automate search string generation.
- The spreadsheet significantly reduces the time and potential for manual errors.
- Ensures correctly formatted terms, Boolean operators, and parentheses in search strings.
Conclusions:
- Microsoft Excel offers a viable solution for automating systematic review search strategy development.
- This approach enhances efficiency and accuracy in research methodology.
- Facilitates more reliable and reproducible systematic reviews.
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