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Automation tools to support undertaking scoping reviews.
Hanan Khalil1,2, Danielle Pollock3,4, Patricia McInerney5
1School of Psychology and Public Health, Department of Public Health, La Trobe University, Melbourne, Australia.
Research Synthesis Methods
|June 17, 2024
Summary
This paper introduces automation tools and software to streamline evidence synthesis, specifically for conducting scoping reviews. These resources aid in various stages, from protocol development to report writing, enhancing efficiency and quality.
Area of Science:
- Evidence synthesis
- Health sciences research
- Information science
Background:
- Conducting scoping reviews involves multiple complex steps.
- Automation tools can significantly improve the efficiency and quality of evidence synthesis.
- Existing guidance for scoping reviews can be enhanced by integrating technological solutions.
Purpose of the Study:
- To describe automation tools and software for evidence synthesis projects.
- To provide guidance on integrating these tools into scoping review methodology.
- To enhance the conduct of high-quality scoping reviews through automation.
Main Methods:
- Adapted guidance from a scoping review and JBI Scoping Review Methodology group consultations.
- Detailed automation tools aligned with key steps in the JBI scoping review process.
- Included reliable and validated software for enhancing scoping review conduct.
Main Results:
- Several reliable automation tools and software are available to enhance scoping reviews.
- Tools are presented in the order of recommended steps: team establishment, protocol development, searching, de-duplication, screening, data extraction, data charting, and report writing.
- Limitations include English-only availability and limited interoperability between tools.
Conclusions:
- Useful automation tools and software can support each step of a scoping review.
- This guidance can inform the development of integrated automation solutions for high-quality scoping reviews.
- Automation has the potential to significantly advance the field of evidence synthesis.
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