Aims: Although digital decision aids (DAs) have been developed to improve shared decision-making (SDM), also in the cardiovascular realm, its implementation seems challenging. This study aims to systematically review the predictors of successful implementation of digital DAs for cardiovascular diseases.
Methods And Results: Searches were conducted in MEDLINE, Embase, PsycInfo, CINAHL, and the Cochrane Library from inception to November 2021.
Background: Enhancing the application of shared decision-making (SDM) is critical for integrating patient preferences in breast cancer treatment choices. We investigated the effect of an adapted multilevel SDM implementation program in breast cancer care. Methods: Breast cancer patients qualifying for (neo)adjuvant systemic treatment were included in a multicenter before−after study.
View Article and Find Full Text PDFObjective: Although patients with vascular diseases often face multiple treatment options with different risks and benefits, the application of shared decision making (SDM) remains low. In SDM, clinicians and their patients work together to decide upon the treatment option that best fits the patient's situation and preference. This study aimed to reveal predictors of the extent to which the SDM process occurs in vascular surgery.
View Article and Find Full Text PDFObjective: Different treatment options are available and feasible for various vascular surgical disorders. Hence, vascular surgery seems an area par excellence for shared decision making (SDM), in which clinicians incorporate the patient's preferences into the final treatment decision. However, current SDM levels in vascular surgical outpatient clinics are below expectations.
View Article and Find Full Text PDFBackground: Shared decision-making (SDM) is particularly important in oncology as many treatments involve serious side effects, and treatment decisions involve a trade-off between benefits and risks. However, the implementation of SDM in oncology care is challenging, and clinicians state that it is difficult to apply SDM in their actual workplace. Training clinicians is known to be an effective means of improving SDM but is considered time consuming.
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