Objective: Treatment guidelines for schizophrenia recommend that medical decisions should be shared between patients with schizophrenia and their physicians. Our goal was to determine why some patients want to participate in medical decision making and others do not.
Method: To identify determinants of participation preferences in schizophrenia patients (ICD-10 criteria) and in a nonpsychiatric comparison group (multiple sclerosis), we undertook a cross-sectional survey in 4 psychiatric and neurologic hospitals in Germany. Inpatients suffering from schizophrenia or multiple sclerosis (but not both) were consecutively recruited (2007-2008), and 203 patients participated in the study (101 with schizophrenia and 102 with multiple sclerosis). Predictors for patients' participation preferences were identified using a structural equation model.
Results: Patients' reports about their participation preferences in medical decisions can be predicted to a considerable extent (52% of the variance). For patients with schizophrenia, poor treatment satisfaction (P < .001), negative attitudes toward medication (P < .05), better perceived decision making skills (P < .001), and higher education (P < .01) were related to higher participation preferences. In the comparison group, drug attitudes (P < .05) and education (P < .05) were also shown to be related with participation preferences.
Conclusions: Patients with schizophrenia who want to participate in decision making are often dissatisfied with care or are skeptical toward medication. Patients who judge their decisional capacity as poor or who are poorly educated prefer not to participate in decision making. Future implementation strategies for shared decision making must address how dissatisfied patients can be included in decision making and how patients who currently do not want to share decisions can be enabled, empowered, and motivated for shared decision making.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.4088/JCP.10m06119yel | DOI Listing |
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.
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 PDFEur 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 PDFSci 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 PDFSci Rep
January 2025
Department of Orthopedics, Shanghai Changhai Hospital, Shanghai, 200433, China.
With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scoliosis (AIS) can be guided more effectively. However, surgical decision-making and optimal strategies still lack standardization and personalized customization. Our study aims to devise proper deep learning (DL) models that incorporate key factors influencing surgical outcomes on the coronal plane in AIS patients to facilitate surgical decision-making and predict surgical results for AIS patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!