Factors that limit the quality, number and progress of randomised controlled trials
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NHS R&D HTA ProgrammeT he overall aim of the NHS R&D Health Technology Assessment (HTA) programme is to ensure that high-quality research information on the costs, effectiveness and broader impact of health technologies is produced in the most efficient way for those who use, manage and work in the NHS.Research is undertaken in those areas where the evidence will lead to the greatest benefits to patients, either through improved patient outcomes or the most efficient use of NHS resources.The Standing Group on Health Technology advises on national priorities for health technology assessment.Six advisory panels assist the Standing Group in identifying and prioritising projects.These priorities are then considered by the HTA Commissioning Board supported by the National Coordinating Centre for HTA (NCCHTA).This report is one of a series covering acute care, diagnostics and imaging, methodology, pharmaceuticals, population screening, and primary and community care.It was identified as a priority by the Methodology Group and funded as project number 93/43/02.The views expressed in this publication are those of the authors and not necessarily those of the Standing Group, the Commissioning Board, the Panel members or the Department of Health.The editors wish to emphasise that funding and publication of this research by the NHS should not be taken as implicit support for the recommendations for policy contained herein.In particular, policy options in the area of screening will be considered by the National Screening Committee.This Committee, chaired by the Chief Medical Officer, will take into account the views expressed here, further available evidence and other relevant considerations.Reviews in Health Technology Assessment are termed 'systematic' when the account of the search, appraisal and synthesis methods (to minimise biases and random errors) would, in theory, permit the replication of the review by others.
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Many randomised controlled trials report challenges with recruitment.
“Many RCTs report challenges with recruitment [4–6]”
From Parental attitudes to randomised controlled trials in primary dental care: A qualitative study (2026) · cites this paper as [4]
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“Many RCTs report challenges with recruitment [4–6] and this was echoed with the FiCTION RCT [7] which aimed to recruit 1461 children aged 3–7 years [2].”
- Authors
- Prescott, Counsell, Gillespie, Grant, Russell, Kiauka, Colthart, Ross, Shepherd, & Russell
- Affiliations
- University of Edinburgh (GB)
- University of Aberdeen (GB)
- Venue
- Health Technology Assessment
- Published
- 1999
- Volume
- 3
- Issue
- 20
- Pages
- 1-143
- ISSN
- 1366-5278 (ISSN-L)
- 2046-4924
- OpenAlex
- W2119767902
- Cited by
- 390
- References
- 291
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 3 · 2023: 11 · 2022: 17 · 2021: 14 · 2020: 22 · 2019: 13 · 2018: 15 · 2017: 11 · 2016: 14 · 2015: 20 · 2014: 21 · 2013: 19 · 2012: 18
- FWCI
- 10.36
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Health Technology Assessment (publishedVersion)
- PubMed (publishedVersion)
- OpenGrey (Institut de l'Information Scientifique et Technique) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Health Technology Assessment Programme (00/15/01)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Research Impacts
- Keywords
- randomized controlled trials, trial quality, trial conduct, research priorities, systematic reviews
- MeSH terms
- Costs and Cost Analysis, Humans, Quality Control, Research Design, Randomized Controlled Trials as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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