Abstract:Stroke is one of the leading causes of death and long-term disability in the United States. Though advances in interventions have improved patient survival after stroke, prognostication of long-term functional outcomes remains challenging, thereby complicating discussions of treatment goals. Stroke patients who require intensive care unit care often do not have the capacity themselves to participate in decision making processes, a fact that further complicates potential end-of-life care discussions after the i… Show more
“…Patients also expressed a clear desire for explanations that used simple, non-medical jargon, even when they were familiar with certain medical terms. Consistent and non-medical terms are shown to reduce patient confusion (49). As in prior studies (42,44), patients in our study strongly preferred to discuss their treatment options with their care team rather than view the decision aid independently.…”
Section: Challenge 1: Manage Patient Anxiety Without Withholding Info...supporting
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.
“…Patients also expressed a clear desire for explanations that used simple, non-medical jargon, even when they were familiar with certain medical terms. Consistent and non-medical terms are shown to reduce patient confusion (49). As in prior studies (42,44), patients in our study strongly preferred to discuss their treatment options with their care team rather than view the decision aid independently.…”
Section: Challenge 1: Manage Patient Anxiety Without Withholding Info...supporting
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.
“…Time plays a pivotal role in SDM in intensive care. While discussion of patients’ goals and values is important for determining which critical care interventions are suitable, the urgency of patients’ needs in the ICU makes it difficult to engage in SDM; outcomes can often be tied to the timeliness of the intervention, introducing a powerful time pressure ( 14 , 15 ). Indeed, there is significant evidence to suggest that ICU clinician-family conferences about treatment planning often lack important elements of SDM ( 1 , 4 ).…”
Section: Introductionmentioning
confidence: 99%
“…Time is a relevant factor for ICU decision-making not only in regards to urgency, but also because patients’ preferences tend to evolve ( 18 , 19 ). A key characteristic of shared decision making that needs to be considered is that goal of care discussions are often iterative, changing over time ( 14 , 20 ). Even when impressions of the individual's goals and values remain stable, changing prognosis and the developing nature of the situation mean that treatment should be continuously re-evaluated to ensure it best reflects the patient's preferences ( 21 – 23 ).…”
In the intensive care unit, it can be challenging to determine which interventions align with the patients' preferences since patients are often incapacitated and other sources, such as advance directives and surrogate input, are integral. Managing treatment decisions in this context requires a process of shared decision-making and a keen awareness of the preference-sensitive instances over the course of treatment. The present paper examines the need for the development of preference-sensitive decision timelines, and, taking aneurysmal subarachnoid hemorrhage as a use case, proposes a model of one such timeline to illustrate their potential form and value. First, the paper draws on an overview of relevant literature to demonstrate the need for better guidance to (a) aid clinicians in determining when to elicit patient preference, (b) support the drafting of advance directives, and (c) prepare surrogates for their role representing the will of an incapacitated patient in clinical decision-making. This first section emphasizes that highlighting when patient (or surrogate) input is necessary can contribute valuably to shared decision-making, especially in the context of intensive care, and can support advance care planning. As an illustration, the paper offers a model preference-sensitive decision timeline—whose generation was informed by existing guidelines and a series of interviews with patients, surrogates, and neuro-intensive care clinicians—for a use case of aneurysmal subarachnoid hemorrhage. In the last section, the paper offers reflections on how such timelines could be integrated into digital tools to aid shared decision-making.
“…Numerous studies have emphasized the need for palliative care and the importance of including palliative care expertise in the treatment of stroke patients with severe disease courses (24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37). Respect for the patient's dignity represents an essential aspect of palliative care here.…”
Background: Due to a lack of data, it is unknown if and how frequently in-patients with severe stroke are discharged to free-standing hospice facilities in Germany.Methods: Patients aged 18 or over who had been hospitalized for ischemic stroke (IS) (International Statistical Classification of Diseases, ICD-10: I63), intracerebral bleeding (ICB) (ICD-10: I61), or subarachnoid bleeding (SAB) (ICD-10: I60) were investigated. The analysis was based on data from the Northwest-German Stroke Registry from 2017 to 2020. The aim was to determine the frequency (crude/ age-standardized) of hospital discharges to hospices. In addition, factors influencing the primary outcome, hospital discharge to a free-standing hospice, were assessed using multivariate logistic regression.Results: A total of 339,513 cases of hospitalized patients diagnosed with stroke were recorded, comprising 308,067 (90.7%) with IS, 26,957 (7.9%) with ICB, and 4,489 (1.3%) with SAB. Their mean age was 73.1±13.1 years, and 52.6% were men. During hospitalization, 26,037 patients died (7.7%), including
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