Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype

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, strug...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in digital health Vol. 4; p. 1086652
Main Authors Fanio, Janette, Zeng, Erin, Wang, Brian, Slotwiner, David J, Reading Turchioe, Meghan
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 06.01.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Specialty Section: This article was submitted to Human Factors and Digital Health, a section of the journal Frontiers in Digital Health
Reviewed by: Amalie Dyda, The University of Queensland, Australia Laurie Lovett Novak, Vanderbilt University Medical Center, United States
Edited by: Patrick C. Shih, Indiana University Bloomington, United States
ISSN:2673-253X
2673-253X
DOI:10.3389/fdgth.2022.1086652