Cargando…
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854261/ https://www.ncbi.nlm.nih.gov/pubmed/36685619 http://dx.doi.org/10.3389/fdgth.2022.1086652 |
_version_ | 1784873079494672384 |
---|---|
author | Fanio, Janette Zeng, Erin Wang, Brian Slotwiner, David J. Reading Turchioe, Meghan |
author_facet | Fanio, Janette Zeng, Erin Wang, Brian Slotwiner, David J. Reading Turchioe, Meghan |
author_sort | Fanio, Janette |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9854261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98542612023-01-21 Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype Fanio, Janette Zeng, Erin Wang, Brian Slotwiner, David J. Reading Turchioe, Meghan Front Digit Health Digital Health 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. Frontiers Media S.A. 2023-01-06 /pmc/articles/PMC9854261/ /pubmed/36685619 http://dx.doi.org/10.3389/fdgth.2022.1086652 Text en © 2023 Fanio, Zeng, Wang, Slotwiner and Reading Turchioe. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health Fanio, Janette Zeng, Erin Wang, Brian Slotwiner, David J. Reading Turchioe, Meghan Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype |
title | Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype |
title_full | Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype |
title_fullStr | Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype |
title_full_unstemmed | Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype |
title_short | Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype |
title_sort | designing for patient decision-making: design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9854261/ https://www.ncbi.nlm.nih.gov/pubmed/36685619 http://dx.doi.org/10.3389/fdgth.2022.1086652 |
work_keys_str_mv | AT faniojanette designingforpatientdecisionmakingdesignchallengesgeneratedbypatientswithatrialfibrillationduringevaluationofadecisionaidprototype AT zengerin designingforpatientdecisionmakingdesignchallengesgeneratedbypatientswithatrialfibrillationduringevaluationofadecisionaidprototype AT wangbrian designingforpatientdecisionmakingdesignchallengesgeneratedbypatientswithatrialfibrillationduringevaluationofadecisionaidprototype AT slotwinerdavidj designingforpatientdecisionmakingdesignchallengesgeneratedbypatientswithatrialfibrillationduringevaluationofadecisionaidprototype AT readingturchioemeghan designingforpatientdecisionmakingdesignchallengesgeneratedbypatientswithatrialfibrillationduringevaluationofadecisionaidprototype |