- Poster presentation
- Open Access
Innovative methods for optimising clinical trial recruitment and retention within primary care
© Lawton and Wathall 2015
Published: 16 November 2015
Recruiting patients to research and collecting study data in a primary care setting, combined with maximising retention rates from a primary care population can be challenging and requires recruitment and retention methods which are innovative, efficient and transferrable.
To apply low resource intensive and rapidly implemented recruitment and retention innovations for use in primary care settings that ensure patient recruitment and follow-up targets are achieved.
A range of innovative recruitment and retention strategies are utilised by Keele CTU including; electronic aide-memoires linked to Read codes; physical aide-memoire prompts in consulting rooms; automated referral methods; postcard, repeat, email, SMS and minimum data collection reminder mailings; death and departure auditing.
Methods used; sustain routine care whilst simultaneously screening for research data and participants; provide flexible instruments compatible with all general practice infrastructures; increase clinical precision in identifying suitable participants; automates recording of study data collection; ensures minimal impact on consultation time; contribute towards the delivery of excellent retention rates.
Recruitment aide-memoires, automated innovations and retention strategies can all be embedded easily into a primary care setting. These tools, without over burdening the busy primary care practitioner, result in simple and effective methods of prompting patient recruitment and retention. Excellent recruitment and retention rates are possible, despite encountering differences in primary care infrastructure. Such methods should be utilised more widely to facilitate primary care research, if this is where many conditions are diagnosed and managed.
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/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.