STRUCTURED ABSTRACT
Objective
We aimed to create decision aids (DAs) for patients considering destination therapy left ventricular assist device (DT LVAD).
Background
DT LVAD is a major decision for patients with end-stage heart failure. Patients facing decisions with complex tradeoffs may benefit from high-quality decision support resources.
Methods
Following the International Patient Decision Aid Standards (IPDAS) guidelines and based on a needs assessment with stakeholders, we developed drafts of paper and video DAs. With input from patients, caregivers, and clinicians through alpha testing, we iteratively modified the DAs to ensure acceptability.
Results
We conducted semi-structured interviews with 24 patients, 20 caregivers, and 24 clinicians to assess readability, bias, and usability of the DAs. Stakeholder feedback allowed us to integrate aspects critical to decision-making around highly invasive therapies for life-threatening diseases, including addressing emotion and fear of death, using gain frames for all options that focus on living, highlighting palliative and hospice care, integrating the caregiver role, and utilizing a range of balanced testimonials. After 19 iterative versions of the paper DA and four versions of the video DA, final materials were made available for wider use.
Conclusion
We developed the first IPDAS-level DAs for DT LVAD. Given the extreme nature of this medical decision, we augmented traditional DA characteristics with non-traditional DA features to address a spectrum of cognitive, automatic, and emotional aspects of end-of-life decision-making. Not only are the DAs important tools for those confronting end-stage heart failure, but the lessons learned will likely inform decision support for other invasive therapies.
UNSTRUCTURED ABSTRACT
Destination therapy left ventricular assist device (DT LVAD) is a major decision for patients with end-stage heart failure. We aimed to create decision aids (DAs) to support patients and their caregivers considering DT LVAD. After developing initial drafts of paper and video DAs, we conducted alpha testing through interviews with 24 patients, 20 caregivers, and 24 clinicians and iteratively modified the DAs. This allowed us to integrate aspects critical to decision-making around highly invasive therapies for life-threatening diseases and to augment traditional DA characteristics with non-traditional DA features to attend to a spectrum of cognitive, automatic, and emotional aspects.