Purpose: Men with clinically localized prostate cancer face an archetypal "preference sensitive" treatment decision. A shared decision making process incorporating patient values and preferences is paramount. We evaluated the benefit of a novel decision making application, and investigated associations between patient preferences and treatment choice.
Materials And Methods: We used a novel, web based application that provides education, preference measurement and personalized decision analysis for patients with newly diagnosed prostate cancer. Preferences are measured using conjoint analysis. The application ranks treatment options according to their "fit" (expected value) based on clinical factors and personal preferences, and serves as the basis for shared decision making during the consultation. We administered the decisional conflict scale before and after completion of the application. Additionally, we compared post-visit perceptions of shared decision making between a baseline "usual care" cohort and a cohort seen after the application was integrated into clinical practice.
Results: A total of 109 men completed the application before their consultation, and had decisional conflict measured before and after use. Overall decisional conflict decreased by 37% (p <0.0001). Analysis of the decisional conflict subscales revealed statistically significant improvements in all 5 domains. Patients completing the decision making application (33) felt more included in (88% vs 57%, p=0.01) and jointly responsible for (94% vs 52%, p <0.0001) the decision about further treatment compared to those receiving usual care (24). More patients who completed the application strongly agreed that different treatment options were discussed (94% vs 74%, p=0.02).
Conclusions: Implementation of this web based intervention was associated with decreased decisional conflict and enhanced elements of shared decision making.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.juro.2016.06.082 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Development of a CT radiomics prognostic model for post renal tumor resection overall survival based on transformer enhanced K-means clustering.
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Egg donation advertisements: addressing the regulatory gap.
J Assist Reprod Genet
January 2025
The University of Texas Medical Branch at Galveston, Institute for Bioethics and Health Humanities, School of Public and Population Health, Galveston, TX, USA.
Egg donation is a procedure that is powerfully advertised as a beneficial experience with limited mention of the associated risks. Egg donor recruitment advertisements target young and financially insecure women and can serve as a catalyst for interest in egg donation. In the absence of explicit egg donation advertisement regulations and without counterbalancing information from other sources, potential donors may not be able to recognize how advertisements can be misleading.
View Article and Find Full Text PDFExploring the role of multimodal [F]F-PSMA-1007 PET/CT and multiparametric MRI data in predicting ISUP grading of primary prostate cancer.
Eur J Nucl Med Mol Imaging
January 2025
The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.
View Article and Find Full Text PDFIntelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor.
Commun Eng
January 2025
School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore.
Designing safe and reliable routes is the core of intelligent shipping. However, existing methods for industrial use are inadequate, primarily due to the lack of considering company preferences and ship maneuvering characteristics. To address these challenges, here we introduce a methodological framework that integrates maritime knowledge and autonomous maneuvering model.
View Article and Find Full Text PDFImpact of policy adjustments on low carbon transition strategies in construction using evolutionary game theory.
Sci Rep
January 2025
College of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China.
The construction industry is generally characterized by high emissions, making its transition to low-carbon practices essential for achieving a low-carbon economy. However, due to information asymmetry, there remains a gap in research regarding the strategic interactions and reward/punishment mechanisms between governments and firms throughout this transition. This paper addresses this gap by investigating probabilistic and static reward and punishment evolutionary games.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!