Redevelopment of the Predict: Breast Cancer website and recommendations for developing interfaces to support decisionāmaking
Published version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Abstract
Abstract: Objectives: To develop a new interface for the widely used prognostic breast cancer tool: Predict: Breast Cancer. To facilitate decisionāmaking around postāsurgery breast cancer treatments. To derive recommendations for communicating the outputs of prognostic models to patients and their clinicians. Method: We employed a userācentred 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 userācentred 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 decisionāmaking they need carefully designed interfaces. Userācentred design puts patients and clinicians needs at the forefront, allowing them to derive the maximum benefit from prognostic models.
Description
Funder: David and Claudia Harding Foundation