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http://dx.doi.org/10.1016/j.fertnstert.2008.06.026 | DOI Listing |
J Acquir Immune Defic Syndr
February 2025
Massachusetts Department of Public Health, Bureau of Infectious Disease and Laboratory Sciences, Boston, MA.
Background: Most young adults with perinatal HIV (PHIV) transition from pediatric or adolescent to adult clinical care. Although guidelines to increase transition success have been recommended, we know little about uptake of these guidelines, particularly by adult care clinics.
Methods: We administered web-based surveys to adult care providers of young adults with PHIV in Massachusetts to evaluate transition preparation and post-transition evaluation practices.
Nurs Educ Perspect
December 2024
About the Authors Justin Fontenot, DNP, RN, NEA-BC, FAADN, is associate professor, Program of Nursing, School of Medicine, Tulane University, New Orleans, Louisiana. Michael Hebert, DNP, MDiv, MSN, BA, RN, MEC, is an instructor, South Louisiana Community College, Lafayette, Louisiana. This work was funded by an internal (ADVANCE) grant from the University of Louisiana at Lafayette. The authors used artificial intelligence (AI) to write and edit this article and improve clarity and flow. The authors carefully reviewed and edited any text generated by AI and take full responsibility for what was included in this article. For more information, contact Dr. Fontenot at
This quantitative descriptive study explored the impact of virtual reality (VR) simulation on nursing students' understanding of social determinants of health (SDOH). The study assessed students' knowledge and attitudes toward SDOH after participating in VR simulations that mimicked diverse home environments and client scenarios. The intervention was intended to prepare future nurses for practice in diverse community settings and deepen their understanding of community challenges, particularly those impacted by socioeconomic disparities.
View Article and Find Full Text PDFAcad Radiol
November 2024
Department of Medical Imaging, Royal University Hospital, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. Electronic address:
Generative artificial intelligence, including large language models (LLMs), holds immense potential to enhance healthcare, medical education, and health research. Recognizing the transformative opportunities and potential risks afforded by LLMs, the Association of Academic Radiology-Radiology Research Alliance convened a task force to explore the promise and pitfalls of using LLMs such as ChatGPT in radiology. This white paper explores the impact of LLMs on radiology education, highlighting their potential to enrich curriculum development, teaching and learning, and learner assessment.
View Article and Find Full Text PDFBMC Health Serv Res
November 2024
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Background: Raising the quality of health services is key to continued progress in improving child health, however, data on service quality are limited and difficult to interpret. The relationship between facility readiness and the quality of care is complex.
Methods: Using publicly available data sets from five low- and middle-income countries (LMICs), we assessed the relationship between structural factors and the clinical quality of care for managing sick children.
Card Fail Rev
September 2024
Division of Cardiology, Structural Heart Disease Center, Henry Ford Hospital Detroit, MI, US.
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