Background And Objectives: Currently when undergoing Australian general practice training, a registrar must determine when clinical supervision is needed. The aim of this study was to identify situations in early Australian general practice training requiring closer supervision and consider how this can be achieved.
Method: The study used a qualitative approach involving 75 registrars, supervisors and medical educators from seven focus groups in Victoria and Tasmania.
Results: Eighty circumstances in which a registrar should call their general practice supervisor were identified. Participants indicated the 'call for help' list should be modified early in the term after considering the registrar's prior experience, and through the term as supervision and teaching identifies readiness for independent practice.
Discussion: The size of the list developed by the focus groups reflects the breadth of general practice. It is a 'call for help' list rather than a safety checklist as it is not exclusively concerned with high-risk scenarios and includes broad triggers to call for help. The 'call for help' list is an aid to patient safety and the supervisor-registrar alliance.
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http://dx.doi.org/10.31128/AJGP-07-19-4997 | DOI Listing |
Int J Surg
January 2025
Department of Orthopedics, Civil Aviation General Hospital, Beijing, China.
Background: Dural arteriovenous fistulas (DAVFs) pose a significant health threat owing to their high misdiagnosis rate. Case reports suggest that DAVFs or related acute events may follow medication use; however, drug-related risk factors remain unclear. In clinical practice, the concomitant use of multiple drugs for therapy is known as "polypharmacy situations," further increasing the risk of drug-induced DAVF.
View Article and Find Full Text PDFEClinicalMedicine
October 2024
Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Unity Health Toronto, Toronto, ON M5B 1W8, Canada.
Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFFront Microbiol
December 2024
College of Life Sciences, Zaozhuang University, Zaozhuang, China.
Introduction: The conjugative transfer of antibiotic resistance genes (ARGs) mediated by plasmids occurred in different intestinal segments of mice was explored.
Methods: The location of ARG donor bacteria and ARGs was investigated by qPCR, flow cytometry, and small animal imaging. The resistant microbiota was analyzed by gene amplification sequencing.
Explor Target Antitumor Ther
November 2024
Division of Pulmonary, Critical Care, and Sleep Disorders Medicine, Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA.
There has been a rapid expansion of immunotherapy options for non-small cell lung cancer (NSCLC) over the past two decades, particularly with the advent of immune checkpoint inhibitors. Despite the emerging role of immunotherapy in adjuvant and neoadjuvant settings though, relatively few patients will respond to immunotherapy which can be problematic due to expense and toxicity; thus, the development of biomarkers capable of predicting immunotherapeutic response is imperative. Due to the promise of a noninvasive, personalized approach capable of providing comprehensive, real-time monitoring of tumor heterogeneity and evolution, there has been wide interest in the concept of using circulating tumor DNA (ctDNA) to predict treatment response.
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