Purpose: The Accreditation Council for Graduate Medical Education implemented the Clinical Learning Environment Review (CLER) program to evaluate and improve the learning environment in teaching hospitals. Hospitals receive a report after a CLER visit with observations about patient safety, among other domains, the accuracy of which is unknown. Thus, the authors set out to identify complementary measures of trainees' patient safety experience.
Method: In 2014, they administered the Hospital Survey on Patient Safety Culture to residents and fellows and general staff at 10 hospitals in an integrated health system. The survey measured perceptions of patient safety in 12 domains and incorporated two outcome measures (number of medical errors reported and overall patient safety). Domain scores were calculated and compared between trainees and staff.
Results: Of 1,426 trainees, 926 responded (65% response rate). Of 18,815 staff, 12,015 responded (64% response rate). Trainees and staff scored five domains similarly-communication openness, facility management support for patient safety, organizational learning/continuous improvement, teamwork across units, and handoffs/transitions of care. Trainees scored four domains higher than staff-nonpunitive response to error, staffing, supervisor/manager expectations and actions promoting patient safety, and teamwork within units. Trainees scored three domains lower than staff-feedback and communication about error, frequency of event reporting, and overall perceptions of patient safety.
Conclusions: Generally, trainees had comparable to more favorable perceptions of patient safety culture compared with staff. They did identify opportunities for improvement though. Hospitals can use perceptions of patient safety culture to complement CLER visit reports to improve patient safety.
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http://dx.doi.org/10.1097/ACM.0000000000001255 | DOI Listing |
Med 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.
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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).
View Article and Find Full Text PDFActa Pharmacol Sin
January 2025
Department of Medical Microbiology & Parasitology, MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences, Fudan University Shanghai Medical College, Shanghai, 200032, China.
Metabolic dysfunction-associated steatotic liver disease (MASLD) covers a broad spectrum of profile from simple fatty liver, evolving to metabolic dysfunction-associated steatohepatitis (MASH), to hepatic fibrosis, further progressing to cirrhosis and hepatocellular carcinoma (HCC). MASLD has become a prevalent disease with 25% in average over the world. MASH is an active stage, and requires pharmacological intervention when there is necroptotic damage with fibrotic progression.
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