Health care professionals can enhance conversations about serious illness and medical decision-making by adopting a transparent, standardized approach. This article critiques established communication strategies, which often emphasize patient values and goals without providing the necessary medical information to align these goals with a shared understanding of prognosis. We propose an alternate strategy that (1) provides detailed explanations of medical conditions at the beginning of the conversation, (2) includes support persons in discussions, (3) considers capacity, and (4) offers tailored advice by clinicians.
View Article and Find Full Text PDFObjectives: This study aims to develop and validate a Bayesian risk prediction model that combines research cohort data with elicited expert knowledge to predict dementia progression in people with mild cognitive impairment (MCI).
Study Design And Setting: This is a prognostic risk prediction modeling study based on cohort data (Alzheimer's disease neuroimaging initiative [ADNI]; n = 365) of research participants with MCI and elicited expert data. Bayesian Cox models were used to combine expert knowledge and ADNI data to predict dementia progression in people with MCI.
Objectives: Despite three decades of research, gaps remain in meeting the needs of people with dementia and their family/friend carers as they navigate the often-tumultuous process of driving cessation. This paper describes the process of using a knowledge-to-action (KTA) approach to develop an educational web-based resource (i.e.
View Article and Find Full Text PDF