Electronic search strategies to identify reports of cluster randomized trials in MEDLINE: low precision will improve with adherence to reporting standards |
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| Authors: | Monica Taljaard Jessie McGowan Jamie C Brehaut Andrew McRae Martin P Eccles Allan Donner |
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| Institution: | (1) Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canada;(2) Department of Epidemiology and Community Medicine, University of Ottawa, Ottawa, Canada;(3) Faculty of Family Medicine, Faculty of Medicine, Ottawa, Canada;(4) Institute of Population Health, University of Ottawa, Ottawa, Canada;(5) Department of Information Studies, University of Aberystwyth, UK;(6) Department of Medicine, University of Ottawa, Ottawa, Canada;(7) Department of Epidemiology and Biostatistics, University of Western Ontario, London, Canada;(8) Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK;(9) Robarts Clinical Trials, London, Canada |
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| Abstract: | Background Cluster randomized trials (CRTs) present unique methodological and ethical challenges. Researchers conducting systematic reviews
of CRTs (e.g., addressing methodological or ethical issues) require efficient electronic search strategies (filters or hedges)
to identify trials in electronic databases such as MEDLINE. According to the CONSORT statement extension to CRTs, the clustered
design should be clearly identified in titles or abstracts; however, variability in terminology may make electronic identification
challenging. Our objectives were to (a) evaluate sensitivity ("recall") and precision of a well-known electronic search strategy
("randomized controlled trial" as publication type) with respect to identifying CRTs, (b) evaluate the feasibility of new
search strategies targeted specifically at CRTs, and (c) determine whether CRTs are appropriately identified in titles or
abstracts of reports and whether there has been improvement over time. |
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