ReviewBMJ open2021
Realising the full potential of data-enabled trials in the UK: a call for action.
Review in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- The reporting of health systems data use in primary results publications of clinical trials: a systematic review.Trials · 2025Pooled it
- Definitions of clinical study outcome measures for cardiovascular diseases: the European Unified Registries for Heart Care Evaluation and Randomized Trials (EuroHeart).European heart journal · 2025Pooled it
- Evaluation of venous thromboembolism risk assessment models for hospital inpatients: the VTEAM evidence synthesis.Health technology assessment (Winchester, England) · 2024Pooled it
- Use of routine healthcare data in randomised implementation trials: a methodological mixed-methods systematic review.Implementation science : IS · 2023Pooled it
- Generating evidence using electronic alerts during routine care: a fully automated randomized controlled trial of oral fluid restriction in acute heart failure (THIRST alert trial).European heart journal. Digital health · 2026Article
- Reporting of Cohort and Routinely Collected Data in Randomised Controlled Trial Protocols (SPIRIT-ROUTINE): extension checklist with explanation and elaboration.BMJ (Clinical research ed.) · 2026Article
- Article
- Article
- A review of use of external data and update on reporting standards in Sequential Multiple-Assignment Randomised Trials.Clinical trials (London, England) · 2026Review
- Agreement and utility of coded primary and secondary care data for long-term follow-up of clinical trial outcomes.BMC medical research methodology · 2025Article
- Validation of HES coding for the detection of major bleeding events: insights from the ROBOT-ACS study.BMC medical research methodology · 2025Article
- Using routine primary care data in research: (in)efficient case studies and perspectives from the Asthma UK Centre for Applied Research.BMJ health & care informatics · 2025Article
- Using digital tools in clinical, health and social care research: a mixed-methods study of UK stakeholders.BMJ open · 2024Article
- Identification of heart failure hospitalization from NHS Digital data: comparison with expert adjudication.ESC heart failure · 2024Article
- Embedding routine health care data in clinical trials: with great power comes great responsibility.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024Review
- The use of healthcare systems data for RCTs.Trials · 2024Article
- Using healthcare systems data for outcomes in clinical trials: issues to consider at the design stage.Trials · 2024Article
- Clinical outcomes and adverse events of bariatric surgery in adults with severe obesity in Scotland: the SCOTS observational cohort study.Health technology assessment (Winchester, England) · 2024Observational
- Determining prescriptions in electronic healthcare record data: methods for development of standardized, reproducible drug codelists.JAMIA open · 2023Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors.
Funding
Abstract
rationaleClinical trials are the gold standard for testing interventions. COVID-19 has further raised their public profile and emphasised the need to deliver better, faster, more efficient trials for patient benefit. Considerable overlap exists between data required for trials and data already collected routinely in electronic healthcare records (EHRs). Opportunities exist to use these in innovative ways to decrease duplication of effort and speed trial recruitment, conduct and follow-up. APPROACH: The National Institute of Health Research (NIHR), Health Data Research UK and Clinical Practice Research Datalink co-organised a national workshop to accelerate the agenda for 'data-enabled clinical trials'. Showcasing successful examples and imagining future possibilities, the plenary talks, panel discussions, group discussions and case studies covered: design/feasibility; recruitment; conduct/follow-up; collecting benefits/harms; and analysis/interpretation. REFLECTION: Some notable studies have successfully accessed and used EHR to identify potential recruits, support randomised trials, deliver interventions and supplement/replace trial-specific follow-up. Some outcome measures are already reliably collected; others, like safety, need detailed work to meet regulatory reporting requirements. There is a clear need for system interoperability and a 'route map' to identify and access the necessary datasets. Researchers running regulatory-facing trials must carefully consider how data quality and integrity would be assessed. An experience-sharing forum could stimulate wider adoption of EHR-based methods in trial design and execution. DISCUSSION: EHR offer opportunities to better plan clinical trials, assess patients and capture data more efficiently, reducing research waste and increasing focus on each trial's specific challenges. The short-term emphasis should be on facilitating patient recruitment and for postmarketing authorisation trials where research-relevant outcome measures are readily collectable. Sharing of case studies is encouraged. The workshop directly informed NIHR's funding call for ambitious data-enabled trials at scale. There is the opportunity for the UK to build upon existing data science capabilities to identify, recruit and monitor patients in trials at scale.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.