Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Apr 3;20(1):192.
doi: 10.1186/s13063-019-3287-6.

Estimating Site Performance (ESP): can trial managers predict recruitment success at trial sites? An exploratory study

Affiliations

Estimating Site Performance (ESP): can trial managers predict recruitment success at trial sites? An exploratory study

Hanne Bruhn et al. Trials. .

Abstract

Background: Multicentre randomised trials provide some of the key evidence underpinning healthcare practice around the world. They are also hard work and generally expensive. Some of this work and expense are devoted to sites that fail to recruit as many participants as expected. Methods to identify sites that will recruit to target would be helpful.

Methods: We asked trial managers at the Centre for Healthcare Randomised Trials (CHaRT), University of Aberdeen to predict whether a site would recruit to target. Predictions were made after a site initiation visit and were collected on a form comprising a simple 'Yes/No' prediction and a reason for the prediction. We did not provide guidance as to what trial managers might want to think about when making predictions. After a minimum of eight months of recruitment at each site for which a prediction had been made, all trial mangers in CHaRT were invited to a group discussion where predictions were presented together with sites' actual recruitment performance over that period. Individual trial managers reflected on their predictions and there was a general discussion about predicting site recruitment. The prediction reasons from the forms and the content of the group discussion were used to identify features linked to correct predictions of recruitment failure.

Results: Ten trial managers made predictions for 56 site visits recruiting to eight trials. Trial managers' sensitivity was 82% and their specificity was 32%, correctly identifying 65% of sites that would hit their recruitment target and 54% of those that did not. Eight 'red flags' for recruitment failure were identified: previous poor site performance; slow approvals process; strong staff/patient preferences; the site recruitment target; the trial protocol and its implementation at the site; lack of staff engagement; lack of research experience among site staff; and busy site staff. We used these red flags to develop a guided prediction form.

Conclusions: Trial managers' unguided recruitment predictions were not bad but were not good enough for decision-making. We have developed a modified prediction form that includes eight flags to consider before making a prediction. We encourage anyone interested in contributing to its evaluation to contact us.

Keywords: Clinical trials; Recruitment; Recruitment performance; Recruitment sites; Trial managers.

PubMed Disclaimer

Conflict of interest statement

Ethics approval and consent to participate

The ESP study was given ethical approval by The Life Sciences and Medicine Ethics Review Board (CERB), University of Aberdeen, reference number CERB/2014/12/1136.

Consent for publication

Participating trial managers were told at the point of consent that their anonymous quotes may be used in future publications and consented on that basis. The same was true for trial managers attending the group discussion.

Competing interests

ST is an Editor in Chief for Trials and series co-editor for the Trials trial management series. He was not involved in the editorial handling of this manuscript.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

    1. Walters SJ, Bonacho dos Anjos Henriques-Cadby I, Bortolami O, Flight L, Hind D, Jacques RM, et al. Recruitment and retention of participants in randomised controlled trials: a review of trials funded and published by the United Kingdom Health Technology Assessment Programme. BMJ Open. 2017;7:e015276. doi: 10.1136/bmjopen-2016-015276. - DOI - PMC - PubMed
    1. Sully BGO, Julious SA, Nicholl J. A reinvestigation of recruitment to randomised, controlled, multicenter trials: a review of trials funded by two UK funding agencies. Trials. 2013;14:166. doi: 10.1186/1745-6215-14-166. - DOI - PMC - PubMed
    1. Mcdonald AM, Knight RC, Campbell MK, Entwistle VA, Grant AM, Cook JA, et al. What influences recruitment to randomised controlled trials? A review of trials funded by two UK funding agencies. Trials. 2006;7:9. doi: 10.1186/1745-6215-7-9. - DOI - PMC - PubMed
    1. Kasenda B, Elm v E, You J, Blümle A, Tomonaga Y, Saccilotto R, et al. Prevalence, characteristics, and publication of discontinued randomized trials. JAMA. 2014;311:1045–1051. doi: 10.1001/jama.2014.1361. - DOI - PubMed
    1. Kitterman DR, Cheng SK, Dilts DM, Orwoll ES. The prevalence and economic impact of low-enrolling clinical studies at an academic medical center. Acad Med. 2011;86:1360–1366. doi: 10.1097/ACM.0b013e3182306440. - DOI - PMC - PubMed

MeSH terms