Systematic review automation tools improve efficiency but lack of knowledge impedes their adoption: a survey.
Systematic review automation tools improve efficiency but lack of knowledge impedes their adoption: a survey.
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系统审查自动化工具可以提高效率，但缺乏知识阻碍了它们的采用：调查。
DOI：
10.1016/j.jclinepi.2021.06.030
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发表时间：
2021
影响因子：
7.2
通讯作者：
Z. Munn
中科院分区：
文献类型：
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作者：
A. Scott;C. Forbes;Justin Clark;M. Carter;P. Glasziou;Z. Munn
我们调查了系统评价者、卫生技术评估者和临床指南开发者使用系统评价自动化工具的情况。研究设计和设置一项在线16个问题的调查分布在几个证据合成、卫生技术评估和指南开发组织中。我们询问了受访者他们使用和放弃的工具，他们使用这些工具的频率和时间，他们认为节省的时间和准确性，以及想要的新工具。描述性统计被用来报告results.ResultsA共253名受访者完成了调查，89%的人使用系统评价自动化工具-最频繁，而筛选（79%）。受访者的“前三名”工具包括：Covidence（45%），RevMan（35%），Rayyan和GRADEPro（均为22%）;最常放弃的是Rayyan（19%），Covidence（15%），DistillerSR（14%）和RevMan（13%）。工具节省了时间（80%）并提高了准确性（54%）。受访者自学如何使用这些工具（72%）;缺乏知识是采用工具的最常见障碍（51%）。新的工具开发建议的搜索和数据提取stages.ConclusionAutomation工具可能会有一个越来越重要的作用，在高质量和及时的审查。需要进一步开展工作，培训和传播自动化工具，并确保这些工具符合进行系统审查者的理想特点。
ObjectiveWe investigated systematic review automation tool use by systematic reviewers, health technology assessors and clinical guideline developerst.Study design and settingAn online, 16-question survey was distributed across several evidence synthesis, health technology assessment and guideline development organizations. We asked the respondents what tools they use and abandon, how often and when do they use the tools, their perceived time savings and accuracy, and desired new tools. Descriptive statistics were used to report the results.ResultsA total of 253 respondents completed the survey; 89% have used systematic review automation tools – most frequently whilst screening (79%). Respondents’ “top 3” tools included: Covidence (45%), RevMan (35%), Rayyan and GRADEPro (both 22%); most commonly abandoned were Rayyan (19%), Covidence (15%), DistillerSR (14%) and RevMan (13%). Tools saved time (80%) and increased accuracy (54%). Respondents taught themselves to how to use the tools (72%); lack of knowledge was the most frequent barrier to tool adoption (51%). New tool development was suggested for the searching and data extraction stages.ConclusionAutomation tools will likely have 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.