Background: It is necessary to examine the level of perception, knowledge and attitudes of the medical staff for advance medical directives, which are practical alternatives to good practice for end-of-life care in the actual medical field.
Purpose: This study was conducted to determine the degree of perception, knowledge and attitude of cancer hospital medical staff about advance medical directives, and to confirm the relationship between them. It also explored their experiences with advance medical directives.
Methods: This study used a convergent design to collect quantitative and qualitative data separately in the mixed methodology. This design adheres to the STROBE guidelines. Participants were a total of 140 subjects (70 doctors and 70 nurses) with more than 3 years and considered to have sufficient experience related to the study purpose. Focus group participants were a total 19 persons (9 doctors and 10 nurses).
Results: Mean score for perception was 35.40, which indicates lower perception when compared to the median value (37.50 points). Perception of advance medical directives had significant, positive relations with attitude of advance medical directives (p = .032). The perception on attitude of advance medical directives factor was significantly influencing (p = .021). As a result of the analysis based on qualitative research questions, six subjects and 11 categories were created by deriving meaningful sentences from the statements.
Conclusion: This study suggests that the perception of medical professionals about advance medical directives has a positive correlation with attitudes, as well as a causal relationship.
Relevance To Clinical Practice: Based on the finding from this study, concrete strategies and interventions to improve the perception of advance medical directives among cancer hospital medical staff are needed.
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http://dx.doi.org/10.1111/jocn.16090 | DOI Listing |
Sci Rep
December 2024
Department of Biology, University of South Dakota, 414 East Clark Street, Vermillion, SD, 57069-2390, USA.
Psychological distress, including anxiety or mood disorders, emanates from the onset of chronic/unpredictable stressful events. Symptoms in the form of maladaptive behaviors are learned and difficult to treat. While the origin of stress-induced disorders seems to be where learning and stress intersect, this relationship and molecular pathways involved remain largely unresolved.
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December 2024
Department of Chemistry, University of Washington, Box 351700, Seattle, Washington, 98195, USA.
Trigger valves are fundamental features in capillary-driven microfluidic systems that stop fluid at an abrupt geometric expansion and release fluid when there is flow in an orthogonal channel connected to the valve. The concept was originally demonstrated in closed-channel capillary circuits. We show here that trigger valves can be successfully implemented in open channels.
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December 2024
Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.
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December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
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December 2024
Academy of Medical Engineering and Translational Medicine (AMT), Tianjin University, Tianjin, China.
Generalization is central to motor learning. However, few studies are on the learning generalization of BCI-actuated supernumerary robotic finger (BCI-SRF) for human-machine interaction training, and no studies have explored its longitudinal neuroplasticity mechanisms. Here, 20 healthy right-handed participants were recruited and randomly assigned to BCI-SRF group or inborn finger group (Finger) for 4-week training and measured by novel SRF-finger opposition sequences and multimodal MRI.
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