Kapadi Arbaz, Price Gareth, Faivre-Finn Corinne, Holley Rebecca, Wicks Kate, Banfill Kathryn, Webster Gareth, Franks Kevin, McDonald Fiona, Johnson Daniel, French David P
Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, The University of Manchester, Manchester, UK.
Division of Cancer Sciences, School of Medical Sciences, The University of Manchester, Manchester, UK.
BMJ Oncol. 2024 Mar 13;3(1):e000226. doi: 10.1136/bmjonc-2023-000226. eCollection 2024.
Pragmatic methodologies, often termed rapid-learning, are being pursued that can match the pace of innovation in radiotherapy and generate evidence from the real-world treatment setting. It is important to understand the feasibility of implementing such pragmatic approaches before their application in practice. This study investigated key professional stakeholders' perceptions and opinions of rapid-learning and real-world data (RWD).
Twenty-three interviews were conducted with key professional stakeholders based across five UK radiotherapy cancer centres. Centres varied in size and reflected different healthcare environments. Data were collected between December 2022 and May 2023, and analysed using inductive thematic analysis.
Four themes were generated: (1) the alignment of rapid-learning methodologies with the reality of practice, (2) concerns related to the variability of RWD, (3) the maturity of data infrastructures and capacity for rapid-learning and (4) further support, education and evidence needed to convince stakeholders to adopt rapid-learning approaches.
The potential of rapid-learning to help address evidence gaps in radiotherapy development was positively received by different professional stakeholders. However, the effectiveness of rapid-learning was viewed as being highly dependent on the collection of quality data in the routine setting, while the variable set-up at different cancer centres is also likely to be a key challenge for potential implementation. Developing data infrastructures to improve data interoperability was considered crucial for rapid-learning implementation, along with method clarity, educational support and training for radiotherapy teams.
正在探索实用方法,通常称为快速学习法,其能够跟上放射治疗创新的步伐,并从实际治疗环境中生成证据。在将此类实用方法应用于实践之前,了解其实施的可行性很重要。本研究调查了关键专业利益相关者对快速学习法和真实世界数据(RWD)的看法和意见。
对英国五个放射治疗癌症中心的关键专业利益相关者进行了23次访谈。各中心规模不同,反映了不同的医疗环境。数据收集于2022年12月至2023年5月期间,并采用归纳主题分析法进行分析。
产生了四个主题:(1)快速学习法与实践现实的契合度;(2)与真实世界数据变异性相关的担忧;(3)数据基础设施的成熟度以及快速学习的能力;(4)要说服利益相关者采用快速学习法所需的进一步支持、教育和证据。
不同专业利益相关者对快速学习法有助于填补放射治疗发展中证据空白的潜力给予了积极认可。然而,快速学习法的有效性被认为高度依赖于常规环境中高质量数据的收集,而不同癌症中心的不同设置也可能是潜在实施中的一个关键挑战。开发数据基础设施以提高数据的互操作性被认为对快速学习法的实施至关重要,同时还需要明确方法、提供教育支持以及对放射治疗团队进行培训。