Objective: Assess the degree to which medical students accept and consider useful the techniques of problem based learning (PBL) and evaluation among peers. Analyze the association between the number of PBL clinical cases reviewed and the students' perception about their own learning in a basic course.
Methods: A questionnaire was administered to 334 students enrolled in the third semester of medical school (Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México). Questions included acceptability of PBL, peer evaluation, and their perception about the usefulness of these techniques after having used them during the school year. We used a Likert scale to measure opinions on the degree of usefulness of the PBL, perception of their own learning, and the acceptance of the notion that evaluation activities evaluation among peers promote justice and favor the student's character formation. We measured the association of these variables with the number of clinical cases studied using Spearman's rank correlation coefficient.
Results: Most of the students considered that PBL method is useful (82%) and that evaluation activities among peers promote justice and character formation (70%). Students who reviewed more PBL cases considered the PBL activities more useful (rho = 0.489, p < 0.0001), and perceived that they achieved a better learning experience (rho = 0.200, p < 0.0001).
Conclusions: Results show a fair acceptance by the students of the PBL method and activities of peer evaluation. The number of clinical cases reviewed during the course correlated with considering the PBL to be a useful method and perceiving a better learning experience. Our results support the inclusion of PBL and peer evaluation in the medical school curricula.
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J Surg Educ
January 2025
Washington University of St. Louis, Department of Orthopaedic Surgery, St. Louis, Missouri.
Objective: Orthopedic residents are tasked with rapidly acquiring clinical and surgical skills, especially during their PGY-1 year. However, resource constraints and other factors frequently cause skills training to fall short of established guidelines. We aimed to design and evaluate a cross-institutional, month-long curriculum aimed at pooling resources to optimize training.
View Article and Find Full Text PDFBackground: Adherence to self-care behaviors can prevent or delay adverse outcomes associated with cardiovascular disease (CVD). Sex and socioculturally constructed gender might impact individuals' ability to adhere to healthy lifestyles.
Objective: The aim of this study was to systematically identify, evaluate, and synthesize the literature on the influence of sex and gender on adherence to self-care behaviors for CVD risk management in the global context.
Health Justice
January 2025
Center for Health Optimization and Implementation Research, VA Boston Healthcare System, Boston, USA.
Background: Reentry veterans experience many barriers to achieving physical and psychological well-being. While peer specialists can provide important support to veterans as they readjust to life post-incarceration, their specific activities and qualities most valued by veterans are not well known. The Post-Incarceration Engagement (PIE) intervention, coordinated with VA's Health Care for Reentry Veterans (HCRV) program, links reentry veterans with a peer specialist who provides connection to services and social-emotional support during the reentry process.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Background: Plasma biomarkers demonstrated potential in identifying amyloid pathology in early Alzheimer's disease. Different subtypes of subjective cognitive decline (SCD) may lead to different cognitive impairment conversion risks.
Objective: To investigate the differences of plasma biomarkers in SCD subtypes individuals, which were unclear.
J Alzheimers Dis
January 2025
Department of Neurology and the Franke Barrow Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA.
Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.
Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.
Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.
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