Background: International medical graduates (IMGs) play a crucial role in the United Kingdom National Health Service (NHS), yet they encounter significant challenges adapting to the NHS environment. This study aims to identify the enablers and barriers affecting the adaptation of IMGs, specifically focusing on surgical trainees in the Master of Surgery (MCh) program at Edge Hill University.
Methods: A qualitative approach was employed, utilizing an interpretivist philosophy and descriptive design. Data were collected through focus group discussions with first-year MCh surgical trainees. Thematic analysis was conducted to extract key themes related to adaptation.
Results: Three focus groups with a total of seven participants revealed several enablers and barriers. Enablers included robust administrative support, effective communication courses, comprehensive mentorship programs, and supportive hospital staff. Barriers identified were limited access to formal teaching, a fast-paced academic environment, language and cultural differences, and variations in medical practice.
Conclusion: The successful integration of IMGs into the NHS hinges on strong support systems, including administrative assistance, mentorship, and cultural and communication training. Addressing these barriers can facilitate smoother adaptation, enhance retention, and improve patient care.
Recommendations: To enhance IMG adaptation, the study recommends extensive induction programs, improved mentorship and support networks, cultural competence training, and better access to formal teaching with feedback.
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http://dx.doi.org/10.1055/s-0044-1801774 | DOI Listing |
J Med Internet Res
March 2025
Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia.
Background: Conversational artificial intelligence (AI) allows for engaging interactions, however, its acceptability, barriers, and enablers to support patients with atrial fibrillation (AF) are unknown.
Objective: This work stems from the Coordinating Health care with AI-supported Technology for patients with AF (CHAT-AF) trial and aims to explore patient perspectives on receiving support from a conversational AI support program.
Methods: Patients with AF recruited for a randomized controlled trial who received the intervention were approached for semistructured interviews using purposive sampling.
JMIR Res Protoc
March 2025
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.
Background: Amyotrophic lateral sclerosis (ALS) leads to rapid physiological and functional decline before causing untimely death. Current best-practice approaches to interdisciplinary care are unable to provide adequate monitoring of patients' health. Passive in-home sensor systems enable 24×7 health monitoring.
View Article and Find Full Text PDFOncotarget
March 2025
Worldwide Innovative Network (WIN) Association - WIN Consortium, Chevilly-Larue, France.
The human genome project ushered in a genomic medicine era that was largely unimaginable three decades ago. Discoveries of druggable cancer drivers enabled biomarker-driven gene- and immune-targeted therapy and transformed cancer treatment. Minimizing treatment not expected to benefit, and toxicity-including financial and time-are important goals of modern oncology.
View Article and Find Full Text PDFACS Nano
March 2025
School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, P. R. China.
Mesenchymal stromal cell (MSC) therapy holds great promise for treating myocardial infarction (MI). However, the inflammatory and reactive oxygen species (ROS)-rich environment in infarcted myocardium challenges MSC survival, limiting its therapeutic impact. In this study, we demonstrate that chemical modification of MSCs with anti-VCAM1 and polydopamine (PD) significantly enhances MSC survival and promotes cardiac repair.
View Article and Find Full Text PDFN Engl J Med
March 2025
Department of Disease Control, London School of Hygiene and Tropical Medicine, London.
Background: Hospital studies suggest that scrub typhus is a leading cause of severe undifferentiated fever in regions across Asia where the disease is endemic, but the population-based incidence of infection and illness has been little studied.
Methods: We conducted a population-based cohort study to assess epidemiologic and clinical characteristics of scrub typhus in 37 villages in Tamil Nadu, India, where the disease is highly endemic. Study participants were visited every 6 to 8 weeks over a period of 2 years; a venous blood sample was obtained from those who had had fever since the last visit.
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