Evidence map›Paper›PMID 39886147›Full record

ArticleBMJ oncology2024

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

Arbaz Kapadi, Gareth Price, Corinne Faivre-Finn, Rebecca Holley, Kate Wicks, Kathryn Banfill, Gareth Webster, Kevin Franks, Fiona McDonald, Daniel Johnson and 1 more

Abstract read
In one paragraph

Article in BMJ oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Arbaz KapadiManchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0009-0005-8272-7901
Gareth PriceDivision of Cancer Sciences, School of Medical Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0003-4353-3360
Corinne Faivre-FinnDivision of Cancer Sciences, School of Medical Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0001-5617-9781
Rebecca HolleyDivision of Cancer Sciences, School of Medical Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0003-4150-3299
Kate WicksDivision of Cancer Sciences, School of Medical Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-7724-9678
Kathryn BanfillDivision of Cancer Sciences, School of Medical Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0003-1832-548X
Gareth WebsterWorcestershire Oncology Centre, Worcestershire Acute Hospitals NHS Trust, Worcester, UK.
Kevin FranksLeeds Cancer Centre, St James's Institute of Oncology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Fiona McDonaldThe Royal Marsden NHS Foundation Trust, London, UK.
Daniel JohnsonJames Cook Cancer Institute, South Tees Hospitals NHS Foundation Trust, Middlesbrough, UK.
David P FrenchManchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-7663-7804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Radiation oncologyRadiotherapy

Identifiers

PMID39886147
PMCPMC11235030

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.