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dc.contributor.authorFarmer, George D.; orcid: 0000-0003-2882-0310; email: george.farmer@manchester.ac.uk
dc.contributor.authorPearson, Mike; orcid: 0000-0002-8161-2660
dc.contributor.authorSkylark, William J.; orcid: 0000-0002-3375-2669
dc.contributor.authorFreeman, Alexandra L. J.; orcid: 0000-0002-4115-161X
dc.contributor.authorSpiegelhalter, David J.; orcid: 0000-0001-9350-6745
dc.date.accessioned2021-06-21T11:12:09Z
dc.date.available2021-06-21T11:12:09Z
dc.date.issued2021-06-21
dc.date.submitted2020-11-20
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/625010/cam4.4072.pdf?sequence=2
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/625010/cam4.4072.xml?sequence=3
dc.identifier.citationCancer Medicine
dc.identifier.urihttp://hdl.handle.net/10034/625010
dc.descriptionFrom Wiley via Jisc Publications Router
dc.descriptionHistory: received 2020-11-20, rev-recd 2021-05-30, accepted 2021-05-31, pub-electronic 2021-06-21
dc.descriptionArticle version: VoR
dc.descriptionPublication status: Published
dc.descriptionFunder: David and Claudia Harding Foundation
dc.descriptionFunder: Wellcome ISSF; Grant(s): 204796/Z/16/Z
dc.description.abstractAbstract: Objectives: To develop a new interface for the widely used prognostic breast cancer tool: Predict: Breast Cancer. To facilitate decision‐making around post‐surgery breast cancer treatments. To derive recommendations for communicating the outputs of prognostic models to patients and their clinicians. Method: We employed a user‐centred design process comprised of background research and iterative testing of prototypes with clinicians and patients. Methods included surveys, focus groups and usability testing. Results: The updated interface now caters to the needs of a wider audience through the addition of new visualisations, instantaneous updating of results, enhanced explanatory information and the addition of new predictors and outputs. A programme of future research was identified and is now underway, including the provision of quantitative data on the adverse effects of adjuvant breast cancer treatments. Based on our user‐centred design process, we identify six recommendations for communicating the outputs of prognostic models including the need to contextualise statistics, identify and address gaps in knowledge, and the critical importance of engaging with prospective users when designing communications. Conclusions: For prognostic algorithms to fulfil their potential to assist with decision‐making they need carefully designed interfaces. User‐centred design puts patients and clinicians needs at the forefront, allowing them to derive the maximum benefit from prognostic models.
dc.languageen
dc.rightsLicence for VoR version of this article: http://creativecommons.org/licenses/by/4.0/
dc.sourceissn: 2045-7634
dc.subjectORIGINAL RESEARCH
dc.subjectbreast cancer
dc.subjectcancer management
dc.subjectprognosis
dc.subjectrisk assessment
dc.subjecttranslational research
dc.titleRedevelopment of the Predict: Breast Cancer website and recommendations for developing interfaces to support decision‐making
dc.typearticle
dc.date.updated2021-06-21T11:12:09Z
dc.date.accepted2021-05-31


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