Bristol Myers Squibb Pharmaceutical Ltd, Uxbridge, UK.
Health Economics and Outcomes Research Ltd, Cardiff, UK.
BMC Prim Care. 2024 Jan 2;25(1):7. doi: 10.1186/s12875-023-02246-8.
Conducting effective and translational research can be challenging and few trials undertake formal reflection exercises and disseminate learnings from them. Following completion of our multicentre randomised controlled trial, which was impacted by the COVID-19 pandemic, we sought to reflect on our experiences and share our thoughts on challenges, lessons learned, and recommendations for researchers undertaking or considering research in primary care.
Researchers involved in the Prediction of Undiagnosed atriaL fibrillation using a machinE learning AlgorIthm (PULsE-AI) trial, conducted in England from June 2019 to February 2021 were invited to participate in a qualitative reflection exercise. Members of the Trial Steering Committee (TSC) were invited to attend a semi-structured focus group session, Principal Investigators and their research teams at practices involved in the trial were invited to participate in a semi-structured interview. Following transcription, reflexive thematic analysis was undertaken based on pre-specified themes of recruitment, challenges, lessons learned, and recommendations that formed the structure of the focus group/interview sessions, whilst also allowing the exploration of new themes that emerged from the data.
Eight of 14 members of the TSC, and one of six practices involved in the trial participated in the reflection exercise. Recruitment was highlighted as a major challenge encountered by trial researchers, even prior to disruption due to the COVID-19 pandemic. Researchers also commented on themes such as the need to consider incentivisation, and challenges associated with using technology in trials, especially in older age groups.
Undertaking a formal reflection exercise following the completion of the PULsE-AI trial enabled us to review experiences encountered whilst undertaking a prospective randomised trial in primary care. In sharing our learnings, we hope to support other clinicians undertaking research in primary care to ensure that future trials are of optimal value for furthering knowledge, streamlining pathways, and benefitting patients.
进行有效的转化研究可能具有挑战性,很少有试验进行正式的反思练习并传播从中获得的经验教训。在我们的多中心随机对照试验完成后,我们试图反思我们的经验,并分享我们对在初级保健中进行或考虑研究的研究人员所面临的挑战、经验教训和建议的看法。该试验于 2019 年 6 月至 2021 年 2 月在英格兰进行,受到 COVID-19 大流行的影响。
参与 Prediction of Undiagnosed atriaL fibrillation using a machinE learning AlgorIthm(PULsE-AI)试验的研究人员被邀请参加定性反思练习。邀请试验指导委员会(TSC)的成员参加半结构化焦点小组会议,邀请参与试验的实践的主要研究者及其研究团队参加半结构化访谈。转录后,根据预先确定的主题进行反思性主题分析,这些主题包括招募、挑战、经验教训和建议,这些主题构成了焦点小组/访谈会议的结构,同时也允许从数据中探索出现的新主题。
14 名 TSC 成员中的 8 名和参与试验的 6 个实践中的 1 名参加了反思练习。研究人员强调,即使在 COVID-19 大流行之前,招募也是试验研究人员遇到的主要挑战之一。研究人员还就激励措施的必要性以及在试验中使用技术的挑战(尤其是在年龄较大的人群中)等主题发表了意见。
在完成 PULsE-AI 试验后进行正式的反思练习使我们能够回顾在初级保健中进行前瞻性随机试验时遇到的经验。通过分享我们的经验教训,我们希望支持其他在初级保健中进行研究的临床医生,以确保未来的试验能够为推进知识、简化途径和造福患者提供最佳价值。