Cohort Retention Tools
Victor Dinglas, MPH discusses (click image for the video) lessons learned regarding cohort retention including dispelling common myths in the field. He then discusses a Cohort Retention Toolbox (see menu below) which contains content developed based on a systematic review of the literature and semi-structured interviews of clinical researchers. Lastly, he discusses a case study that used many of these tools.
Below are tools we have available to help researchers maximize retention of research participants.
- Participant Contact Information Form
- Follow-up Protocols
- Locating Participants
- Retention Strategies from Systematic Review
- Communication Templates and Manuals
- Staff Training
- Other Tools
- Helpful links
- Johns Hopkins Institute for Clinical and Translational Research – Recruitment and Retention Resources
- Trial Innovation Network – Recruitment and Retention Toolkit
- Mosio for Research – Free eBook on Patient Recruitment and Retention
- Dinglas VD,…, Needham DM. Long-term outcomes in ICU survivors: a systematic review of cohort retention. PROSPERO 2018.
- Two consensus workshops – best practices to improve retention in RCTs. Brueton, et al. J Clin Epi. 2017;88:122-132. PubMed
- Delphi consensus on retention strategies in UK RCT groups. Kearney, et al. Trials. 2017;18(1):406. PubMed
- A framework for ethical payment to research participants. Gelinas, et al. NEJM. 2018;378;8:776-771. PubMed
- Interventions to improve retention in surgical, clinical trial: a pragmatic, stakeholder-driven approach. Leighton, et al. Journal of Evidenced-Based Medicine. 2018;11(1):12-19. PubMed
If you have any questions or comments, please contact us: contact form.
This work is still in-progress. We expect many changes and updates. To receive notifications of new or updated resources from this project, please subscribe to our newsletter.
This work, created by Dale M. Needham, MD, PhD and the Johns Hopkins University Outcomes After Critical Illness & Surgery (OACIS) Group, was funded by NHLBI R24HL111895, and is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.