SENSITISE (Inclusive clinical trials education)

@sensitise-eu.bsky.social

ERASMUS+ Cooperation Partnerships funded grant to develop free training and education materials for trialists

An audit at a UK primary care CTU assessed the inclusion of underserved groups in trials in this #MethodologyMonday. The authors conclude that many explicit exclusions may not be strictly necessary & call for more inclusive eligibility criteria & standardised data collection doi.org/10.1186/s130...

Inclusion of under-served groups in trials: an audit at a UK primary care clinical trials unit - Trials

Background Clinical trials need to include patients who are representative of the population who may receive the tested interventions in the future. The importance of inclusivity is recognised by ethical and funding bodies and has public support. Appropriate inclusion is required to provide equitable evidence-based healthcare and to comply with ethical principles for research. However, there is little information about the inclusivity of most under-served groups in UK clinical trials. Methods This audit assesses the inclusion of under-served groups in trials run by the Oxford Primary Care Clinical Trials Unit (PC-CTU). We included trials with ethical approval between 2017 and 2023. We checked protocols, patient-facing information and selected data collection tools for information on the under-served groups in the INCLUDE guidance and protected characteristics in the UK Equality Act 2010, to identify explicit exclusions and data collection. Results We included 19 trials. They were in a variety of clinical conditions, testing different types of interventions, both Clinical Trial of an Investigational Medicinal Product (CTIMP) and non-CTIMP. Most were non-commercially funded. We reviewed 21 protocols, 29 Patient Information Sheets/Leaflets and 40 data collection tools. Common exclusions were based on age (19), sex or gender (11), language (8), capacity to consent (14), pregnancy (11), multiple health conditions (10) and severity of illness (17). Trials most often collected data on age (19), sex or gender (15), ethnicity (16), education (11), address (13), mental health conditions (6), who gave consent (19), addiction (6), multiple health conditions (10), severity of illness (17), smoking status (12) and obesity (13). Conclusions Often, exclusions were due to the focusing of the trial for a specific group, such as older people, women, or people being treated for a specific severity of condition. However, many explicit exclusions may not have been essential, may have reduced the inclusivity of the trials and might limit the applicability of the trial’s findings to people to whom the tested interventions might be relevant. These include the exclusion of people aged under 18, people without English language fluency and people without capacity to consent. All trials could have collected more informative data on under-served group status.

doi.org

Oct #MethodologyMonday focuses on a recent editorial: the usefulness of trial data depends crucially on transparent, consistent reporting of who was actually enrolled, not could have been. Trials will introduce a requirement to address this (01/2026). trialsjournal.biomedcentral.com/articles/10....

Who is in your trial? Improving the reporting of participant characteristics in trial protocols and results - Trials

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trialsjournal.biomedcentral.com

How is diversity integrated into decentralised clinical trials? The authors list 2 key areas linked to participant selection that should be prioritised for #MethodologyMonday. Diversity in decentralized clinical trials: prioritizing inclusion of underrepresented groups. doi.org/10.1186/s129...

Diversity in decentralized clinical trials: prioritizing inclusion of underrepresented groups - BMC Medical Ethics

Background The importance of more diversity of study populations in clinical trials is currently widely acknowledged. Decentralized clinical trial (DCT) approaches are presented as a potential means to broaden diversity by eliminating several barriers to participation. However, the precise meaning of, and objectives related to diversity in DCTs remain unclear. Diversity runs the risk of becoming a ‘buzzword’: widely acknowledged to be important, yet prone to multiple interpretations and challenging to implement in practice. We argue that the aim of increasing diversity in clinical trials requires clear and well-substantiated specifications. Methods We analyze the concept of diversity and the ethical requirements surrounding fair participant selection within the context of clinical research, in order to further specify and operationalize the aim of increasing diversity in the context of DCTs. Results Through analyzing the concept of diversity and ethical requirements for fair participant selection, we propose that diversity should be specified in a way that improves the position of the groups that are currently most underrepresented in the research context. In practice, this entails that, in order to contribute to diversity, the selection of participants should prioritize (i) gaining scientific knowledge on groups for which this is lacking, and (ii) inclusion of underrepresented groups in research when appropriate considering a study’s objectives, and risks and benefits. Conclusions Our analysis facilitates translating the aim of increasing diversity with DCTs to more specific and actionable objectives for recruitment and inclusion. Moreover, it contributes to a further specification of the concept of diversity and fair participant selection in research contexts.

doi.org