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Characterization of pharmaceutical services in the prison system: cross-sectional study.
Cien Saude Colet
January 2025
Programa de Pós-Graduação em Assistência Farmacêutica, Universidade Federal do Rio Grande do Sul. R. São Luís 150, Santana. 90620-170 Porto Alegre RS Brasil.
Article Synopsis
- The study assessed the organization and infrastructure of pharmaceutical services in the prison system of Rio Grande do Sul, identifying major deficiencies in the primary health care framework.
- Most prison units lacked designated pharmacy areas and standardized procedures, with 78.4% reporting no operational guidelines for pharmacy activities.
- Only a small percentage had a pharmacist on site, and many did not adequately monitor medication storage conditions or have proper medication dispensing processes in place, highlighting significant weaknesses in the system.
Recovery support services as part of the continuum of care for alcohol or drug use disorders.
Addiction
January 2025
Harvard Medical School and Center for Addiction Medicine, Recovery Research Institute, at Massachusetts General Hospital, Boston, MA, USA.
Background: The definition of 'recovery' has evolved beyond merely control of problem substance use to include other aspects of health and wellbeing (known as 'recovery capital') which are important to prevent relapse to problematic alcohol or other drug (AOD) use. Developing a Recovery Oriented System of Care (ROSC) requires consideration of interventions or services (Recovery Support Services, RSS) designed to build recovery capital which are often delivered alongside established treatment structures. Lived experience and its application to the process of engaging people, changing behaviour and relapse prevention is an essential part of these services.
View Article and Find Full Text PDFState of the Art and Emerging Technologies in Vaccine Design for Respiratory Pathogens.
Semin Respir Crit Care Med
January 2025
Monoclonal Antibody Discovery (MAD) Lab, Fondazione Toscana Life Sciences, Siena, Italy.
In this review, we present the efforts made so far in developing effective solutions to prevent infections caused by seven major respiratory pathogens: influenza virus, respiratory syncytial virus (RSV), the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), , (), , and . Advancements driven by the recent coronavirus disease 2019 (COVID-19) crisis have largely focused on viruses, but effective prophylactic solutions for bacterial pathogens are also needed, especially in light of the antimicrobial resistance (AMR) phenomenon. Here, we discuss various innovative key technologies that can help address this critical need, such as (a) the development of Lung-on-Chip ex vivo models to gain a better understanding of the pathogenesis process and the host-microbe interactions; (b) a more thorough investigation of the mechanisms behind mucosal immunity as the first line of defense against pathogens; (c) the identification of correlates of protection (CoPs) which, in conjunction with the Reverse Vaccinology 2.
View Article and Find Full Text PDFKirkendall Effect-Mediated Transformation of ZIF-67 to NiCo-LDH Nanocages as Oxidase Mimics for Multicolor Point-of-Care Testing of β-Galactosidase Activity and .
Anal Chem
January 2025
Yunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming 650500, Yunnan Province, P. R. China.
Early and portable detection of pathogenic bacteria is crucial for ensuring food safety, monitoring product quality, and tracing the sources of bacterial infections. Moving beyond traditional plate-culture counting methods, the analysis of active bacterial components offers a rapid means of quantifying bacteria. Here, metal-organic framework (MOF)-derived NiCo-layered double hydroxide nanosheets (LDHs), synthesized via the Kirkendall effect, were employed as highly effective oxidase mimics to generate reactive oxygen species (ROS).
View Article and Find Full Text PDFPredicting functional outcomes of patients with spontaneous intracerebral hemorrhage based on explainable machine learning models: a multicenter retrospective study.
Front Neurol
January 2025
Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China.
Background: Spontaneous intracerebral hemorrhage (SICH) is the second most common cause of cerebrovascular disease after ischemic stroke, with high mortality and disability rates, imposing a significant economic burden on families and society. This retrospective study aimed to develop and evaluate an interpretable machine learning model to predict functional outcomes 3 months after SICH.
Methods: A retrospective analysis was conducted on clinical data from 380 patients with SICH who were hospitalized at three different centers between June 2020 and June 2023.
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