Literature DB >> 25055812

Site-specific predictors of successful recruitment to a perinatal clinical trial.

Kate M Levett1, Christine L Roberts2, Judy M Simpson3, Jonathan M Morris2.   

Abstract

BACKGROUND: With large collaborations needed to reach sample size requirements for relatively rare events, a major challenge for multi-centre clinical trials is efficiency of recruitment at individual sites. We used data from an international, multi-centre, randomised trial of preterm prelabour rupture of membranes to assess any impact on recruitment following the introduction of a new Clinical Trial Agreement and to identify site-specific predictors of recruitment to the trial for the purpose of targeting future recruitment sites and strategies.
METHODS: The outcome measure was recruitment rate per 10,000 births, and according to this, an average recruitment rate was determined. Factors that were considered potentially predictive of recruitment above the average rate were classified according to three broad themes: 'ethics and regulatory requirements', 'characteristics of site investigators' and the 'research culture' at the collaborating site. Data were analysed using contingency tables and logistic regression modelling.
RESULTS: At 31 January 2009, following the introduction of the Clinical Trial Agreement, 39 centres had obtained ethics approval to commence recruitment, and 38 centres had enrolled at least one woman. Time to first recruit ranged from 25 days to 584 days. Recruitment rates ranged from 0.18 to 6.0 per 10,000 births (mean 1.71/10,000 births) per month. Factors most associated with above-average recruitment rate were the following: implementation of a clearly defined 'system' of recruitment, engagement of other staff, time from ethics approval to first recruit and provision of a dedicated trial coordinator.
CONCLUSION: A delay of greater than 3 months in approval of the new Clinical Trial Agreement had an effect which extended into the third year of the trial. Characteristics that were indicative of the presence of a 'system' were the best predictors of recruitment. It may be more effective to limit recruitment sites and focus resources on those sites where investigators are engaged with trial processes and have adequate resources and structures to support them.
© The Author(s) 2014.

Entities:  

Keywords:  perinatal; predictive factors; randomised controlled trial; recruitment

Mesh:

Year:  2014        PMID: 25055812     DOI: 10.1177/1740774514543539

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  7 in total

1.  Clinical trial design and recommendations: collectively, we can take them.

Authors:  Julie Babyar
Journal:  Clin Exp Med       Date:  2017-10-13       Impact factor: 3.984

2.  Characteristics of participants consenting versus declining follow-up for up to 10 years in a randomized clinical trial.

Authors:  Alice J Sheffet; Jenifer H Voeks; Ariane Mackey; William Brooks; Wayne M Clark; Michael D Hill; Virginia J Howard; Susan E Hughes; MeeLee Tom; Mary E Longbottom; Thomas G Brott
Journal:  Clin Trials       Date:  2015-06-29       Impact factor: 2.486

3.  Real-Time Enrollment Dashboard For Multisite Clinical Trials.

Authors:  William A Mattingly; Robert R Kelley; Timothy L Wiemken; Julia H Chariker; Paula Peyrani; Brian E Guinn; Laura E Binford; Kimberley Buckner; Julio Ramirez
Journal:  Contemp Clin Trials Commun       Date:  2015-10-30

Review 4.  Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review.

Authors:  David B Fogel
Journal:  Contemp Clin Trials Commun       Date:  2018-08-07

5.  Accelerating Cancer Patient Recruitment Through a Mobile Application (Clinical Trial Finder).

Authors:  Dinesh Pal Mudaranthakam; Alexander M Alsup; Vinay Murakonda; Tara Lin; Jeffrey Thompson; Byron Gajewski; Matthew S Mayo
Journal:  Cancer Inform       Date:  2022-01-25

6.  Predicting enrollment performance of investigational centers in phase III multi-center clinical trials.

Authors:  Rutger M van den Bor; Diederick E Grobbee; Bas J Oosterman; Petrus W J Vaessen; Kit C B Roes
Journal:  Contemp Clin Trials Commun       Date:  2017-07-20

7.  Design, planning and implementation lessons learnt from a surgical multi-centre randomised controlled trial.

Authors:  Katie Biggs; Daniel Hind; Mike Bradburn; Lizzie Swaby; Steve Brown
Journal:  Trials       Date:  2019-11-01       Impact factor: 2.279

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.