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Software tools for systematic review literature screening and data extraction: Qualitative user experiences from
Cathalijn H C Leenaars1, Frans Stafleu2, André Bleich1
1Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany.
Efficient systematic review (SR) tools are crucial for preclinical research. Four multiphase platforms—Covidence, Eppi, SRDR+, and SYRF—were tested for screening, data extraction, and discrepancy resolution, showing varied suitability based on review needs.
Area of Science:
- Preclinical research
- Systematic reviews
- Research methodology
Background:
- Systematic reviews (SRs) are vital for implementing the 3Rs in preclinical research.
- Increasing scientific literature necessitates efficient SR tools to manage time investment.
- Software for multiple SR phases, including data extraction, is less common than screening tools.
Purpose of the Study:
- To formally test four free or affordable multiphase systematic review tools: Covidence, Eppi, SRDR+, and SYRF.
- To evaluate the efficiency and user experience of these tools across different SR phases.
- To identify factors influencing the optimal choice of a systematic review tool.
Main Methods:
- Conducted formal tests on Covidence, Eppi, SRDR+, and SYRF.
- Performed full-text screening, sham data extraction (free text, numerical, categorical), and discrepancy resolution.
- Qualitatively summarized reviewer experiences and user feedback.
Main Results:
- All tested tools demonstrated value in the systematic review process.
- The optimal tool choice depends on factors like user experience, review type, specific questions, and team engagement.
- No single tool was universally superior, highlighting the need for tailored selection.
Conclusions:
- Multiphase review platforms offer significant advantages, including automated reference transfer and simultaneous work on multiple stages.
- The selection of an optimal systematic review tool requires careful consideration of specific project needs and team dynamics.
- Further research into user experiences can guide the development and selection of more effective systematic review software.
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