Objective: The study aimed to survey hospital staff knowledge of the application of the Mental Health Act 2007 (NSW) (MHA) and the Guardianship Act 1987 (NSW) (GA) in the care and treatment of older persons in a teaching hospital in Sydney. Method Over a two-month period in 2017, a survey questionnaire was distributed to staff involved in older persons' care across the hospital.
Results: The majority of the hospital staff demonstrated basic theoretical knowledge of both the GA (76%) and of the MHA (84.5%). Fewer (64.5%) appeared to understand the practical application of the MHA in the hypothetical clinical situations. An even lower proportion of staff appeared to understand the application of the GA either to obtain consent for medical treatment or to appoint a guardian through the Guardianship Division of the NSW Civil and Administrative Tribunal (NCAT).
Conclusion: Although clinical staff of the hospital displayed fair knowledge and awareness about the application of the MHA and the GA to inpatient care of older adults, further education is necessary, particularly about the application of the GA. The authors suggest similar findings may occur at other New South Wales hospitals, which may raise concern and need for education.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/1039856218758545 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
HIV interventions across the care continuum for adolescents in high-burden countries: a systematic review and meta-analysis.
EClinicalMedicine
December 2024
University of North Carolina Project-China, Guangzhou, China.
Background: Adolescents (10-19 years old) have poor outcomes across the prevention-to-treatment HIV care continuum, leading to significant mortality and morbidity. We conducted a systematic review and meta-analysis of interventions that documented HIV outcomes among adolescents in HIV high-burden countries.
Methods: We searched PubMed, EMBASE, Scopus, and the Cochrane Library for studies published between January 2015 and September 2024, assessing at least one HIV outcome along the prevention-to-care cascade, including PrEP uptake, HIV testing, awareness of HIV infections, ARV adherence, retention, and virological suppression.
Machine learning analysis of factors affecting college students' academic performance.
Front Psychol
December 2024
Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
This study aims to explore various key factors influencing the academic performance of college students, including metacognitive awareness, learning motivation, participation in learning, environmental factors, time management, and mental health. By employing the chi-square test to identify features closely related to academic performance, this paper discussed the main influencing factors and utilized machine learning models (such as LOG, SVC, RFC, XGBoost) for prediction. Experimental results indicate that the XGBoost model performs the best in terms of recall and accuracy, providing a robust prediction for academic performance.
View Article and Find Full Text PDFTraining system for converting current visual information to bird's-eye view.
Front Psychol
December 2024
Faculty of Systems Information Science, Future University Hakodate, Hakodate, Japan.
Introduction: Effective decision-making in ball games requires the ability to convert positional information from a first-person perspective into a bird's-eye view. To address this need, we developed a virtual reality (VR)-based training system designed to enhance spatial cognition.
Methods: Using a head-mounted virtual reality display, participants engaged in tasks where they tracked multiple moving objects in a virtual space and reproduced their positions from a bird's-eye perspective.
Annotation with widely used, well-structured ontologies, combined with the use of ontology-aware software tools, ensures data and analyses are Findable, Accessible, Interoperable and Reusable (FAIR). Standardized terms with synonyms support lexical search. Ontology structure supports biologically meaningful grouping of annotations (typically by location and type).
View Article and Find Full Text PDFHuman exposure to complex, changing, and variably correlated mixtures of environmental chemicals has presented analytical challenges to epidemiologists and human health researchers. There have been a wide variety of recent advances in statistical methods for analyzing mixtures data, with most of these methods having open-source software for implementation. However, there is no one-size-fits-all method for analyzing mixtures data given the considerable heterogeneity in scientific focus and study design.
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!