- Oral presentation
- Open Access
Using linked healthcare data to create a randomised controlled trial: the rapid trial (reducing antibiotic prescribing in dentistry)
© Elouafkaoui et al; licensee BioMed Central Ltd. 2013
- Published: 29 November 2013
- Antibiotic Prescribe
- Dental Practice
- Feedback Strategy
- Feedback Report
- Dental Practitioner
identify participants: all currently practicing General Dental Practitioners (GDPs) in Scotland.
apply inclusion/exclusion criteria; based on dental practice contract status and a minimum level of recent treatment provision.
carry out stratified randomisation; all eligible dental practices in Scotland were simultaneously randomised at baseline to current audit practice or to one of two audit and feedback interventions. Randomisation was stratified by single-handed/multi-handed practices. Intervention practices were further randomised using a factorial design.
generate the trial intervention; individualised graphical feedback on antibiotic prescribing. The initial feedback report contained 14 months retrospective antibiotic prescribing data.
analyse trial outcomes; the primary outcome is the total antibiotic prescribing rate per 100 courses of treatment over the year following the delivery of the baseline intervention.
In describing the design of this study, we demonstrate that linked administrative datasets have the potential to be used efficiently and effectively across all stages of an RCT. We also discuss the various challenges and limitations that such an approach presents.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.