Software tools to support title and abstract screening for systematic reviews in healthcare: an evaluation

被引:226
作者
Harrison, Hannah [1 ]
Griffin, Simon J. [1 ,2 ]
Kuhn, Isla [3 ]
Usher-Smith, Juliet A. [1 ]
机构
[1] Univ Cambridge, Primary Care Unit, Dept Publ Hlth & Primary Care, Cambridge, England
[2] Inst Metab Sci, MRC Epidemiol Unit, Cambridge, England
[3] Univ Cambridge, Med Lib, Sch Clin Med, Cambridge, England
基金
英国医学研究理事会;
关键词
Title and abstract; Screening; Software tools; Feature analysis; Systematic reviews;
D O I
10.1186/s12874-020-0897-3
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Systematic reviews are vital to the pursuit of evidence-based medicine within healthcare. Screening titles and abstracts (T&Ab) for inclusion in a systematic review is an intensive, and often collaborative, step. The use of appropriate tools is therefore important. In this study, we identified and evaluated the usability of software tools that support T&Ab screening for systematic reviews within healthcare research. Methods We identified software tools using three search methods: a web-based search; a search of the online "systematic review toolbox"; and screening of references in existing literature. We included tools that were accessible and available for testing at the time of the study (December 2018), do not require specific computing infrastructure and provide basic screening functionality for systematic reviews. Key properties of each software tool were identified using a feature analysis adapted for this purpose. This analysis included a weighting developed by a group of medical researchers, therefore prioritising the most relevant features. The highest scoring tools from the feature analysis were then included in a user survey, in which we further investigated the suitability of the tools for supporting T&Ab screening amongst systematic reviewers working in medical research. Results Fifteen tools met our inclusion criteria. They vary significantly in relation to cost, scope and intended user community. Six of the identified tools (Abstrackr, Colandr, Covidence, DRAGON, EPPI-Reviewer and Rayyan) scored higher than 75% in the feature analysis and were included in the user survey. Of these, Covidence and Rayyan were the most popular with the survey respondents. Their usability scored highly across a range of metrics, with all surveyed researchers (n = 6) stating that they would be likely (or very likely) to use these tools in the future. Conclusions Based on this study, we would recommend Covidence and Rayyan to systematic reviewers looking for suitable and easy to use tools to support T&Ab screening within healthcare research. These two tools consistently demonstrated good alignment with user requirements. We acknowledge, however, the role of some of the other tools we considered in providing more specialist features that may be of great importance to many researchers.
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页数:12
相关论文
共 14 条
[1]  
[Anonymous], 5 INT C QUAL SOFTW Q
[2]  
[Anonymous], 2014, Cochrane handbook for systematic reviews of interventions version 5.1.0
[3]  
[Anonymous], ACM SIGSOFT SOFTW EN
[4]  
[Anonymous], P 19 INT C EV ASS SO
[5]   Systematic reviews: Synthesis of best evidence for clinical decisions [J].
Cook, DJ ;
Mulrow, CD ;
Haynes, RB .
ANNALS OF INTERNAL MEDICINE, 1997, 126 (05) :376-380
[6]  
Gopalakrishnan S, 2013, J Family Med Prim Care, V2, P9, DOI 10.4103/2249-4863.109934
[7]   Feature analysis for architectural evaluation methods [J].
Griman, A. ;
Perez, M. ;
Mendoza, L. ;
Losavio, F. .
JOURNAL OF SYSTEMS AND SOFTWARE, 2006, 79 (06) :871-888
[8]   DESMET: a methodology for evaluating software engineering methods and tools [J].
Kitchenham, B ;
Linkman, S ;
Law, D .
COMPUTING & CONTROL ENGINEERING JOURNAL, 1997, 8 (03) :120-126
[9]  
Kitchenham B. A., 1997, Software Engineering Notes, V22, P21, DOI 10.1145/263244.263251
[10]  
Kohl C, 2018, ENVIRON EVID, V7, DOI 10.1186/s13750-018-0115-5