What, how, when and who of trial results summaries for trial participants : Stakeholder informed guidance from the RECAP project.

Funding RECAP was funded by the Academy of Medical Sciences (SBF002\1014) and KG was funded by a Medical Research Council Strategic Skills Methodology Fellowship (MR/L01193X/1). The Health Services Research Unit, Institute of Applied Health Sciences (University of Aberdeen), is core funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates (CZU/3/3).Peer reviewedPublisher PD

Realising the full potential of data-enabled trials in the UK : a call for action

Rationale: Clinical 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 inelectronic healthcare records (EHR). Opportunities exist to utilise 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 (HDR UK) and Clinical Practice Research Datalink (CPRD) 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 post-marketing authorisation trials where research-relevant outcome measures are readily collectable. Sharing of case studies is encouraged. The workshop directly informed NIHR’s funding call. ambitious data-enabled trials at scale. There is the opportunity for the United Kingdom to build upon existing data science capabilities to identify, recruit and monitor patients in trials at scale

Presumed consent for organ donation

Is an ethical and effective way of dealing with organ donation shortage

Revisiting the Warnock rule

The seminal 1984 Warnock Report1 established that research on human embryos should be limited to the first 14 days of development (Box 1). Since that time, the rule has been broadly adopted and adhered to across the research community. With the introduction of new methodologies into human embryology, however, our ability to culture human embryos in vitro has progressed rapidly, to the point where we now are reaching the 14-day Rubicon. In August 2016, two groups in the UK and in the US reported experiments on human embryos that were sustained in culture for 12–13 days after fertilization2,3. To comply with British law, the UK lab destroyed its embryo on the 13th day. In the following article, Nature Biotechnology brings together a group of experts to discuss whether, in the light of these advances, it is now time to reassess the 14-day rule

Realising the full potential of data-enabled trials in the UK: a call for action.

RATIONALE: Clinical 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.The workshop was co-funded by National Institute of Health Research (NIHR) Health Technology Assessment Programme, Clinical Practice Research Datalink (CPRD) and Health Data Research UK; MRC grant MC_UU_12023/24 funded the salary of Matthew Syde