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Without a complete published description of interventions, clinicians and patients cannot reliably implement interventions that are shown to be useful, and other researchers cannot replicate or build on research findings. The quality of description of interventions in publications, however, is remarkably poor. To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The process involved a literature review for relevant checklists and research, a Delphi survey of an international panel of experts to guide item selection, and a face-to-face panel meeting. The resultant 12-item TIDieR checklist (brief name, why, what (materials), what (procedure), who intervened, how, where, when and how much, tailoring, modifications, how well (planned), how well (actually carried out)) is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). While the emphasis of the checklist is on trials, the guidance is intended to apply across all evaluative study designs. This paper presents the TIDieR checklist and guide, with a detailed explanation of each item, and examples of good reporting. The TIDieR checklist and guide should improve the reporting of interventions and make it easier for authors to structure the accounts of their interventions, reviewers and editors to assess the descriptions, and readers to use the information.

Original publication




Journal article


Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))

Publication Date





175 - 188


Centre for Research in Evidence Based Practice, Faculty of Health Sciences and Medicine, Bond University, Queensland, Australia, 4229.


associate professor of clinical epidemiology, director and professor of evidence based medicine, professor of epidemiology, professorial fellow in public health and director, university lecturer in medical statistics, senior scientist, Douglas G Altman professor of statistics in medicine, medicine editorial director, PLOS, assistant editor, emeritus professor of health psychology, Kadoorie professor of trauma rehabilitation and co-director of Oxford clinical trials research unit, professor of medical sociology, clinical reader in surgery, leadership chair of ehealth research, scientist, professor, Evidence-Based Medicine, Algorithms, Documentation, Forms and Records Control, Disease Management, Guideline Adherence, Outcome Assessment (Health Care), Germany, Records as Topic, Practice Guidelines as Topic, Checklist