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Automated recruitment and randomisation for an efficient randomised controlled trial in primary care
Victoria R Cornelius1,2, Lisa McDermott3, Alice S Forster3,4
1Department of Primary Care and Public Health Sciences, King's College, London, UK. v.cornelius@imperial.ac.uk.
Automated methods for clinical trial recruitment and randomisation in primary care are feasible, offering consistent results compared to manual approaches. This technology streamlines processes and improves data integrity for research efficiency.
Area of Science:
- Health Informatics
- Clinical Trial Methodology
- Primary Care Research
Background:
- Electronic health records and IT are increasingly used to enhance clinical trial efficiency.
- This study compares automated versus manual recruitment and randomisation methods in primary care.
Purpose of the Study:
- To evaluate methodological issues and data quality of automated versus manual recruitment and randomisation.
- To assess the feasibility of using automated systems for clinical trials in primary care settings.
Main Methods:
- A three-arm randomised controlled trial was conducted in primary care.
- Manual recruitment/randomisation involved monthly general practice visits.
- Automated recruitment/randomisation used a bespoke algorithm within the health check management system.
Main Results:
- 8588 participants recruited manually vs. 4093 automatically.
- Manual method was faster to implement but labour-intensive and led to data loss.
- Automated method had no data loss, and effect estimates were consistent between methods.
Conclusions:
- Automated recruitment and randomisation are feasible for primary care clinical trials.
- Future research should explore these automated techniques in diverse clinical and healthcare settings.
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