Keywords
Core outcome sets, trials, trial methodology
Core outcome sets, trials, trial methodology
Core outcome sets (COS) are agreed-upon sets of outcomes that should be measured and reported in all trials in specific health areas1. COS are usually developed using input from broad stakeholders, such as researchers (including trialists), healthcare professionals, patient/public representatives, and research funders2. COS are used and/or recommended for use by these stakeholders1,2. COS use involves trialists including the COS in the trial design, measuring the COS outcomes during the trial, and reporting the COS outcomes in the final trial report. Use of COS facilitates evidence syntheses1,3,4 and can reduce outcome heterogeneity5, selective outcome reporting6, and research waste7. Despite the benefits of using COS in trials, low COS use has been demonstrated across multiple areas of health research8–11. Low use of COS is problematic because it means that methodological improvements associated with COS are not finding their way into trial conduct quickly enough.
Previous research has examined potential reasons for low COS use in trials, including identification of barriers and facilitators to COS use among researchers with trials registered on the International Standard Randomised Controlled Trial Number (ISRCTN) Registry11, researchers who submitted funding applications to the National Institute for Health Research Health Technology Assessment (NIHR HTA) programme12, researchers named as chief investigators of NIHR HTA funded trials13, and researchers who published a trial report in a major medical journal (e.g., The Lancet, BMJ)8. Identified barriers to COS use include poor knowledge about existence of COS, and perceived outcome measurement issues, including patient burden8,13. Facilitators for COS use include good trialist knowledge about what COS are and how to use them, perceived importance of COS in trials, and having funder or professional recommendations or requirements to use COS in funded research8,13.
Whether or not trialists use COS in their trials can be understood as a behaviour because COS use is something trialists do, or not do. As such, COS use in trials might be modified and increased through theoretically informed behaviour change strategies. The Behaviour Change Wheel (BCW) provides a useful theoretically based framework14 to identify and develop behaviour change strategies for COS use. The BCW framework includes the COM-B model, in which behaviour is predicated on an individual’s capability, opportunity, and motivation to engage in that behaviour14,15. Following the COM-B model, for a behaviour to occur, an individual must have the physical and psychological capability, social and physical opportunity, and reflective and automatic motivation to engage in the behaviour14,15. In addition to the COM-B model, the BCW also includes systematic guidance on identifying targeted intervention components and content in the form of intervention functions and behaviour change techniques (BCTs)14–16. Adopting a behavioural science approach to understanding COS use behaviours and developing strategies to increase COS use using the BCW has the potential to maximise benefits of COS and improve the quality of trials and evidence-based practice. Incorporating views from relevant stakeholders, including trialists, healthcare professionals, and patients and the public, in such an approach further ensures that developed strategies are very likely to be relevant, feasible, and acceptable to those who should use COS.
The overall project aim is to identify stakeholder-prioritised strategies, informed by the BCW, to increase trialist use of COS in trials. The findings of this project will provide an understanding of the behavioural factors that influence COS use in trials, what strategies might be used to target these factors to increase COS use, and what strategies key stakeholders perceive as particularly important to enhance future COS use in trials.
We will achieve the overall project aim by examining behavioural factors identified in the previous research8,11–13 that influence whether or not trialists use COS. The focus is on the individual trialist behaviour, rather than broader system behaviours and factors, which are being examined in a separate project17. We will then map these factors to behaviour change strategies that will subsequently be prioritised by stakeholders (i.e., researchers, clinicians, journal editors, funding bodies, and patient/public representatives). This project will be conducted in three sequential stages to identify and prioritise behaviour change strategies that could enhance COS use in trials.
Stage 1 is informed by the first phase of the BCW, which involves understanding the behaviour to be examined (i.e., use of COS in trials). This includes defining the components of the behaviour in terms of who, what, where, when, and how often the behaviour is done. Existing data from recently published examinations of COS use8,11–13 and research team expertise will be used to understand and define use of COS in trials for these components.
Following on from behavioural specification of COS use in trials, barriers to and enablers of this behaviour will be extracted from four recent studies (all published since 2019) that examined trialist use of COS:
1. A review and survey of COS use in a cohort of trials published in major medical journals8.
2. A review and survey of COS use in funding applications submitted to the NIHR HTA programme12.
3. A survey of trialists named as the contact person for trials registered on the ISRCTN Registry11.
4. A qualitative study of trialist barriers and facilitators to COS use13.
Barriers and facilitators will be extracted verbatim from the four papers and will be coded to the components of COM-B framework14,15 to identify behavioural components influencing trialist use of COS. These components include capability (physical and psychological), opportunity (physical and social) and motivation (automatic and reflective). The previously conducted qualitative study of trialist barriers and facilitators to COS use13, utilised the COM-B framework to guide analysis, and so will inform the approach taken in the current study. One investigator will conduct initial coding using a standardised coding form (Extended Data). All coding will be verified by a second investigator, with any discrepancies discussed to reach consensus, involving a third investigator as needed; all investigators involved in coding will have prior experience in coding using the COM-B framework. The findings from this coding will be synthesised narratively and using matrices, guided by COM-B as a deductive framework to identify behavioural components influencing COS use in trials.
The BCW framework14,15 will be applied to identify and select intervention functions to enhance COS use by trialists in trials. Intervention functions are ‘broad categories of means by which an intervention can change behaviour’ (e.g., incentivisation, training)14. Intervention functions map on to COM-B components14 and can be used in isolation or together to develop behavioural strategies. Stage 2 will use the findings of Stage 1 to identify potential intervention functions by mapping identified behavioural components to corresponding intervention functions. For example, the behavioural component ‘psychological capability’ maps on to the intervention functions ‘training’, ‘education’, and ‘enablement’14. Where multiple intervention functions are identified, we will ensure that the selected intervention functions are affordable, practical, effective/cost-effective, acceptable, safe, and equitable (the APEASE criteria)14. Two investigators will independently apply the APEASE criteria to each identified intervention function, with APEASE criteria rated as ‘yes’, ‘no’, or ‘unsure’; any disagreements will be resolved by discussion, involving a third investigator as needed. Rationale for each decision made using the APEASE criteria will be also documented on the standardised APEASE template (Extended Data).
We will also identify potential intervention content in terms of BCTs. BCTs are irreducible, observable, and replicable active ingredients of an intervention designed to change behaviour that can be mapped from identified intervention functions14. BCTs will be identified using the BCT Taxonomy Version 1 (BCTTv1)16. Each BCT will be operationalised by translating it from the BCTTv1 definition to a concrete application; for example, the BCT ‘demonstration of the behaviour’ may be operationalised as delivering a workshop for trialists demonstrating how COS can be included in trials. As with intervention functions, two investigators will independently screen BCTs using the APEASE criteria to evaluate identified BCTs based on the APEASE criteria14. Rationale for each decision made using the APEASE criteria will be documented on a standardised template (Extended data) and any disagreements will be resolved by discussion, involving a third investigator as needed.
We will conduct an online stakeholder consensus meeting18 to prioritise identified intervention approaches that will inform future research to increase COS use in trials. The prioritisation meeting will be conducted using the Nominal Group Technique (NGT) approach19 and following recent guidance from the Core Outcome Measures for Effectiveness Trials (COMET) Initiative18.
Participants: Members of relevant trials methodology and outcome specific groups will be invited to participate in the consensus meeting via an email invitation circulated to all group members, including those sitting on group executive and steering committees as well as group mailing lists. Relevant gatekeepers for groups will be contacted to facilitate dissemination of the email invitation where needed. Groups to be included are the Health Research Board Trial Methodology Research Network (HRB TMRN) and the Medical Research Council National Institute for Health Research Trial Methodology Research Partnership (MRC-NIHR-TMRP), both of which represent national and transnational networks and partnerships of researchers working in trial methodology. Members of the Red Hat Group, which includes several initiatives related to improving choice of outcomes in health research (e.g., Outcome Measures in Rheumatoid Arthritis Clinical Trials [OMERACT] and Consensus-based Standards for the Selection of Health Measurement Instruments [COSMIN]) will also be recruited20. Healthcare professionals and patient/public representatives will be identified from existing networks, trials and/or outcomes research by the study team and invited to participate via direct email contact. The meeting will include 10 to 15 participants, with recruitment focused on diversity of expertise and representativeness across stakeholder groups. This sample size represents a feasible number to facilitate online participant discussions and input to achieve consensus on priority approaches for future research18.
Consensus meeting: Before the meeting, participants will receive a lay language summary of the intervention functions and BCTs identified in Stage 2. Participants will receive an information leaflet outlining the purpose and process of the stakeholder meeting, including the COMET plain language summary of the NGT (available at the COMET Initiative website www.comet-initiative.org). Intervention functions and the associated BCTs will be presented to participants by the meeting facilitator. Participants will then engage in break-out group discussions about the intervention functions and BCTs, including consideration of the ease of implementation and anticipated effectiveness of the presented approaches. The number of intervention functions and BCTs discussed by each break-out group will be dependent on the preceding stages; if a large number of intervention functions and/or BCTs are identified, these will be randomly allocated for discussion across the break-out groups. Participants will also be encouraged to suggest any additional ideas about behavioural strategies at this stage. Following the break-out discussions, each break-out group will present back to the full group. Further discussion will then take place to clarify and/or further discuss any points raised in the break-out groups. Participants will then rank intervention functions and BCTs by perceived importance for future research, considering ease of implementation, feasibility, and potential effectiveness. These rankings will be presented to and discussed with the participants, and a final round of ranking will follow with the aim of reaching consensus on a prioritised list of strategies to target in future research.
The meeting will conclude with a planning activity for future research. This activity will also use structured break-out group discussions followed by full-group discussions. The discussion will address potential future studies (e.g., topics, methodological approaches), funding opportunities (e.g., current or future national and international funding announcements), and collaborators.
All research activities will be conducted following the University College Cork (UCC) Code of Research Conduct ethical approval and in accordance with General Data Protection Regulations (GDPR). Stages one and two do not involve any potential ethical issues because they relate to reviewing and synthesising evidence from the existing literature. For the Stage three consensus meeting, ethical approval will be sought and obtained from the Social Research Ethics Committee in University College Cork. Participants will be provided with full study information before the study, in which it will be made clear that participation is voluntary, that the meeting will be recorded for data collection purposes (the recording will not be shared publicly), and that all ranking data will be recorded and stored anonymously. The recording will be deleted after completion of the project.
This study is registered on the Open Science Framework (DOI:10.17605/OSF.IO/GWYZS); accompanying data and materials will also be made openly available upon study completion on the Open Science Framework. The study findings will be submitted for publication in a peer-reviewed journal and disseminated through presentations to the working groups and the MRC-NIHR TMRP and the HRB-TMRN, at conferences, and through social media.
Use of COS in trials can benefit evidence syntheses1,3,4, in addition to reducing outcome heterogeneity5, selective outcome reporting6, and research waste7. This project will provide information on stakeholder-prioritised strategies, informed by behavioural science, to enhance COS use in trials. The results will therefore provide the foundation for future methodology research and development and implementation of strategies to maximise COS use in trials.
Open Science Framework: Enhancing COS Use in Trials, https://doi.org/10.17605/OSF.IO/BN3YQ (Matvienko-Sikar et al., 2022)
This project contains the following extended data:
Supplementary File 1: Coding barriers and facilitators to COM-B components
Supplementary File 2. Selection of Intervention Functions
Supplementary File 3. Selection of Behaviour Change Techniques (BCTs)
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Not applicable
References
1. Marques MM, Wright AJ, Corker E, Johnston M, et al.: The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1.Wellcome Open Res. 2023; 8: 308 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Health behaviour change; evidence synthesis; development and evaluation of theory-based interventions
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Epidemiology, Global Health Science, Clinical Informatics
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