Clinical research nurse predictions of trial failure, recruitment and retention: a case for their early inclusion in trial design

Author:

Shiely FrancesORCID,Murphy Danielle,Millar Seán R.

Abstract

Abstract Background Clinical research nurses are a key part of the clinical trial team but typically get involved later in the trial, usually during recruitment. The purpose of our study was to establish if CRNs who read the trial protocol can predict the performance of the trial. Methods We randomly selected 18 trial protocols with three statuses, terminated, withdrawn, and completed, from ClinicalTrials.gov, between 2014 and 2018 inclusive. We gave the protocols to five CRNs, asked them to make a judgement and provide a reason for that judgement (via a 12-item questionnaire) on the status of the trial (terminated, withdrawn or completed), if the trial met its recruitment target, if it recruited on time, and if it retained its participants. We also asked if it was likely a CRN was involved in the design of the trial. The CRNs were blinded to the study outcomes, did not receive any training on how to read a protocol and were prohibited from using/abstained from using the internet while completing the task. Results Twenty-three questionnaires on 23 trial protocols (18 different trials) were completed by 5 CRNs. The CRNs correctly predicted the trial status 48%, 95% CI: 29–67% (11/23) of the time; successful/unsuccessful recruitment 74%, 95% CI: 54–87% (17/23) of the time; on-time recruitment 70%, 95% CI: 49–84% (16/23) of the time; and participant retention 52%, 95% CI: 33–71% (12/23). CRNs identified 100% (sensitivity) of sites that hit their target and 63%, 95% CI: 36–84% (specificity) of sites that missed their target. Conclusions CRNs are very good judges of trial recruitment and site performance issues and are a vital part of the clinical trial team. Taken with the ESP (Estimating Site Performance) study, we have made a strong case for broadening the trial team at the trial design stage. Early engagement of a broad skillset can potentially offset problems of recruitment, retention and trial failure.

Funder

Health Research Board

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Medicine (miscellaneous)

Reference20 articles.

1. Backman Lönn B, Olofsson N, Jong M. Translation and validation of the Clinical Trial Nursing Questionnaire in Swedish—A first step to clarify the clinical research nurse role in Sweden. J Clin Nurs. 2019;28(13–14):2696–705.

2. Spilsbury K, Petherick E, Cullum N, Nelson A, Nixon J, Mason S. The role and potential contribution of clinical research nurses to clinical trials. J Clin Nurs. 2008;17(4):549–57.

3. Cline D, Showalter B. Research nurse residency: new registered nurses transition to the role of a clinical trials nurse. Asia Pac J Oncol Nurs. 2020;7(3):229–31.

4. Rickard CM, Roberts BL. Commentary on Spilsbury K, Petherick E, Cullum N, Nelson A, Nixon J & Mason S (2008) The role and potential contribution of clinical research nurses to clinical trials. Journal of Clinical Nursing 17, 549–557. J Clin Nurs. 2008;17(19):2664–6.

5. Kadam RA, Borde SU, Madas SA, Salvi SS, Limaye SS. Challenges in recruitment and retention of clinical trial subjects. Perspect Clin Res. 2016;7(3):137.

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