AUTHOR=Fanio Janette , Zeng Erin , Wang Brian , Slotwiner David J. , Reading Turchioe Meghan TITLE=Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype JOURNAL=Frontiers in Digital Health VOLUME=4 YEAR=2023 URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2022.1086652 DOI=10.3389/fdgth.2022.1086652 ISSN=2673-253X ABSTRACT=

Shared decision-making (SDM) empowers patients and care teams to determine the best treatment plan in alignment with the patient's preferences and goals. Decision aids are proven tools to support high quality SDM. Patients with atrial fibrillation (AF), the most common cardiac arrhythmia, struggle to identify optimal rhythm and symptom management strategies and could benefit from a decision aid. In this Brief Research Report, we describe the development and preliminary evaluation of an interactive decision-making aid for patients with AF. We employed an iterative, user-centered design method to develop prototypes of the decision aid. Here, we describe multiple iterations of the decision aid, informed by the literature, expert feedback, and mixed-methods design sessions with AF patients. Results highlight unique design requirements for this population, but overall indicate that an interactive decision aid with visualizations has the potential to assist patients in making AF treatment decisions. Future work can build upon these design requirements to create and evaluate a decision aid for AF rhythm and symptom management.