[The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement].

Benchimol, EI; Smeeth, L; Guttmann, A; Harron, K; Hemkens, LG; Moher, D; Petersen, I; Sørensen, HT; von Elm, E; Langan, SM; RECORD Working Committee, ; (2016) [The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement]. Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen, 115-116. pp. 33-48. ISSN 1865-9217 DOI: https://doi.org/10.1016/j.zefq.2016.07.010

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: Routinely collected health data, obtained for administrative and clinical purposes without specific a priori research goals, are increasingly used for research. The rapid evolution and availability of these data have revealed issues not addressed by existing reporting guidelines, such as Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). The REporting of studies Conducted using Observational Routinely collected health Data (RECORD) statement was created to fill these gaps. RECORD was created as an extension to the STROBE statement to address reporting items specific to observational studies using routinely collected health data. RECORD consists of a checklist of 13 items related to the title, abstract, introduction, methods, results, and discussion section of articles, and other information required for inclusion in such research reports. This document contains the checklist as well as explanatory and elaboration information to enhance the use of the checklist. Examples of good reporting for each RECORD checklist item are also included. This document, as well as the accompanying website and message board (http://www.record-statement.org), will improve the implementation and understanding of RECORD. By implementing RECORD, authors, journals editors, and peer reviewers can enhance transparency of research reporting.<br/>

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Faculty of Public Health and Policy > Dept of Health Services Research and Policy
Research Centre: EHR Research Group
Centre for Statistical Methodology
PubMed ID: 27837958
URI: http://researchonline.lshtm.ac.uk/id/eprint/3093671


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