Evidence map›Paper›PMID 41991271›Full record

ArticleBMJ open2026

Development of the PREDICT-Kidney online tool to promote informed decision-making about kidney cancer follow-up care: a qualitative co-design study.

Chiara Re, Georgia Stimpson, Grant D Stewart, Jack Bromley, Stephanie Archer, Carley Batley, Angela Godoy, Juliet Usher-Smith, Hannah Harrison

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Chiara ReDepartment of Surgery, University of Cambridge, Cambridge, UK chiara.re1@nhs.net.ORCID http://orcid.org/0000-0001-8908-0817
Georgia StimpsonDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Grant D StewartDepartment of Surgery, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-3188-9140
Jack BromleyDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Stephanie ArcherDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-1349-7178
Carley BatleyCRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge, UK.
Angela GodoyCRUK Cambridge Centre, Cambridge Biomedical Campus, Cambridge, UK.
Juliet Usher-SmithDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8501-2531
Hannah HarrisonDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-8952-852X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCo-design of the PREDICT-Kidney online tool by patients, members of the public and healthcare professionals (HCPs), to support the communication of the risk of recurrence following surgical treatment for kidney cancer.

designQualitative co-design study. Using an iterative process, feedback was collected (via workshops), prioritised and implemented.

settingOnline workshops with participants from across the UK were conducted between December 2023 and November 2024.

participants18 adult participants, including patients surgically treated for kidney cancer, members of the public without a history of kidney cancer and HCPs involved in kidney cancer care. PRIMARY AND SECONDARY OUTCOMES: To produce an online tool to support the communication of risk of kidney cancer recurrence that is easy to use, easy to understand and acceptable to stakeholders. Secondary outcomes are the properties of the feedback collected, including volume and type.

resultsAcross nine workshops, 99 discrete feedback items were collected, resulting in 71 actionable changes to the initial prototype tool. Differences in priorities were observed between participant groups, especially around the inclusion of information about competing risks of death. Participants valued the tool for improving consistency of follow-up information, supporting shared decision-making and providing multiple visual formats to communicate risk. Iterative feedback led to refinements in terminology, design, content and delivery, including adjustments to the presentation of recurrence and mortality risk.

conclusionsA co-design approach was used to improve the PREDICT-Kidney online tool to align with the needs of patients and HCPs. A feasibility study is required to evaluate its use and impact in clinical practice.

Indexed as

AftercareDecision MakingDecision Making, SharedKidney NeoplasmsNeoplasm Recurrence, LocalAdultAgedCommunicationFemaleHumansInternetMaleMiddle AgedQualitative ResearchUnited KingdomFollow-Up StudiesKidney tumoursPatient-Centered CareResearch Design

Identifiers

PMID41991271
PMCPMC13110639

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Registered trials

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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.