Author:
Scott Anna Mae,Forbes Connor,Clark Justin,Carter Matt,Glasziou Paul,Munn Zachary
Abstract
AbstractObjectiveWe investigated the use of systematic review automation tools by systematic reviewers, health technology assessors and clinical guideline developers.Study design and settingsAn online, 16-question survey was distributed across several evidence synthesis, health technology assessment and guideline development organisations internationally. We asked the respondents what tools they use and abandon, how often and when they use the tools, their perceived time savings and accuracy, and desired new tools. Descriptive statistics were used to report the results.Results253 respondents completed the survey; 89% have used systematic review automation tools – most frequently whilst screening (79%). Respondents’ ‘top 3’ tools include: Covidence (45%), RevMan (35%), Rayyan and GRADEPro (both 22%); most commonly abandoned were Rayyan (19%), Covidence (15%), DistillerSR (14%) and RevMan (13%). Majority thought tools saved time (80%) and increased accuracy (54%). Respondents taught themselves to how to use the tools (72%), and were most often prevented by lack of knowledge from their adoption (51%). Most new tool development was suggested for the searching and data extraction stages.ConclusionAutomation tools are likely to take on an increasingly important role in high quality and timely reviews. Further work is required in training and dissemination of automation tools and ensuring they meet the desirable features of those conducting systematic reviews.
Publisher
Cold Spring Harbor Laboratory
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献