Introduction. Patient safety is an important topic. The purpose of this study is to evaluate the perceived versus observed patient safety measures (PSM) in critically ill patients in a teaching hospital in Latin America. Materials and Methods. The level of perceived patient safety was evaluated with the patient safety hospital survey. Three months later, a qualitative study was conducted, including video recording of procedures, graded according to adherence to PSM. Levels of adherence were scored during patient mobilization (PM), placement of central catheters (PCC), other invasive procedures (OIP), infection control (IC), and endotracheal intubation (ETI). Results. The perceived adherence of PSM in the prestudy survey was considered fair by 89.1% of the ICU staff. After the survey, 829 ICU procedures were video-recorded. Mean observed adherence for fair patient safety measures was 20.8%. Perceived adherence was higher than the real patient safety protocol measures observed in the videos. Conclusion. Perception of PSM was higher than observed in the management of critically ill patients in a teaching hospital in southern Colombia.
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http://dx.doi.org/10.1155/2016/2175436 | DOI Listing |
Pharmazie
December 2024
Drug Safety Center, Medical Faculty, Leipzig University and Leipzig University Hospital, Germany.
: Interprofessional education of medical and pharmacy students may improve competence-based university teaching. : We developed a joint bed-side teaching to improve patient-related competencies in identifying drug-related problems in hospitalized patients at a university cardiology department. Students were randomly allocated in mixed teams of medical and pharmacy students (1:3).
View Article and Find Full Text PDFMed Phys
January 2025
OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf, Dresden, Germany.
Background: Patient-specific quality assurance (PSQA) is a crucial yet resource-intensive task in proton therapy, requiring special equipment, expertise and additional beam time. Machine delivery log files contain information about energy, position and monitor units (MU) of all delivered spots, allowing a reconstruction of the applied dose. This raises the prospect of phantomless, log file-based QA (LFQA) as an automated replacement of current phantom-based solutions, provided that such an approach guarantees a comparable level of safety.
View Article and Find Full Text PDFDermatol Ther (Heidelb)
January 2025
Department of Dermatology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand.
Introduction: A novel antifungal formulation combining zinc oxide nanoparticles and Whitfield's spirit solution (ZnO-WFs) was developed to enhance the treatment of superficial fungal foot infections.
Methods: This 8-week, randomized, double-blinded controlled trial compared the efficacy, safety, and cost-effectiveness of ZnO-WFs with those of Whitfield's spirit solution (WFs) alone and a zinc oxide nanoparticle solution (ZnOs). Seventy of the 84 enrolled patients completed the trial.
AAPS PharmSciTech
January 2025
School of Pharmaceutical Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi, India, 110017.
The biopharmaceutical industry has witnessed significant growth in the development and approval of biosimilars. These biosimilars aim to provide cost-effective alternatives to expensive originator biosimilars, alleviating financial pressures within healthcare. The manufacturing of biosimilars is a highly complex process that involves several stages, each of which must meet strict regulatory standards to ensure that the final product is highly similar to the reference biologic.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable patient self-diagnosis and self-triage. IOMIDS included a text model and three multimodal models (text + slit-lamp, text + smartphone, text + slit-lamp + smartphone).
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