Background: Out-of-pocket medication costs for patients who have heart failure with reduced ejection fraction may be an important part of shared decision-making, but cost has generally been excluded from clinical discussions. This study reports patients' perspectives on a decision aid for sacubitril/valsartan that explicitly addresses out-of-pocket costs.
Methods: Structured, in-depth interviews were conducted with 20 patients with heart failure with reduced ejection fraction from 2 medical centers to elicit their views on a publicly available decision aid for sacubitril/valsartan that explicitly incorporates considerations related to out-of-pocket costs.
Background: Heart failure with reduced ejection fraction (HFrEF) benefits from initiation and intensification of multiple pharmacotherapies. Unfortunately, there are major gaps in the routine use of these drugs. Without novel approaches to improve prescribing, the cumulative benefits of HFrEF treatment will be largely unrealized.
View Article and Find Full Text PDFCirc Cardiovasc Qual Outcomes
September 2020
Background: Despite concerns about rising costs in health care, cost is rarely an issue discussed by patients and clinicians when making treatment decisions in a clinical setting. This study aimed to understand stakeholder perspectives on a patient decision aid (PtDA) meant to help patients with heart failure choose between a generic and relatively low-cost heart failure medication (ACE [angiotensin-converting enzyme] inhibitor or angiotensin II receptor blocker) and a newer, but more expensive, heart failure medication (angiotensin II receptor blocker neprilysin inhibitor).
Methods And Results: Feedback on the PtDA was solicited from 26 stakeholders including patients, clinicians, and the manufacturer.
Schools are important contexts for adolescent health and health-risk behaviors, but how stable is this relationship? We develop a conceptual model based on Ecological Systems Theory describing the changing role of schools for adolescent health outcomes-in this case, teen e-cigarette use. To examine this change, we fit Bayesian multilevel regression models to two-year intervals of pooled cross-sectional data from the 2011-2017 U.S.
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