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How to conduct systematic reviews more expeditiously?
Alexander Tsertsvadze1, Yen-Fu Chen2, David Moher3
1Communicable Disease Control Epidemiology and Evidence, Populations, Evidence and Technologies, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK. a.tsertsvadze.1@warwick.ac.uk.
Systematic reviews (SRs) are crucial for decision-making but time-consuming. This study explores methods like parallelization, technology, and process modification to expedite SR production without compromising validity.
Area of Science:
- Health Sciences
- Evidence Synthesis
- Medical Informatics
Background:
- Systematic reviews (SRs) are vital for healthcare decision-making.
- The time and resources required for SRs can delay critical information delivery.
- Timely evidence is essential for urgent decisions, such as during infection outbreaks.
Purpose of the Study:
- To explore strategies for accelerating the production of systematic reviews.
- To identify methods that balance timeliness with the validity of review findings.
- To address the need for rapid evidence synthesis in healthcare.
Main Methods:
- Discusses process parallelization to expedite individual review steps.
- Highlights the potential of innovative technologies for automating time-consuming tasks (e.g., data extraction, translation).
- Examines modifications to SR processes, such as altering eligibility criteria or search strategies, while considering potential bias.
Main Results:
- Accelerated SR production can be achieved through parallelization and technological integration.
- Modifying SR processes may risk introducing bias, necessitating careful evaluation.
- Further research is needed to compare rapid reviews (RRs) with SRs and quantify the impact of methodological changes.
Conclusions:
- Expediting systematic reviews is feasible through parallelization, technology, and process adaptation.
- Maintaining the validity of SR findings is paramount when implementing time-saving measures.
- Evidence-based decision-making in healthcare benefits significantly from timely synthesized evidence.
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