Recruitment to multicentre trials—lessons from UKCTOCS: descriptive study
Open accessAbstract
OBJECTIVE: To describe the factors that contributed to successful recruitment of more than 200,000 women to the UK Collaborative Trial of Ovarian Cancer Screening, one of the largest ever randomised controlled trials. DESIGN: Descriptive study. SETTING: 13 NHS trusts in England, Wales, and Northern Ireland. PARTICIPANTS: Postmenopausal women aged 50-74; exclusion criteria included ovarian malignancy, bilateral oophorectomy, increased risk of familial ovarian cancer, active non-ovarian malignancy, and participation in other ovarian cancer screening trials. MAIN OUTCOME MEASURES: Achievement of target recruitment, acceptance rates of invitation, and recruitment rates. RESULTS: The trial was set up in 13 centres with 27 adjoining local health authorities. The coordinating centre team was led by one of the senior investigators, who was closely involved in planning and day to day trial management. Of 1 243,282 women invited, 23.2% (288 955) replied that they were eligible and would like to participate. Of those sent appointments, 73.6% (205 090) attended for recruitment. The acceptance rate varied from 19% to 33% between trial centres. Measures to ensure target recruitment included named coordinating centre staff supporting and monitoring each centre, prompt identification and resolution of logistic problems, varying the volume of invitations by centre, using local non-attendance rates to determine the size of recruitment clinics, and organising large ad hoc clinics supported by coordinating centre staff. The trial randomised 202,638 women in 4.3 years. CONCLUSIONS: Planning and trial management are as important as trial design and require equal attention from senior investigators. Successful recruitment needs constant monitoring by a committed proactive management team that is willing to explore individual solutions for different centres and use central resources to improve local recruitment. Automation of trial processes with web based trial management systems is crucial in large multicentre randomised controlled trials. Recruitment can be further enhanced by using information videos and group discussions. Trial registration Current Controlled Trials ISRCTN22488978.
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Large population-based cohorts such as UKCTOCS and EPIC contain patient samples that precede diagnosis of pancreatic ductal adenocarcinoma, but crucial information such as family history and comorbidity data are not consistently available.
“Although large population-based cohorts that have recruited healthy individuals (such as UKCTOCS72 and EPIC73) contain patient samples that precede diagnosis of pancreatic ductal adenocarcinoma, crucial information—such as family history and comorbidity data, including the presence of chronic pancreatitis or diabetes—are not consistently available.”
From Early detection of pancreatic cancer (2020) · cites this paper as [72]
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References 32 · Cited by 151
- Authors
- Menon, U., Gentry-Maharaj, A., Ryan, A., Sharma, A., Burnell, M., Hallett, R., Lewis, S., Lopez, A., Godfrey, K., Oram, D., Herod, J., Williamson, K., Seif, M., Scott, I., Mould, T., Woolas, R., Murdoch, J., Dobbs, S., Amso, N., Leeson, S., Cruickshank, D., McGuire, A., Campbell, S., Fallowfield, L., Skates, S., Parmar, M., & Jacobs, I.
- Affiliations
- University College London (GB)
- Queen Elizabeth Hospital (GB)
- St Bartholomew's Hospital (GB)
- Liverpool Women's Hospital (GB)
- Nottingham City Hospital (GB)
- St Mary's Hospital (GB)
- Royal Derby Hospital (GB)
- The Royal Free Hospital (GB)
- St. Mary's Hospital (GB)
- St Michael's Hospital (GB)
- Belfast City Hospital (GB)
- Cardiff University (GB)
- James Cook University Hospital (GB)
- London School of Economics and Political Science (GB)
- Brighton and Sussex Medical School (GB)
- Harvard University (US)
- Medical Research Council (GB)
- Corresponding author
- Menon, U.
- ORCID
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2008-11-13
- Volume
- 337
- Issue
- nov13 1
- Pages
- a2079-a2079
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC2583394
- OpenAlex
- W2098734171
- Cited by
- 151
- References
- 32
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 3 · 2023: 9 · 2022: 4 · 2021: 11 · 2020: 10 · 2019: 12 · 2018: 8 · 2017: 12 · 2016: 4 · 2015: 13 · 2014: 15 · 2013: 8 · 2012: 6
- FWCI
- 9.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- BMJ (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (acceptedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Sussex Research Online (University of Sussex) (submittedVersion, cc-by-nc)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by-nc)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- Cancer Research UK
- National Institute for Health and Care Research
- University College London Hospitals NHS Foundation Trust
- Medical Research Council
- National Cancer Institute (CA086381, CA083639, U01CA086381, P50CA083639)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Medicine › Reproductive Medicine › Ovarian cancer diagnosis and treatment
- Keywords
- trial recruitment, ovarian cancer screening, postmenopausal women, trial management, acceptance rate
- MeSH terms
- Aged, Female, United Kingdom, Humans, Mass Screening, Middle Aged, Ovarian Neoplasms, Patient Acceptance of Health Care, Research Design, Multicenter Studies as Topic, Randomized Controlled Trials as Topic, Patient Selection
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