Accepted for/Published in: JMIR Human Factors
Date Submitted: Jun 10, 2020
Date Accepted: Dec 23, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Developing a decision aid to facilitate patient-provider conversations about mechanical ventilation and lung transplantation to treat cystic fibrosis: lessons learned from usability testing
ABSTRACT
Background:
Cystic fibrosis (CF) is a life-limiting genetic disease that causes chronic lung infections. We developed an internet-based decision aid (decision aid) to help CF patients make better informed decisions regarding treatments and advance care planning (ACP). We built the decision aid around two major treatment decisions: whether or not to have a lung transplant, and whether or not to agree to intubation.
Objective:
To present results from iterative usability testing of the InformedChoices Cystic Fibrosis advance care planning decision aid among adults with cystic fibrosis, their clinicians and family caregivers.
Methods:
We performed a patient needs assessment and “think aloud” usability testing with CF patients, their surrogates, and clinicians caring for CF patients. “Think aloud” participants provided feedback while navigating the decision aid and answered surveys. Session transcripts and survey results were categorized into common, generalizable themes and optimizations for improving content, comprehension, and navigation.
Results:
Participants gave the decision aid an average System Usability Scale (SUS) score of 88.33 (“excellent”). Comments were coded into three themes: Functionality, Visibility and Navigation, and Content and Usefulness. Areas for improvement included reducing repetition, enhancing comprehension, and changing the flow.
Conclusions:
Usability testing revealed areas for potential improvement. Testing also yielded positive feedback, suggesting the decision aid’s future success.Integrating changes prior to implementation should improve the decision aid’s comprehension, navigation, and usefulness, and lead to greater adoption.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.