Feasibility of implementing a rapid-learning methodology to inform radiotherapy treatments: key professional stakeholders' views.

Abstract

Objective: 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).

Methods and analysis: 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.

Results: 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.

Conclusion: 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.