Good Statistical Practice-development of tailored Good Clinical Practice training for statisticians.
Autor: | Stocken DD; Leeds Institute of Clinical Trials Research, Faculty of Medicine and Health, University of Leeds, Leeds, UK. d.d.stocken@leeds.ac.uk., Mossop H; Biostatistics Research Group, Institute of Health and Society, Newcastle University, Newcastle Upon Tyne, UK., Armstrong E; Leeds Institute of Clinical Trials Research, Faculty of Medicine and Health, University of Leeds, Leeds, UK., Lewis S; Edinburgh Clinical Trials Unit, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK., Dutton SJ; Oxford Clinical Trials Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK., Peckitt C; Royal Marsden and Institute for Cancer Research Clinical Trials Units, The Royal Marsden NHS Foundation Trust, London, UK., Gamble C; Liverpool Clinical Trials Clinical Trials Research Centre, Department of Biostatistics, University of Liverpool, Liverpool, UK., Brown J; Leeds Institute of Clinical Trials Research, Faculty of Medicine and Health, University of Leeds, Leeds, UK. |
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Jazyk: | angličtina |
Zdroj: | Trials [Trials] 2024 Feb 10; Vol. 25 (1), pp. 113. Date of Electronic Publication: 2024 Feb 10. |
DOI: | 10.1186/s13063-024-07940-1 |
Abstrakt: | Background: Statisticians are fundamental in ensuring clinical research, including clinical trials, are conducted with quality, transparency, reproducibility and integrity. Good Clinical Practice (GCP) is an international quality standard for the conduct of clinical trials research. Statisticians are required to undertake training on GCP but existing training is generic and, crucially, does not cover statistical activities. This results in statisticians undertaking training mostly unrelated to their role and variation in awareness and implementation of relevant regulatory requirements with regards to statistical conduct. The need for role-relevant training is recognised by the UK NHS Health Research Authority and the Medicines and Healthcare products Regulatory Agency (MHRA). Methods: The Good Statistical Practice (GCP for Statisticians) project was instigated by the UK Clinical Research Collaboration (UKCRC) Registered Clinical Trials Unit (CTU) Statisticians Operational Group and funded by the National Institute for Health and Care Research (NIHR), to develop materials to enable role-specific GCP training tailored to statisticians. Review of current GCP training was undertaken by survey. Development of training materials were based on MHRA GCP. Critical review and piloting was conducted with UKCRC CTU and NIHR researchers with comment from MHRA. Final review was conducted through the UKCRC CTU Statistics group. Results: The survey confirmed the need and desire for the development of dedicated GCP training for statisticians. An accessible, comprehensive, piloted training package was developed tailored to statisticians working in clinical research, particularly the clinical trials arena. The training materials cover legislation and guidance for best practice across all clinical trial processes with statistical involvement, including exercises and real-life scenarios to bridge the gap between theory and practice. Comprehensive feedback was incorporated. The training materials are freely available for national and international adoption. Conclusion: All research staff should have training in GCP yet the training undertaken by most academic statisticians does not cover activities related to their role. The Good Statistical Practice (GCP for Statisticians) project has developed and extensively piloted new, role-specific, comprehensive, accessible GCP training tailored to statisticians working in clinical research, particularly the clinical trials arena. This role-specific training will encourage best practice, leading to transparent and reproducible statistical activity, as required by regulatory authorities and funders. (© 2024. The Author(s).) |
Databáze: | MEDLINE |
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