Residency learning

BACKGROUND: Previous studies have identified the consumption of country foods (hunted/harvested foods from the land) as the primary exposure source of perfluoroalkyl acids (PFAA) in Arctic communities. However, identifying the specific foods associated with PFAA exposures is complicated due to correlation between country foods that are commonly consumed together. METHODS: We used venous blood sample data and food frequency questionnaire data from the Qanuilirpitaa? ("How are we now?") 2017 (Q2017) survey of Inuit individuals <mml:math xmlns:mml="https://www...

OBJECTIVES: To describe the design and construction of a reproducible, low-cost, peritonsillar abscess (PTA) incision and drainage simulator and assess its impact on trainees' confidence. METHODS: The 2-part simulator we developed consisted of a manikin head with a fixed, partially open mouth and a modular PTA mold. The mold is created by injecting a lotion and water mixture into plastic bubbles, followed by silicone solidification. Neodymium magnets secure the silicone-abscess packet to the manikin's palate...

BACKGROUND: In recent years, there has been a rise in international (care) movements that prioritise community-centred initiatives such as age-friendly communities, compassionate communities or integrated community care. Although these movements have different focal points, they share common features: seeking to address systemic failures in (care) services, value the participation of end-users, focus on unmet (care) needs, through a local, neighbourhood-oriented approach. In the Flemish and Brussels regions notably the concept of Caring Neighbourhoods is experiencing rapid growth...

The affordable rental housing community in industrial parks has become a large-scale community, but little attention has been paid to this type of community education. Therefore, based on the concept of educational equality, this project aims to explore the path of local colleges participating in community education for affordable rental housing in industrial parks. With convenient samples, empirical research is conducted on the current situation and residents' needs of affordable rental housing community education in the Qianwan New Area Industrial Park ...

Introduction: The COVID-19 pandemic imparted an important shift in strategies postgraduate surgical programs use to recruit, interact with, and select medical students applying through the Canadian Resident Matching Service (CaRMS). With this unprecedented shift toward virtual applicant selection, this study sought to explore and analyze perspectives of the first cohort of program directors (PDs) and applicants who participated in this process. Methods: A cross-sectional survey study was designed using Google Forms for both PDs and applicants participating in the 2021 CaRMS surgical subspecialty selection process...

Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder characterized by communication and social behavior deficits. The presence of restricted and repetitive behaviors often accompanies these deficits, and these characteristics can range from mild to severe. The past several decades have seen a significant rise in the prevalence of ASD. The etiology of ASD remains unknown; however, genetic and environmental risk factors play a role. Multiple hypotheses converge to suggest that neuroinflammation, or at least the interaction between immune and neural systems, may be involved in the etiology of some ASD cases or groups...

Within psychiatry, the proportions of individuals underrepresented in medicine (URM) are lower than are the proportions among the general U.S. population. Holistic review of residency applications may alleviate deficiencies in representation and disparities in care.  A holistic review process was implemented (2021-2022) in the University of California, San Diego, psychiatry residency program. The data (2016-2022) were extracted from the Electronic Residency Application Service to compare differences in the applicant pool before and after implementation of the holistic review...

INTRODUCTION: Robust digital and community-led approaches are needed to combat health misinformation, as highlighted by the COVID-19 pandemic. Such gaps in public health outreach, compounded by systemic health barriers, contributed to higher rates of COVID-19 infection, mortality, and mental health effects among Hispanics during the peak of the pandemic. Thus, we conducted a community-based art-meets-health intervention [Stay Connected Los Angeles (SCLA)] to address the impacts of the COVID-19 pandemic in Hispanic communities...

Simulation is a technique to replace and amplify real experiences with guided ones that evoke or replicate substantial aspects of the real world in a fully interactive fashion. In nephrology (a particularly complex specialty), simulation can be used by patients, nurses, residents, and attending physicians alike. It allows one to learn techniques outside the stressful environment of care such as central venous catheter placement, arteriovenous fistula management, learning about peritoneal dialysis, or performing a kidney biopsy...

Insight into neuroembryology, developmental neuroanatomy and neurophysiology distinguish the diagnostic approaches of paediatric from adult neurologists and general paediatricians. These fundamental disciplines of basic neuroscience could be more effectively taught during paediatric neurology and most residency programmes, that will strengthen career-long learning. Interdisciplinary training of fetal-neonatal neurology within these programs requires working knowledge of neuroembryology applied to maternal reproductive health influencing the maternal-placental-fetal triad, neonate, and young child...

OBJECTIVE: Entrustable professional activities (EPAs) are a crucial component of contemporary postgraduate medical education with many surgery residency programs having implemented EPAs as a competency assessment framework to assess and provide feedback on the performance of their residents. Despite broad implementation of EPAs, there is a paucity of evidence regarding the impact of EPAs on the learners and learning environments. A first step in improving understanding of the use and impact of EPAs is by mapping the rising number of EPA-related publications from the field of surgery...

INTRODUCTION: Training to disclose bad news in a pluridisciplinary format facilitates communication and improves learning. There are many different debriefing methods described in the literature. The aim of this study was to compare and evaluate the value of final debriefing and microdebriefing with interruptions of the scenario in a simulation program about communication in unexpected complications from perioperative care. METHODS: We conducted a prospective, randomized, single center study between October 2018 and July 2019 in a simulation center...

To improve preparedness for natural disasters, it is imperative to understand the factors that enable individual risk-reduction actions. This study offers such insights using innovative real-time (N = 871) and repeated (N = 255) surveys of a sample of coastal residents in Florida regarding flood preparations and their drivers during an imminent threat posed by Hurricane Dorian and its aftermath. Compared with commonly employed cross-sectional surveys, our methodology better represents relationships between preparedness actions undertaken during the disaster threat and their drivers derived from an extended version of Protection Motivation Theory (PMT)...

Accelerated medical school curricula, such as three-year programs, have gained attention in recent years but studies evaluating their impact are still scarce. This study examines the Fully Integrated Readiness for Service Training (FIRST) program, a three-year accelerated pathway, to assess its impact on students' academic performance preparedness for residency. In this observational study, we compared the academic outcomes of FIRST program students to traditional four-year curriculum students from 2018 to 2023...

Dust pollution from storage and handling of materials in dry bulk ports seriously affects air quality and public health in coastal cities. Accurate prediction of dust pollution helps identify risks early and take preventive measures. However, there remain challenges in solving non-stationary time series and selecting relevant features. Besides, existing studies rarely consider impacts of port operations on dust pollution. Therefore, a hybrid approach based on data decomposition and deep learning is proposed to predict dust pollution from dry bulk ports...

BACKGROUND: Given that the temporal bone is one of the most complex regions of the human body, cadaveric dissection of this anatomical area represents the first necessary step for the learning and training of the young oto-surgeon in order to perform middle ear surgery, which includes the management of inflammatory pathology, hearing rehabilitation, and also cognitive decline prevention surgery. The primary objective of this study was to identify common mistakes and critical passages during the initial steps of temporal bone dissection, specifically cortical mastoidectomy and posterior tympanotomy...

Medulloblastoma and pilocytic astrocytoma are the two most common pediatric brain tumors with overlapping imaging features. In this proof-of-concept study, we investigated using a deep learning classifier trained on a multicenter data set to differentiate these tumor types. We developed a patch-based 3D-DenseNet classifier, utilizing automated tumor segmentation. Given the heterogeneity of imaging data (and available sequences), we used all individually available preoperative imaging sequences to make the model robust to varying input...

Proteins need to be located in appropriate spatiotemporal contexts to carry out their diverse biological functions. Mislocalized proteins may lead to a broad range of diseases, such as cancer and Alzheimer's disease. Knowing where a target protein resides within a cell will give insights into tailored drug design for a disease. As the gold validation standard, the conventional wet lab uses fluorescent microscopy imaging, immunoelectron microscopy, and fluorescent biomarker tags for protein subcellular location identification...

BACKGROUND: Code-free deep learning (CFDL) is a novel tool in artificial intelligence (AI). This study directly compared the discriminative performance of CFDL models designed by ophthalmologists without coding experience against bespoke models designed by AI experts in detecting retinal pathologies from optical coherence tomography (OCT) videos and fovea-centered images. METHODS: Using the same internal dataset of 1,173 OCT macular videos and fovea-centered images, model development was performed simultaneously but independently by an ophthalmology resident (CFDL models) and a postdoctoral researcher with expertise in AI (bespoke models)...

BACKGROUND: 3D visualization technology applies computers and other devices to create a realistic virtual world for individuals with various sensory experiences such as 3D vision, touch, and smell to gain a more effective understanding of the relationships between real spatial structures and organizations. The purpose of this study was to comprehensively evaluate the effectiveness of 3D visualization technology in human anatomy teaching/training and explore the potential factors that affect the training effects to better guide the teaching of classroom/laboratory anatomy...