Legal leverage is broadly defined as the use of legal authority to promote treatment adherence. It is widely utilized within mental health courts, drug courts, mandated outpatient treatment programs, and other intervention strategies for individuals with mental illness or chemical dependency who have contact with the criminal justice system. Nonetheless, the ethics of using legal authority to promote treatment adherence remains a hotly debated issue within public and professional circles alike. While critics characterize legal leverage as a coercive form of social control that undermines personal autonomy, advocates contend that it supports autonomy because treatment strategies using legal leverage are designed to promote health and independence. Despite the controversy, there is little evidence regarding the impact of legal leverage on patient autonomy as experienced and expressed by patients themselves. This report presents findings from a qualitative study involving six focus groups with severely mentally ill outpatients who received legal leverage through three forensic assertive community treatment (FACT) programs in Northeastern, Midwestern, and West Coast cities. Findings are discussed in the context of the self-determination theory of human motivation, and practical implications for the use of legal leverage are considered.
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http://dx.doi.org/10.1097/01.HRP.0000450448.48563.c1 | DOI Listing |
BMC Med Inform Decis Mak
January 2025
Department of Information Engineering (DEI), University of Padova, Via G. Gradenigo 6/B, Padua, 35131, Italy.
Background: Post bariatric hypoglycaemic (PBH) is a late complication of weight loss surgery, characterised by critically low blood glucose levels following meal-induced glycaemic excursions. The disabling consequences of PBH underline the need for the development of a decision support system (DSS) that can warn individuals about upcoming PBH events, thus enabling preventive actions to avoid impending episodes. In view of this, we developed various algorithms based on linear and deep learning models to forecast PBH episodes in the short-term.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
View Article and Find Full Text PDFJ Intellect Dev Disabil
December 2024
School of Health Sciences, Faculty of Medicine and Health, Örebro University, Örebro Sweden.
Introduction: There is little research regarding quality of health care for people with profound intellectual and multiple disabilities (PIMD), who often are represented by their relatives, because of their limited communication. The aim of this study was to explore experiences and perspectives of relatives regarding healthcare services for adults with PIMD.
Method: Twelve semi-structured telephone interviews were conducted involving close relatives of people with PIMD: mothers ( = 7), fathers ( = 2), brothers ( = 2) and a sister ( = 1).
ACS Appl Mater Interfaces
January 2025
Department of Chemical Engineering and Environmental Technology, Universidad de Zaragoza, Campus Río Ebro-Edificio I+D, 50018 Zaragoza, Spain.
The emergence of green chemistry and engineering principles to enforce sustainability aspects has ensured the prevalence of green solvents and green processes. Our study addresses this quest by exploring drug delivery applications of hydrophobic deep eutectic solvents (DESs) which are alternative green solvents. Initially, this work showcases the hydrophobic drug solubilization capabilities of a natural hydrophobic DES, menthol, and decanoic acid.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Department of Magnetic Resonance Imaging, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China.
Background: Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges for patient comfort and clinical efficiency. Previously, accelerated imaging techniques were constrained by a trade-off between noise and resolution. Leveraging deep learning-based reconstruction (DLR) holds the potential to mitigate scan time without compromising image quality.
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