Using Patient Decision Aids for Cardiology Care in Diverse Populations.

PURPOSE OF REVIEW: Patient decision aids (PDAs) are tools that help guide treatment decisions and support shared decision-making when there is equipoise between treatment options. This review focuses on decision aids that are available to support cardiac treatment options for underrepresented groups. RECENT FINDINGS: PDAs have been developed to support multiple treatment decisions in cardiology related to coronary artery disease, valvular heart disease, cardiac arrhythmias, heart failure, and cholesterol management. By considering the unique needs and preferences of diverse populations, PDAs can enhance patient engagement and promote equitable healthcare delivery in cardiology. In this review, we examine the benefits, challenges, and current trends in implementing PDAs, with a focus on improving decision-making processes and outcomes for patients from underrepresented racial and ethnic groups. In addition, the article highlights key considerations when implementing PDAs and potential future directions in the field.

Technology Use in Everyday Financial Activities: Evidence from Online and Offline Survey Data.

OBJECTIVE: Internet use and mobile devices permeate every aspect of our lives and are changing our financial habits. Assessment of financial decision-making (FDM) has not yet caught up to apparent changes in financial behavior. To modernize assessment methods and create current and comprehensive FDM frameworks, we first need to establish the most commonly used and most preferred methods of performing specific financial activities. METHOD: Cross-sectional survey data were collected using an online platform and offline approaches (in person and by mail) (N = 234). The frequency of using technological (e.g., laptop) and non-technological (e.g., in-person banking) means of completing seven financial activities was assessed first, including Depositing checks, Reviewing bank statements, Keeping track of money spent, Transferring funds, Withdrawing cash, Paying bills, and Purchasing products online. Second, preference for technological versus non-technological methods was assessed. Finally, linear regression models examined associations between demographics and preference for technological methods for each financial activity. RESULTS: The majority of respondents (77% online, 74% offline) used technology to perform various financial activities and preferred technological to non-technological methods for completing five out of the six financial activities. Increased preference for technological methods was associated with younger age for all the financial activities, and higher education was associated with reviewing bank statement and transferring funds. CONCLUSIONS: Our survey findings provide empirical evidence for the changing nature of our financial habits. We discuss the implications of this change for researchers, clinicians, and the individuals themselves and emphasize the importance of modernizing FDM tools.