Background Drug-eluting stents reduce the risk of restenosis in patients undergoing percutaneous coronary intervention, but their use necessitates prolonged dual antiplatelet therapy, which increases costs and bleeding risk, and which may delay elective surgeries. While >80% of patients in the United States receive drug-eluting stents, less than a third report that their physicians discussed options with them. Methods and Results An individualized shared decision-making (SDM) tool for stent selection was designed and implemented at 2 US hospitals.
View Article and Find Full Text PDFBackground: The foundation of precision medicine is the ability to tailor therapy based upon the expected risks and benefits of treatment for each individual patient. In a prior study, we implemented a software platform, ePRISM, to execute validated risk-stratification models for patients undergoing percutaneous coronary intervention and found substantial variability in the use of the personalized estimates to tailor care. A better understanding of physicians' perspectives about the use of individualized risk-estimates is needed to overcome barriers to their adoption.
View Article and Find Full Text PDFBackground: National guidelines endorse recombinant tissue-type plasminogen activator (r-tPA) in eligible patients with acute ischemic stroke to improve patients' functional recovery. However, 23% to 40% of ideal candidates with acute ischemic stroke for reperfusion are not treated, perhaps because of the difficulty in explaining the benefits and risks of r-tPA within the frenetic pace of emergency department care. To support better knowledge transfer and creation of a shared decision-making tool, we conducted qualitative interviews to define the information needs and preferred presentation format for stroke survivors, caregivers, and clinicians considering r-tPA treatment.
View Article and Find Full Text PDFObjective: To examine whether prospective bleeding risk estimates for patients undergoing percutaneous coronary intervention could improve the use of bleeding avoidance strategies and reduce bleeding.
Design: Prospective cohort study comparing the use of bleeding avoidance strategies and bleeding rates before and after implementation of prospective risk stratification for peri-procedural bleeding.
Setting: Nine hospitals in the United States.
Background: While the process of informed consent is designed to transfer knowledge of the risks and benefits of treatment and to engage patients in shared medical decision-making, this is poorly done in routine clinical care. We assessed the impact of a novel informed consent form for percutaneous coronary intervention (PCI) that is more simply written, includes images of the procedure, and embeds individualized estimates of outcomes on multiple domains of successful informed consent and shared decision-making.
Methods: We interviewed 590 PCI patients receiving traditional consent documents and 527 patients receiving novel ePRISM consents at 9 US centers and compared patients' perceptions, knowledge transfer, and engagement in medical decision-making.
Objectives: This study sought to assess whether incorporation of routine bleeding risk estimates affected the utilization of bivalirudin during percutaneous coronary intervention (PCI).
Background: Bivalirudin use during PCI has been shown to reduce bleeding complications. However, a risk-treatment paradox exists, in which patients at highest risk for bleeding are least likely to receive bivalirudin.
Objectives: The objective of this study was to compare the consistency in appropriate use criteria (AUC) ratings among a broad range of practicing cardiologists and the AUC Technical Panel.
Background: AUC for coronary revascularization have been developed by selected experts.
Methods: Before AUC publication, 85 cardiologists from 10 U.
Background: In the setting of coronary angiography, generic consent forms permit highly variable communication between patients and physicians. Even with the existence of multiple risk models, clinicians have been unable to readily access them and thus provide patients with vague estimations regarding risks of the procedure.
Methods: We created a web-based vehicle, PREDICT, for embedding patient-specific estimates of risk from validated multivariable models into individualized consent documents at the point-of-care.